Rosa's TurbineBenchmark

Percentage Accurate: 85.0% → 99.7%
Time: 13.4s
Alternatives: 13
Speedup: 1.7×

Specification

?
\[\begin{array}{l} \\ \left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5 \end{array} \]
(FPCore (v w r)
 :precision binary64
 (-
  (-
   (+ 3.0 (/ 2.0 (* r r)))
   (/ (* (* 0.125 (- 3.0 (* 2.0 v))) (* (* (* w w) r) r)) (- 1.0 v)))
  4.5))
double code(double v, double w, double r) {
	return ((3.0 + (2.0 / (r * r))) - (((0.125 * (3.0 - (2.0 * v))) * (((w * w) * r) * r)) / (1.0 - v))) - 4.5;
}
real(8) function code(v, w, r)
    real(8), intent (in) :: v
    real(8), intent (in) :: w
    real(8), intent (in) :: r
    code = ((3.0d0 + (2.0d0 / (r * r))) - (((0.125d0 * (3.0d0 - (2.0d0 * v))) * (((w * w) * r) * r)) / (1.0d0 - v))) - 4.5d0
end function
public static double code(double v, double w, double r) {
	return ((3.0 + (2.0 / (r * r))) - (((0.125 * (3.0 - (2.0 * v))) * (((w * w) * r) * r)) / (1.0 - v))) - 4.5;
}
def code(v, w, r):
	return ((3.0 + (2.0 / (r * r))) - (((0.125 * (3.0 - (2.0 * v))) * (((w * w) * r) * r)) / (1.0 - v))) - 4.5
function code(v, w, r)
	return Float64(Float64(Float64(3.0 + Float64(2.0 / Float64(r * r))) - Float64(Float64(Float64(0.125 * Float64(3.0 - Float64(2.0 * v))) * Float64(Float64(Float64(w * w) * r) * r)) / Float64(1.0 - v))) - 4.5)
end
function tmp = code(v, w, r)
	tmp = ((3.0 + (2.0 / (r * r))) - (((0.125 * (3.0 - (2.0 * v))) * (((w * w) * r) * r)) / (1.0 - v))) - 4.5;
end
code[v_, w_, r_] := N[(N[(N[(3.0 + N[(2.0 / N[(r * r), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[(0.125 * N[(3.0 - N[(2.0 * v), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(w * w), $MachinePrecision] * r), $MachinePrecision] * r), $MachinePrecision]), $MachinePrecision] / N[(1.0 - v), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 4.5), $MachinePrecision]
\begin{array}{l}

\\
\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5
\end{array}

Sampling outcomes in binary64 precision:

Local Percentage Accuracy vs ?

The average percentage accuracy by input value. Horizontal axis shows value of an input variable; the variable is choosen in the title. Vertical axis is accuracy; higher is better. Red represent the original program, while blue represents Herbie's suggestion. These can be toggled with buttons below the plot. The line is an average while dots represent individual samples.

Accuracy vs Speed?

Herbie found 13 alternatives:

AlternativeAccuracySpeedup
The accuracy (vertical axis) and speed (horizontal axis) of each alternatives. Up and to the right is better. The red square shows the initial program, and each blue circle shows an alternative.The line shows the best available speed-accuracy tradeoffs.

Initial Program: 85.0% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5 \end{array} \]
(FPCore (v w r)
 :precision binary64
 (-
  (-
   (+ 3.0 (/ 2.0 (* r r)))
   (/ (* (* 0.125 (- 3.0 (* 2.0 v))) (* (* (* w w) r) r)) (- 1.0 v)))
  4.5))
double code(double v, double w, double r) {
	return ((3.0 + (2.0 / (r * r))) - (((0.125 * (3.0 - (2.0 * v))) * (((w * w) * r) * r)) / (1.0 - v))) - 4.5;
}
real(8) function code(v, w, r)
    real(8), intent (in) :: v
    real(8), intent (in) :: w
    real(8), intent (in) :: r
    code = ((3.0d0 + (2.0d0 / (r * r))) - (((0.125d0 * (3.0d0 - (2.0d0 * v))) * (((w * w) * r) * r)) / (1.0d0 - v))) - 4.5d0
end function
public static double code(double v, double w, double r) {
	return ((3.0 + (2.0 / (r * r))) - (((0.125 * (3.0 - (2.0 * v))) * (((w * w) * r) * r)) / (1.0 - v))) - 4.5;
}
def code(v, w, r):
	return ((3.0 + (2.0 / (r * r))) - (((0.125 * (3.0 - (2.0 * v))) * (((w * w) * r) * r)) / (1.0 - v))) - 4.5
function code(v, w, r)
	return Float64(Float64(Float64(3.0 + Float64(2.0 / Float64(r * r))) - Float64(Float64(Float64(0.125 * Float64(3.0 - Float64(2.0 * v))) * Float64(Float64(Float64(w * w) * r) * r)) / Float64(1.0 - v))) - 4.5)
end
function tmp = code(v, w, r)
	tmp = ((3.0 + (2.0 / (r * r))) - (((0.125 * (3.0 - (2.0 * v))) * (((w * w) * r) * r)) / (1.0 - v))) - 4.5;
end
code[v_, w_, r_] := N[(N[(N[(3.0 + N[(2.0 / N[(r * r), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[(0.125 * N[(3.0 - N[(2.0 * v), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(w * w), $MachinePrecision] * r), $MachinePrecision] * r), $MachinePrecision]), $MachinePrecision] / N[(1.0 - v), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 4.5), $MachinePrecision]
\begin{array}{l}

\\
\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5
\end{array}

Alternative 1: 99.7% accurate, 1.2× speedup?

\[\begin{array}{l} \\ \frac{2}{r \cdot r} + \left(\left(0.375 + v \cdot -0.25\right) \cdot \frac{\left(r \cdot w\right) \cdot \left(r \cdot w\right)}{v + -1} + -1.5\right) \end{array} \]
(FPCore (v w r)
 :precision binary64
 (+
  (/ 2.0 (* r r))
  (+ (* (+ 0.375 (* v -0.25)) (/ (* (* r w) (* r w)) (+ v -1.0))) -1.5)))
double code(double v, double w, double r) {
	return (2.0 / (r * r)) + (((0.375 + (v * -0.25)) * (((r * w) * (r * w)) / (v + -1.0))) + -1.5);
}
real(8) function code(v, w, r)
    real(8), intent (in) :: v
    real(8), intent (in) :: w
    real(8), intent (in) :: r
    code = (2.0d0 / (r * r)) + (((0.375d0 + (v * (-0.25d0))) * (((r * w) * (r * w)) / (v + (-1.0d0)))) + (-1.5d0))
end function
public static double code(double v, double w, double r) {
	return (2.0 / (r * r)) + (((0.375 + (v * -0.25)) * (((r * w) * (r * w)) / (v + -1.0))) + -1.5);
}
def code(v, w, r):
	return (2.0 / (r * r)) + (((0.375 + (v * -0.25)) * (((r * w) * (r * w)) / (v + -1.0))) + -1.5)
function code(v, w, r)
	return Float64(Float64(2.0 / Float64(r * r)) + Float64(Float64(Float64(0.375 + Float64(v * -0.25)) * Float64(Float64(Float64(r * w) * Float64(r * w)) / Float64(v + -1.0))) + -1.5))
end
function tmp = code(v, w, r)
	tmp = (2.0 / (r * r)) + (((0.375 + (v * -0.25)) * (((r * w) * (r * w)) / (v + -1.0))) + -1.5);
end
code[v_, w_, r_] := N[(N[(2.0 / N[(r * r), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(0.375 + N[(v * -0.25), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(r * w), $MachinePrecision] * N[(r * w), $MachinePrecision]), $MachinePrecision] / N[(v + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + -1.5), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\frac{2}{r \cdot r} + \left(\left(0.375 + v \cdot -0.25\right) \cdot \frac{\left(r \cdot w\right) \cdot \left(r \cdot w\right)}{v + -1} + -1.5\right)
\end{array}
Derivation
  1. Initial program 86.5%

    \[\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5 \]
  2. Step-by-step derivation
    1. associate--l-N/A

      \[\leadsto \left(3 + \frac{2}{r \cdot r}\right) - \color{blue}{\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)} \]
    2. +-commutativeN/A

      \[\leadsto \left(\frac{2}{r \cdot r} + 3\right) - \left(\color{blue}{\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}} + \frac{9}{2}\right) \]
    3. associate--l+N/A

      \[\leadsto \frac{2}{r \cdot r} + \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)} \]
    4. +-lowering-+.f64N/A

      \[\leadsto \mathsf{+.f64}\left(\left(\frac{2}{r \cdot r}\right), \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)}\right) \]
    5. /-lowering-/.f64N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \left(r \cdot r\right)\right), \left(\color{blue}{3} - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
    6. *-lowering-*.f64N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
    7. associate--r+N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 - \frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - \color{blue}{\frac{9}{2}}\right)\right) \]
    8. sub-negN/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 + \left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right)\right) - \frac{9}{2}\right)\right) \]
    9. +-commutativeN/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + 3\right) - \frac{9}{2}\right)\right) \]
    10. associate--l+N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \color{blue}{\left(3 - \frac{9}{2}\right)}\right)\right) \]
    11. metadata-evalN/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \frac{-3}{2}\right)\right) \]
    12. metadata-evalN/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\frac{-9}{2} + \color{blue}{3}\right)\right)\right) \]
    13. metadata-evalN/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\left(\mathsf{neg}\left(\frac{9}{2}\right)\right) + 3\right)\right)\right) \]
  3. Simplified95.3%

    \[\leadsto \color{blue}{\frac{2}{r \cdot r} + \left(\left(0.375 + v \cdot -0.25\right) \cdot \frac{r \cdot \left(w \cdot \left(r \cdot w\right)\right)}{v + -1} + -1.5\right)} \]
  4. Add Preprocessing
  5. Step-by-step derivation
    1. associate-*r*N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{+.f64}\left(\frac{3}{8}, \mathsf{*.f64}\left(v, \frac{-1}{4}\right)\right), \mathsf{/.f64}\left(\left(\left(r \cdot w\right) \cdot \left(r \cdot w\right)\right), \mathsf{+.f64}\left(v, -1\right)\right)\right), \frac{-3}{2}\right)\right) \]
    2. *-lowering-*.f64N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{+.f64}\left(\frac{3}{8}, \mathsf{*.f64}\left(v, \frac{-1}{4}\right)\right), \mathsf{/.f64}\left(\mathsf{*.f64}\left(\left(r \cdot w\right), \left(r \cdot w\right)\right), \mathsf{+.f64}\left(v, -1\right)\right)\right), \frac{-3}{2}\right)\right) \]
    3. *-lowering-*.f64N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{+.f64}\left(\frac{3}{8}, \mathsf{*.f64}\left(v, \frac{-1}{4}\right)\right), \mathsf{/.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, w\right), \left(r \cdot w\right)\right), \mathsf{+.f64}\left(v, -1\right)\right)\right), \frac{-3}{2}\right)\right) \]
    4. *-lowering-*.f6499.8%

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{+.f64}\left(\frac{3}{8}, \mathsf{*.f64}\left(v, \frac{-1}{4}\right)\right), \mathsf{/.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, w\right), \mathsf{*.f64}\left(r, w\right)\right), \mathsf{+.f64}\left(v, -1\right)\right)\right), \frac{-3}{2}\right)\right) \]
  6. Applied egg-rr99.8%

    \[\leadsto \frac{2}{r \cdot r} + \left(\left(0.375 + v \cdot -0.25\right) \cdot \frac{\color{blue}{\left(r \cdot w\right) \cdot \left(r \cdot w\right)}}{v + -1} + -1.5\right) \]
  7. Add Preprocessing

Alternative 2: 93.0% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{2}{r \cdot r}\\ \mathbf{if}\;r \leq 6.8 \cdot 10^{-29}:\\ \;\;\;\;t\_0 + \left(-1.5 - w \cdot \left(w \cdot \left(\left(r \cdot r\right) \cdot 0.25\right)\right)\right)\\ \mathbf{else}:\\ \;\;\;\;t\_0 + \left(-1.5 + \left(0.375 + v \cdot -0.25\right) \cdot \frac{r \cdot \left(w \cdot \left(r \cdot w\right)\right)}{v + -1}\right)\\ \end{array} \end{array} \]
(FPCore (v w r)
 :precision binary64
 (let* ((t_0 (/ 2.0 (* r r))))
   (if (<= r 6.8e-29)
     (+ t_0 (- -1.5 (* w (* w (* (* r r) 0.25)))))
     (+
      t_0
      (+ -1.5 (* (+ 0.375 (* v -0.25)) (/ (* r (* w (* r w))) (+ v -1.0))))))))
double code(double v, double w, double r) {
	double t_0 = 2.0 / (r * r);
	double tmp;
	if (r <= 6.8e-29) {
		tmp = t_0 + (-1.5 - (w * (w * ((r * r) * 0.25))));
	} else {
		tmp = t_0 + (-1.5 + ((0.375 + (v * -0.25)) * ((r * (w * (r * w))) / (v + -1.0))));
	}
	return tmp;
}
real(8) function code(v, w, r)
    real(8), intent (in) :: v
    real(8), intent (in) :: w
    real(8), intent (in) :: r
    real(8) :: t_0
    real(8) :: tmp
    t_0 = 2.0d0 / (r * r)
    if (r <= 6.8d-29) then
        tmp = t_0 + ((-1.5d0) - (w * (w * ((r * r) * 0.25d0))))
    else
        tmp = t_0 + ((-1.5d0) + ((0.375d0 + (v * (-0.25d0))) * ((r * (w * (r * w))) / (v + (-1.0d0)))))
    end if
    code = tmp
end function
public static double code(double v, double w, double r) {
	double t_0 = 2.0 / (r * r);
	double tmp;
	if (r <= 6.8e-29) {
		tmp = t_0 + (-1.5 - (w * (w * ((r * r) * 0.25))));
	} else {
		tmp = t_0 + (-1.5 + ((0.375 + (v * -0.25)) * ((r * (w * (r * w))) / (v + -1.0))));
	}
	return tmp;
}
def code(v, w, r):
	t_0 = 2.0 / (r * r)
	tmp = 0
	if r <= 6.8e-29:
		tmp = t_0 + (-1.5 - (w * (w * ((r * r) * 0.25))))
	else:
		tmp = t_0 + (-1.5 + ((0.375 + (v * -0.25)) * ((r * (w * (r * w))) / (v + -1.0))))
	return tmp
function code(v, w, r)
	t_0 = Float64(2.0 / Float64(r * r))
	tmp = 0.0
	if (r <= 6.8e-29)
		tmp = Float64(t_0 + Float64(-1.5 - Float64(w * Float64(w * Float64(Float64(r * r) * 0.25)))));
	else
		tmp = Float64(t_0 + Float64(-1.5 + Float64(Float64(0.375 + Float64(v * -0.25)) * Float64(Float64(r * Float64(w * Float64(r * w))) / Float64(v + -1.0)))));
	end
	return tmp
end
function tmp_2 = code(v, w, r)
	t_0 = 2.0 / (r * r);
	tmp = 0.0;
	if (r <= 6.8e-29)
		tmp = t_0 + (-1.5 - (w * (w * ((r * r) * 0.25))));
	else
		tmp = t_0 + (-1.5 + ((0.375 + (v * -0.25)) * ((r * (w * (r * w))) / (v + -1.0))));
	end
	tmp_2 = tmp;
end
code[v_, w_, r_] := Block[{t$95$0 = N[(2.0 / N[(r * r), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[r, 6.8e-29], N[(t$95$0 + N[(-1.5 - N[(w * N[(w * N[(N[(r * r), $MachinePrecision] * 0.25), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$0 + N[(-1.5 + N[(N[(0.375 + N[(v * -0.25), $MachinePrecision]), $MachinePrecision] * N[(N[(r * N[(w * N[(r * w), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(v + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \frac{2}{r \cdot r}\\
\mathbf{if}\;r \leq 6.8 \cdot 10^{-29}:\\
\;\;\;\;t\_0 + \left(-1.5 - w \cdot \left(w \cdot \left(\left(r \cdot r\right) \cdot 0.25\right)\right)\right)\\

\mathbf{else}:\\
\;\;\;\;t\_0 + \left(-1.5 + \left(0.375 + v \cdot -0.25\right) \cdot \frac{r \cdot \left(w \cdot \left(r \cdot w\right)\right)}{v + -1}\right)\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if r < 6.79999999999999945e-29

    1. Initial program 84.6%

      \[\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5 \]
    2. Step-by-step derivation
      1. associate--l-N/A

        \[\leadsto \left(3 + \frac{2}{r \cdot r}\right) - \color{blue}{\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)} \]
      2. +-commutativeN/A

        \[\leadsto \left(\frac{2}{r \cdot r} + 3\right) - \left(\color{blue}{\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}} + \frac{9}{2}\right) \]
      3. associate--l+N/A

        \[\leadsto \frac{2}{r \cdot r} + \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)} \]
      4. +-lowering-+.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\left(\frac{2}{r \cdot r}\right), \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)}\right) \]
      5. /-lowering-/.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \left(r \cdot r\right)\right), \left(\color{blue}{3} - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
      6. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
      7. associate--r+N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 - \frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - \color{blue}{\frac{9}{2}}\right)\right) \]
      8. sub-negN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 + \left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right)\right) - \frac{9}{2}\right)\right) \]
      9. +-commutativeN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + 3\right) - \frac{9}{2}\right)\right) \]
      10. associate--l+N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \color{blue}{\left(3 - \frac{9}{2}\right)}\right)\right) \]
      11. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \frac{-3}{2}\right)\right) \]
      12. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\frac{-9}{2} + \color{blue}{3}\right)\right)\right) \]
      13. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\left(\mathsf{neg}\left(\frac{9}{2}\right)\right) + 3\right)\right)\right) \]
    3. Simplified93.6%

      \[\leadsto \color{blue}{\frac{2}{r \cdot r} + \left(\left(0.375 + v \cdot -0.25\right) \cdot \frac{r \cdot \left(w \cdot \left(r \cdot w\right)\right)}{v + -1} + -1.5\right)} \]
    4. Add Preprocessing
    5. Taylor expanded in v around inf

      \[\leadsto \color{blue}{\left(\frac{-1}{4} \cdot \left({r}^{2} \cdot {w}^{2}\right) + 2 \cdot \frac{1}{{r}^{2}}\right) - \frac{3}{2}} \]
    6. Step-by-step derivation
      1. associate--l+N/A

        \[\leadsto \frac{-1}{4} \cdot \left({r}^{2} \cdot {w}^{2}\right) + \color{blue}{\left(2 \cdot \frac{1}{{r}^{2}} - \frac{3}{2}\right)} \]
      2. +-commutativeN/A

        \[\leadsto \left(2 \cdot \frac{1}{{r}^{2}} - \frac{3}{2}\right) + \color{blue}{\frac{-1}{4} \cdot \left({r}^{2} \cdot {w}^{2}\right)} \]
      3. metadata-evalN/A

        \[\leadsto \left(2 \cdot \frac{1}{{r}^{2}} - \frac{3}{2}\right) + \left(\mathsf{neg}\left(\frac{1}{4}\right)\right) \cdot \left(\color{blue}{{r}^{2}} \cdot {w}^{2}\right) \]
      4. cancel-sign-sub-invN/A

        \[\leadsto \left(2 \cdot \frac{1}{{r}^{2}} - \frac{3}{2}\right) - \color{blue}{\frac{1}{4} \cdot \left({r}^{2} \cdot {w}^{2}\right)} \]
      5. sub-negN/A

        \[\leadsto \left(2 \cdot \frac{1}{{r}^{2}} + \left(\mathsf{neg}\left(\frac{3}{2}\right)\right)\right) - \color{blue}{\frac{1}{4}} \cdot \left({r}^{2} \cdot {w}^{2}\right) \]
      6. metadata-evalN/A

        \[\leadsto \left(2 \cdot \frac{1}{{r}^{2}} + \frac{-3}{2}\right) - \frac{1}{4} \cdot \left({r}^{2} \cdot {w}^{2}\right) \]
      7. associate--l+N/A

        \[\leadsto 2 \cdot \frac{1}{{r}^{2}} + \color{blue}{\left(\frac{-3}{2} - \frac{1}{4} \cdot \left({r}^{2} \cdot {w}^{2}\right)\right)} \]
      8. +-lowering-+.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\left(2 \cdot \frac{1}{{r}^{2}}\right), \color{blue}{\left(\frac{-3}{2} - \frac{1}{4} \cdot \left({r}^{2} \cdot {w}^{2}\right)\right)}\right) \]
      9. associate-*r/N/A

        \[\leadsto \mathsf{+.f64}\left(\left(\frac{2 \cdot 1}{{r}^{2}}\right), \left(\color{blue}{\frac{-3}{2}} - \frac{1}{4} \cdot \left({r}^{2} \cdot {w}^{2}\right)\right)\right) \]
      10. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\left(\frac{2}{{r}^{2}}\right), \left(\frac{-3}{2} - \frac{1}{4} \cdot \left({r}^{2} \cdot {w}^{2}\right)\right)\right) \]
      11. /-lowering-/.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \left({r}^{2}\right)\right), \left(\color{blue}{\frac{-3}{2}} - \frac{1}{4} \cdot \left({r}^{2} \cdot {w}^{2}\right)\right)\right) \]
      12. unpow2N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \left(r \cdot r\right)\right), \left(\frac{-3}{2} - \frac{1}{4} \cdot \left({r}^{2} \cdot {w}^{2}\right)\right)\right) \]
      13. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\frac{-3}{2} - \frac{1}{4} \cdot \left({r}^{2} \cdot {w}^{2}\right)\right)\right) \]
      14. --lowering--.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{\_.f64}\left(\frac{-3}{2}, \color{blue}{\left(\frac{1}{4} \cdot \left({r}^{2} \cdot {w}^{2}\right)\right)}\right)\right) \]
      15. associate-*r*N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{\_.f64}\left(\frac{-3}{2}, \left(\left(\frac{1}{4} \cdot {r}^{2}\right) \cdot \color{blue}{{w}^{2}}\right)\right)\right) \]
      16. unpow2N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{\_.f64}\left(\frac{-3}{2}, \left(\left(\frac{1}{4} \cdot {r}^{2}\right) \cdot \left(w \cdot \color{blue}{w}\right)\right)\right)\right) \]
      17. associate-*r*N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{\_.f64}\left(\frac{-3}{2}, \left(\left(\left(\frac{1}{4} \cdot {r}^{2}\right) \cdot w\right) \cdot \color{blue}{w}\right)\right)\right) \]
      18. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{\_.f64}\left(\frac{-3}{2}, \mathsf{*.f64}\left(\left(\left(\frac{1}{4} \cdot {r}^{2}\right) \cdot w\right), \color{blue}{w}\right)\right)\right) \]
    7. Simplified93.5%

      \[\leadsto \color{blue}{\frac{2}{r \cdot r} + \left(-1.5 - \left(\left(\left(r \cdot r\right) \cdot 0.25\right) \cdot w\right) \cdot w\right)} \]

    if 6.79999999999999945e-29 < r

    1. Initial program 91.7%

      \[\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5 \]
    2. Step-by-step derivation
      1. associate--l-N/A

        \[\leadsto \left(3 + \frac{2}{r \cdot r}\right) - \color{blue}{\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)} \]
      2. +-commutativeN/A

        \[\leadsto \left(\frac{2}{r \cdot r} + 3\right) - \left(\color{blue}{\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}} + \frac{9}{2}\right) \]
      3. associate--l+N/A

        \[\leadsto \frac{2}{r \cdot r} + \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)} \]
      4. +-lowering-+.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\left(\frac{2}{r \cdot r}\right), \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)}\right) \]
      5. /-lowering-/.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \left(r \cdot r\right)\right), \left(\color{blue}{3} - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
      6. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
      7. associate--r+N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 - \frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - \color{blue}{\frac{9}{2}}\right)\right) \]
      8. sub-negN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 + \left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right)\right) - \frac{9}{2}\right)\right) \]
      9. +-commutativeN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + 3\right) - \frac{9}{2}\right)\right) \]
      10. associate--l+N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \color{blue}{\left(3 - \frac{9}{2}\right)}\right)\right) \]
      11. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \frac{-3}{2}\right)\right) \]
      12. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\frac{-9}{2} + \color{blue}{3}\right)\right)\right) \]
      13. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\left(\mathsf{neg}\left(\frac{9}{2}\right)\right) + 3\right)\right)\right) \]
    3. Simplified99.8%

      \[\leadsto \color{blue}{\frac{2}{r \cdot r} + \left(\left(0.375 + v \cdot -0.25\right) \cdot \frac{r \cdot \left(w \cdot \left(r \cdot w\right)\right)}{v + -1} + -1.5\right)} \]
    4. Add Preprocessing
  3. Recombined 2 regimes into one program.
  4. Final simplification95.2%

    \[\leadsto \begin{array}{l} \mathbf{if}\;r \leq 6.8 \cdot 10^{-29}:\\ \;\;\;\;\frac{2}{r \cdot r} + \left(-1.5 - w \cdot \left(w \cdot \left(\left(r \cdot r\right) \cdot 0.25\right)\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{2}{r \cdot r} + \left(-1.5 + \left(0.375 + v \cdot -0.25\right) \cdot \frac{r \cdot \left(w \cdot \left(r \cdot w\right)\right)}{v + -1}\right)\\ \end{array} \]
  5. Add Preprocessing

Alternative 3: 66.4% accurate, 1.1× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{2}{r \cdot r}\\ \mathbf{if}\;r \leq 2.8 \cdot 10^{-116}:\\ \;\;\;\;t\_0\\ \mathbf{elif}\;r \leq 3.8 \cdot 10^{+151}:\\ \;\;\;\;t\_0 + \left(-1.5 + \left(r \cdot r\right) \cdot \left(-0.375 \cdot \left(w \cdot w\right)\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\left(r \cdot w\right) \cdot \left(r \cdot \left(w \cdot -0.375\right)\right)\\ \end{array} \end{array} \]
(FPCore (v w r)
 :precision binary64
 (let* ((t_0 (/ 2.0 (* r r))))
   (if (<= r 2.8e-116)
     t_0
     (if (<= r 3.8e+151)
       (+ t_0 (+ -1.5 (* (* r r) (* -0.375 (* w w)))))
       (* (* r w) (* r (* w -0.375)))))))
double code(double v, double w, double r) {
	double t_0 = 2.0 / (r * r);
	double tmp;
	if (r <= 2.8e-116) {
		tmp = t_0;
	} else if (r <= 3.8e+151) {
		tmp = t_0 + (-1.5 + ((r * r) * (-0.375 * (w * w))));
	} else {
		tmp = (r * w) * (r * (w * -0.375));
	}
	return tmp;
}
real(8) function code(v, w, r)
    real(8), intent (in) :: v
    real(8), intent (in) :: w
    real(8), intent (in) :: r
    real(8) :: t_0
    real(8) :: tmp
    t_0 = 2.0d0 / (r * r)
    if (r <= 2.8d-116) then
        tmp = t_0
    else if (r <= 3.8d+151) then
        tmp = t_0 + ((-1.5d0) + ((r * r) * ((-0.375d0) * (w * w))))
    else
        tmp = (r * w) * (r * (w * (-0.375d0)))
    end if
    code = tmp
end function
public static double code(double v, double w, double r) {
	double t_0 = 2.0 / (r * r);
	double tmp;
	if (r <= 2.8e-116) {
		tmp = t_0;
	} else if (r <= 3.8e+151) {
		tmp = t_0 + (-1.5 + ((r * r) * (-0.375 * (w * w))));
	} else {
		tmp = (r * w) * (r * (w * -0.375));
	}
	return tmp;
}
def code(v, w, r):
	t_0 = 2.0 / (r * r)
	tmp = 0
	if r <= 2.8e-116:
		tmp = t_0
	elif r <= 3.8e+151:
		tmp = t_0 + (-1.5 + ((r * r) * (-0.375 * (w * w))))
	else:
		tmp = (r * w) * (r * (w * -0.375))
	return tmp
function code(v, w, r)
	t_0 = Float64(2.0 / Float64(r * r))
	tmp = 0.0
	if (r <= 2.8e-116)
		tmp = t_0;
	elseif (r <= 3.8e+151)
		tmp = Float64(t_0 + Float64(-1.5 + Float64(Float64(r * r) * Float64(-0.375 * Float64(w * w)))));
	else
		tmp = Float64(Float64(r * w) * Float64(r * Float64(w * -0.375)));
	end
	return tmp
end
function tmp_2 = code(v, w, r)
	t_0 = 2.0 / (r * r);
	tmp = 0.0;
	if (r <= 2.8e-116)
		tmp = t_0;
	elseif (r <= 3.8e+151)
		tmp = t_0 + (-1.5 + ((r * r) * (-0.375 * (w * w))));
	else
		tmp = (r * w) * (r * (w * -0.375));
	end
	tmp_2 = tmp;
end
code[v_, w_, r_] := Block[{t$95$0 = N[(2.0 / N[(r * r), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[r, 2.8e-116], t$95$0, If[LessEqual[r, 3.8e+151], N[(t$95$0 + N[(-1.5 + N[(N[(r * r), $MachinePrecision] * N[(-0.375 * N[(w * w), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(r * w), $MachinePrecision] * N[(r * N[(w * -0.375), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \frac{2}{r \cdot r}\\
\mathbf{if}\;r \leq 2.8 \cdot 10^{-116}:\\
\;\;\;\;t\_0\\

\mathbf{elif}\;r \leq 3.8 \cdot 10^{+151}:\\
\;\;\;\;t\_0 + \left(-1.5 + \left(r \cdot r\right) \cdot \left(-0.375 \cdot \left(w \cdot w\right)\right)\right)\\

\mathbf{else}:\\
\;\;\;\;\left(r \cdot w\right) \cdot \left(r \cdot \left(w \cdot -0.375\right)\right)\\


\end{array}
\end{array}
Derivation
  1. Split input into 3 regimes
  2. if r < 2.7999999999999999e-116

    1. Initial program 84.7%

      \[\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5 \]
    2. Step-by-step derivation
      1. associate--l-N/A

        \[\leadsto \left(3 + \frac{2}{r \cdot r}\right) - \color{blue}{\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)} \]
      2. +-commutativeN/A

        \[\leadsto \left(\frac{2}{r \cdot r} + 3\right) - \left(\color{blue}{\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}} + \frac{9}{2}\right) \]
      3. associate--l+N/A

        \[\leadsto \frac{2}{r \cdot r} + \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)} \]
      4. +-lowering-+.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\left(\frac{2}{r \cdot r}\right), \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)}\right) \]
      5. /-lowering-/.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \left(r \cdot r\right)\right), \left(\color{blue}{3} - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
      6. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
      7. associate--r+N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 - \frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - \color{blue}{\frac{9}{2}}\right)\right) \]
      8. sub-negN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 + \left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right)\right) - \frac{9}{2}\right)\right) \]
      9. +-commutativeN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + 3\right) - \frac{9}{2}\right)\right) \]
      10. associate--l+N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \color{blue}{\left(3 - \frac{9}{2}\right)}\right)\right) \]
      11. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \frac{-3}{2}\right)\right) \]
      12. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\frac{-9}{2} + \color{blue}{3}\right)\right)\right) \]
      13. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\left(\mathsf{neg}\left(\frac{9}{2}\right)\right) + 3\right)\right)\right) \]
    3. Simplified94.2%

      \[\leadsto \color{blue}{\frac{2}{r \cdot r} + \left(\left(0.375 + v \cdot -0.25\right) \cdot \frac{r \cdot \left(w \cdot \left(r \cdot w\right)\right)}{v + -1} + -1.5\right)} \]
    4. Add Preprocessing
    5. Taylor expanded in r around 0

      \[\leadsto \color{blue}{\frac{2}{{r}^{2}}} \]
    6. Step-by-step derivation
      1. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(2, \color{blue}{\left({r}^{2}\right)}\right) \]
      2. unpow2N/A

        \[\leadsto \mathsf{/.f64}\left(2, \left(r \cdot \color{blue}{r}\right)\right) \]
      3. *-lowering-*.f6462.5%

        \[\leadsto \mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, \color{blue}{r}\right)\right) \]
    7. Simplified62.5%

      \[\leadsto \color{blue}{\frac{2}{r \cdot r}} \]

    if 2.7999999999999999e-116 < r < 3.8e151

    1. Initial program 91.9%

      \[\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5 \]
    2. Step-by-step derivation
      1. associate--l-N/A

        \[\leadsto \left(3 + \frac{2}{r \cdot r}\right) - \color{blue}{\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)} \]
      2. +-commutativeN/A

        \[\leadsto \left(\frac{2}{r \cdot r} + 3\right) - \left(\color{blue}{\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}} + \frac{9}{2}\right) \]
      3. associate--l+N/A

        \[\leadsto \frac{2}{r \cdot r} + \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)} \]
      4. +-lowering-+.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\left(\frac{2}{r \cdot r}\right), \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)}\right) \]
      5. /-lowering-/.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \left(r \cdot r\right)\right), \left(\color{blue}{3} - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
      6. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
      7. associate--r+N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 - \frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - \color{blue}{\frac{9}{2}}\right)\right) \]
      8. sub-negN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 + \left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right)\right) - \frac{9}{2}\right)\right) \]
      9. +-commutativeN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + 3\right) - \frac{9}{2}\right)\right) \]
      10. associate--l+N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \color{blue}{\left(3 - \frac{9}{2}\right)}\right)\right) \]
      11. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \frac{-3}{2}\right)\right) \]
      12. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\frac{-9}{2} + \color{blue}{3}\right)\right)\right) \]
      13. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\left(\mathsf{neg}\left(\frac{9}{2}\right)\right) + 3\right)\right)\right) \]
    3. Simplified96.6%

      \[\leadsto \color{blue}{\frac{2}{r \cdot r} + \left(\left(0.375 + v \cdot -0.25\right) \cdot \frac{r \cdot \left(w \cdot \left(r \cdot w\right)\right)}{v + -1} + -1.5\right)} \]
    4. Add Preprocessing
    5. Taylor expanded in v around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\color{blue}{\left(\frac{-3}{8} \cdot \left({r}^{2} \cdot {w}^{2}\right)\right)}, \frac{-3}{2}\right)\right) \]
    6. Step-by-step derivation
      1. *-commutativeN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\left(\left({r}^{2} \cdot {w}^{2}\right) \cdot \frac{-3}{8}\right), \frac{-3}{2}\right)\right) \]
      2. associate-*l*N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\left({r}^{2} \cdot \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      3. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left({r}^{2}\right), \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      4. unpow2N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(r \cdot r\right), \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      5. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      6. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\left({w}^{2}\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      7. unpow2N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\left(w \cdot w\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      8. *-lowering-*.f6488.4%

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
    7. Simplified88.4%

      \[\leadsto \frac{2}{r \cdot r} + \left(\color{blue}{\left(r \cdot r\right) \cdot \left(\left(w \cdot w\right) \cdot -0.375\right)} + -1.5\right) \]

    if 3.8e151 < r

    1. Initial program 85.7%

      \[\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5 \]
    2. Step-by-step derivation
      1. associate--l-N/A

        \[\leadsto \left(3 + \frac{2}{r \cdot r}\right) - \color{blue}{\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)} \]
      2. +-commutativeN/A

        \[\leadsto \left(\frac{2}{r \cdot r} + 3\right) - \left(\color{blue}{\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}} + \frac{9}{2}\right) \]
      3. associate--l+N/A

        \[\leadsto \frac{2}{r \cdot r} + \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)} \]
      4. +-lowering-+.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\left(\frac{2}{r \cdot r}\right), \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)}\right) \]
      5. /-lowering-/.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \left(r \cdot r\right)\right), \left(\color{blue}{3} - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
      6. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
      7. associate--r+N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 - \frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - \color{blue}{\frac{9}{2}}\right)\right) \]
      8. sub-negN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 + \left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right)\right) - \frac{9}{2}\right)\right) \]
      9. +-commutativeN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + 3\right) - \frac{9}{2}\right)\right) \]
      10. associate--l+N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \color{blue}{\left(3 - \frac{9}{2}\right)}\right)\right) \]
      11. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \frac{-3}{2}\right)\right) \]
      12. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\frac{-9}{2} + \color{blue}{3}\right)\right)\right) \]
      13. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\left(\mathsf{neg}\left(\frac{9}{2}\right)\right) + 3\right)\right)\right) \]
    3. Simplified99.9%

      \[\leadsto \color{blue}{\frac{2}{r \cdot r} + \left(\left(0.375 + v \cdot -0.25\right) \cdot \frac{r \cdot \left(w \cdot \left(r \cdot w\right)\right)}{v + -1} + -1.5\right)} \]
    4. Add Preprocessing
    5. Taylor expanded in v around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\color{blue}{\left(\frac{-3}{8} \cdot \left({r}^{2} \cdot {w}^{2}\right)\right)}, \frac{-3}{2}\right)\right) \]
    6. Step-by-step derivation
      1. *-commutativeN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\left(\left({r}^{2} \cdot {w}^{2}\right) \cdot \frac{-3}{8}\right), \frac{-3}{2}\right)\right) \]
      2. associate-*l*N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\left({r}^{2} \cdot \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      3. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left({r}^{2}\right), \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      4. unpow2N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(r \cdot r\right), \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      5. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      6. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\left({w}^{2}\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      7. unpow2N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\left(w \cdot w\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      8. *-lowering-*.f6465.7%

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
    7. Simplified65.7%

      \[\leadsto \frac{2}{r \cdot r} + \left(\color{blue}{\left(r \cdot r\right) \cdot \left(\left(w \cdot w\right) \cdot -0.375\right)} + -1.5\right) \]
    8. Taylor expanded in r around inf

      \[\leadsto \color{blue}{\frac{-3}{8} \cdot \left({r}^{2} \cdot {w}^{2}\right)} \]
    9. Step-by-step derivation
      1. *-commutativeN/A

        \[\leadsto \left({r}^{2} \cdot {w}^{2}\right) \cdot \color{blue}{\frac{-3}{8}} \]
      2. associate-*l*N/A

        \[\leadsto {r}^{2} \cdot \color{blue}{\left({w}^{2} \cdot \frac{-3}{8}\right)} \]
      3. *-commutativeN/A

        \[\leadsto {r}^{2} \cdot \left(\frac{-3}{8} \cdot \color{blue}{{w}^{2}}\right) \]
      4. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\left({r}^{2}\right), \color{blue}{\left(\frac{-3}{8} \cdot {w}^{2}\right)}\right) \]
      5. unpow2N/A

        \[\leadsto \mathsf{*.f64}\left(\left(r \cdot r\right), \left(\color{blue}{\frac{-3}{8}} \cdot {w}^{2}\right)\right) \]
      6. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \left(\color{blue}{\frac{-3}{8}} \cdot {w}^{2}\right)\right) \]
      7. *-commutativeN/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \left({w}^{2} \cdot \color{blue}{\frac{-3}{8}}\right)\right) \]
      8. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\left({w}^{2}\right), \color{blue}{\frac{-3}{8}}\right)\right) \]
      9. unpow2N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\left(w \cdot w\right), \frac{-3}{8}\right)\right) \]
      10. *-lowering-*.f6465.7%

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \frac{-3}{8}\right)\right) \]
    10. Simplified65.7%

      \[\leadsto \color{blue}{\left(r \cdot r\right) \cdot \left(\left(w \cdot w\right) \cdot -0.375\right)} \]
    11. Step-by-step derivation
      1. associate-*r*N/A

        \[\leadsto \left(\left(r \cdot r\right) \cdot \left(w \cdot w\right)\right) \cdot \color{blue}{\frac{-3}{8}} \]
      2. swap-sqrN/A

        \[\leadsto \left(\left(r \cdot w\right) \cdot \left(r \cdot w\right)\right) \cdot \frac{-3}{8} \]
      3. associate-*r*N/A

        \[\leadsto \left(r \cdot w\right) \cdot \color{blue}{\left(\left(r \cdot w\right) \cdot \frac{-3}{8}\right)} \]
      4. *-commutativeN/A

        \[\leadsto \left(\left(r \cdot w\right) \cdot \frac{-3}{8}\right) \cdot \color{blue}{\left(r \cdot w\right)} \]
      5. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\left(\left(r \cdot w\right) \cdot \frac{-3}{8}\right), \color{blue}{\left(r \cdot w\right)}\right) \]
      6. associate-*l*N/A

        \[\leadsto \mathsf{*.f64}\left(\left(r \cdot \left(w \cdot \frac{-3}{8}\right)\right), \left(\color{blue}{r} \cdot w\right)\right) \]
      7. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, \left(w \cdot \frac{-3}{8}\right)\right), \left(\color{blue}{r} \cdot w\right)\right) \]
      8. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, \mathsf{*.f64}\left(w, \frac{-3}{8}\right)\right), \left(r \cdot w\right)\right) \]
      9. *-lowering-*.f6479.7%

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, \mathsf{*.f64}\left(w, \frac{-3}{8}\right)\right), \mathsf{*.f64}\left(r, \color{blue}{w}\right)\right) \]
    12. Applied egg-rr79.7%

      \[\leadsto \color{blue}{\left(r \cdot \left(w \cdot -0.375\right)\right) \cdot \left(r \cdot w\right)} \]
  3. Recombined 3 regimes into one program.
  4. Final simplification70.2%

    \[\leadsto \begin{array}{l} \mathbf{if}\;r \leq 2.8 \cdot 10^{-116}:\\ \;\;\;\;\frac{2}{r \cdot r}\\ \mathbf{elif}\;r \leq 3.8 \cdot 10^{+151}:\\ \;\;\;\;\frac{2}{r \cdot r} + \left(-1.5 + \left(r \cdot r\right) \cdot \left(-0.375 \cdot \left(w \cdot w\right)\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\left(r \cdot w\right) \cdot \left(r \cdot \left(w \cdot -0.375\right)\right)\\ \end{array} \]
  5. Add Preprocessing

Alternative 4: 69.0% accurate, 1.2× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;r \leq 5.7 \cdot 10^{-5}:\\ \;\;\;\;\frac{2 + \left(r \cdot r\right) \cdot 3}{r \cdot r} - 4.5\\ \mathbf{elif}\;r \leq 3.8 \cdot 10^{+151}:\\ \;\;\;\;\left(r \cdot r\right) \cdot \left(-0.375 \cdot \left(w \cdot w\right) + \frac{-1.5}{r \cdot r}\right)\\ \mathbf{else}:\\ \;\;\;\;\left(r \cdot w\right) \cdot \left(r \cdot \left(w \cdot -0.375\right)\right)\\ \end{array} \end{array} \]
(FPCore (v w r)
 :precision binary64
 (if (<= r 5.7e-5)
   (- (/ (+ 2.0 (* (* r r) 3.0)) (* r r)) 4.5)
   (if (<= r 3.8e+151)
     (* (* r r) (+ (* -0.375 (* w w)) (/ -1.5 (* r r))))
     (* (* r w) (* r (* w -0.375))))))
double code(double v, double w, double r) {
	double tmp;
	if (r <= 5.7e-5) {
		tmp = ((2.0 + ((r * r) * 3.0)) / (r * r)) - 4.5;
	} else if (r <= 3.8e+151) {
		tmp = (r * r) * ((-0.375 * (w * w)) + (-1.5 / (r * r)));
	} else {
		tmp = (r * w) * (r * (w * -0.375));
	}
	return tmp;
}
real(8) function code(v, w, r)
    real(8), intent (in) :: v
    real(8), intent (in) :: w
    real(8), intent (in) :: r
    real(8) :: tmp
    if (r <= 5.7d-5) then
        tmp = ((2.0d0 + ((r * r) * 3.0d0)) / (r * r)) - 4.5d0
    else if (r <= 3.8d+151) then
        tmp = (r * r) * (((-0.375d0) * (w * w)) + ((-1.5d0) / (r * r)))
    else
        tmp = (r * w) * (r * (w * (-0.375d0)))
    end if
    code = tmp
end function
public static double code(double v, double w, double r) {
	double tmp;
	if (r <= 5.7e-5) {
		tmp = ((2.0 + ((r * r) * 3.0)) / (r * r)) - 4.5;
	} else if (r <= 3.8e+151) {
		tmp = (r * r) * ((-0.375 * (w * w)) + (-1.5 / (r * r)));
	} else {
		tmp = (r * w) * (r * (w * -0.375));
	}
	return tmp;
}
def code(v, w, r):
	tmp = 0
	if r <= 5.7e-5:
		tmp = ((2.0 + ((r * r) * 3.0)) / (r * r)) - 4.5
	elif r <= 3.8e+151:
		tmp = (r * r) * ((-0.375 * (w * w)) + (-1.5 / (r * r)))
	else:
		tmp = (r * w) * (r * (w * -0.375))
	return tmp
function code(v, w, r)
	tmp = 0.0
	if (r <= 5.7e-5)
		tmp = Float64(Float64(Float64(2.0 + Float64(Float64(r * r) * 3.0)) / Float64(r * r)) - 4.5);
	elseif (r <= 3.8e+151)
		tmp = Float64(Float64(r * r) * Float64(Float64(-0.375 * Float64(w * w)) + Float64(-1.5 / Float64(r * r))));
	else
		tmp = Float64(Float64(r * w) * Float64(r * Float64(w * -0.375)));
	end
	return tmp
end
function tmp_2 = code(v, w, r)
	tmp = 0.0;
	if (r <= 5.7e-5)
		tmp = ((2.0 + ((r * r) * 3.0)) / (r * r)) - 4.5;
	elseif (r <= 3.8e+151)
		tmp = (r * r) * ((-0.375 * (w * w)) + (-1.5 / (r * r)));
	else
		tmp = (r * w) * (r * (w * -0.375));
	end
	tmp_2 = tmp;
end
code[v_, w_, r_] := If[LessEqual[r, 5.7e-5], N[(N[(N[(2.0 + N[(N[(r * r), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision] / N[(r * r), $MachinePrecision]), $MachinePrecision] - 4.5), $MachinePrecision], If[LessEqual[r, 3.8e+151], N[(N[(r * r), $MachinePrecision] * N[(N[(-0.375 * N[(w * w), $MachinePrecision]), $MachinePrecision] + N[(-1.5 / N[(r * r), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(r * w), $MachinePrecision] * N[(r * N[(w * -0.375), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;r \leq 5.7 \cdot 10^{-5}:\\
\;\;\;\;\frac{2 + \left(r \cdot r\right) \cdot 3}{r \cdot r} - 4.5\\

\mathbf{elif}\;r \leq 3.8 \cdot 10^{+151}:\\
\;\;\;\;\left(r \cdot r\right) \cdot \left(-0.375 \cdot \left(w \cdot w\right) + \frac{-1.5}{r \cdot r}\right)\\

\mathbf{else}:\\
\;\;\;\;\left(r \cdot w\right) \cdot \left(r \cdot \left(w \cdot -0.375\right)\right)\\


\end{array}
\end{array}
Derivation
  1. Split input into 3 regimes
  2. if r < 5.7000000000000003e-5

    1. Initial program 85.0%

      \[\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5 \]
    2. Add Preprocessing
    3. Taylor expanded in r around 0

      \[\leadsto \mathsf{\_.f64}\left(\color{blue}{\left(\frac{2 + 3 \cdot {r}^{2}}{{r}^{2}}\right)}, \frac{9}{2}\right) \]
    4. Step-by-step derivation
      1. /-lowering-/.f64N/A

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\left(2 + 3 \cdot {r}^{2}\right), \left({r}^{2}\right)\right), \frac{9}{2}\right) \]
      2. +-lowering-+.f64N/A

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{+.f64}\left(2, \left(3 \cdot {r}^{2}\right)\right), \left({r}^{2}\right)\right), \frac{9}{2}\right) \]
      3. *-commutativeN/A

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{+.f64}\left(2, \left({r}^{2} \cdot 3\right)\right), \left({r}^{2}\right)\right), \frac{9}{2}\right) \]
      4. *-lowering-*.f64N/A

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\left({r}^{2}\right), 3\right)\right), \left({r}^{2}\right)\right), \frac{9}{2}\right) \]
      5. unpow2N/A

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\left(r \cdot r\right), 3\right)\right), \left({r}^{2}\right)\right), \frac{9}{2}\right) \]
      6. *-lowering-*.f64N/A

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), 3\right)\right), \left({r}^{2}\right)\right), \frac{9}{2}\right) \]
      7. unpow2N/A

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), 3\right)\right), \left(r \cdot r\right)\right), \frac{9}{2}\right) \]
      8. *-lowering-*.f6468.7%

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), 3\right)\right), \mathsf{*.f64}\left(r, r\right)\right), \frac{9}{2}\right) \]
    5. Simplified68.7%

      \[\leadsto \color{blue}{\frac{2 + \left(r \cdot r\right) \cdot 3}{r \cdot r}} - 4.5 \]

    if 5.7000000000000003e-5 < r < 3.8e151

    1. Initial program 94.7%

      \[\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5 \]
    2. Step-by-step derivation
      1. associate--l-N/A

        \[\leadsto \left(3 + \frac{2}{r \cdot r}\right) - \color{blue}{\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)} \]
      2. +-commutativeN/A

        \[\leadsto \left(\frac{2}{r \cdot r} + 3\right) - \left(\color{blue}{\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}} + \frac{9}{2}\right) \]
      3. associate--l+N/A

        \[\leadsto \frac{2}{r \cdot r} + \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)} \]
      4. +-lowering-+.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\left(\frac{2}{r \cdot r}\right), \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)}\right) \]
      5. /-lowering-/.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \left(r \cdot r\right)\right), \left(\color{blue}{3} - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
      6. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
      7. associate--r+N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 - \frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - \color{blue}{\frac{9}{2}}\right)\right) \]
      8. sub-negN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 + \left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right)\right) - \frac{9}{2}\right)\right) \]
      9. +-commutativeN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + 3\right) - \frac{9}{2}\right)\right) \]
      10. associate--l+N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \color{blue}{\left(3 - \frac{9}{2}\right)}\right)\right) \]
      11. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \frac{-3}{2}\right)\right) \]
      12. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\frac{-9}{2} + \color{blue}{3}\right)\right)\right) \]
      13. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\left(\mathsf{neg}\left(\frac{9}{2}\right)\right) + 3\right)\right)\right) \]
    3. Simplified99.8%

      \[\leadsto \color{blue}{\frac{2}{r \cdot r} + \left(\left(0.375 + v \cdot -0.25\right) \cdot \frac{r \cdot \left(w \cdot \left(r \cdot w\right)\right)}{v + -1} + -1.5\right)} \]
    4. Add Preprocessing
    5. Taylor expanded in v around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\color{blue}{\left(\frac{-3}{8} \cdot \left({r}^{2} \cdot {w}^{2}\right)\right)}, \frac{-3}{2}\right)\right) \]
    6. Step-by-step derivation
      1. *-commutativeN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\left(\left({r}^{2} \cdot {w}^{2}\right) \cdot \frac{-3}{8}\right), \frac{-3}{2}\right)\right) \]
      2. associate-*l*N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\left({r}^{2} \cdot \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      3. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left({r}^{2}\right), \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      4. unpow2N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(r \cdot r\right), \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      5. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      6. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\left({w}^{2}\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      7. unpow2N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\left(w \cdot w\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      8. *-lowering-*.f6489.1%

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
    7. Simplified89.1%

      \[\leadsto \frac{2}{r \cdot r} + \left(\color{blue}{\left(r \cdot r\right) \cdot \left(\left(w \cdot w\right) \cdot -0.375\right)} + -1.5\right) \]
    8. Taylor expanded in r around inf

      \[\leadsto \color{blue}{{r}^{2} \cdot \left(\frac{-3}{8} \cdot {w}^{2} - \frac{3}{2} \cdot \frac{1}{{r}^{2}}\right)} \]
    9. Step-by-step derivation
      1. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\left({r}^{2}\right), \color{blue}{\left(\frac{-3}{8} \cdot {w}^{2} - \frac{3}{2} \cdot \frac{1}{{r}^{2}}\right)}\right) \]
      2. unpow2N/A

        \[\leadsto \mathsf{*.f64}\left(\left(r \cdot r\right), \left(\color{blue}{\frac{-3}{8} \cdot {w}^{2}} - \frac{3}{2} \cdot \frac{1}{{r}^{2}}\right)\right) \]
      3. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \left(\color{blue}{\frac{-3}{8} \cdot {w}^{2}} - \frac{3}{2} \cdot \frac{1}{{r}^{2}}\right)\right) \]
      4. sub-negN/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \left(\frac{-3}{8} \cdot {w}^{2} + \color{blue}{\left(\mathsf{neg}\left(\frac{3}{2} \cdot \frac{1}{{r}^{2}}\right)\right)}\right)\right) \]
      5. +-lowering-+.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{+.f64}\left(\left(\frac{-3}{8} \cdot {w}^{2}\right), \color{blue}{\left(\mathsf{neg}\left(\frac{3}{2} \cdot \frac{1}{{r}^{2}}\right)\right)}\right)\right) \]
      6. *-commutativeN/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{+.f64}\left(\left({w}^{2} \cdot \frac{-3}{8}\right), \left(\mathsf{neg}\left(\color{blue}{\frac{3}{2} \cdot \frac{1}{{r}^{2}}}\right)\right)\right)\right) \]
      7. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left({w}^{2}\right), \frac{-3}{8}\right), \left(\mathsf{neg}\left(\color{blue}{\frac{3}{2} \cdot \frac{1}{{r}^{2}}}\right)\right)\right)\right) \]
      8. unpow2N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(w \cdot w\right), \frac{-3}{8}\right), \left(\mathsf{neg}\left(\color{blue}{\frac{3}{2}} \cdot \frac{1}{{r}^{2}}\right)\right)\right)\right) \]
      9. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \frac{-3}{8}\right), \left(\mathsf{neg}\left(\color{blue}{\frac{3}{2}} \cdot \frac{1}{{r}^{2}}\right)\right)\right)\right) \]
      10. associate-*r/N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \frac{-3}{8}\right), \left(\mathsf{neg}\left(\frac{\frac{3}{2} \cdot 1}{{r}^{2}}\right)\right)\right)\right) \]
      11. metadata-evalN/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \frac{-3}{8}\right), \left(\mathsf{neg}\left(\frac{\frac{3}{2}}{{r}^{2}}\right)\right)\right)\right) \]
      12. distribute-neg-fracN/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \frac{-3}{8}\right), \left(\frac{\mathsf{neg}\left(\frac{3}{2}\right)}{\color{blue}{{r}^{2}}}\right)\right)\right) \]
      13. metadata-evalN/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \frac{-3}{8}\right), \left(\frac{\frac{-3}{2}}{{\color{blue}{r}}^{2}}\right)\right)\right) \]
      14. /-lowering-/.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \frac{-3}{8}\right), \mathsf{/.f64}\left(\frac{-3}{2}, \color{blue}{\left({r}^{2}\right)}\right)\right)\right) \]
      15. unpow2N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \frac{-3}{8}\right), \mathsf{/.f64}\left(\frac{-3}{2}, \left(r \cdot \color{blue}{r}\right)\right)\right)\right) \]
      16. *-lowering-*.f6489.0%

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \frac{-3}{8}\right), \mathsf{/.f64}\left(\frac{-3}{2}, \mathsf{*.f64}\left(r, \color{blue}{r}\right)\right)\right)\right) \]
    10. Simplified89.0%

      \[\leadsto \color{blue}{\left(r \cdot r\right) \cdot \left(\left(w \cdot w\right) \cdot -0.375 + \frac{-1.5}{r \cdot r}\right)} \]

    if 3.8e151 < r

    1. Initial program 85.7%

      \[\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5 \]
    2. Step-by-step derivation
      1. associate--l-N/A

        \[\leadsto \left(3 + \frac{2}{r \cdot r}\right) - \color{blue}{\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)} \]
      2. +-commutativeN/A

        \[\leadsto \left(\frac{2}{r \cdot r} + 3\right) - \left(\color{blue}{\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}} + \frac{9}{2}\right) \]
      3. associate--l+N/A

        \[\leadsto \frac{2}{r \cdot r} + \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)} \]
      4. +-lowering-+.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\left(\frac{2}{r \cdot r}\right), \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)}\right) \]
      5. /-lowering-/.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \left(r \cdot r\right)\right), \left(\color{blue}{3} - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
      6. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
      7. associate--r+N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 - \frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - \color{blue}{\frac{9}{2}}\right)\right) \]
      8. sub-negN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 + \left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right)\right) - \frac{9}{2}\right)\right) \]
      9. +-commutativeN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + 3\right) - \frac{9}{2}\right)\right) \]
      10. associate--l+N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \color{blue}{\left(3 - \frac{9}{2}\right)}\right)\right) \]
      11. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \frac{-3}{2}\right)\right) \]
      12. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\frac{-9}{2} + \color{blue}{3}\right)\right)\right) \]
      13. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\left(\mathsf{neg}\left(\frac{9}{2}\right)\right) + 3\right)\right)\right) \]
    3. Simplified99.9%

      \[\leadsto \color{blue}{\frac{2}{r \cdot r} + \left(\left(0.375 + v \cdot -0.25\right) \cdot \frac{r \cdot \left(w \cdot \left(r \cdot w\right)\right)}{v + -1} + -1.5\right)} \]
    4. Add Preprocessing
    5. Taylor expanded in v around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\color{blue}{\left(\frac{-3}{8} \cdot \left({r}^{2} \cdot {w}^{2}\right)\right)}, \frac{-3}{2}\right)\right) \]
    6. Step-by-step derivation
      1. *-commutativeN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\left(\left({r}^{2} \cdot {w}^{2}\right) \cdot \frac{-3}{8}\right), \frac{-3}{2}\right)\right) \]
      2. associate-*l*N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\left({r}^{2} \cdot \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      3. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left({r}^{2}\right), \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      4. unpow2N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(r \cdot r\right), \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      5. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      6. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\left({w}^{2}\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      7. unpow2N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\left(w \cdot w\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      8. *-lowering-*.f6465.7%

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
    7. Simplified65.7%

      \[\leadsto \frac{2}{r \cdot r} + \left(\color{blue}{\left(r \cdot r\right) \cdot \left(\left(w \cdot w\right) \cdot -0.375\right)} + -1.5\right) \]
    8. Taylor expanded in r around inf

      \[\leadsto \color{blue}{\frac{-3}{8} \cdot \left({r}^{2} \cdot {w}^{2}\right)} \]
    9. Step-by-step derivation
      1. *-commutativeN/A

        \[\leadsto \left({r}^{2} \cdot {w}^{2}\right) \cdot \color{blue}{\frac{-3}{8}} \]
      2. associate-*l*N/A

        \[\leadsto {r}^{2} \cdot \color{blue}{\left({w}^{2} \cdot \frac{-3}{8}\right)} \]
      3. *-commutativeN/A

        \[\leadsto {r}^{2} \cdot \left(\frac{-3}{8} \cdot \color{blue}{{w}^{2}}\right) \]
      4. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\left({r}^{2}\right), \color{blue}{\left(\frac{-3}{8} \cdot {w}^{2}\right)}\right) \]
      5. unpow2N/A

        \[\leadsto \mathsf{*.f64}\left(\left(r \cdot r\right), \left(\color{blue}{\frac{-3}{8}} \cdot {w}^{2}\right)\right) \]
      6. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \left(\color{blue}{\frac{-3}{8}} \cdot {w}^{2}\right)\right) \]
      7. *-commutativeN/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \left({w}^{2} \cdot \color{blue}{\frac{-3}{8}}\right)\right) \]
      8. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\left({w}^{2}\right), \color{blue}{\frac{-3}{8}}\right)\right) \]
      9. unpow2N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\left(w \cdot w\right), \frac{-3}{8}\right)\right) \]
      10. *-lowering-*.f6465.7%

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \frac{-3}{8}\right)\right) \]
    10. Simplified65.7%

      \[\leadsto \color{blue}{\left(r \cdot r\right) \cdot \left(\left(w \cdot w\right) \cdot -0.375\right)} \]
    11. Step-by-step derivation
      1. associate-*r*N/A

        \[\leadsto \left(\left(r \cdot r\right) \cdot \left(w \cdot w\right)\right) \cdot \color{blue}{\frac{-3}{8}} \]
      2. swap-sqrN/A

        \[\leadsto \left(\left(r \cdot w\right) \cdot \left(r \cdot w\right)\right) \cdot \frac{-3}{8} \]
      3. associate-*r*N/A

        \[\leadsto \left(r \cdot w\right) \cdot \color{blue}{\left(\left(r \cdot w\right) \cdot \frac{-3}{8}\right)} \]
      4. *-commutativeN/A

        \[\leadsto \left(\left(r \cdot w\right) \cdot \frac{-3}{8}\right) \cdot \color{blue}{\left(r \cdot w\right)} \]
      5. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\left(\left(r \cdot w\right) \cdot \frac{-3}{8}\right), \color{blue}{\left(r \cdot w\right)}\right) \]
      6. associate-*l*N/A

        \[\leadsto \mathsf{*.f64}\left(\left(r \cdot \left(w \cdot \frac{-3}{8}\right)\right), \left(\color{blue}{r} \cdot w\right)\right) \]
      7. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, \left(w \cdot \frac{-3}{8}\right)\right), \left(\color{blue}{r} \cdot w\right)\right) \]
      8. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, \mathsf{*.f64}\left(w, \frac{-3}{8}\right)\right), \left(r \cdot w\right)\right) \]
      9. *-lowering-*.f6479.7%

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, \mathsf{*.f64}\left(w, \frac{-3}{8}\right)\right), \mathsf{*.f64}\left(r, \color{blue}{w}\right)\right) \]
    12. Applied egg-rr79.7%

      \[\leadsto \color{blue}{\left(r \cdot \left(w \cdot -0.375\right)\right) \cdot \left(r \cdot w\right)} \]
  3. Recombined 3 regimes into one program.
  4. Final simplification72.7%

    \[\leadsto \begin{array}{l} \mathbf{if}\;r \leq 5.7 \cdot 10^{-5}:\\ \;\;\;\;\frac{2 + \left(r \cdot r\right) \cdot 3}{r \cdot r} - 4.5\\ \mathbf{elif}\;r \leq 3.8 \cdot 10^{+151}:\\ \;\;\;\;\left(r \cdot r\right) \cdot \left(-0.375 \cdot \left(w \cdot w\right) + \frac{-1.5}{r \cdot r}\right)\\ \mathbf{else}:\\ \;\;\;\;\left(r \cdot w\right) \cdot \left(r \cdot \left(w \cdot -0.375\right)\right)\\ \end{array} \]
  5. Add Preprocessing

Alternative 5: 69.0% accurate, 1.2× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;r \leq 5.7 \cdot 10^{-5}:\\ \;\;\;\;\frac{2 + \left(r \cdot r\right) \cdot 3}{r \cdot r} - 4.5\\ \mathbf{elif}\;r \leq 3.8 \cdot 10^{+151}:\\ \;\;\;\;r \cdot \left(r \cdot \left(-0.375 \cdot \left(w \cdot w\right) + \frac{-1.5}{r \cdot r}\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\left(r \cdot w\right) \cdot \left(r \cdot \left(w \cdot -0.375\right)\right)\\ \end{array} \end{array} \]
(FPCore (v w r)
 :precision binary64
 (if (<= r 5.7e-5)
   (- (/ (+ 2.0 (* (* r r) 3.0)) (* r r)) 4.5)
   (if (<= r 3.8e+151)
     (* r (* r (+ (* -0.375 (* w w)) (/ -1.5 (* r r)))))
     (* (* r w) (* r (* w -0.375))))))
double code(double v, double w, double r) {
	double tmp;
	if (r <= 5.7e-5) {
		tmp = ((2.0 + ((r * r) * 3.0)) / (r * r)) - 4.5;
	} else if (r <= 3.8e+151) {
		tmp = r * (r * ((-0.375 * (w * w)) + (-1.5 / (r * r))));
	} else {
		tmp = (r * w) * (r * (w * -0.375));
	}
	return tmp;
}
real(8) function code(v, w, r)
    real(8), intent (in) :: v
    real(8), intent (in) :: w
    real(8), intent (in) :: r
    real(8) :: tmp
    if (r <= 5.7d-5) then
        tmp = ((2.0d0 + ((r * r) * 3.0d0)) / (r * r)) - 4.5d0
    else if (r <= 3.8d+151) then
        tmp = r * (r * (((-0.375d0) * (w * w)) + ((-1.5d0) / (r * r))))
    else
        tmp = (r * w) * (r * (w * (-0.375d0)))
    end if
    code = tmp
end function
public static double code(double v, double w, double r) {
	double tmp;
	if (r <= 5.7e-5) {
		tmp = ((2.0 + ((r * r) * 3.0)) / (r * r)) - 4.5;
	} else if (r <= 3.8e+151) {
		tmp = r * (r * ((-0.375 * (w * w)) + (-1.5 / (r * r))));
	} else {
		tmp = (r * w) * (r * (w * -0.375));
	}
	return tmp;
}
def code(v, w, r):
	tmp = 0
	if r <= 5.7e-5:
		tmp = ((2.0 + ((r * r) * 3.0)) / (r * r)) - 4.5
	elif r <= 3.8e+151:
		tmp = r * (r * ((-0.375 * (w * w)) + (-1.5 / (r * r))))
	else:
		tmp = (r * w) * (r * (w * -0.375))
	return tmp
function code(v, w, r)
	tmp = 0.0
	if (r <= 5.7e-5)
		tmp = Float64(Float64(Float64(2.0 + Float64(Float64(r * r) * 3.0)) / Float64(r * r)) - 4.5);
	elseif (r <= 3.8e+151)
		tmp = Float64(r * Float64(r * Float64(Float64(-0.375 * Float64(w * w)) + Float64(-1.5 / Float64(r * r)))));
	else
		tmp = Float64(Float64(r * w) * Float64(r * Float64(w * -0.375)));
	end
	return tmp
end
function tmp_2 = code(v, w, r)
	tmp = 0.0;
	if (r <= 5.7e-5)
		tmp = ((2.0 + ((r * r) * 3.0)) / (r * r)) - 4.5;
	elseif (r <= 3.8e+151)
		tmp = r * (r * ((-0.375 * (w * w)) + (-1.5 / (r * r))));
	else
		tmp = (r * w) * (r * (w * -0.375));
	end
	tmp_2 = tmp;
end
code[v_, w_, r_] := If[LessEqual[r, 5.7e-5], N[(N[(N[(2.0 + N[(N[(r * r), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision] / N[(r * r), $MachinePrecision]), $MachinePrecision] - 4.5), $MachinePrecision], If[LessEqual[r, 3.8e+151], N[(r * N[(r * N[(N[(-0.375 * N[(w * w), $MachinePrecision]), $MachinePrecision] + N[(-1.5 / N[(r * r), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(r * w), $MachinePrecision] * N[(r * N[(w * -0.375), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;r \leq 5.7 \cdot 10^{-5}:\\
\;\;\;\;\frac{2 + \left(r \cdot r\right) \cdot 3}{r \cdot r} - 4.5\\

\mathbf{elif}\;r \leq 3.8 \cdot 10^{+151}:\\
\;\;\;\;r \cdot \left(r \cdot \left(-0.375 \cdot \left(w \cdot w\right) + \frac{-1.5}{r \cdot r}\right)\right)\\

\mathbf{else}:\\
\;\;\;\;\left(r \cdot w\right) \cdot \left(r \cdot \left(w \cdot -0.375\right)\right)\\


\end{array}
\end{array}
Derivation
  1. Split input into 3 regimes
  2. if r < 5.7000000000000003e-5

    1. Initial program 85.0%

      \[\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5 \]
    2. Add Preprocessing
    3. Taylor expanded in r around 0

      \[\leadsto \mathsf{\_.f64}\left(\color{blue}{\left(\frac{2 + 3 \cdot {r}^{2}}{{r}^{2}}\right)}, \frac{9}{2}\right) \]
    4. Step-by-step derivation
      1. /-lowering-/.f64N/A

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\left(2 + 3 \cdot {r}^{2}\right), \left({r}^{2}\right)\right), \frac{9}{2}\right) \]
      2. +-lowering-+.f64N/A

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{+.f64}\left(2, \left(3 \cdot {r}^{2}\right)\right), \left({r}^{2}\right)\right), \frac{9}{2}\right) \]
      3. *-commutativeN/A

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{+.f64}\left(2, \left({r}^{2} \cdot 3\right)\right), \left({r}^{2}\right)\right), \frac{9}{2}\right) \]
      4. *-lowering-*.f64N/A

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\left({r}^{2}\right), 3\right)\right), \left({r}^{2}\right)\right), \frac{9}{2}\right) \]
      5. unpow2N/A

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\left(r \cdot r\right), 3\right)\right), \left({r}^{2}\right)\right), \frac{9}{2}\right) \]
      6. *-lowering-*.f64N/A

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), 3\right)\right), \left({r}^{2}\right)\right), \frac{9}{2}\right) \]
      7. unpow2N/A

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), 3\right)\right), \left(r \cdot r\right)\right), \frac{9}{2}\right) \]
      8. *-lowering-*.f6468.7%

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), 3\right)\right), \mathsf{*.f64}\left(r, r\right)\right), \frac{9}{2}\right) \]
    5. Simplified68.7%

      \[\leadsto \color{blue}{\frac{2 + \left(r \cdot r\right) \cdot 3}{r \cdot r}} - 4.5 \]

    if 5.7000000000000003e-5 < r < 3.8e151

    1. Initial program 94.7%

      \[\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5 \]
    2. Step-by-step derivation
      1. associate--l-N/A

        \[\leadsto \left(3 + \frac{2}{r \cdot r}\right) - \color{blue}{\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)} \]
      2. +-commutativeN/A

        \[\leadsto \left(\frac{2}{r \cdot r} + 3\right) - \left(\color{blue}{\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}} + \frac{9}{2}\right) \]
      3. associate--l+N/A

        \[\leadsto \frac{2}{r \cdot r} + \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)} \]
      4. +-lowering-+.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\left(\frac{2}{r \cdot r}\right), \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)}\right) \]
      5. /-lowering-/.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \left(r \cdot r\right)\right), \left(\color{blue}{3} - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
      6. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
      7. associate--r+N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 - \frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - \color{blue}{\frac{9}{2}}\right)\right) \]
      8. sub-negN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 + \left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right)\right) - \frac{9}{2}\right)\right) \]
      9. +-commutativeN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + 3\right) - \frac{9}{2}\right)\right) \]
      10. associate--l+N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \color{blue}{\left(3 - \frac{9}{2}\right)}\right)\right) \]
      11. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \frac{-3}{2}\right)\right) \]
      12. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\frac{-9}{2} + \color{blue}{3}\right)\right)\right) \]
      13. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\left(\mathsf{neg}\left(\frac{9}{2}\right)\right) + 3\right)\right)\right) \]
    3. Simplified99.8%

      \[\leadsto \color{blue}{\frac{2}{r \cdot r} + \left(\left(0.375 + v \cdot -0.25\right) \cdot \frac{r \cdot \left(w \cdot \left(r \cdot w\right)\right)}{v + -1} + -1.5\right)} \]
    4. Add Preprocessing
    5. Taylor expanded in v around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\color{blue}{\left(\frac{-3}{8} \cdot \left({r}^{2} \cdot {w}^{2}\right)\right)}, \frac{-3}{2}\right)\right) \]
    6. Step-by-step derivation
      1. *-commutativeN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\left(\left({r}^{2} \cdot {w}^{2}\right) \cdot \frac{-3}{8}\right), \frac{-3}{2}\right)\right) \]
      2. associate-*l*N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\left({r}^{2} \cdot \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      3. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left({r}^{2}\right), \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      4. unpow2N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(r \cdot r\right), \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      5. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      6. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\left({w}^{2}\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      7. unpow2N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\left(w \cdot w\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      8. *-lowering-*.f6489.1%

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
    7. Simplified89.1%

      \[\leadsto \frac{2}{r \cdot r} + \left(\color{blue}{\left(r \cdot r\right) \cdot \left(\left(w \cdot w\right) \cdot -0.375\right)} + -1.5\right) \]
    8. Step-by-step derivation
      1. associate-*l*N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\left(r \cdot \left(r \cdot \left(\left(w \cdot w\right) \cdot \frac{-3}{8}\right)\right)\right), \frac{-3}{2}\right)\right) \]
      2. *-commutativeN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\left(\left(r \cdot \left(\left(w \cdot w\right) \cdot \frac{-3}{8}\right)\right) \cdot r\right), \frac{-3}{2}\right)\right) \]
      3. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(r \cdot \left(\left(w \cdot w\right) \cdot \frac{-3}{8}\right)\right), r\right), \frac{-3}{2}\right)\right) \]
      4. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, \left(\left(w \cdot w\right) \cdot \frac{-3}{8}\right)\right), r\right), \frac{-3}{2}\right)\right) \]
      5. associate-*l*N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, \left(w \cdot \left(w \cdot \frac{-3}{8}\right)\right)\right), r\right), \frac{-3}{2}\right)\right) \]
      6. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, \mathsf{*.f64}\left(w, \left(w \cdot \frac{-3}{8}\right)\right)\right), r\right), \frac{-3}{2}\right)\right) \]
      7. *-lowering-*.f6489.1%

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, \mathsf{*.f64}\left(w, \mathsf{*.f64}\left(w, \frac{-3}{8}\right)\right)\right), r\right), \frac{-3}{2}\right)\right) \]
    9. Applied egg-rr89.1%

      \[\leadsto \frac{2}{r \cdot r} + \left(\color{blue}{\left(r \cdot \left(w \cdot \left(w \cdot -0.375\right)\right)\right) \cdot r} + -1.5\right) \]
    10. Taylor expanded in r around inf

      \[\leadsto \color{blue}{{r}^{2} \cdot \left(\frac{-3}{8} \cdot {w}^{2} - \frac{3}{2} \cdot \frac{1}{{r}^{2}}\right)} \]
    11. Step-by-step derivation
      1. unpow2N/A

        \[\leadsto \left(r \cdot r\right) \cdot \left(\color{blue}{\frac{-3}{8} \cdot {w}^{2}} - \frac{3}{2} \cdot \frac{1}{{r}^{2}}\right) \]
      2. associate-*l*N/A

        \[\leadsto r \cdot \color{blue}{\left(r \cdot \left(\frac{-3}{8} \cdot {w}^{2} - \frac{3}{2} \cdot \frac{1}{{r}^{2}}\right)\right)} \]
      3. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(r, \color{blue}{\left(r \cdot \left(\frac{-3}{8} \cdot {w}^{2} - \frac{3}{2} \cdot \frac{1}{{r}^{2}}\right)\right)}\right) \]
      4. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(r, \mathsf{*.f64}\left(r, \color{blue}{\left(\frac{-3}{8} \cdot {w}^{2} - \frac{3}{2} \cdot \frac{1}{{r}^{2}}\right)}\right)\right) \]
      5. sub-negN/A

        \[\leadsto \mathsf{*.f64}\left(r, \mathsf{*.f64}\left(r, \left(\frac{-3}{8} \cdot {w}^{2} + \color{blue}{\left(\mathsf{neg}\left(\frac{3}{2} \cdot \frac{1}{{r}^{2}}\right)\right)}\right)\right)\right) \]
      6. +-lowering-+.f64N/A

        \[\leadsto \mathsf{*.f64}\left(r, \mathsf{*.f64}\left(r, \mathsf{+.f64}\left(\left(\frac{-3}{8} \cdot {w}^{2}\right), \color{blue}{\left(\mathsf{neg}\left(\frac{3}{2} \cdot \frac{1}{{r}^{2}}\right)\right)}\right)\right)\right) \]
      7. *-commutativeN/A

        \[\leadsto \mathsf{*.f64}\left(r, \mathsf{*.f64}\left(r, \mathsf{+.f64}\left(\left({w}^{2} \cdot \frac{-3}{8}\right), \left(\mathsf{neg}\left(\color{blue}{\frac{3}{2} \cdot \frac{1}{{r}^{2}}}\right)\right)\right)\right)\right) \]
      8. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(r, \mathsf{*.f64}\left(r, \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left({w}^{2}\right), \frac{-3}{8}\right), \left(\mathsf{neg}\left(\color{blue}{\frac{3}{2} \cdot \frac{1}{{r}^{2}}}\right)\right)\right)\right)\right) \]
      9. unpow2N/A

        \[\leadsto \mathsf{*.f64}\left(r, \mathsf{*.f64}\left(r, \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(w \cdot w\right), \frac{-3}{8}\right), \left(\mathsf{neg}\left(\color{blue}{\frac{3}{2}} \cdot \frac{1}{{r}^{2}}\right)\right)\right)\right)\right) \]
      10. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(r, \mathsf{*.f64}\left(r, \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \frac{-3}{8}\right), \left(\mathsf{neg}\left(\color{blue}{\frac{3}{2}} \cdot \frac{1}{{r}^{2}}\right)\right)\right)\right)\right) \]
      11. associate-*r/N/A

        \[\leadsto \mathsf{*.f64}\left(r, \mathsf{*.f64}\left(r, \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \frac{-3}{8}\right), \left(\mathsf{neg}\left(\frac{\frac{3}{2} \cdot 1}{{r}^{2}}\right)\right)\right)\right)\right) \]
      12. metadata-evalN/A

        \[\leadsto \mathsf{*.f64}\left(r, \mathsf{*.f64}\left(r, \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \frac{-3}{8}\right), \left(\mathsf{neg}\left(\frac{\frac{3}{2}}{{r}^{2}}\right)\right)\right)\right)\right) \]
      13. distribute-neg-fracN/A

        \[\leadsto \mathsf{*.f64}\left(r, \mathsf{*.f64}\left(r, \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \frac{-3}{8}\right), \left(\frac{\mathsf{neg}\left(\frac{3}{2}\right)}{\color{blue}{{r}^{2}}}\right)\right)\right)\right) \]
      14. metadata-evalN/A

        \[\leadsto \mathsf{*.f64}\left(r, \mathsf{*.f64}\left(r, \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \frac{-3}{8}\right), \left(\frac{\frac{-3}{2}}{{\color{blue}{r}}^{2}}\right)\right)\right)\right) \]
      15. /-lowering-/.f64N/A

        \[\leadsto \mathsf{*.f64}\left(r, \mathsf{*.f64}\left(r, \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \frac{-3}{8}\right), \mathsf{/.f64}\left(\frac{-3}{2}, \color{blue}{\left({r}^{2}\right)}\right)\right)\right)\right) \]
      16. unpow2N/A

        \[\leadsto \mathsf{*.f64}\left(r, \mathsf{*.f64}\left(r, \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \frac{-3}{8}\right), \mathsf{/.f64}\left(\frac{-3}{2}, \left(r \cdot \color{blue}{r}\right)\right)\right)\right)\right) \]
      17. *-lowering-*.f6488.8%

        \[\leadsto \mathsf{*.f64}\left(r, \mathsf{*.f64}\left(r, \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \frac{-3}{8}\right), \mathsf{/.f64}\left(\frac{-3}{2}, \mathsf{*.f64}\left(r, \color{blue}{r}\right)\right)\right)\right)\right) \]
    12. Simplified88.8%

      \[\leadsto \color{blue}{r \cdot \left(r \cdot \left(\left(w \cdot w\right) \cdot -0.375 + \frac{-1.5}{r \cdot r}\right)\right)} \]

    if 3.8e151 < r

    1. Initial program 85.7%

      \[\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5 \]
    2. Step-by-step derivation
      1. associate--l-N/A

        \[\leadsto \left(3 + \frac{2}{r \cdot r}\right) - \color{blue}{\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)} \]
      2. +-commutativeN/A

        \[\leadsto \left(\frac{2}{r \cdot r} + 3\right) - \left(\color{blue}{\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}} + \frac{9}{2}\right) \]
      3. associate--l+N/A

        \[\leadsto \frac{2}{r \cdot r} + \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)} \]
      4. +-lowering-+.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\left(\frac{2}{r \cdot r}\right), \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)}\right) \]
      5. /-lowering-/.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \left(r \cdot r\right)\right), \left(\color{blue}{3} - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
      6. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
      7. associate--r+N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 - \frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - \color{blue}{\frac{9}{2}}\right)\right) \]
      8. sub-negN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 + \left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right)\right) - \frac{9}{2}\right)\right) \]
      9. +-commutativeN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + 3\right) - \frac{9}{2}\right)\right) \]
      10. associate--l+N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \color{blue}{\left(3 - \frac{9}{2}\right)}\right)\right) \]
      11. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \frac{-3}{2}\right)\right) \]
      12. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\frac{-9}{2} + \color{blue}{3}\right)\right)\right) \]
      13. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\left(\mathsf{neg}\left(\frac{9}{2}\right)\right) + 3\right)\right)\right) \]
    3. Simplified99.9%

      \[\leadsto \color{blue}{\frac{2}{r \cdot r} + \left(\left(0.375 + v \cdot -0.25\right) \cdot \frac{r \cdot \left(w \cdot \left(r \cdot w\right)\right)}{v + -1} + -1.5\right)} \]
    4. Add Preprocessing
    5. Taylor expanded in v around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\color{blue}{\left(\frac{-3}{8} \cdot \left({r}^{2} \cdot {w}^{2}\right)\right)}, \frac{-3}{2}\right)\right) \]
    6. Step-by-step derivation
      1. *-commutativeN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\left(\left({r}^{2} \cdot {w}^{2}\right) \cdot \frac{-3}{8}\right), \frac{-3}{2}\right)\right) \]
      2. associate-*l*N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\left({r}^{2} \cdot \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      3. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left({r}^{2}\right), \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      4. unpow2N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(r \cdot r\right), \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      5. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      6. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\left({w}^{2}\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      7. unpow2N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\left(w \cdot w\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      8. *-lowering-*.f6465.7%

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
    7. Simplified65.7%

      \[\leadsto \frac{2}{r \cdot r} + \left(\color{blue}{\left(r \cdot r\right) \cdot \left(\left(w \cdot w\right) \cdot -0.375\right)} + -1.5\right) \]
    8. Taylor expanded in r around inf

      \[\leadsto \color{blue}{\frac{-3}{8} \cdot \left({r}^{2} \cdot {w}^{2}\right)} \]
    9. Step-by-step derivation
      1. *-commutativeN/A

        \[\leadsto \left({r}^{2} \cdot {w}^{2}\right) \cdot \color{blue}{\frac{-3}{8}} \]
      2. associate-*l*N/A

        \[\leadsto {r}^{2} \cdot \color{blue}{\left({w}^{2} \cdot \frac{-3}{8}\right)} \]
      3. *-commutativeN/A

        \[\leadsto {r}^{2} \cdot \left(\frac{-3}{8} \cdot \color{blue}{{w}^{2}}\right) \]
      4. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\left({r}^{2}\right), \color{blue}{\left(\frac{-3}{8} \cdot {w}^{2}\right)}\right) \]
      5. unpow2N/A

        \[\leadsto \mathsf{*.f64}\left(\left(r \cdot r\right), \left(\color{blue}{\frac{-3}{8}} \cdot {w}^{2}\right)\right) \]
      6. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \left(\color{blue}{\frac{-3}{8}} \cdot {w}^{2}\right)\right) \]
      7. *-commutativeN/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \left({w}^{2} \cdot \color{blue}{\frac{-3}{8}}\right)\right) \]
      8. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\left({w}^{2}\right), \color{blue}{\frac{-3}{8}}\right)\right) \]
      9. unpow2N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\left(w \cdot w\right), \frac{-3}{8}\right)\right) \]
      10. *-lowering-*.f6465.7%

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \frac{-3}{8}\right)\right) \]
    10. Simplified65.7%

      \[\leadsto \color{blue}{\left(r \cdot r\right) \cdot \left(\left(w \cdot w\right) \cdot -0.375\right)} \]
    11. Step-by-step derivation
      1. associate-*r*N/A

        \[\leadsto \left(\left(r \cdot r\right) \cdot \left(w \cdot w\right)\right) \cdot \color{blue}{\frac{-3}{8}} \]
      2. swap-sqrN/A

        \[\leadsto \left(\left(r \cdot w\right) \cdot \left(r \cdot w\right)\right) \cdot \frac{-3}{8} \]
      3. associate-*r*N/A

        \[\leadsto \left(r \cdot w\right) \cdot \color{blue}{\left(\left(r \cdot w\right) \cdot \frac{-3}{8}\right)} \]
      4. *-commutativeN/A

        \[\leadsto \left(\left(r \cdot w\right) \cdot \frac{-3}{8}\right) \cdot \color{blue}{\left(r \cdot w\right)} \]
      5. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\left(\left(r \cdot w\right) \cdot \frac{-3}{8}\right), \color{blue}{\left(r \cdot w\right)}\right) \]
      6. associate-*l*N/A

        \[\leadsto \mathsf{*.f64}\left(\left(r \cdot \left(w \cdot \frac{-3}{8}\right)\right), \left(\color{blue}{r} \cdot w\right)\right) \]
      7. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, \left(w \cdot \frac{-3}{8}\right)\right), \left(\color{blue}{r} \cdot w\right)\right) \]
      8. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, \mathsf{*.f64}\left(w, \frac{-3}{8}\right)\right), \left(r \cdot w\right)\right) \]
      9. *-lowering-*.f6479.7%

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, \mathsf{*.f64}\left(w, \frac{-3}{8}\right)\right), \mathsf{*.f64}\left(r, \color{blue}{w}\right)\right) \]
    12. Applied egg-rr79.7%

      \[\leadsto \color{blue}{\left(r \cdot \left(w \cdot -0.375\right)\right) \cdot \left(r \cdot w\right)} \]
  3. Recombined 3 regimes into one program.
  4. Final simplification72.7%

    \[\leadsto \begin{array}{l} \mathbf{if}\;r \leq 5.7 \cdot 10^{-5}:\\ \;\;\;\;\frac{2 + \left(r \cdot r\right) \cdot 3}{r \cdot r} - 4.5\\ \mathbf{elif}\;r \leq 3.8 \cdot 10^{+151}:\\ \;\;\;\;r \cdot \left(r \cdot \left(-0.375 \cdot \left(w \cdot w\right) + \frac{-1.5}{r \cdot r}\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\left(r \cdot w\right) \cdot \left(r \cdot \left(w \cdot -0.375\right)\right)\\ \end{array} \]
  5. Add Preprocessing

Alternative 6: 94.4% accurate, 1.3× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{2}{r \cdot r}\\ \mathbf{if}\;v \leq 2.7:\\ \;\;\;\;t\_0 + \left(-1.5 + \left(r \cdot w\right) \cdot \left(\left(r \cdot w\right) \cdot -0.375\right)\right)\\ \mathbf{else}:\\ \;\;\;\;t\_0 + \left(-1.5 - w \cdot \left(w \cdot \left(\left(r \cdot r\right) \cdot 0.25\right)\right)\right)\\ \end{array} \end{array} \]
(FPCore (v w r)
 :precision binary64
 (let* ((t_0 (/ 2.0 (* r r))))
   (if (<= v 2.7)
     (+ t_0 (+ -1.5 (* (* r w) (* (* r w) -0.375))))
     (+ t_0 (- -1.5 (* w (* w (* (* r r) 0.25))))))))
double code(double v, double w, double r) {
	double t_0 = 2.0 / (r * r);
	double tmp;
	if (v <= 2.7) {
		tmp = t_0 + (-1.5 + ((r * w) * ((r * w) * -0.375)));
	} else {
		tmp = t_0 + (-1.5 - (w * (w * ((r * r) * 0.25))));
	}
	return tmp;
}
real(8) function code(v, w, r)
    real(8), intent (in) :: v
    real(8), intent (in) :: w
    real(8), intent (in) :: r
    real(8) :: t_0
    real(8) :: tmp
    t_0 = 2.0d0 / (r * r)
    if (v <= 2.7d0) then
        tmp = t_0 + ((-1.5d0) + ((r * w) * ((r * w) * (-0.375d0))))
    else
        tmp = t_0 + ((-1.5d0) - (w * (w * ((r * r) * 0.25d0))))
    end if
    code = tmp
end function
public static double code(double v, double w, double r) {
	double t_0 = 2.0 / (r * r);
	double tmp;
	if (v <= 2.7) {
		tmp = t_0 + (-1.5 + ((r * w) * ((r * w) * -0.375)));
	} else {
		tmp = t_0 + (-1.5 - (w * (w * ((r * r) * 0.25))));
	}
	return tmp;
}
def code(v, w, r):
	t_0 = 2.0 / (r * r)
	tmp = 0
	if v <= 2.7:
		tmp = t_0 + (-1.5 + ((r * w) * ((r * w) * -0.375)))
	else:
		tmp = t_0 + (-1.5 - (w * (w * ((r * r) * 0.25))))
	return tmp
function code(v, w, r)
	t_0 = Float64(2.0 / Float64(r * r))
	tmp = 0.0
	if (v <= 2.7)
		tmp = Float64(t_0 + Float64(-1.5 + Float64(Float64(r * w) * Float64(Float64(r * w) * -0.375))));
	else
		tmp = Float64(t_0 + Float64(-1.5 - Float64(w * Float64(w * Float64(Float64(r * r) * 0.25)))));
	end
	return tmp
end
function tmp_2 = code(v, w, r)
	t_0 = 2.0 / (r * r);
	tmp = 0.0;
	if (v <= 2.7)
		tmp = t_0 + (-1.5 + ((r * w) * ((r * w) * -0.375)));
	else
		tmp = t_0 + (-1.5 - (w * (w * ((r * r) * 0.25))));
	end
	tmp_2 = tmp;
end
code[v_, w_, r_] := Block[{t$95$0 = N[(2.0 / N[(r * r), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[v, 2.7], N[(t$95$0 + N[(-1.5 + N[(N[(r * w), $MachinePrecision] * N[(N[(r * w), $MachinePrecision] * -0.375), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$0 + N[(-1.5 - N[(w * N[(w * N[(N[(r * r), $MachinePrecision] * 0.25), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \frac{2}{r \cdot r}\\
\mathbf{if}\;v \leq 2.7:\\
\;\;\;\;t\_0 + \left(-1.5 + \left(r \cdot w\right) \cdot \left(\left(r \cdot w\right) \cdot -0.375\right)\right)\\

\mathbf{else}:\\
\;\;\;\;t\_0 + \left(-1.5 - w \cdot \left(w \cdot \left(\left(r \cdot r\right) \cdot 0.25\right)\right)\right)\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if v < 2.7000000000000002

    1. Initial program 86.2%

      \[\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5 \]
    2. Step-by-step derivation
      1. associate--l-N/A

        \[\leadsto \left(3 + \frac{2}{r \cdot r}\right) - \color{blue}{\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)} \]
      2. +-commutativeN/A

        \[\leadsto \left(\frac{2}{r \cdot r} + 3\right) - \left(\color{blue}{\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}} + \frac{9}{2}\right) \]
      3. associate--l+N/A

        \[\leadsto \frac{2}{r \cdot r} + \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)} \]
      4. +-lowering-+.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\left(\frac{2}{r \cdot r}\right), \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)}\right) \]
      5. /-lowering-/.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \left(r \cdot r\right)\right), \left(\color{blue}{3} - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
      6. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
      7. associate--r+N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 - \frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - \color{blue}{\frac{9}{2}}\right)\right) \]
      8. sub-negN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 + \left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right)\right) - \frac{9}{2}\right)\right) \]
      9. +-commutativeN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + 3\right) - \frac{9}{2}\right)\right) \]
      10. associate--l+N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \color{blue}{\left(3 - \frac{9}{2}\right)}\right)\right) \]
      11. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \frac{-3}{2}\right)\right) \]
      12. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\frac{-9}{2} + \color{blue}{3}\right)\right)\right) \]
      13. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\left(\mathsf{neg}\left(\frac{9}{2}\right)\right) + 3\right)\right)\right) \]
    3. Simplified95.1%

      \[\leadsto \color{blue}{\frac{2}{r \cdot r} + \left(\left(0.375 + v \cdot -0.25\right) \cdot \frac{r \cdot \left(w \cdot \left(r \cdot w\right)\right)}{v + -1} + -1.5\right)} \]
    4. Add Preprocessing
    5. Taylor expanded in v around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\color{blue}{\left(\frac{-3}{8} \cdot \left({r}^{2} \cdot {w}^{2}\right)\right)}, \frac{-3}{2}\right)\right) \]
    6. Step-by-step derivation
      1. *-commutativeN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\left(\left({r}^{2} \cdot {w}^{2}\right) \cdot \frac{-3}{8}\right), \frac{-3}{2}\right)\right) \]
      2. associate-*l*N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\left({r}^{2} \cdot \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      3. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left({r}^{2}\right), \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      4. unpow2N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(r \cdot r\right), \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      5. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      6. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\left({w}^{2}\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      7. unpow2N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\left(w \cdot w\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      8. *-lowering-*.f6482.3%

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
    7. Simplified82.3%

      \[\leadsto \frac{2}{r \cdot r} + \left(\color{blue}{\left(r \cdot r\right) \cdot \left(\left(w \cdot w\right) \cdot -0.375\right)} + -1.5\right) \]
    8. Step-by-step derivation
      1. associate-*r*N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\left(\left(\left(r \cdot r\right) \cdot \left(w \cdot w\right)\right) \cdot \frac{-3}{8}\right), \frac{-3}{2}\right)\right) \]
      2. swap-sqrN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\left(\left(\left(r \cdot w\right) \cdot \left(r \cdot w\right)\right) \cdot \frac{-3}{8}\right), \frac{-3}{2}\right)\right) \]
      3. associate-*l*N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\left(\left(r \cdot w\right) \cdot \left(\left(r \cdot w\right) \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      4. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(r \cdot w\right), \left(\left(r \cdot w\right) \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      5. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, w\right), \left(\left(r \cdot w\right) \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      6. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, w\right), \mathsf{*.f64}\left(\left(r \cdot w\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      7. *-lowering-*.f6497.2%

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, w\right), \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, w\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
    9. Applied egg-rr97.2%

      \[\leadsto \frac{2}{r \cdot r} + \left(\color{blue}{\left(r \cdot w\right) \cdot \left(\left(r \cdot w\right) \cdot -0.375\right)} + -1.5\right) \]

    if 2.7000000000000002 < v

    1. Initial program 87.3%

      \[\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5 \]
    2. Step-by-step derivation
      1. associate--l-N/A

        \[\leadsto \left(3 + \frac{2}{r \cdot r}\right) - \color{blue}{\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)} \]
      2. +-commutativeN/A

        \[\leadsto \left(\frac{2}{r \cdot r} + 3\right) - \left(\color{blue}{\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}} + \frac{9}{2}\right) \]
      3. associate--l+N/A

        \[\leadsto \frac{2}{r \cdot r} + \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)} \]
      4. +-lowering-+.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\left(\frac{2}{r \cdot r}\right), \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)}\right) \]
      5. /-lowering-/.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \left(r \cdot r\right)\right), \left(\color{blue}{3} - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
      6. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
      7. associate--r+N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 - \frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - \color{blue}{\frac{9}{2}}\right)\right) \]
      8. sub-negN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 + \left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right)\right) - \frac{9}{2}\right)\right) \]
      9. +-commutativeN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + 3\right) - \frac{9}{2}\right)\right) \]
      10. associate--l+N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \color{blue}{\left(3 - \frac{9}{2}\right)}\right)\right) \]
      11. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \frac{-3}{2}\right)\right) \]
      12. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\frac{-9}{2} + \color{blue}{3}\right)\right)\right) \]
      13. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\left(\mathsf{neg}\left(\frac{9}{2}\right)\right) + 3\right)\right)\right) \]
    3. Simplified95.9%

      \[\leadsto \color{blue}{\frac{2}{r \cdot r} + \left(\left(0.375 + v \cdot -0.25\right) \cdot \frac{r \cdot \left(w \cdot \left(r \cdot w\right)\right)}{v + -1} + -1.5\right)} \]
    4. Add Preprocessing
    5. Taylor expanded in v around inf

      \[\leadsto \color{blue}{\left(\frac{-1}{4} \cdot \left({r}^{2} \cdot {w}^{2}\right) + 2 \cdot \frac{1}{{r}^{2}}\right) - \frac{3}{2}} \]
    6. Step-by-step derivation
      1. associate--l+N/A

        \[\leadsto \frac{-1}{4} \cdot \left({r}^{2} \cdot {w}^{2}\right) + \color{blue}{\left(2 \cdot \frac{1}{{r}^{2}} - \frac{3}{2}\right)} \]
      2. +-commutativeN/A

        \[\leadsto \left(2 \cdot \frac{1}{{r}^{2}} - \frac{3}{2}\right) + \color{blue}{\frac{-1}{4} \cdot \left({r}^{2} \cdot {w}^{2}\right)} \]
      3. metadata-evalN/A

        \[\leadsto \left(2 \cdot \frac{1}{{r}^{2}} - \frac{3}{2}\right) + \left(\mathsf{neg}\left(\frac{1}{4}\right)\right) \cdot \left(\color{blue}{{r}^{2}} \cdot {w}^{2}\right) \]
      4. cancel-sign-sub-invN/A

        \[\leadsto \left(2 \cdot \frac{1}{{r}^{2}} - \frac{3}{2}\right) - \color{blue}{\frac{1}{4} \cdot \left({r}^{2} \cdot {w}^{2}\right)} \]
      5. sub-negN/A

        \[\leadsto \left(2 \cdot \frac{1}{{r}^{2}} + \left(\mathsf{neg}\left(\frac{3}{2}\right)\right)\right) - \color{blue}{\frac{1}{4}} \cdot \left({r}^{2} \cdot {w}^{2}\right) \]
      6. metadata-evalN/A

        \[\leadsto \left(2 \cdot \frac{1}{{r}^{2}} + \frac{-3}{2}\right) - \frac{1}{4} \cdot \left({r}^{2} \cdot {w}^{2}\right) \]
      7. associate--l+N/A

        \[\leadsto 2 \cdot \frac{1}{{r}^{2}} + \color{blue}{\left(\frac{-3}{2} - \frac{1}{4} \cdot \left({r}^{2} \cdot {w}^{2}\right)\right)} \]
      8. +-lowering-+.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\left(2 \cdot \frac{1}{{r}^{2}}\right), \color{blue}{\left(\frac{-3}{2} - \frac{1}{4} \cdot \left({r}^{2} \cdot {w}^{2}\right)\right)}\right) \]
      9. associate-*r/N/A

        \[\leadsto \mathsf{+.f64}\left(\left(\frac{2 \cdot 1}{{r}^{2}}\right), \left(\color{blue}{\frac{-3}{2}} - \frac{1}{4} \cdot \left({r}^{2} \cdot {w}^{2}\right)\right)\right) \]
      10. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\left(\frac{2}{{r}^{2}}\right), \left(\frac{-3}{2} - \frac{1}{4} \cdot \left({r}^{2} \cdot {w}^{2}\right)\right)\right) \]
      11. /-lowering-/.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \left({r}^{2}\right)\right), \left(\color{blue}{\frac{-3}{2}} - \frac{1}{4} \cdot \left({r}^{2} \cdot {w}^{2}\right)\right)\right) \]
      12. unpow2N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \left(r \cdot r\right)\right), \left(\frac{-3}{2} - \frac{1}{4} \cdot \left({r}^{2} \cdot {w}^{2}\right)\right)\right) \]
      13. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\frac{-3}{2} - \frac{1}{4} \cdot \left({r}^{2} \cdot {w}^{2}\right)\right)\right) \]
      14. --lowering--.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{\_.f64}\left(\frac{-3}{2}, \color{blue}{\left(\frac{1}{4} \cdot \left({r}^{2} \cdot {w}^{2}\right)\right)}\right)\right) \]
      15. associate-*r*N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{\_.f64}\left(\frac{-3}{2}, \left(\left(\frac{1}{4} \cdot {r}^{2}\right) \cdot \color{blue}{{w}^{2}}\right)\right)\right) \]
      16. unpow2N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{\_.f64}\left(\frac{-3}{2}, \left(\left(\frac{1}{4} \cdot {r}^{2}\right) \cdot \left(w \cdot \color{blue}{w}\right)\right)\right)\right) \]
      17. associate-*r*N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{\_.f64}\left(\frac{-3}{2}, \left(\left(\left(\frac{1}{4} \cdot {r}^{2}\right) \cdot w\right) \cdot \color{blue}{w}\right)\right)\right) \]
      18. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{\_.f64}\left(\frac{-3}{2}, \mathsf{*.f64}\left(\left(\left(\frac{1}{4} \cdot {r}^{2}\right) \cdot w\right), \color{blue}{w}\right)\right)\right) \]
    7. Simplified97.2%

      \[\leadsto \color{blue}{\frac{2}{r \cdot r} + \left(-1.5 - \left(\left(\left(r \cdot r\right) \cdot 0.25\right) \cdot w\right) \cdot w\right)} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification97.2%

    \[\leadsto \begin{array}{l} \mathbf{if}\;v \leq 2.7:\\ \;\;\;\;\frac{2}{r \cdot r} + \left(-1.5 + \left(r \cdot w\right) \cdot \left(\left(r \cdot w\right) \cdot -0.375\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{2}{r \cdot r} + \left(-1.5 - w \cdot \left(w \cdot \left(\left(r \cdot r\right) \cdot 0.25\right)\right)\right)\\ \end{array} \]
  5. Add Preprocessing

Alternative 7: 64.6% accurate, 1.6× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;r \leq 5 \cdot 10^{-5}:\\ \;\;\;\;\frac{2 + \left(r \cdot r\right) \cdot 3}{r \cdot r} - 4.5\\ \mathbf{else}:\\ \;\;\;\;\left(r \cdot w\right) \cdot \left(r \cdot \left(w \cdot -0.375\right)\right)\\ \end{array} \end{array} \]
(FPCore (v w r)
 :precision binary64
 (if (<= r 5e-5)
   (- (/ (+ 2.0 (* (* r r) 3.0)) (* r r)) 4.5)
   (* (* r w) (* r (* w -0.375)))))
double code(double v, double w, double r) {
	double tmp;
	if (r <= 5e-5) {
		tmp = ((2.0 + ((r * r) * 3.0)) / (r * r)) - 4.5;
	} else {
		tmp = (r * w) * (r * (w * -0.375));
	}
	return tmp;
}
real(8) function code(v, w, r)
    real(8), intent (in) :: v
    real(8), intent (in) :: w
    real(8), intent (in) :: r
    real(8) :: tmp
    if (r <= 5d-5) then
        tmp = ((2.0d0 + ((r * r) * 3.0d0)) / (r * r)) - 4.5d0
    else
        tmp = (r * w) * (r * (w * (-0.375d0)))
    end if
    code = tmp
end function
public static double code(double v, double w, double r) {
	double tmp;
	if (r <= 5e-5) {
		tmp = ((2.0 + ((r * r) * 3.0)) / (r * r)) - 4.5;
	} else {
		tmp = (r * w) * (r * (w * -0.375));
	}
	return tmp;
}
def code(v, w, r):
	tmp = 0
	if r <= 5e-5:
		tmp = ((2.0 + ((r * r) * 3.0)) / (r * r)) - 4.5
	else:
		tmp = (r * w) * (r * (w * -0.375))
	return tmp
function code(v, w, r)
	tmp = 0.0
	if (r <= 5e-5)
		tmp = Float64(Float64(Float64(2.0 + Float64(Float64(r * r) * 3.0)) / Float64(r * r)) - 4.5);
	else
		tmp = Float64(Float64(r * w) * Float64(r * Float64(w * -0.375)));
	end
	return tmp
end
function tmp_2 = code(v, w, r)
	tmp = 0.0;
	if (r <= 5e-5)
		tmp = ((2.0 + ((r * r) * 3.0)) / (r * r)) - 4.5;
	else
		tmp = (r * w) * (r * (w * -0.375));
	end
	tmp_2 = tmp;
end
code[v_, w_, r_] := If[LessEqual[r, 5e-5], N[(N[(N[(2.0 + N[(N[(r * r), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision] / N[(r * r), $MachinePrecision]), $MachinePrecision] - 4.5), $MachinePrecision], N[(N[(r * w), $MachinePrecision] * N[(r * N[(w * -0.375), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;r \leq 5 \cdot 10^{-5}:\\
\;\;\;\;\frac{2 + \left(r \cdot r\right) \cdot 3}{r \cdot r} - 4.5\\

\mathbf{else}:\\
\;\;\;\;\left(r \cdot w\right) \cdot \left(r \cdot \left(w \cdot -0.375\right)\right)\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if r < 5.00000000000000024e-5

    1. Initial program 85.0%

      \[\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5 \]
    2. Add Preprocessing
    3. Taylor expanded in r around 0

      \[\leadsto \mathsf{\_.f64}\left(\color{blue}{\left(\frac{2 + 3 \cdot {r}^{2}}{{r}^{2}}\right)}, \frac{9}{2}\right) \]
    4. Step-by-step derivation
      1. /-lowering-/.f64N/A

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\left(2 + 3 \cdot {r}^{2}\right), \left({r}^{2}\right)\right), \frac{9}{2}\right) \]
      2. +-lowering-+.f64N/A

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{+.f64}\left(2, \left(3 \cdot {r}^{2}\right)\right), \left({r}^{2}\right)\right), \frac{9}{2}\right) \]
      3. *-commutativeN/A

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{+.f64}\left(2, \left({r}^{2} \cdot 3\right)\right), \left({r}^{2}\right)\right), \frac{9}{2}\right) \]
      4. *-lowering-*.f64N/A

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\left({r}^{2}\right), 3\right)\right), \left({r}^{2}\right)\right), \frac{9}{2}\right) \]
      5. unpow2N/A

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\left(r \cdot r\right), 3\right)\right), \left({r}^{2}\right)\right), \frac{9}{2}\right) \]
      6. *-lowering-*.f64N/A

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), 3\right)\right), \left({r}^{2}\right)\right), \frac{9}{2}\right) \]
      7. unpow2N/A

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), 3\right)\right), \left(r \cdot r\right)\right), \frac{9}{2}\right) \]
      8. *-lowering-*.f6468.7%

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{/.f64}\left(\mathsf{+.f64}\left(2, \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), 3\right)\right), \mathsf{*.f64}\left(r, r\right)\right), \frac{9}{2}\right) \]
    5. Simplified68.7%

      \[\leadsto \color{blue}{\frac{2 + \left(r \cdot r\right) \cdot 3}{r \cdot r}} - 4.5 \]

    if 5.00000000000000024e-5 < r

    1. Initial program 91.0%

      \[\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5 \]
    2. Step-by-step derivation
      1. associate--l-N/A

        \[\leadsto \left(3 + \frac{2}{r \cdot r}\right) - \color{blue}{\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)} \]
      2. +-commutativeN/A

        \[\leadsto \left(\frac{2}{r \cdot r} + 3\right) - \left(\color{blue}{\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}} + \frac{9}{2}\right) \]
      3. associate--l+N/A

        \[\leadsto \frac{2}{r \cdot r} + \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)} \]
      4. +-lowering-+.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\left(\frac{2}{r \cdot r}\right), \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)}\right) \]
      5. /-lowering-/.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \left(r \cdot r\right)\right), \left(\color{blue}{3} - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
      6. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
      7. associate--r+N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 - \frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - \color{blue}{\frac{9}{2}}\right)\right) \]
      8. sub-negN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 + \left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right)\right) - \frac{9}{2}\right)\right) \]
      9. +-commutativeN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + 3\right) - \frac{9}{2}\right)\right) \]
      10. associate--l+N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \color{blue}{\left(3 - \frac{9}{2}\right)}\right)\right) \]
      11. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \frac{-3}{2}\right)\right) \]
      12. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\frac{-9}{2} + \color{blue}{3}\right)\right)\right) \]
      13. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\left(\mathsf{neg}\left(\frac{9}{2}\right)\right) + 3\right)\right)\right) \]
    3. Simplified99.9%

      \[\leadsto \color{blue}{\frac{2}{r \cdot r} + \left(\left(0.375 + v \cdot -0.25\right) \cdot \frac{r \cdot \left(w \cdot \left(r \cdot w\right)\right)}{v + -1} + -1.5\right)} \]
    4. Add Preprocessing
    5. Taylor expanded in v around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\color{blue}{\left(\frac{-3}{8} \cdot \left({r}^{2} \cdot {w}^{2}\right)\right)}, \frac{-3}{2}\right)\right) \]
    6. Step-by-step derivation
      1. *-commutativeN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\left(\left({r}^{2} \cdot {w}^{2}\right) \cdot \frac{-3}{8}\right), \frac{-3}{2}\right)\right) \]
      2. associate-*l*N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\left({r}^{2} \cdot \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      3. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left({r}^{2}\right), \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      4. unpow2N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(r \cdot r\right), \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      5. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      6. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\left({w}^{2}\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      7. unpow2N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\left(w \cdot w\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      8. *-lowering-*.f6479.4%

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
    7. Simplified79.4%

      \[\leadsto \frac{2}{r \cdot r} + \left(\color{blue}{\left(r \cdot r\right) \cdot \left(\left(w \cdot w\right) \cdot -0.375\right)} + -1.5\right) \]
    8. Taylor expanded in r around inf

      \[\leadsto \color{blue}{\frac{-3}{8} \cdot \left({r}^{2} \cdot {w}^{2}\right)} \]
    9. Step-by-step derivation
      1. *-commutativeN/A

        \[\leadsto \left({r}^{2} \cdot {w}^{2}\right) \cdot \color{blue}{\frac{-3}{8}} \]
      2. associate-*l*N/A

        \[\leadsto {r}^{2} \cdot \color{blue}{\left({w}^{2} \cdot \frac{-3}{8}\right)} \]
      3. *-commutativeN/A

        \[\leadsto {r}^{2} \cdot \left(\frac{-3}{8} \cdot \color{blue}{{w}^{2}}\right) \]
      4. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\left({r}^{2}\right), \color{blue}{\left(\frac{-3}{8} \cdot {w}^{2}\right)}\right) \]
      5. unpow2N/A

        \[\leadsto \mathsf{*.f64}\left(\left(r \cdot r\right), \left(\color{blue}{\frac{-3}{8}} \cdot {w}^{2}\right)\right) \]
      6. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \left(\color{blue}{\frac{-3}{8}} \cdot {w}^{2}\right)\right) \]
      7. *-commutativeN/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \left({w}^{2} \cdot \color{blue}{\frac{-3}{8}}\right)\right) \]
      8. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\left({w}^{2}\right), \color{blue}{\frac{-3}{8}}\right)\right) \]
      9. unpow2N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\left(w \cdot w\right), \frac{-3}{8}\right)\right) \]
      10. *-lowering-*.f6453.9%

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \frac{-3}{8}\right)\right) \]
    10. Simplified53.9%

      \[\leadsto \color{blue}{\left(r \cdot r\right) \cdot \left(\left(w \cdot w\right) \cdot -0.375\right)} \]
    11. Step-by-step derivation
      1. associate-*r*N/A

        \[\leadsto \left(\left(r \cdot r\right) \cdot \left(w \cdot w\right)\right) \cdot \color{blue}{\frac{-3}{8}} \]
      2. swap-sqrN/A

        \[\leadsto \left(\left(r \cdot w\right) \cdot \left(r \cdot w\right)\right) \cdot \frac{-3}{8} \]
      3. associate-*r*N/A

        \[\leadsto \left(r \cdot w\right) \cdot \color{blue}{\left(\left(r \cdot w\right) \cdot \frac{-3}{8}\right)} \]
      4. *-commutativeN/A

        \[\leadsto \left(\left(r \cdot w\right) \cdot \frac{-3}{8}\right) \cdot \color{blue}{\left(r \cdot w\right)} \]
      5. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\left(\left(r \cdot w\right) \cdot \frac{-3}{8}\right), \color{blue}{\left(r \cdot w\right)}\right) \]
      6. associate-*l*N/A

        \[\leadsto \mathsf{*.f64}\left(\left(r \cdot \left(w \cdot \frac{-3}{8}\right)\right), \left(\color{blue}{r} \cdot w\right)\right) \]
      7. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, \left(w \cdot \frac{-3}{8}\right)\right), \left(\color{blue}{r} \cdot w\right)\right) \]
      8. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, \mathsf{*.f64}\left(w, \frac{-3}{8}\right)\right), \left(r \cdot w\right)\right) \]
      9. *-lowering-*.f6459.9%

        \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, \mathsf{*.f64}\left(w, \frac{-3}{8}\right)\right), \mathsf{*.f64}\left(r, \color{blue}{w}\right)\right) \]
    12. Applied egg-rr59.9%

      \[\leadsto \color{blue}{\left(r \cdot \left(w \cdot -0.375\right)\right) \cdot \left(r \cdot w\right)} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification66.5%

    \[\leadsto \begin{array}{l} \mathbf{if}\;r \leq 5 \cdot 10^{-5}:\\ \;\;\;\;\frac{2 + \left(r \cdot r\right) \cdot 3}{r \cdot r} - 4.5\\ \mathbf{else}:\\ \;\;\;\;\left(r \cdot w\right) \cdot \left(r \cdot \left(w \cdot -0.375\right)\right)\\ \end{array} \]
  5. Add Preprocessing

Alternative 8: 93.3% accurate, 1.7× speedup?

\[\begin{array}{l} \\ \frac{2}{r \cdot r} + \left(-1.5 + \left(r \cdot w\right) \cdot \left(\left(r \cdot w\right) \cdot -0.375\right)\right) \end{array} \]
(FPCore (v w r)
 :precision binary64
 (+ (/ 2.0 (* r r)) (+ -1.5 (* (* r w) (* (* r w) -0.375)))))
double code(double v, double w, double r) {
	return (2.0 / (r * r)) + (-1.5 + ((r * w) * ((r * w) * -0.375)));
}
real(8) function code(v, w, r)
    real(8), intent (in) :: v
    real(8), intent (in) :: w
    real(8), intent (in) :: r
    code = (2.0d0 / (r * r)) + ((-1.5d0) + ((r * w) * ((r * w) * (-0.375d0))))
end function
public static double code(double v, double w, double r) {
	return (2.0 / (r * r)) + (-1.5 + ((r * w) * ((r * w) * -0.375)));
}
def code(v, w, r):
	return (2.0 / (r * r)) + (-1.5 + ((r * w) * ((r * w) * -0.375)))
function code(v, w, r)
	return Float64(Float64(2.0 / Float64(r * r)) + Float64(-1.5 + Float64(Float64(r * w) * Float64(Float64(r * w) * -0.375))))
end
function tmp = code(v, w, r)
	tmp = (2.0 / (r * r)) + (-1.5 + ((r * w) * ((r * w) * -0.375)));
end
code[v_, w_, r_] := N[(N[(2.0 / N[(r * r), $MachinePrecision]), $MachinePrecision] + N[(-1.5 + N[(N[(r * w), $MachinePrecision] * N[(N[(r * w), $MachinePrecision] * -0.375), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\frac{2}{r \cdot r} + \left(-1.5 + \left(r \cdot w\right) \cdot \left(\left(r \cdot w\right) \cdot -0.375\right)\right)
\end{array}
Derivation
  1. Initial program 86.5%

    \[\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5 \]
  2. Step-by-step derivation
    1. associate--l-N/A

      \[\leadsto \left(3 + \frac{2}{r \cdot r}\right) - \color{blue}{\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)} \]
    2. +-commutativeN/A

      \[\leadsto \left(\frac{2}{r \cdot r} + 3\right) - \left(\color{blue}{\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}} + \frac{9}{2}\right) \]
    3. associate--l+N/A

      \[\leadsto \frac{2}{r \cdot r} + \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)} \]
    4. +-lowering-+.f64N/A

      \[\leadsto \mathsf{+.f64}\left(\left(\frac{2}{r \cdot r}\right), \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)}\right) \]
    5. /-lowering-/.f64N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \left(r \cdot r\right)\right), \left(\color{blue}{3} - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
    6. *-lowering-*.f64N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
    7. associate--r+N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 - \frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - \color{blue}{\frac{9}{2}}\right)\right) \]
    8. sub-negN/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 + \left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right)\right) - \frac{9}{2}\right)\right) \]
    9. +-commutativeN/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + 3\right) - \frac{9}{2}\right)\right) \]
    10. associate--l+N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \color{blue}{\left(3 - \frac{9}{2}\right)}\right)\right) \]
    11. metadata-evalN/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \frac{-3}{2}\right)\right) \]
    12. metadata-evalN/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\frac{-9}{2} + \color{blue}{3}\right)\right)\right) \]
    13. metadata-evalN/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\left(\mathsf{neg}\left(\frac{9}{2}\right)\right) + 3\right)\right)\right) \]
  3. Simplified95.3%

    \[\leadsto \color{blue}{\frac{2}{r \cdot r} + \left(\left(0.375 + v \cdot -0.25\right) \cdot \frac{r \cdot \left(w \cdot \left(r \cdot w\right)\right)}{v + -1} + -1.5\right)} \]
  4. Add Preprocessing
  5. Taylor expanded in v around 0

    \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\color{blue}{\left(\frac{-3}{8} \cdot \left({r}^{2} \cdot {w}^{2}\right)\right)}, \frac{-3}{2}\right)\right) \]
  6. Step-by-step derivation
    1. *-commutativeN/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\left(\left({r}^{2} \cdot {w}^{2}\right) \cdot \frac{-3}{8}\right), \frac{-3}{2}\right)\right) \]
    2. associate-*l*N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\left({r}^{2} \cdot \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
    3. *-lowering-*.f64N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left({r}^{2}\right), \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
    4. unpow2N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(r \cdot r\right), \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
    5. *-lowering-*.f64N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
    6. *-lowering-*.f64N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\left({w}^{2}\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
    7. unpow2N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\left(w \cdot w\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
    8. *-lowering-*.f6482.7%

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
  7. Simplified82.7%

    \[\leadsto \frac{2}{r \cdot r} + \left(\color{blue}{\left(r \cdot r\right) \cdot \left(\left(w \cdot w\right) \cdot -0.375\right)} + -1.5\right) \]
  8. Step-by-step derivation
    1. associate-*r*N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\left(\left(\left(r \cdot r\right) \cdot \left(w \cdot w\right)\right) \cdot \frac{-3}{8}\right), \frac{-3}{2}\right)\right) \]
    2. swap-sqrN/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\left(\left(\left(r \cdot w\right) \cdot \left(r \cdot w\right)\right) \cdot \frac{-3}{8}\right), \frac{-3}{2}\right)\right) \]
    3. associate-*l*N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\left(\left(r \cdot w\right) \cdot \left(\left(r \cdot w\right) \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
    4. *-lowering-*.f64N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(r \cdot w\right), \left(\left(r \cdot w\right) \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
    5. *-lowering-*.f64N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, w\right), \left(\left(r \cdot w\right) \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
    6. *-lowering-*.f64N/A

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, w\right), \mathsf{*.f64}\left(\left(r \cdot w\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
    7. *-lowering-*.f6495.5%

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, w\right), \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, w\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
  9. Applied egg-rr95.5%

    \[\leadsto \frac{2}{r \cdot r} + \left(\color{blue}{\left(r \cdot w\right) \cdot \left(\left(r \cdot w\right) \cdot -0.375\right)} + -1.5\right) \]
  10. Final simplification95.5%

    \[\leadsto \frac{2}{r \cdot r} + \left(-1.5 + \left(r \cdot w\right) \cdot \left(\left(r \cdot w\right) \cdot -0.375\right)\right) \]
  11. Add Preprocessing

Alternative 9: 66.5% accurate, 2.1× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;r \leq 5.3 \cdot 10^{-5}:\\ \;\;\;\;\frac{2}{r \cdot r} + -1.5\\ \mathbf{else}:\\ \;\;\;\;\left(r \cdot w\right) \cdot \left(r \cdot \left(w \cdot -0.375\right)\right)\\ \end{array} \end{array} \]
(FPCore (v w r)
 :precision binary64
 (if (<= r 5.3e-5) (+ (/ 2.0 (* r r)) -1.5) (* (* r w) (* r (* w -0.375)))))
double code(double v, double w, double r) {
	double tmp;
	if (r <= 5.3e-5) {
		tmp = (2.0 / (r * r)) + -1.5;
	} else {
		tmp = (r * w) * (r * (w * -0.375));
	}
	return tmp;
}
real(8) function code(v, w, r)
    real(8), intent (in) :: v
    real(8), intent (in) :: w
    real(8), intent (in) :: r
    real(8) :: tmp
    if (r <= 5.3d-5) then
        tmp = (2.0d0 / (r * r)) + (-1.5d0)
    else
        tmp = (r * w) * (r * (w * (-0.375d0)))
    end if
    code = tmp
end function
public static double code(double v, double w, double r) {
	double tmp;
	if (r <= 5.3e-5) {
		tmp = (2.0 / (r * r)) + -1.5;
	} else {
		tmp = (r * w) * (r * (w * -0.375));
	}
	return tmp;
}
def code(v, w, r):
	tmp = 0
	if r <= 5.3e-5:
		tmp = (2.0 / (r * r)) + -1.5
	else:
		tmp = (r * w) * (r * (w * -0.375))
	return tmp
function code(v, w, r)
	tmp = 0.0
	if (r <= 5.3e-5)
		tmp = Float64(Float64(2.0 / Float64(r * r)) + -1.5);
	else
		tmp = Float64(Float64(r * w) * Float64(r * Float64(w * -0.375)));
	end
	return tmp
end
function tmp_2 = code(v, w, r)
	tmp = 0.0;
	if (r <= 5.3e-5)
		tmp = (2.0 / (r * r)) + -1.5;
	else
		tmp = (r * w) * (r * (w * -0.375));
	end
	tmp_2 = tmp;
end
code[v_, w_, r_] := If[LessEqual[r, 5.3e-5], N[(N[(2.0 / N[(r * r), $MachinePrecision]), $MachinePrecision] + -1.5), $MachinePrecision], N[(N[(r * w), $MachinePrecision] * N[(r * N[(w * -0.375), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;r \leq 5.3 \cdot 10^{-5}:\\
\;\;\;\;\frac{2}{r \cdot r} + -1.5\\

\mathbf{else}:\\
\;\;\;\;\left(r \cdot w\right) \cdot \left(r \cdot \left(w \cdot -0.375\right)\right)\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if r < 5.3000000000000001e-5

    1. Initial program 85.0%

      \[\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5 \]
    2. Step-by-step derivation
      1. associate--l-N/A

        \[\leadsto \left(3 + \frac{2}{r \cdot r}\right) - \color{blue}{\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)} \]
      2. +-commutativeN/A

        \[\leadsto \left(\frac{2}{r \cdot r} + 3\right) - \left(\color{blue}{\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}} + \frac{9}{2}\right) \]
      3. associate--l+N/A

        \[\leadsto \frac{2}{r \cdot r} + \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)} \]
      4. +-lowering-+.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\left(\frac{2}{r \cdot r}\right), \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)}\right) \]
      5. /-lowering-/.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \left(r \cdot r\right)\right), \left(\color{blue}{3} - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
      6. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
      7. associate--r+N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 - \frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - \color{blue}{\frac{9}{2}}\right)\right) \]
      8. sub-negN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 + \left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right)\right) - \frac{9}{2}\right)\right) \]
      9. +-commutativeN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + 3\right) - \frac{9}{2}\right)\right) \]
      10. associate--l+N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \color{blue}{\left(3 - \frac{9}{2}\right)}\right)\right) \]
      11. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \frac{-3}{2}\right)\right) \]
      12. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\frac{-9}{2} + \color{blue}{3}\right)\right)\right) \]
      13. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\left(\mathsf{neg}\left(\frac{9}{2}\right)\right) + 3\right)\right)\right) \]
    3. Simplified93.8%

      \[\leadsto \color{blue}{\frac{2}{r \cdot r} + \left(\left(0.375 + v \cdot -0.25\right) \cdot \frac{r \cdot \left(w \cdot \left(r \cdot w\right)\right)}{v + -1} + -1.5\right)} \]
    4. Add Preprocessing
    5. Taylor expanded in r around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \color{blue}{\frac{-3}{2}}\right) \]
    6. Step-by-step derivation
      1. Simplified70.0%

        \[\leadsto \frac{2}{r \cdot r} + \color{blue}{-1.5} \]

      if 5.3000000000000001e-5 < r

      1. Initial program 91.0%

        \[\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5 \]
      2. Step-by-step derivation
        1. associate--l-N/A

          \[\leadsto \left(3 + \frac{2}{r \cdot r}\right) - \color{blue}{\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)} \]
        2. +-commutativeN/A

          \[\leadsto \left(\frac{2}{r \cdot r} + 3\right) - \left(\color{blue}{\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}} + \frac{9}{2}\right) \]
        3. associate--l+N/A

          \[\leadsto \frac{2}{r \cdot r} + \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)} \]
        4. +-lowering-+.f64N/A

          \[\leadsto \mathsf{+.f64}\left(\left(\frac{2}{r \cdot r}\right), \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)}\right) \]
        5. /-lowering-/.f64N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \left(r \cdot r\right)\right), \left(\color{blue}{3} - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
        6. *-lowering-*.f64N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
        7. associate--r+N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 - \frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - \color{blue}{\frac{9}{2}}\right)\right) \]
        8. sub-negN/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 + \left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right)\right) - \frac{9}{2}\right)\right) \]
        9. +-commutativeN/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + 3\right) - \frac{9}{2}\right)\right) \]
        10. associate--l+N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \color{blue}{\left(3 - \frac{9}{2}\right)}\right)\right) \]
        11. metadata-evalN/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \frac{-3}{2}\right)\right) \]
        12. metadata-evalN/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\frac{-9}{2} + \color{blue}{3}\right)\right)\right) \]
        13. metadata-evalN/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\left(\mathsf{neg}\left(\frac{9}{2}\right)\right) + 3\right)\right)\right) \]
      3. Simplified99.9%

        \[\leadsto \color{blue}{\frac{2}{r \cdot r} + \left(\left(0.375 + v \cdot -0.25\right) \cdot \frac{r \cdot \left(w \cdot \left(r \cdot w\right)\right)}{v + -1} + -1.5\right)} \]
      4. Add Preprocessing
      5. Taylor expanded in v around 0

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\color{blue}{\left(\frac{-3}{8} \cdot \left({r}^{2} \cdot {w}^{2}\right)\right)}, \frac{-3}{2}\right)\right) \]
      6. Step-by-step derivation
        1. *-commutativeN/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\left(\left({r}^{2} \cdot {w}^{2}\right) \cdot \frac{-3}{8}\right), \frac{-3}{2}\right)\right) \]
        2. associate-*l*N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\left({r}^{2} \cdot \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
        3. *-lowering-*.f64N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left({r}^{2}\right), \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
        4. unpow2N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(r \cdot r\right), \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
        5. *-lowering-*.f64N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
        6. *-lowering-*.f64N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\left({w}^{2}\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
        7. unpow2N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\left(w \cdot w\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
        8. *-lowering-*.f6479.4%

          \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
      7. Simplified79.4%

        \[\leadsto \frac{2}{r \cdot r} + \left(\color{blue}{\left(r \cdot r\right) \cdot \left(\left(w \cdot w\right) \cdot -0.375\right)} + -1.5\right) \]
      8. Taylor expanded in r around inf

        \[\leadsto \color{blue}{\frac{-3}{8} \cdot \left({r}^{2} \cdot {w}^{2}\right)} \]
      9. Step-by-step derivation
        1. *-commutativeN/A

          \[\leadsto \left({r}^{2} \cdot {w}^{2}\right) \cdot \color{blue}{\frac{-3}{8}} \]
        2. associate-*l*N/A

          \[\leadsto {r}^{2} \cdot \color{blue}{\left({w}^{2} \cdot \frac{-3}{8}\right)} \]
        3. *-commutativeN/A

          \[\leadsto {r}^{2} \cdot \left(\frac{-3}{8} \cdot \color{blue}{{w}^{2}}\right) \]
        4. *-lowering-*.f64N/A

          \[\leadsto \mathsf{*.f64}\left(\left({r}^{2}\right), \color{blue}{\left(\frac{-3}{8} \cdot {w}^{2}\right)}\right) \]
        5. unpow2N/A

          \[\leadsto \mathsf{*.f64}\left(\left(r \cdot r\right), \left(\color{blue}{\frac{-3}{8}} \cdot {w}^{2}\right)\right) \]
        6. *-lowering-*.f64N/A

          \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \left(\color{blue}{\frac{-3}{8}} \cdot {w}^{2}\right)\right) \]
        7. *-commutativeN/A

          \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \left({w}^{2} \cdot \color{blue}{\frac{-3}{8}}\right)\right) \]
        8. *-lowering-*.f64N/A

          \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\left({w}^{2}\right), \color{blue}{\frac{-3}{8}}\right)\right) \]
        9. unpow2N/A

          \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\left(w \cdot w\right), \frac{-3}{8}\right)\right) \]
        10. *-lowering-*.f6453.9%

          \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \frac{-3}{8}\right)\right) \]
      10. Simplified53.9%

        \[\leadsto \color{blue}{\left(r \cdot r\right) \cdot \left(\left(w \cdot w\right) \cdot -0.375\right)} \]
      11. Step-by-step derivation
        1. associate-*r*N/A

          \[\leadsto \left(\left(r \cdot r\right) \cdot \left(w \cdot w\right)\right) \cdot \color{blue}{\frac{-3}{8}} \]
        2. swap-sqrN/A

          \[\leadsto \left(\left(r \cdot w\right) \cdot \left(r \cdot w\right)\right) \cdot \frac{-3}{8} \]
        3. associate-*r*N/A

          \[\leadsto \left(r \cdot w\right) \cdot \color{blue}{\left(\left(r \cdot w\right) \cdot \frac{-3}{8}\right)} \]
        4. *-commutativeN/A

          \[\leadsto \left(\left(r \cdot w\right) \cdot \frac{-3}{8}\right) \cdot \color{blue}{\left(r \cdot w\right)} \]
        5. *-lowering-*.f64N/A

          \[\leadsto \mathsf{*.f64}\left(\left(\left(r \cdot w\right) \cdot \frac{-3}{8}\right), \color{blue}{\left(r \cdot w\right)}\right) \]
        6. associate-*l*N/A

          \[\leadsto \mathsf{*.f64}\left(\left(r \cdot \left(w \cdot \frac{-3}{8}\right)\right), \left(\color{blue}{r} \cdot w\right)\right) \]
        7. *-lowering-*.f64N/A

          \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, \left(w \cdot \frac{-3}{8}\right)\right), \left(\color{blue}{r} \cdot w\right)\right) \]
        8. *-lowering-*.f64N/A

          \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, \mathsf{*.f64}\left(w, \frac{-3}{8}\right)\right), \left(r \cdot w\right)\right) \]
        9. *-lowering-*.f6459.9%

          \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, \mathsf{*.f64}\left(w, \frac{-3}{8}\right)\right), \mathsf{*.f64}\left(r, \color{blue}{w}\right)\right) \]
      12. Applied egg-rr59.9%

        \[\leadsto \color{blue}{\left(r \cdot \left(w \cdot -0.375\right)\right) \cdot \left(r \cdot w\right)} \]
    7. Recombined 2 regimes into one program.
    8. Final simplification67.5%

      \[\leadsto \begin{array}{l} \mathbf{if}\;r \leq 5.3 \cdot 10^{-5}:\\ \;\;\;\;\frac{2}{r \cdot r} + -1.5\\ \mathbf{else}:\\ \;\;\;\;\left(r \cdot w\right) \cdot \left(r \cdot \left(w \cdot -0.375\right)\right)\\ \end{array} \]
    9. Add Preprocessing

    Alternative 10: 64.7% accurate, 2.1× speedup?

    \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;r \leq 5.2 \cdot 10^{-5}:\\ \;\;\;\;\frac{2}{r \cdot r} + -1.5\\ \mathbf{else}:\\ \;\;\;\;\left(r \cdot r\right) \cdot \left(-0.375 \cdot \left(w \cdot w\right)\right)\\ \end{array} \end{array} \]
    (FPCore (v w r)
     :precision binary64
     (if (<= r 5.2e-5) (+ (/ 2.0 (* r r)) -1.5) (* (* r r) (* -0.375 (* w w)))))
    double code(double v, double w, double r) {
    	double tmp;
    	if (r <= 5.2e-5) {
    		tmp = (2.0 / (r * r)) + -1.5;
    	} else {
    		tmp = (r * r) * (-0.375 * (w * w));
    	}
    	return tmp;
    }
    
    real(8) function code(v, w, r)
        real(8), intent (in) :: v
        real(8), intent (in) :: w
        real(8), intent (in) :: r
        real(8) :: tmp
        if (r <= 5.2d-5) then
            tmp = (2.0d0 / (r * r)) + (-1.5d0)
        else
            tmp = (r * r) * ((-0.375d0) * (w * w))
        end if
        code = tmp
    end function
    
    public static double code(double v, double w, double r) {
    	double tmp;
    	if (r <= 5.2e-5) {
    		tmp = (2.0 / (r * r)) + -1.5;
    	} else {
    		tmp = (r * r) * (-0.375 * (w * w));
    	}
    	return tmp;
    }
    
    def code(v, w, r):
    	tmp = 0
    	if r <= 5.2e-5:
    		tmp = (2.0 / (r * r)) + -1.5
    	else:
    		tmp = (r * r) * (-0.375 * (w * w))
    	return tmp
    
    function code(v, w, r)
    	tmp = 0.0
    	if (r <= 5.2e-5)
    		tmp = Float64(Float64(2.0 / Float64(r * r)) + -1.5);
    	else
    		tmp = Float64(Float64(r * r) * Float64(-0.375 * Float64(w * w)));
    	end
    	return tmp
    end
    
    function tmp_2 = code(v, w, r)
    	tmp = 0.0;
    	if (r <= 5.2e-5)
    		tmp = (2.0 / (r * r)) + -1.5;
    	else
    		tmp = (r * r) * (-0.375 * (w * w));
    	end
    	tmp_2 = tmp;
    end
    
    code[v_, w_, r_] := If[LessEqual[r, 5.2e-5], N[(N[(2.0 / N[(r * r), $MachinePrecision]), $MachinePrecision] + -1.5), $MachinePrecision], N[(N[(r * r), $MachinePrecision] * N[(-0.375 * N[(w * w), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
    
    \begin{array}{l}
    
    \\
    \begin{array}{l}
    \mathbf{if}\;r \leq 5.2 \cdot 10^{-5}:\\
    \;\;\;\;\frac{2}{r \cdot r} + -1.5\\
    
    \mathbf{else}:\\
    \;\;\;\;\left(r \cdot r\right) \cdot \left(-0.375 \cdot \left(w \cdot w\right)\right)\\
    
    
    \end{array}
    \end{array}
    
    Derivation
    1. Split input into 2 regimes
    2. if r < 5.19999999999999968e-5

      1. Initial program 85.0%

        \[\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5 \]
      2. Step-by-step derivation
        1. associate--l-N/A

          \[\leadsto \left(3 + \frac{2}{r \cdot r}\right) - \color{blue}{\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)} \]
        2. +-commutativeN/A

          \[\leadsto \left(\frac{2}{r \cdot r} + 3\right) - \left(\color{blue}{\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}} + \frac{9}{2}\right) \]
        3. associate--l+N/A

          \[\leadsto \frac{2}{r \cdot r} + \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)} \]
        4. +-lowering-+.f64N/A

          \[\leadsto \mathsf{+.f64}\left(\left(\frac{2}{r \cdot r}\right), \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)}\right) \]
        5. /-lowering-/.f64N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \left(r \cdot r\right)\right), \left(\color{blue}{3} - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
        6. *-lowering-*.f64N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
        7. associate--r+N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 - \frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - \color{blue}{\frac{9}{2}}\right)\right) \]
        8. sub-negN/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 + \left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right)\right) - \frac{9}{2}\right)\right) \]
        9. +-commutativeN/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + 3\right) - \frac{9}{2}\right)\right) \]
        10. associate--l+N/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \color{blue}{\left(3 - \frac{9}{2}\right)}\right)\right) \]
        11. metadata-evalN/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \frac{-3}{2}\right)\right) \]
        12. metadata-evalN/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\frac{-9}{2} + \color{blue}{3}\right)\right)\right) \]
        13. metadata-evalN/A

          \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\left(\mathsf{neg}\left(\frac{9}{2}\right)\right) + 3\right)\right)\right) \]
      3. Simplified93.8%

        \[\leadsto \color{blue}{\frac{2}{r \cdot r} + \left(\left(0.375 + v \cdot -0.25\right) \cdot \frac{r \cdot \left(w \cdot \left(r \cdot w\right)\right)}{v + -1} + -1.5\right)} \]
      4. Add Preprocessing
      5. Taylor expanded in r around 0

        \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \color{blue}{\frac{-3}{2}}\right) \]
      6. Step-by-step derivation
        1. Simplified70.0%

          \[\leadsto \frac{2}{r \cdot r} + \color{blue}{-1.5} \]

        if 5.19999999999999968e-5 < r

        1. Initial program 91.0%

          \[\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5 \]
        2. Step-by-step derivation
          1. associate--l-N/A

            \[\leadsto \left(3 + \frac{2}{r \cdot r}\right) - \color{blue}{\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)} \]
          2. +-commutativeN/A

            \[\leadsto \left(\frac{2}{r \cdot r} + 3\right) - \left(\color{blue}{\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}} + \frac{9}{2}\right) \]
          3. associate--l+N/A

            \[\leadsto \frac{2}{r \cdot r} + \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)} \]
          4. +-lowering-+.f64N/A

            \[\leadsto \mathsf{+.f64}\left(\left(\frac{2}{r \cdot r}\right), \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)}\right) \]
          5. /-lowering-/.f64N/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \left(r \cdot r\right)\right), \left(\color{blue}{3} - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
          6. *-lowering-*.f64N/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
          7. associate--r+N/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 - \frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - \color{blue}{\frac{9}{2}}\right)\right) \]
          8. sub-negN/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 + \left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right)\right) - \frac{9}{2}\right)\right) \]
          9. +-commutativeN/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + 3\right) - \frac{9}{2}\right)\right) \]
          10. associate--l+N/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \color{blue}{\left(3 - \frac{9}{2}\right)}\right)\right) \]
          11. metadata-evalN/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \frac{-3}{2}\right)\right) \]
          12. metadata-evalN/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\frac{-9}{2} + \color{blue}{3}\right)\right)\right) \]
          13. metadata-evalN/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\left(\mathsf{neg}\left(\frac{9}{2}\right)\right) + 3\right)\right)\right) \]
        3. Simplified99.9%

          \[\leadsto \color{blue}{\frac{2}{r \cdot r} + \left(\left(0.375 + v \cdot -0.25\right) \cdot \frac{r \cdot \left(w \cdot \left(r \cdot w\right)\right)}{v + -1} + -1.5\right)} \]
        4. Add Preprocessing
        5. Taylor expanded in v around 0

          \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\color{blue}{\left(\frac{-3}{8} \cdot \left({r}^{2} \cdot {w}^{2}\right)\right)}, \frac{-3}{2}\right)\right) \]
        6. Step-by-step derivation
          1. *-commutativeN/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\left(\left({r}^{2} \cdot {w}^{2}\right) \cdot \frac{-3}{8}\right), \frac{-3}{2}\right)\right) \]
          2. associate-*l*N/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\left({r}^{2} \cdot \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
          3. *-lowering-*.f64N/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left({r}^{2}\right), \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
          4. unpow2N/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\left(r \cdot r\right), \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
          5. *-lowering-*.f64N/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \left({w}^{2} \cdot \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
          6. *-lowering-*.f64N/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\left({w}^{2}\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
          7. unpow2N/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\left(w \cdot w\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
          8. *-lowering-*.f6479.4%

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \frac{-3}{8}\right)\right), \frac{-3}{2}\right)\right) \]
        7. Simplified79.4%

          \[\leadsto \frac{2}{r \cdot r} + \left(\color{blue}{\left(r \cdot r\right) \cdot \left(\left(w \cdot w\right) \cdot -0.375\right)} + -1.5\right) \]
        8. Taylor expanded in r around inf

          \[\leadsto \color{blue}{\frac{-3}{8} \cdot \left({r}^{2} \cdot {w}^{2}\right)} \]
        9. Step-by-step derivation
          1. *-commutativeN/A

            \[\leadsto \left({r}^{2} \cdot {w}^{2}\right) \cdot \color{blue}{\frac{-3}{8}} \]
          2. associate-*l*N/A

            \[\leadsto {r}^{2} \cdot \color{blue}{\left({w}^{2} \cdot \frac{-3}{8}\right)} \]
          3. *-commutativeN/A

            \[\leadsto {r}^{2} \cdot \left(\frac{-3}{8} \cdot \color{blue}{{w}^{2}}\right) \]
          4. *-lowering-*.f64N/A

            \[\leadsto \mathsf{*.f64}\left(\left({r}^{2}\right), \color{blue}{\left(\frac{-3}{8} \cdot {w}^{2}\right)}\right) \]
          5. unpow2N/A

            \[\leadsto \mathsf{*.f64}\left(\left(r \cdot r\right), \left(\color{blue}{\frac{-3}{8}} \cdot {w}^{2}\right)\right) \]
          6. *-lowering-*.f64N/A

            \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \left(\color{blue}{\frac{-3}{8}} \cdot {w}^{2}\right)\right) \]
          7. *-commutativeN/A

            \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \left({w}^{2} \cdot \color{blue}{\frac{-3}{8}}\right)\right) \]
          8. *-lowering-*.f64N/A

            \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\left({w}^{2}\right), \color{blue}{\frac{-3}{8}}\right)\right) \]
          9. unpow2N/A

            \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\left(w \cdot w\right), \frac{-3}{8}\right)\right) \]
          10. *-lowering-*.f6453.9%

            \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(r, r\right), \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \frac{-3}{8}\right)\right) \]
        10. Simplified53.9%

          \[\leadsto \color{blue}{\left(r \cdot r\right) \cdot \left(\left(w \cdot w\right) \cdot -0.375\right)} \]
      7. Recombined 2 regimes into one program.
      8. Final simplification66.1%

        \[\leadsto \begin{array}{l} \mathbf{if}\;r \leq 5.2 \cdot 10^{-5}:\\ \;\;\;\;\frac{2}{r \cdot r} + -1.5\\ \mathbf{else}:\\ \;\;\;\;\left(r \cdot r\right) \cdot \left(-0.375 \cdot \left(w \cdot w\right)\right)\\ \end{array} \]
      9. Add Preprocessing

      Alternative 11: 50.6% accurate, 2.9× speedup?

      \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;r \leq 5.7 \cdot 10^{-5}:\\ \;\;\;\;\frac{2}{r \cdot r}\\ \mathbf{else}:\\ \;\;\;\;-1.5\\ \end{array} \end{array} \]
      (FPCore (v w r) :precision binary64 (if (<= r 5.7e-5) (/ 2.0 (* r r)) -1.5))
      double code(double v, double w, double r) {
      	double tmp;
      	if (r <= 5.7e-5) {
      		tmp = 2.0 / (r * r);
      	} else {
      		tmp = -1.5;
      	}
      	return tmp;
      }
      
      real(8) function code(v, w, r)
          real(8), intent (in) :: v
          real(8), intent (in) :: w
          real(8), intent (in) :: r
          real(8) :: tmp
          if (r <= 5.7d-5) then
              tmp = 2.0d0 / (r * r)
          else
              tmp = -1.5d0
          end if
          code = tmp
      end function
      
      public static double code(double v, double w, double r) {
      	double tmp;
      	if (r <= 5.7e-5) {
      		tmp = 2.0 / (r * r);
      	} else {
      		tmp = -1.5;
      	}
      	return tmp;
      }
      
      def code(v, w, r):
      	tmp = 0
      	if r <= 5.7e-5:
      		tmp = 2.0 / (r * r)
      	else:
      		tmp = -1.5
      	return tmp
      
      function code(v, w, r)
      	tmp = 0.0
      	if (r <= 5.7e-5)
      		tmp = Float64(2.0 / Float64(r * r));
      	else
      		tmp = -1.5;
      	end
      	return tmp
      end
      
      function tmp_2 = code(v, w, r)
      	tmp = 0.0;
      	if (r <= 5.7e-5)
      		tmp = 2.0 / (r * r);
      	else
      		tmp = -1.5;
      	end
      	tmp_2 = tmp;
      end
      
      code[v_, w_, r_] := If[LessEqual[r, 5.7e-5], N[(2.0 / N[(r * r), $MachinePrecision]), $MachinePrecision], -1.5]
      
      \begin{array}{l}
      
      \\
      \begin{array}{l}
      \mathbf{if}\;r \leq 5.7 \cdot 10^{-5}:\\
      \;\;\;\;\frac{2}{r \cdot r}\\
      
      \mathbf{else}:\\
      \;\;\;\;-1.5\\
      
      
      \end{array}
      \end{array}
      
      Derivation
      1. Split input into 2 regimes
      2. if r < 5.7000000000000003e-5

        1. Initial program 85.0%

          \[\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5 \]
        2. Step-by-step derivation
          1. associate--l-N/A

            \[\leadsto \left(3 + \frac{2}{r \cdot r}\right) - \color{blue}{\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)} \]
          2. +-commutativeN/A

            \[\leadsto \left(\frac{2}{r \cdot r} + 3\right) - \left(\color{blue}{\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}} + \frac{9}{2}\right) \]
          3. associate--l+N/A

            \[\leadsto \frac{2}{r \cdot r} + \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)} \]
          4. +-lowering-+.f64N/A

            \[\leadsto \mathsf{+.f64}\left(\left(\frac{2}{r \cdot r}\right), \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)}\right) \]
          5. /-lowering-/.f64N/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \left(r \cdot r\right)\right), \left(\color{blue}{3} - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
          6. *-lowering-*.f64N/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
          7. associate--r+N/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 - \frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - \color{blue}{\frac{9}{2}}\right)\right) \]
          8. sub-negN/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 + \left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right)\right) - \frac{9}{2}\right)\right) \]
          9. +-commutativeN/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + 3\right) - \frac{9}{2}\right)\right) \]
          10. associate--l+N/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \color{blue}{\left(3 - \frac{9}{2}\right)}\right)\right) \]
          11. metadata-evalN/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \frac{-3}{2}\right)\right) \]
          12. metadata-evalN/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\frac{-9}{2} + \color{blue}{3}\right)\right)\right) \]
          13. metadata-evalN/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\left(\mathsf{neg}\left(\frac{9}{2}\right)\right) + 3\right)\right)\right) \]
        3. Simplified93.8%

          \[\leadsto \color{blue}{\frac{2}{r \cdot r} + \left(\left(0.375 + v \cdot -0.25\right) \cdot \frac{r \cdot \left(w \cdot \left(r \cdot w\right)\right)}{v + -1} + -1.5\right)} \]
        4. Add Preprocessing
        5. Taylor expanded in r around 0

          \[\leadsto \color{blue}{\frac{2}{{r}^{2}}} \]
        6. Step-by-step derivation
          1. /-lowering-/.f64N/A

            \[\leadsto \mathsf{/.f64}\left(2, \color{blue}{\left({r}^{2}\right)}\right) \]
          2. unpow2N/A

            \[\leadsto \mathsf{/.f64}\left(2, \left(r \cdot \color{blue}{r}\right)\right) \]
          3. *-lowering-*.f6462.8%

            \[\leadsto \mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, \color{blue}{r}\right)\right) \]
        7. Simplified62.8%

          \[\leadsto \color{blue}{\frac{2}{r \cdot r}} \]

        if 5.7000000000000003e-5 < r

        1. Initial program 91.0%

          \[\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5 \]
        2. Step-by-step derivation
          1. associate--l-N/A

            \[\leadsto \left(3 + \frac{2}{r \cdot r}\right) - \color{blue}{\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)} \]
          2. +-commutativeN/A

            \[\leadsto \left(\frac{2}{r \cdot r} + 3\right) - \left(\color{blue}{\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}} + \frac{9}{2}\right) \]
          3. associate--l+N/A

            \[\leadsto \frac{2}{r \cdot r} + \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)} \]
          4. +-lowering-+.f64N/A

            \[\leadsto \mathsf{+.f64}\left(\left(\frac{2}{r \cdot r}\right), \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)}\right) \]
          5. /-lowering-/.f64N/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \left(r \cdot r\right)\right), \left(\color{blue}{3} - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
          6. *-lowering-*.f64N/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
          7. associate--r+N/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 - \frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - \color{blue}{\frac{9}{2}}\right)\right) \]
          8. sub-negN/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 + \left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right)\right) - \frac{9}{2}\right)\right) \]
          9. +-commutativeN/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + 3\right) - \frac{9}{2}\right)\right) \]
          10. associate--l+N/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \color{blue}{\left(3 - \frac{9}{2}\right)}\right)\right) \]
          11. metadata-evalN/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \frac{-3}{2}\right)\right) \]
          12. metadata-evalN/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\frac{-9}{2} + \color{blue}{3}\right)\right)\right) \]
          13. metadata-evalN/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\left(\mathsf{neg}\left(\frac{9}{2}\right)\right) + 3\right)\right)\right) \]
        3. Simplified99.9%

          \[\leadsto \color{blue}{\frac{2}{r \cdot r} + \left(\left(0.375 + v \cdot -0.25\right) \cdot \frac{r \cdot \left(w \cdot \left(r \cdot w\right)\right)}{v + -1} + -1.5\right)} \]
        4. Add Preprocessing
        5. Taylor expanded in w around inf

          \[\leadsto \color{blue}{{w}^{2} \cdot \left(\left(\frac{2}{{r}^{2} \cdot {w}^{2}} + \frac{{r}^{2} \cdot \left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}{v - 1}\right) - \frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)} \]
        6. Step-by-step derivation
          1. *-lowering-*.f64N/A

            \[\leadsto \mathsf{*.f64}\left(\left({w}^{2}\right), \color{blue}{\left(\left(\frac{2}{{r}^{2} \cdot {w}^{2}} + \frac{{r}^{2} \cdot \left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}{v - 1}\right) - \frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)}\right) \]
          2. unpow2N/A

            \[\leadsto \mathsf{*.f64}\left(\left(w \cdot w\right), \left(\color{blue}{\left(\frac{2}{{r}^{2} \cdot {w}^{2}} + \frac{{r}^{2} \cdot \left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}{v - 1}\right)} - \frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)\right) \]
          3. *-lowering-*.f64N/A

            \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \left(\color{blue}{\left(\frac{2}{{r}^{2} \cdot {w}^{2}} + \frac{{r}^{2} \cdot \left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}{v - 1}\right)} - \frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)\right) \]
          4. associate--l+N/A

            \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \left(\frac{2}{{r}^{2} \cdot {w}^{2}} + \color{blue}{\left(\frac{{r}^{2} \cdot \left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}{v - 1} - \frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)}\right)\right) \]
          5. +-lowering-+.f64N/A

            \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{+.f64}\left(\left(\frac{2}{{r}^{2} \cdot {w}^{2}}\right), \color{blue}{\left(\frac{{r}^{2} \cdot \left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}{v - 1} - \frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)}\right)\right) \]
          6. associate-/r*N/A

            \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{+.f64}\left(\left(\frac{\frac{2}{{r}^{2}}}{{w}^{2}}\right), \left(\color{blue}{\frac{{r}^{2} \cdot \left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}{v - 1}} - \frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)\right)\right) \]
          7. metadata-evalN/A

            \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{+.f64}\left(\left(\frac{\frac{2 \cdot 1}{{r}^{2}}}{{w}^{2}}\right), \left(\frac{\color{blue}{{r}^{2}} \cdot \left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}{v - 1} - \frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)\right)\right) \]
          8. associate-*r/N/A

            \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{+.f64}\left(\left(\frac{2 \cdot \frac{1}{{r}^{2}}}{{w}^{2}}\right), \left(\frac{\color{blue}{{r}^{2} \cdot \left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}}{v - 1} - \frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)\right)\right) \]
          9. /-lowering-/.f64N/A

            \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{+.f64}\left(\mathsf{/.f64}\left(\left(2 \cdot \frac{1}{{r}^{2}}\right), \left({w}^{2}\right)\right), \left(\color{blue}{\frac{{r}^{2} \cdot \left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}{v - 1}} - \frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)\right)\right) \]
          10. associate-*r/N/A

            \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{+.f64}\left(\mathsf{/.f64}\left(\left(\frac{2 \cdot 1}{{r}^{2}}\right), \left({w}^{2}\right)\right), \left(\frac{\color{blue}{{r}^{2} \cdot \left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}}{v - 1} - \frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)\right)\right) \]
          11. metadata-evalN/A

            \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{+.f64}\left(\mathsf{/.f64}\left(\left(\frac{2}{{r}^{2}}\right), \left({w}^{2}\right)\right), \left(\frac{\color{blue}{{r}^{2}} \cdot \left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}{v - 1} - \frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)\right)\right) \]
          12. /-lowering-/.f64N/A

            \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{+.f64}\left(\mathsf{/.f64}\left(\mathsf{/.f64}\left(2, \left({r}^{2}\right)\right), \left({w}^{2}\right)\right), \left(\frac{\color{blue}{{r}^{2} \cdot \left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}}{v - 1} - \frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)\right)\right) \]
          13. unpow2N/A

            \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{+.f64}\left(\mathsf{/.f64}\left(\mathsf{/.f64}\left(2, \left(r \cdot r\right)\right), \left({w}^{2}\right)\right), \left(\frac{{r}^{2} \cdot \color{blue}{\left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}}{v - 1} - \frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)\right)\right) \]
          14. *-lowering-*.f64N/A

            \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{+.f64}\left(\mathsf{/.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left({w}^{2}\right)\right), \left(\frac{{r}^{2} \cdot \color{blue}{\left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}}{v - 1} - \frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)\right)\right) \]
          15. unpow2N/A

            \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{+.f64}\left(\mathsf{/.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(w \cdot w\right)\right), \left(\frac{{r}^{2} \cdot \left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}{\color{blue}{v - 1}} - \frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)\right)\right) \]
          16. *-lowering-*.f64N/A

            \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{+.f64}\left(\mathsf{/.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{*.f64}\left(w, w\right)\right), \left(\frac{{r}^{2} \cdot \left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}{\color{blue}{v - 1}} - \frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)\right)\right) \]
          17. sub-negN/A

            \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{+.f64}\left(\mathsf{/.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{*.f64}\left(w, w\right)\right), \left(\frac{{r}^{2} \cdot \left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}{v - 1} + \color{blue}{\left(\mathsf{neg}\left(\frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)\right)}\right)\right)\right) \]
        7. Simplified59.1%

          \[\leadsto \color{blue}{\left(w \cdot w\right) \cdot \left(\frac{\frac{2}{r \cdot r}}{w \cdot w} + \left(\frac{\left(r \cdot r\right) \cdot \left(0.375 + -0.25 \cdot v\right)}{v + -1} + \frac{-1.5}{w \cdot w}\right)\right)} \]
        8. Taylor expanded in w around 0

          \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \color{blue}{\left(\frac{2 \cdot \frac{1}{{r}^{2}} - \frac{3}{2}}{{w}^{2}}\right)}\right) \]
        9. Step-by-step derivation
          1. unpow2N/A

            \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \left(\frac{2 \cdot \frac{1}{{r}^{2}} - \frac{3}{2}}{w \cdot \color{blue}{w}}\right)\right) \]
          2. associate-/r*N/A

            \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \left(\frac{\frac{2 \cdot \frac{1}{{r}^{2}} - \frac{3}{2}}{w}}{\color{blue}{w}}\right)\right) \]
          3. /-lowering-/.f64N/A

            \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{/.f64}\left(\left(\frac{2 \cdot \frac{1}{{r}^{2}} - \frac{3}{2}}{w}\right), \color{blue}{w}\right)\right) \]
          4. /-lowering-/.f64N/A

            \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{/.f64}\left(\mathsf{/.f64}\left(\left(2 \cdot \frac{1}{{r}^{2}} - \frac{3}{2}\right), w\right), w\right)\right) \]
          5. sub-negN/A

            \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{/.f64}\left(\mathsf{/.f64}\left(\left(2 \cdot \frac{1}{{r}^{2}} + \left(\mathsf{neg}\left(\frac{3}{2}\right)\right)\right), w\right), w\right)\right) \]
          6. metadata-evalN/A

            \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{/.f64}\left(\mathsf{/.f64}\left(\left(2 \cdot \frac{1}{{r}^{2}} + \frac{-3}{2}\right), w\right), w\right)\right) \]
          7. +-commutativeN/A

            \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{/.f64}\left(\mathsf{/.f64}\left(\left(\frac{-3}{2} + 2 \cdot \frac{1}{{r}^{2}}\right), w\right), w\right)\right) \]
          8. +-lowering-+.f64N/A

            \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{/.f64}\left(\mathsf{/.f64}\left(\mathsf{+.f64}\left(\frac{-3}{2}, \left(2 \cdot \frac{1}{{r}^{2}}\right)\right), w\right), w\right)\right) \]
          9. associate-*r/N/A

            \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{/.f64}\left(\mathsf{/.f64}\left(\mathsf{+.f64}\left(\frac{-3}{2}, \left(\frac{2 \cdot 1}{{r}^{2}}\right)\right), w\right), w\right)\right) \]
          10. metadata-evalN/A

            \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{/.f64}\left(\mathsf{/.f64}\left(\mathsf{+.f64}\left(\frac{-3}{2}, \left(\frac{2}{{r}^{2}}\right)\right), w\right), w\right)\right) \]
          11. /-lowering-/.f64N/A

            \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{/.f64}\left(\mathsf{/.f64}\left(\mathsf{+.f64}\left(\frac{-3}{2}, \mathsf{/.f64}\left(2, \left({r}^{2}\right)\right)\right), w\right), w\right)\right) \]
          12. unpow2N/A

            \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{/.f64}\left(\mathsf{/.f64}\left(\mathsf{+.f64}\left(\frac{-3}{2}, \mathsf{/.f64}\left(2, \left(r \cdot r\right)\right)\right), w\right), w\right)\right) \]
          13. *-lowering-*.f648.2%

            \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{/.f64}\left(\mathsf{/.f64}\left(\mathsf{+.f64}\left(\frac{-3}{2}, \mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right)\right), w\right), w\right)\right) \]
        10. Simplified8.2%

          \[\leadsto \left(w \cdot w\right) \cdot \color{blue}{\frac{\frac{-1.5 + \frac{2}{r \cdot r}}{w}}{w}} \]
        11. Taylor expanded in r around inf

          \[\leadsto \color{blue}{\frac{-3}{2}} \]
        12. Step-by-step derivation
          1. Simplified33.1%

            \[\leadsto \color{blue}{-1.5} \]
        13. Recombined 2 regimes into one program.
        14. Add Preprocessing

        Alternative 12: 57.3% accurate, 4.1× speedup?

        \[\begin{array}{l} \\ \frac{2}{r \cdot r} + -1.5 \end{array} \]
        (FPCore (v w r) :precision binary64 (+ (/ 2.0 (* r r)) -1.5))
        double code(double v, double w, double r) {
        	return (2.0 / (r * r)) + -1.5;
        }
        
        real(8) function code(v, w, r)
            real(8), intent (in) :: v
            real(8), intent (in) :: w
            real(8), intent (in) :: r
            code = (2.0d0 / (r * r)) + (-1.5d0)
        end function
        
        public static double code(double v, double w, double r) {
        	return (2.0 / (r * r)) + -1.5;
        }
        
        def code(v, w, r):
        	return (2.0 / (r * r)) + -1.5
        
        function code(v, w, r)
        	return Float64(Float64(2.0 / Float64(r * r)) + -1.5)
        end
        
        function tmp = code(v, w, r)
        	tmp = (2.0 / (r * r)) + -1.5;
        end
        
        code[v_, w_, r_] := N[(N[(2.0 / N[(r * r), $MachinePrecision]), $MachinePrecision] + -1.5), $MachinePrecision]
        
        \begin{array}{l}
        
        \\
        \frac{2}{r \cdot r} + -1.5
        \end{array}
        
        Derivation
        1. Initial program 86.5%

          \[\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5 \]
        2. Step-by-step derivation
          1. associate--l-N/A

            \[\leadsto \left(3 + \frac{2}{r \cdot r}\right) - \color{blue}{\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)} \]
          2. +-commutativeN/A

            \[\leadsto \left(\frac{2}{r \cdot r} + 3\right) - \left(\color{blue}{\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}} + \frac{9}{2}\right) \]
          3. associate--l+N/A

            \[\leadsto \frac{2}{r \cdot r} + \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)} \]
          4. +-lowering-+.f64N/A

            \[\leadsto \mathsf{+.f64}\left(\left(\frac{2}{r \cdot r}\right), \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)}\right) \]
          5. /-lowering-/.f64N/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \left(r \cdot r\right)\right), \left(\color{blue}{3} - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
          6. *-lowering-*.f64N/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
          7. associate--r+N/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 - \frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - \color{blue}{\frac{9}{2}}\right)\right) \]
          8. sub-negN/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 + \left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right)\right) - \frac{9}{2}\right)\right) \]
          9. +-commutativeN/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + 3\right) - \frac{9}{2}\right)\right) \]
          10. associate--l+N/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \color{blue}{\left(3 - \frac{9}{2}\right)}\right)\right) \]
          11. metadata-evalN/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \frac{-3}{2}\right)\right) \]
          12. metadata-evalN/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\frac{-9}{2} + \color{blue}{3}\right)\right)\right) \]
          13. metadata-evalN/A

            \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\left(\mathsf{neg}\left(\frac{9}{2}\right)\right) + 3\right)\right)\right) \]
        3. Simplified95.3%

          \[\leadsto \color{blue}{\frac{2}{r \cdot r} + \left(\left(0.375 + v \cdot -0.25\right) \cdot \frac{r \cdot \left(w \cdot \left(r \cdot w\right)\right)}{v + -1} + -1.5\right)} \]
        4. Add Preprocessing
        5. Taylor expanded in r around 0

          \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \color{blue}{\frac{-3}{2}}\right) \]
        6. Step-by-step derivation
          1. Simplified60.9%

            \[\leadsto \frac{2}{r \cdot r} + \color{blue}{-1.5} \]
          2. Add Preprocessing

          Alternative 13: 13.7% accurate, 29.0× speedup?

          \[\begin{array}{l} \\ -1.5 \end{array} \]
          (FPCore (v w r) :precision binary64 -1.5)
          double code(double v, double w, double r) {
          	return -1.5;
          }
          
          real(8) function code(v, w, r)
              real(8), intent (in) :: v
              real(8), intent (in) :: w
              real(8), intent (in) :: r
              code = -1.5d0
          end function
          
          public static double code(double v, double w, double r) {
          	return -1.5;
          }
          
          def code(v, w, r):
          	return -1.5
          
          function code(v, w, r)
          	return -1.5
          end
          
          function tmp = code(v, w, r)
          	tmp = -1.5;
          end
          
          code[v_, w_, r_] := -1.5
          
          \begin{array}{l}
          
          \\
          -1.5
          \end{array}
          
          Derivation
          1. Initial program 86.5%

            \[\left(\left(3 + \frac{2}{r \cdot r}\right) - \frac{\left(0.125 \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - 4.5 \]
          2. Step-by-step derivation
            1. associate--l-N/A

              \[\leadsto \left(3 + \frac{2}{r \cdot r}\right) - \color{blue}{\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)} \]
            2. +-commutativeN/A

              \[\leadsto \left(\frac{2}{r \cdot r} + 3\right) - \left(\color{blue}{\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}} + \frac{9}{2}\right) \]
            3. associate--l+N/A

              \[\leadsto \frac{2}{r \cdot r} + \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)} \]
            4. +-lowering-+.f64N/A

              \[\leadsto \mathsf{+.f64}\left(\left(\frac{2}{r \cdot r}\right), \color{blue}{\left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)}\right) \]
            5. /-lowering-/.f64N/A

              \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \left(r \cdot r\right)\right), \left(\color{blue}{3} - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
            6. *-lowering-*.f64N/A

              \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(3 - \left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v} + \frac{9}{2}\right)\right)\right) \]
            7. associate--r+N/A

              \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 - \frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right) - \color{blue}{\frac{9}{2}}\right)\right) \]
            8. sub-negN/A

              \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(3 + \left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right)\right) - \frac{9}{2}\right)\right) \]
            9. +-commutativeN/A

              \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + 3\right) - \frac{9}{2}\right)\right) \]
            10. associate--l+N/A

              \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \color{blue}{\left(3 - \frac{9}{2}\right)}\right)\right) \]
            11. metadata-evalN/A

              \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \frac{-3}{2}\right)\right) \]
            12. metadata-evalN/A

              \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\frac{-9}{2} + \color{blue}{3}\right)\right)\right) \]
            13. metadata-evalN/A

              \[\leadsto \mathsf{+.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(\left(\mathsf{neg}\left(\frac{\left(\frac{1}{8} \cdot \left(3 - 2 \cdot v\right)\right) \cdot \left(\left(\left(w \cdot w\right) \cdot r\right) \cdot r\right)}{1 - v}\right)\right) + \left(\left(\mathsf{neg}\left(\frac{9}{2}\right)\right) + 3\right)\right)\right) \]
          3. Simplified95.3%

            \[\leadsto \color{blue}{\frac{2}{r \cdot r} + \left(\left(0.375 + v \cdot -0.25\right) \cdot \frac{r \cdot \left(w \cdot \left(r \cdot w\right)\right)}{v + -1} + -1.5\right)} \]
          4. Add Preprocessing
          5. Taylor expanded in w around inf

            \[\leadsto \color{blue}{{w}^{2} \cdot \left(\left(\frac{2}{{r}^{2} \cdot {w}^{2}} + \frac{{r}^{2} \cdot \left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}{v - 1}\right) - \frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)} \]
          6. Step-by-step derivation
            1. *-lowering-*.f64N/A

              \[\leadsto \mathsf{*.f64}\left(\left({w}^{2}\right), \color{blue}{\left(\left(\frac{2}{{r}^{2} \cdot {w}^{2}} + \frac{{r}^{2} \cdot \left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}{v - 1}\right) - \frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)}\right) \]
            2. unpow2N/A

              \[\leadsto \mathsf{*.f64}\left(\left(w \cdot w\right), \left(\color{blue}{\left(\frac{2}{{r}^{2} \cdot {w}^{2}} + \frac{{r}^{2} \cdot \left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}{v - 1}\right)} - \frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)\right) \]
            3. *-lowering-*.f64N/A

              \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \left(\color{blue}{\left(\frac{2}{{r}^{2} \cdot {w}^{2}} + \frac{{r}^{2} \cdot \left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}{v - 1}\right)} - \frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)\right) \]
            4. associate--l+N/A

              \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \left(\frac{2}{{r}^{2} \cdot {w}^{2}} + \color{blue}{\left(\frac{{r}^{2} \cdot \left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}{v - 1} - \frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)}\right)\right) \]
            5. +-lowering-+.f64N/A

              \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{+.f64}\left(\left(\frac{2}{{r}^{2} \cdot {w}^{2}}\right), \color{blue}{\left(\frac{{r}^{2} \cdot \left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}{v - 1} - \frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)}\right)\right) \]
            6. associate-/r*N/A

              \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{+.f64}\left(\left(\frac{\frac{2}{{r}^{2}}}{{w}^{2}}\right), \left(\color{blue}{\frac{{r}^{2} \cdot \left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}{v - 1}} - \frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)\right)\right) \]
            7. metadata-evalN/A

              \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{+.f64}\left(\left(\frac{\frac{2 \cdot 1}{{r}^{2}}}{{w}^{2}}\right), \left(\frac{\color{blue}{{r}^{2}} \cdot \left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}{v - 1} - \frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)\right)\right) \]
            8. associate-*r/N/A

              \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{+.f64}\left(\left(\frac{2 \cdot \frac{1}{{r}^{2}}}{{w}^{2}}\right), \left(\frac{\color{blue}{{r}^{2} \cdot \left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}}{v - 1} - \frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)\right)\right) \]
            9. /-lowering-/.f64N/A

              \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{+.f64}\left(\mathsf{/.f64}\left(\left(2 \cdot \frac{1}{{r}^{2}}\right), \left({w}^{2}\right)\right), \left(\color{blue}{\frac{{r}^{2} \cdot \left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}{v - 1}} - \frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)\right)\right) \]
            10. associate-*r/N/A

              \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{+.f64}\left(\mathsf{/.f64}\left(\left(\frac{2 \cdot 1}{{r}^{2}}\right), \left({w}^{2}\right)\right), \left(\frac{\color{blue}{{r}^{2} \cdot \left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}}{v - 1} - \frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)\right)\right) \]
            11. metadata-evalN/A

              \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{+.f64}\left(\mathsf{/.f64}\left(\left(\frac{2}{{r}^{2}}\right), \left({w}^{2}\right)\right), \left(\frac{\color{blue}{{r}^{2}} \cdot \left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}{v - 1} - \frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)\right)\right) \]
            12. /-lowering-/.f64N/A

              \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{+.f64}\left(\mathsf{/.f64}\left(\mathsf{/.f64}\left(2, \left({r}^{2}\right)\right), \left({w}^{2}\right)\right), \left(\frac{\color{blue}{{r}^{2} \cdot \left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}}{v - 1} - \frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)\right)\right) \]
            13. unpow2N/A

              \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{+.f64}\left(\mathsf{/.f64}\left(\mathsf{/.f64}\left(2, \left(r \cdot r\right)\right), \left({w}^{2}\right)\right), \left(\frac{{r}^{2} \cdot \color{blue}{\left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}}{v - 1} - \frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)\right)\right) \]
            14. *-lowering-*.f64N/A

              \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{+.f64}\left(\mathsf{/.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left({w}^{2}\right)\right), \left(\frac{{r}^{2} \cdot \color{blue}{\left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}}{v - 1} - \frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)\right)\right) \]
            15. unpow2N/A

              \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{+.f64}\left(\mathsf{/.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \left(w \cdot w\right)\right), \left(\frac{{r}^{2} \cdot \left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}{\color{blue}{v - 1}} - \frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)\right)\right) \]
            16. *-lowering-*.f64N/A

              \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{+.f64}\left(\mathsf{/.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{*.f64}\left(w, w\right)\right), \left(\frac{{r}^{2} \cdot \left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}{\color{blue}{v - 1}} - \frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)\right)\right) \]
            17. sub-negN/A

              \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{+.f64}\left(\mathsf{/.f64}\left(\mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right), \mathsf{*.f64}\left(w, w\right)\right), \left(\frac{{r}^{2} \cdot \left(\frac{3}{8} + \frac{-1}{4} \cdot v\right)}{v - 1} + \color{blue}{\left(\mathsf{neg}\left(\frac{3}{2} \cdot \frac{1}{{w}^{2}}\right)\right)}\right)\right)\right) \]
          7. Simplified57.9%

            \[\leadsto \color{blue}{\left(w \cdot w\right) \cdot \left(\frac{\frac{2}{r \cdot r}}{w \cdot w} + \left(\frac{\left(r \cdot r\right) \cdot \left(0.375 + -0.25 \cdot v\right)}{v + -1} + \frac{-1.5}{w \cdot w}\right)\right)} \]
          8. Taylor expanded in w around 0

            \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \color{blue}{\left(\frac{2 \cdot \frac{1}{{r}^{2}} - \frac{3}{2}}{{w}^{2}}\right)}\right) \]
          9. Step-by-step derivation
            1. unpow2N/A

              \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \left(\frac{2 \cdot \frac{1}{{r}^{2}} - \frac{3}{2}}{w \cdot \color{blue}{w}}\right)\right) \]
            2. associate-/r*N/A

              \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \left(\frac{\frac{2 \cdot \frac{1}{{r}^{2}} - \frac{3}{2}}{w}}{\color{blue}{w}}\right)\right) \]
            3. /-lowering-/.f64N/A

              \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{/.f64}\left(\left(\frac{2 \cdot \frac{1}{{r}^{2}} - \frac{3}{2}}{w}\right), \color{blue}{w}\right)\right) \]
            4. /-lowering-/.f64N/A

              \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{/.f64}\left(\mathsf{/.f64}\left(\left(2 \cdot \frac{1}{{r}^{2}} - \frac{3}{2}\right), w\right), w\right)\right) \]
            5. sub-negN/A

              \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{/.f64}\left(\mathsf{/.f64}\left(\left(2 \cdot \frac{1}{{r}^{2}} + \left(\mathsf{neg}\left(\frac{3}{2}\right)\right)\right), w\right), w\right)\right) \]
            6. metadata-evalN/A

              \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{/.f64}\left(\mathsf{/.f64}\left(\left(2 \cdot \frac{1}{{r}^{2}} + \frac{-3}{2}\right), w\right), w\right)\right) \]
            7. +-commutativeN/A

              \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{/.f64}\left(\mathsf{/.f64}\left(\left(\frac{-3}{2} + 2 \cdot \frac{1}{{r}^{2}}\right), w\right), w\right)\right) \]
            8. +-lowering-+.f64N/A

              \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{/.f64}\left(\mathsf{/.f64}\left(\mathsf{+.f64}\left(\frac{-3}{2}, \left(2 \cdot \frac{1}{{r}^{2}}\right)\right), w\right), w\right)\right) \]
            9. associate-*r/N/A

              \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{/.f64}\left(\mathsf{/.f64}\left(\mathsf{+.f64}\left(\frac{-3}{2}, \left(\frac{2 \cdot 1}{{r}^{2}}\right)\right), w\right), w\right)\right) \]
            10. metadata-evalN/A

              \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{/.f64}\left(\mathsf{/.f64}\left(\mathsf{+.f64}\left(\frac{-3}{2}, \left(\frac{2}{{r}^{2}}\right)\right), w\right), w\right)\right) \]
            11. /-lowering-/.f64N/A

              \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{/.f64}\left(\mathsf{/.f64}\left(\mathsf{+.f64}\left(\frac{-3}{2}, \mathsf{/.f64}\left(2, \left({r}^{2}\right)\right)\right), w\right), w\right)\right) \]
            12. unpow2N/A

              \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{/.f64}\left(\mathsf{/.f64}\left(\mathsf{+.f64}\left(\frac{-3}{2}, \mathsf{/.f64}\left(2, \left(r \cdot r\right)\right)\right), w\right), w\right)\right) \]
            13. *-lowering-*.f6433.7%

              \[\leadsto \mathsf{*.f64}\left(\mathsf{*.f64}\left(w, w\right), \mathsf{/.f64}\left(\mathsf{/.f64}\left(\mathsf{+.f64}\left(\frac{-3}{2}, \mathsf{/.f64}\left(2, \mathsf{*.f64}\left(r, r\right)\right)\right), w\right), w\right)\right) \]
          10. Simplified33.7%

            \[\leadsto \left(w \cdot w\right) \cdot \color{blue}{\frac{\frac{-1.5 + \frac{2}{r \cdot r}}{w}}{w}} \]
          11. Taylor expanded in r around inf

            \[\leadsto \color{blue}{\frac{-3}{2}} \]
          12. Step-by-step derivation
            1. Simplified14.5%

              \[\leadsto \color{blue}{-1.5} \]
            2. Add Preprocessing

            Reproduce

            ?
            herbie shell --seed 2024155 
            (FPCore (v w r)
              :name "Rosa's TurbineBenchmark"
              :precision binary64
              (- (- (+ 3.0 (/ 2.0 (* r r))) (/ (* (* 0.125 (- 3.0 (* 2.0 v))) (* (* (* w w) r) r)) (- 1.0 v))) 4.5))