Trigonometry B

Percentage Accurate: 99.5% → 99.5%
Time: 12.3s
Alternatives: 6
Speedup: 0.9×

Specification

?
\[\begin{array}{l} \\ \begin{array}{l} t_0 := \tan x \cdot \tan x\\ \frac{1 - t\_0}{1 + t\_0} \end{array} \end{array} \]
(FPCore (x)
 :precision binary64
 (let* ((t_0 (* (tan x) (tan x)))) (/ (- 1.0 t_0) (+ 1.0 t_0))))
double code(double x) {
	double t_0 = tan(x) * tan(x);
	return (1.0 - t_0) / (1.0 + t_0);
}
real(8) function code(x)
    real(8), intent (in) :: x
    real(8) :: t_0
    t_0 = tan(x) * tan(x)
    code = (1.0d0 - t_0) / (1.0d0 + t_0)
end function
public static double code(double x) {
	double t_0 = Math.tan(x) * Math.tan(x);
	return (1.0 - t_0) / (1.0 + t_0);
}
def code(x):
	t_0 = math.tan(x) * math.tan(x)
	return (1.0 - t_0) / (1.0 + t_0)
function code(x)
	t_0 = Float64(tan(x) * tan(x))
	return Float64(Float64(1.0 - t_0) / Float64(1.0 + t_0))
end
function tmp = code(x)
	t_0 = tan(x) * tan(x);
	tmp = (1.0 - t_0) / (1.0 + t_0);
end
code[x_] := Block[{t$95$0 = N[(N[Tan[x], $MachinePrecision] * N[Tan[x], $MachinePrecision]), $MachinePrecision]}, N[(N[(1.0 - t$95$0), $MachinePrecision] / N[(1.0 + t$95$0), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \tan x \cdot \tan x\\
\frac{1 - t\_0}{1 + t\_0}
\end{array}
\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 6 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: 99.5% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \tan x \cdot \tan x\\ \frac{1 - t\_0}{1 + t\_0} \end{array} \end{array} \]
(FPCore (x)
 :precision binary64
 (let* ((t_0 (* (tan x) (tan x)))) (/ (- 1.0 t_0) (+ 1.0 t_0))))
double code(double x) {
	double t_0 = tan(x) * tan(x);
	return (1.0 - t_0) / (1.0 + t_0);
}
real(8) function code(x)
    real(8), intent (in) :: x
    real(8) :: t_0
    t_0 = tan(x) * tan(x)
    code = (1.0d0 - t_0) / (1.0d0 + t_0)
end function
public static double code(double x) {
	double t_0 = Math.tan(x) * Math.tan(x);
	return (1.0 - t_0) / (1.0 + t_0);
}
def code(x):
	t_0 = math.tan(x) * math.tan(x)
	return (1.0 - t_0) / (1.0 + t_0)
function code(x)
	t_0 = Float64(tan(x) * tan(x))
	return Float64(Float64(1.0 - t_0) / Float64(1.0 + t_0))
end
function tmp = code(x)
	t_0 = tan(x) * tan(x);
	tmp = (1.0 - t_0) / (1.0 + t_0);
end
code[x_] := Block[{t$95$0 = N[(N[Tan[x], $MachinePrecision] * N[Tan[x], $MachinePrecision]), $MachinePrecision]}, N[(N[(1.0 - t$95$0), $MachinePrecision] / N[(1.0 + t$95$0), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \tan x \cdot \tan x\\
\frac{1 - t\_0}{1 + t\_0}
\end{array}
\end{array}

Alternative 1: 99.5% accurate, 0.9× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \cos \left(x \cdot -2\right)\\ t_1 := 1 - t\_0\\ \frac{1 + \frac{t\_1}{-1 - t\_0}}{1 + \frac{t\_1}{1 + t\_0}} \end{array} \end{array} \]
(FPCore (x)
 :precision binary64
 (let* ((t_0 (cos (* x -2.0))) (t_1 (- 1.0 t_0)))
   (/ (+ 1.0 (/ t_1 (- -1.0 t_0))) (+ 1.0 (/ t_1 (+ 1.0 t_0))))))
double code(double x) {
	double t_0 = cos((x * -2.0));
	double t_1 = 1.0 - t_0;
	return (1.0 + (t_1 / (-1.0 - t_0))) / (1.0 + (t_1 / (1.0 + t_0)));
}
real(8) function code(x)
    real(8), intent (in) :: x
    real(8) :: t_0
    real(8) :: t_1
    t_0 = cos((x * (-2.0d0)))
    t_1 = 1.0d0 - t_0
    code = (1.0d0 + (t_1 / ((-1.0d0) - t_0))) / (1.0d0 + (t_1 / (1.0d0 + t_0)))
end function
public static double code(double x) {
	double t_0 = Math.cos((x * -2.0));
	double t_1 = 1.0 - t_0;
	return (1.0 + (t_1 / (-1.0 - t_0))) / (1.0 + (t_1 / (1.0 + t_0)));
}
def code(x):
	t_0 = math.cos((x * -2.0))
	t_1 = 1.0 - t_0
	return (1.0 + (t_1 / (-1.0 - t_0))) / (1.0 + (t_1 / (1.0 + t_0)))
function code(x)
	t_0 = cos(Float64(x * -2.0))
	t_1 = Float64(1.0 - t_0)
	return Float64(Float64(1.0 + Float64(t_1 / Float64(-1.0 - t_0))) / Float64(1.0 + Float64(t_1 / Float64(1.0 + t_0))))
end
function tmp = code(x)
	t_0 = cos((x * -2.0));
	t_1 = 1.0 - t_0;
	tmp = (1.0 + (t_1 / (-1.0 - t_0))) / (1.0 + (t_1 / (1.0 + t_0)));
end
code[x_] := Block[{t$95$0 = N[Cos[N[(x * -2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(1.0 - t$95$0), $MachinePrecision]}, N[(N[(1.0 + N[(t$95$1 / N[(-1.0 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(t$95$1 / N[(1.0 + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \cos \left(x \cdot -2\right)\\
t_1 := 1 - t\_0\\
\frac{1 + \frac{t\_1}{-1 - t\_0}}{1 + \frac{t\_1}{1 + t\_0}}
\end{array}
\end{array}
Derivation
  1. Initial program 99.6%

    \[\frac{1 - \tan x \cdot \tan x}{1 + \tan x \cdot \tan x} \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. tan-quotN/A

      \[\leadsto \frac{1 - \color{blue}{\frac{\sin x}{\cos x}} \cdot \tan x}{1 + \tan x \cdot \tan x} \]
    2. tan-quotN/A

      \[\leadsto \frac{1 - \frac{\sin x}{\cos x} \cdot \color{blue}{\frac{\sin x}{\cos x}}}{1 + \tan x \cdot \tan x} \]
    3. frac-timesN/A

      \[\leadsto \frac{1 - \color{blue}{\frac{\sin x \cdot \sin x}{\cos x \cdot \cos x}}}{1 + \tan x \cdot \tan x} \]
    4. lower-/.f64N/A

      \[\leadsto \frac{1 - \color{blue}{\frac{\sin x \cdot \sin x}{\cos x \cdot \cos x}}}{1 + \tan x \cdot \tan x} \]
    5. sqr-sin-aN/A

      \[\leadsto \frac{1 - \frac{\color{blue}{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}}{\cos x \cdot \cos x}}{1 + \tan x \cdot \tan x} \]
    6. lower--.f64N/A

      \[\leadsto \frac{1 - \frac{\color{blue}{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}}{\cos x \cdot \cos x}}{1 + \tan x \cdot \tan x} \]
    7. cos-2N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \color{blue}{\left(\cos x \cdot \cos x - \sin x \cdot \sin x\right)}}{\cos x \cdot \cos x}}{1 + \tan x \cdot \tan x} \]
    8. cos-sumN/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \color{blue}{\cos \left(x + x\right)}}{\cos x \cdot \cos x}}{1 + \tan x \cdot \tan x} \]
    9. lower-*.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \color{blue}{\frac{1}{2} \cdot \cos \left(x + x\right)}}{\cos x \cdot \cos x}}{1 + \tan x \cdot \tan x} \]
    10. lower-cos.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \color{blue}{\cos \left(x + x\right)}}{\cos x \cdot \cos x}}{1 + \tan x \cdot \tan x} \]
    11. lower-+.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \color{blue}{\left(x + x\right)}}{\cos x \cdot \cos x}}{1 + \tan x \cdot \tan x} \]
    12. sqr-cos-aN/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\color{blue}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}}}{1 + \tan x \cdot \tan x} \]
    13. lower-+.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\color{blue}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}}}{1 + \tan x \cdot \tan x} \]
    14. cos-2N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \color{blue}{\left(\cos x \cdot \cos x - \sin x \cdot \sin x\right)}}}{1 + \tan x \cdot \tan x} \]
    15. cos-sumN/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \color{blue}{\cos \left(x + x\right)}}}{1 + \tan x \cdot \tan x} \]
    16. lower-*.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \color{blue}{\frac{1}{2} \cdot \cos \left(x + x\right)}}}{1 + \tan x \cdot \tan x} \]
    17. lower-cos.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \color{blue}{\cos \left(x + x\right)}}}{1 + \tan x \cdot \tan x} \]
    18. lower-+.f6499.0

      \[\leadsto \frac{1 - \frac{0.5 - 0.5 \cdot \cos \left(x + x\right)}{0.5 + 0.5 \cdot \cos \color{blue}{\left(x + x\right)}}}{1 + \tan x \cdot \tan x} \]
  4. Applied egg-rr99.0%

    \[\leadsto \frac{1 - \color{blue}{\frac{0.5 - 0.5 \cdot \cos \left(x + x\right)}{0.5 + 0.5 \cdot \cos \left(x + x\right)}}}{1 + \tan x \cdot \tan x} \]
  5. Step-by-step derivation
    1. tan-quotN/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \color{blue}{\frac{\sin x}{\cos x}} \cdot \tan x} \]
    2. lift-sin.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \frac{\color{blue}{\sin x}}{\cos x} \cdot \tan x} \]
    3. tan-quotN/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \frac{\sin x}{\cos x} \cdot \color{blue}{\frac{\sin x}{\cos x}}} \]
    4. lift-sin.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \frac{\sin x}{\cos x} \cdot \frac{\color{blue}{\sin x}}{\cos x}} \]
    5. frac-timesN/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \color{blue}{\frac{\sin x \cdot \sin x}{\cos x \cdot \cos x}}} \]
    6. lift-sin.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \frac{\color{blue}{\sin x} \cdot \sin x}{\cos x \cdot \cos x}} \]
    7. lift-sin.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \frac{\sin x \cdot \color{blue}{\sin x}}{\cos x \cdot \cos x}} \]
    8. sqr-sin-aN/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \frac{\color{blue}{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}}{\cos x \cdot \cos x}} \]
    9. count-2N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \color{blue}{\left(x + x\right)}}{\cos x \cdot \cos x}} \]
    10. lift-+.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \color{blue}{\left(x + x\right)}}{\cos x \cdot \cos x}} \]
    11. lift-cos.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \frac{\frac{1}{2} - \frac{1}{2} \cdot \color{blue}{\cos \left(x + x\right)}}{\cos x \cdot \cos x}} \]
    12. lift-*.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \frac{\frac{1}{2} - \color{blue}{\frac{1}{2} \cdot \cos \left(x + x\right)}}{\cos x \cdot \cos x}} \]
    13. lift--.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \frac{\color{blue}{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}}{\cos x \cdot \cos x}} \]
    14. sqr-cos-aN/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\color{blue}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}}} \]
    15. count-2N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \color{blue}{\left(x + x\right)}}} \]
    16. lift-+.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \color{blue}{\left(x + x\right)}}} \]
    17. lift-cos.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \color{blue}{\cos \left(x + x\right)}}} \]
    18. lift-*.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \color{blue}{\frac{1}{2} \cdot \cos \left(x + x\right)}}} \]
    19. lift-+.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\color{blue}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}} \]
    20. lift-/.f6499.7

      \[\leadsto \frac{1 - \frac{0.5 - 0.5 \cdot \cos \left(x + x\right)}{0.5 + 0.5 \cdot \cos \left(x + x\right)}}{1 + \color{blue}{\frac{0.5 - 0.5 \cdot \cos \left(x + x\right)}{0.5 + 0.5 \cdot \cos \left(x + x\right)}}} \]
  6. Applied egg-rr99.7%

    \[\leadsto \frac{1 - \frac{0.5 - 0.5 \cdot \cos \left(x + x\right)}{0.5 + 0.5 \cdot \cos \left(x + x\right)}}{1 + \color{blue}{\frac{\mathsf{fma}\left(\cos \left(x + x\right), -0.5, 0.5\right)}{\mathsf{fma}\left(0.5, \cos \left(x + x\right), 0.5\right)}}} \]
  7. Taylor expanded in x around inf

    \[\leadsto \frac{1 - \color{blue}{\frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}}}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\mathsf{fma}\left(\frac{1}{2}, \cos \left(x + x\right), \frac{1}{2}\right)}} \]
  8. Step-by-step derivation
    1. div-subN/A

      \[\leadsto \frac{1 - \color{blue}{\left(\frac{\frac{1}{2}}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)} - \frac{\frac{1}{2} \cdot \cos \left(2 \cdot x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}\right)}}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\mathsf{fma}\left(\frac{1}{2}, \cos \left(x + x\right), \frac{1}{2}\right)}} \]
    2. *-commutativeN/A

      \[\leadsto \frac{1 - \left(\frac{\frac{1}{2}}{\frac{1}{2} + \color{blue}{\cos \left(2 \cdot x\right) \cdot \frac{1}{2}}} - \frac{\frac{1}{2} \cdot \cos \left(2 \cdot x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}\right)}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\mathsf{fma}\left(\frac{1}{2}, \cos \left(x + x\right), \frac{1}{2}\right)}} \]
    3. metadata-evalN/A

      \[\leadsto \frac{1 - \left(\frac{\frac{1}{2}}{\frac{1}{2} + \cos \left(\color{blue}{\left(\mathsf{neg}\left(-2\right)\right)} \cdot x\right) \cdot \frac{1}{2}} - \frac{\frac{1}{2} \cdot \cos \left(2 \cdot x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}\right)}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\mathsf{fma}\left(\frac{1}{2}, \cos \left(x + x\right), \frac{1}{2}\right)}} \]
    4. distribute-lft-neg-inN/A

      \[\leadsto \frac{1 - \left(\frac{\frac{1}{2}}{\frac{1}{2} + \cos \color{blue}{\left(\mathsf{neg}\left(-2 \cdot x\right)\right)} \cdot \frac{1}{2}} - \frac{\frac{1}{2} \cdot \cos \left(2 \cdot x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}\right)}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\mathsf{fma}\left(\frac{1}{2}, \cos \left(x + x\right), \frac{1}{2}\right)}} \]
    5. distribute-rgt1-inN/A

      \[\leadsto \frac{1 - \left(\frac{\frac{1}{2}}{\color{blue}{\left(\cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right) + 1\right) \cdot \frac{1}{2}}} - \frac{\frac{1}{2} \cdot \cos \left(2 \cdot x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}\right)}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\mathsf{fma}\left(\frac{1}{2}, \cos \left(x + x\right), \frac{1}{2}\right)}} \]
    6. *-commutativeN/A

      \[\leadsto \frac{1 - \left(\frac{\frac{1}{2}}{\color{blue}{\frac{1}{2} \cdot \left(\cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right) + 1\right)}} - \frac{\frac{1}{2} \cdot \cos \left(2 \cdot x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}\right)}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\mathsf{fma}\left(\frac{1}{2}, \cos \left(x + x\right), \frac{1}{2}\right)}} \]
    7. associate-/r*N/A

      \[\leadsto \frac{1 - \left(\color{blue}{\frac{\frac{\frac{1}{2}}{\frac{1}{2}}}{\cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right) + 1}} - \frac{\frac{1}{2} \cdot \cos \left(2 \cdot x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}\right)}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\mathsf{fma}\left(\frac{1}{2}, \cos \left(x + x\right), \frac{1}{2}\right)}} \]
    8. metadata-evalN/A

      \[\leadsto \frac{1 - \left(\frac{\color{blue}{1}}{\cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right) + 1} - \frac{\frac{1}{2} \cdot \cos \left(2 \cdot x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}\right)}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\mathsf{fma}\left(\frac{1}{2}, \cos \left(x + x\right), \frac{1}{2}\right)}} \]
    9. *-commutativeN/A

      \[\leadsto \frac{1 - \left(\frac{1}{\cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right) + 1} - \frac{\color{blue}{\cos \left(2 \cdot x\right) \cdot \frac{1}{2}}}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}\right)}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\mathsf{fma}\left(\frac{1}{2}, \cos \left(x + x\right), \frac{1}{2}\right)}} \]
    10. metadata-evalN/A

      \[\leadsto \frac{1 - \left(\frac{1}{\cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right) + 1} - \frac{\cos \left(\color{blue}{\left(\mathsf{neg}\left(-2\right)\right)} \cdot x\right) \cdot \frac{1}{2}}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}\right)}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\mathsf{fma}\left(\frac{1}{2}, \cos \left(x + x\right), \frac{1}{2}\right)}} \]
    11. distribute-lft-neg-inN/A

      \[\leadsto \frac{1 - \left(\frac{1}{\cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right) + 1} - \frac{\cos \color{blue}{\left(\mathsf{neg}\left(-2 \cdot x\right)\right)} \cdot \frac{1}{2}}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}\right)}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\mathsf{fma}\left(\frac{1}{2}, \cos \left(x + x\right), \frac{1}{2}\right)}} \]
    12. *-commutativeN/A

      \[\leadsto \frac{1 - \left(\frac{1}{\cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right) + 1} - \frac{\cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right) \cdot \frac{1}{2}}{\frac{1}{2} + \color{blue}{\cos \left(2 \cdot x\right) \cdot \frac{1}{2}}}\right)}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\mathsf{fma}\left(\frac{1}{2}, \cos \left(x + x\right), \frac{1}{2}\right)}} \]
    13. metadata-evalN/A

      \[\leadsto \frac{1 - \left(\frac{1}{\cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right) + 1} - \frac{\cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right) \cdot \frac{1}{2}}{\frac{1}{2} + \cos \left(\color{blue}{\left(\mathsf{neg}\left(-2\right)\right)} \cdot x\right) \cdot \frac{1}{2}}\right)}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\mathsf{fma}\left(\frac{1}{2}, \cos \left(x + x\right), \frac{1}{2}\right)}} \]
    14. distribute-lft-neg-inN/A

      \[\leadsto \frac{1 - \left(\frac{1}{\cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right) + 1} - \frac{\cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right) \cdot \frac{1}{2}}{\frac{1}{2} + \cos \color{blue}{\left(\mathsf{neg}\left(-2 \cdot x\right)\right)} \cdot \frac{1}{2}}\right)}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\mathsf{fma}\left(\frac{1}{2}, \cos \left(x + x\right), \frac{1}{2}\right)}} \]
    15. distribute-rgt1-inN/A

      \[\leadsto \frac{1 - \left(\frac{1}{\cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right) + 1} - \frac{\cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right) \cdot \frac{1}{2}}{\color{blue}{\left(\cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right) + 1\right) \cdot \frac{1}{2}}}\right)}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\mathsf{fma}\left(\frac{1}{2}, \cos \left(x + x\right), \frac{1}{2}\right)}} \]
  9. Simplified99.7%

    \[\leadsto \frac{1 - \color{blue}{\frac{1 - \cos \left(x \cdot -2\right)}{1 + \cos \left(x \cdot -2\right)}}}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), -0.5, 0.5\right)}{\mathsf{fma}\left(0.5, \cos \left(x + x\right), 0.5\right)}} \]
  10. Taylor expanded in x around inf

    \[\leadsto \frac{1 - \frac{1 - \cos \left(x \cdot -2\right)}{1 + \cos \left(x \cdot -2\right)}}{1 + \color{blue}{\frac{\frac{1}{2} + \frac{-1}{2} \cdot \cos \left(2 \cdot x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}}} \]
  11. Step-by-step derivation
    1. metadata-evalN/A

      \[\leadsto \frac{1 - \frac{1 - \cos \left(x \cdot -2\right)}{1 + \cos \left(x \cdot -2\right)}}{1 + \frac{\frac{1}{2} + \frac{-1}{2} \cdot \cos \left(\color{blue}{\left(\mathsf{neg}\left(-2\right)\right)} \cdot x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}} \]
    2. distribute-lft-neg-inN/A

      \[\leadsto \frac{1 - \frac{1 - \cos \left(x \cdot -2\right)}{1 + \cos \left(x \cdot -2\right)}}{1 + \frac{\frac{1}{2} + \frac{-1}{2} \cdot \cos \color{blue}{\left(\mathsf{neg}\left(-2 \cdot x\right)\right)}}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}} \]
    3. metadata-evalN/A

      \[\leadsto \frac{1 - \frac{1 - \cos \left(x \cdot -2\right)}{1 + \cos \left(x \cdot -2\right)}}{1 + \frac{\frac{1}{2} + \frac{-1}{2} \cdot \cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right)}{\color{blue}{1 \cdot \frac{1}{2}} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}} \]
    4. *-commutativeN/A

      \[\leadsto \frac{1 - \frac{1 - \cos \left(x \cdot -2\right)}{1 + \cos \left(x \cdot -2\right)}}{1 + \frac{\frac{1}{2} + \frac{-1}{2} \cdot \cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right)}{1 \cdot \frac{1}{2} + \color{blue}{\cos \left(2 \cdot x\right) \cdot \frac{1}{2}}}} \]
    5. metadata-evalN/A

      \[\leadsto \frac{1 - \frac{1 - \cos \left(x \cdot -2\right)}{1 + \cos \left(x \cdot -2\right)}}{1 + \frac{\frac{1}{2} + \frac{-1}{2} \cdot \cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right)}{1 \cdot \frac{1}{2} + \cos \left(\color{blue}{\left(\mathsf{neg}\left(-2\right)\right)} \cdot x\right) \cdot \frac{1}{2}}} \]
    6. distribute-lft-neg-inN/A

      \[\leadsto \frac{1 - \frac{1 - \cos \left(x \cdot -2\right)}{1 + \cos \left(x \cdot -2\right)}}{1 + \frac{\frac{1}{2} + \frac{-1}{2} \cdot \cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right)}{1 \cdot \frac{1}{2} + \cos \color{blue}{\left(\mathsf{neg}\left(-2 \cdot x\right)\right)} \cdot \frac{1}{2}}} \]
    7. distribute-rgt-inN/A

      \[\leadsto \frac{1 - \frac{1 - \cos \left(x \cdot -2\right)}{1 + \cos \left(x \cdot -2\right)}}{1 + \frac{\frac{1}{2} + \frac{-1}{2} \cdot \cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right)}{\color{blue}{\frac{1}{2} \cdot \left(1 + \cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right)\right)}}} \]
    8. cos-negN/A

      \[\leadsto \frac{1 - \frac{1 - \cos \left(x \cdot -2\right)}{1 + \cos \left(x \cdot -2\right)}}{1 + \frac{\frac{1}{2} + \frac{-1}{2} \cdot \cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right)}{\frac{1}{2} \cdot \left(1 + \color{blue}{\cos \left(-2 \cdot x\right)}\right)}} \]
    9. associate-/r*N/A

      \[\leadsto \frac{1 - \frac{1 - \cos \left(x \cdot -2\right)}{1 + \cos \left(x \cdot -2\right)}}{1 + \color{blue}{\frac{\frac{\frac{1}{2} + \frac{-1}{2} \cdot \cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right)}{\frac{1}{2}}}{1 + \cos \left(-2 \cdot x\right)}}} \]
  12. Simplified99.7%

    \[\leadsto \frac{1 - \frac{1 - \cos \left(x \cdot -2\right)}{1 + \cos \left(x \cdot -2\right)}}{1 + \color{blue}{\frac{1 - \cos \left(x \cdot -2\right)}{1 + \cos \left(x \cdot -2\right)}}} \]
  13. Final simplification99.7%

    \[\leadsto \frac{1 + \frac{1 - \cos \left(x \cdot -2\right)}{-1 - \cos \left(x \cdot -2\right)}}{1 + \frac{1 - \cos \left(x \cdot -2\right)}{1 + \cos \left(x \cdot -2\right)}} \]
  14. Add Preprocessing

Alternative 2: 99.5% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := {\tan x}^{2}\\ \frac{1 - t\_0}{1 + t\_0} \end{array} \end{array} \]
(FPCore (x)
 :precision binary64
 (let* ((t_0 (pow (tan x) 2.0))) (/ (- 1.0 t_0) (+ 1.0 t_0))))
double code(double x) {
	double t_0 = pow(tan(x), 2.0);
	return (1.0 - t_0) / (1.0 + t_0);
}
real(8) function code(x)
    real(8), intent (in) :: x
    real(8) :: t_0
    t_0 = tan(x) ** 2.0d0
    code = (1.0d0 - t_0) / (1.0d0 + t_0)
end function
public static double code(double x) {
	double t_0 = Math.pow(Math.tan(x), 2.0);
	return (1.0 - t_0) / (1.0 + t_0);
}
def code(x):
	t_0 = math.pow(math.tan(x), 2.0)
	return (1.0 - t_0) / (1.0 + t_0)
function code(x)
	t_0 = tan(x) ^ 2.0
	return Float64(Float64(1.0 - t_0) / Float64(1.0 + t_0))
end
function tmp = code(x)
	t_0 = tan(x) ^ 2.0;
	tmp = (1.0 - t_0) / (1.0 + t_0);
end
code[x_] := Block[{t$95$0 = N[Power[N[Tan[x], $MachinePrecision], 2.0], $MachinePrecision]}, N[(N[(1.0 - t$95$0), $MachinePrecision] / N[(1.0 + t$95$0), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}

\\
\begin{array}{l}
t_0 := {\tan x}^{2}\\
\frac{1 - t\_0}{1 + t\_0}
\end{array}
\end{array}
Derivation
  1. Initial program 99.6%

    \[\frac{1 - \tan x \cdot \tan x}{1 + \tan x \cdot \tan x} \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. lift-tan.f64N/A

      \[\leadsto \frac{1 - \color{blue}{\tan x} \cdot \tan x}{1 + \tan x \cdot \tan x} \]
    2. lift-tan.f64N/A

      \[\leadsto \frac{1 - \tan x \cdot \color{blue}{\tan x}}{1 + \tan x \cdot \tan x} \]
    3. lift-*.f64N/A

      \[\leadsto \frac{1 - \color{blue}{\tan x \cdot \tan x}}{1 + \tan x \cdot \tan x} \]
    4. lift--.f6499.6

      \[\leadsto \frac{\color{blue}{1 - \tan x \cdot \tan x}}{1 + \tan x \cdot \tan x} \]
    5. lift-*.f64N/A

      \[\leadsto \frac{1 - \color{blue}{\tan x \cdot \tan x}}{1 + \tan x \cdot \tan x} \]
    6. pow2N/A

      \[\leadsto \frac{1 - \color{blue}{{\tan x}^{2}}}{1 + \tan x \cdot \tan x} \]
    7. lower-pow.f6499.6

      \[\leadsto \frac{1 - \color{blue}{{\tan x}^{2}}}{1 + \tan x \cdot \tan x} \]
  4. Applied egg-rr99.6%

    \[\leadsto \frac{\color{blue}{1 - {\tan x}^{2}}}{1 + \tan x \cdot \tan x} \]
  5. Applied egg-rr99.6%

    \[\leadsto \color{blue}{\frac{1 - {\tan x}^{2}}{{\tan x}^{2} + 1}} \]
  6. Final simplification99.6%

    \[\leadsto \frac{1 - {\tan x}^{2}}{1 + {\tan x}^{2}} \]
  7. Add Preprocessing

Alternative 3: 61.2% accurate, 1.2× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \cos \left(x \cdot -2\right)\\ \frac{1 + \frac{1 - t\_0}{-1 - t\_0}}{1 + \mathsf{fma}\left(\cos \left(x + x\right), -0.5, 0.5\right)} \end{array} \end{array} \]
(FPCore (x)
 :precision binary64
 (let* ((t_0 (cos (* x -2.0))))
   (/
    (+ 1.0 (/ (- 1.0 t_0) (- -1.0 t_0)))
    (+ 1.0 (fma (cos (+ x x)) -0.5 0.5)))))
double code(double x) {
	double t_0 = cos((x * -2.0));
	return (1.0 + ((1.0 - t_0) / (-1.0 - t_0))) / (1.0 + fma(cos((x + x)), -0.5, 0.5));
}
function code(x)
	t_0 = cos(Float64(x * -2.0))
	return Float64(Float64(1.0 + Float64(Float64(1.0 - t_0) / Float64(-1.0 - t_0))) / Float64(1.0 + fma(cos(Float64(x + x)), -0.5, 0.5)))
end
code[x_] := Block[{t$95$0 = N[Cos[N[(x * -2.0), $MachinePrecision]], $MachinePrecision]}, N[(N[(1.0 + N[(N[(1.0 - t$95$0), $MachinePrecision] / N[(-1.0 - t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[Cos[N[(x + x), $MachinePrecision]], $MachinePrecision] * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \cos \left(x \cdot -2\right)\\
\frac{1 + \frac{1 - t\_0}{-1 - t\_0}}{1 + \mathsf{fma}\left(\cos \left(x + x\right), -0.5, 0.5\right)}
\end{array}
\end{array}
Derivation
  1. Initial program 99.6%

    \[\frac{1 - \tan x \cdot \tan x}{1 + \tan x \cdot \tan x} \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. tan-quotN/A

      \[\leadsto \frac{1 - \color{blue}{\frac{\sin x}{\cos x}} \cdot \tan x}{1 + \tan x \cdot \tan x} \]
    2. tan-quotN/A

      \[\leadsto \frac{1 - \frac{\sin x}{\cos x} \cdot \color{blue}{\frac{\sin x}{\cos x}}}{1 + \tan x \cdot \tan x} \]
    3. frac-timesN/A

      \[\leadsto \frac{1 - \color{blue}{\frac{\sin x \cdot \sin x}{\cos x \cdot \cos x}}}{1 + \tan x \cdot \tan x} \]
    4. lower-/.f64N/A

      \[\leadsto \frac{1 - \color{blue}{\frac{\sin x \cdot \sin x}{\cos x \cdot \cos x}}}{1 + \tan x \cdot \tan x} \]
    5. sqr-sin-aN/A

      \[\leadsto \frac{1 - \frac{\color{blue}{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}}{\cos x \cdot \cos x}}{1 + \tan x \cdot \tan x} \]
    6. lower--.f64N/A

      \[\leadsto \frac{1 - \frac{\color{blue}{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}}{\cos x \cdot \cos x}}{1 + \tan x \cdot \tan x} \]
    7. cos-2N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \color{blue}{\left(\cos x \cdot \cos x - \sin x \cdot \sin x\right)}}{\cos x \cdot \cos x}}{1 + \tan x \cdot \tan x} \]
    8. cos-sumN/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \color{blue}{\cos \left(x + x\right)}}{\cos x \cdot \cos x}}{1 + \tan x \cdot \tan x} \]
    9. lower-*.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \color{blue}{\frac{1}{2} \cdot \cos \left(x + x\right)}}{\cos x \cdot \cos x}}{1 + \tan x \cdot \tan x} \]
    10. lower-cos.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \color{blue}{\cos \left(x + x\right)}}{\cos x \cdot \cos x}}{1 + \tan x \cdot \tan x} \]
    11. lower-+.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \color{blue}{\left(x + x\right)}}{\cos x \cdot \cos x}}{1 + \tan x \cdot \tan x} \]
    12. sqr-cos-aN/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\color{blue}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}}}{1 + \tan x \cdot \tan x} \]
    13. lower-+.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\color{blue}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}}}{1 + \tan x \cdot \tan x} \]
    14. cos-2N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \color{blue}{\left(\cos x \cdot \cos x - \sin x \cdot \sin x\right)}}}{1 + \tan x \cdot \tan x} \]
    15. cos-sumN/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \color{blue}{\cos \left(x + x\right)}}}{1 + \tan x \cdot \tan x} \]
    16. lower-*.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \color{blue}{\frac{1}{2} \cdot \cos \left(x + x\right)}}}{1 + \tan x \cdot \tan x} \]
    17. lower-cos.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \color{blue}{\cos \left(x + x\right)}}}{1 + \tan x \cdot \tan x} \]
    18. lower-+.f6499.0

      \[\leadsto \frac{1 - \frac{0.5 - 0.5 \cdot \cos \left(x + x\right)}{0.5 + 0.5 \cdot \cos \color{blue}{\left(x + x\right)}}}{1 + \tan x \cdot \tan x} \]
  4. Applied egg-rr99.0%

    \[\leadsto \frac{1 - \color{blue}{\frac{0.5 - 0.5 \cdot \cos \left(x + x\right)}{0.5 + 0.5 \cdot \cos \left(x + x\right)}}}{1 + \tan x \cdot \tan x} \]
  5. Step-by-step derivation
    1. tan-quotN/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \color{blue}{\frac{\sin x}{\cos x}} \cdot \tan x} \]
    2. lift-sin.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \frac{\color{blue}{\sin x}}{\cos x} \cdot \tan x} \]
    3. tan-quotN/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \frac{\sin x}{\cos x} \cdot \color{blue}{\frac{\sin x}{\cos x}}} \]
    4. lift-sin.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \frac{\sin x}{\cos x} \cdot \frac{\color{blue}{\sin x}}{\cos x}} \]
    5. frac-timesN/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \color{blue}{\frac{\sin x \cdot \sin x}{\cos x \cdot \cos x}}} \]
    6. lift-sin.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \frac{\color{blue}{\sin x} \cdot \sin x}{\cos x \cdot \cos x}} \]
    7. lift-sin.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \frac{\sin x \cdot \color{blue}{\sin x}}{\cos x \cdot \cos x}} \]
    8. sqr-sin-aN/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \frac{\color{blue}{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}}{\cos x \cdot \cos x}} \]
    9. count-2N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \color{blue}{\left(x + x\right)}}{\cos x \cdot \cos x}} \]
    10. lift-+.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \color{blue}{\left(x + x\right)}}{\cos x \cdot \cos x}} \]
    11. lift-cos.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \frac{\frac{1}{2} - \frac{1}{2} \cdot \color{blue}{\cos \left(x + x\right)}}{\cos x \cdot \cos x}} \]
    12. lift-*.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \frac{\frac{1}{2} - \color{blue}{\frac{1}{2} \cdot \cos \left(x + x\right)}}{\cos x \cdot \cos x}} \]
    13. lift--.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \frac{\color{blue}{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}}{\cos x \cdot \cos x}} \]
    14. sqr-cos-aN/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\color{blue}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}}} \]
    15. count-2N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \color{blue}{\left(x + x\right)}}} \]
    16. lift-+.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \color{blue}{\left(x + x\right)}}} \]
    17. lift-cos.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \color{blue}{\cos \left(x + x\right)}}} \]
    18. lift-*.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \color{blue}{\frac{1}{2} \cdot \cos \left(x + x\right)}}} \]
    19. lift-+.f64N/A

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}{1 + \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\color{blue}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(x + x\right)}}} \]
    20. lift-/.f6499.7

      \[\leadsto \frac{1 - \frac{0.5 - 0.5 \cdot \cos \left(x + x\right)}{0.5 + 0.5 \cdot \cos \left(x + x\right)}}{1 + \color{blue}{\frac{0.5 - 0.5 \cdot \cos \left(x + x\right)}{0.5 + 0.5 \cdot \cos \left(x + x\right)}}} \]
  6. Applied egg-rr99.7%

    \[\leadsto \frac{1 - \frac{0.5 - 0.5 \cdot \cos \left(x + x\right)}{0.5 + 0.5 \cdot \cos \left(x + x\right)}}{1 + \color{blue}{\frac{\mathsf{fma}\left(\cos \left(x + x\right), -0.5, 0.5\right)}{\mathsf{fma}\left(0.5, \cos \left(x + x\right), 0.5\right)}}} \]
  7. Taylor expanded in x around inf

    \[\leadsto \frac{1 - \color{blue}{\frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}}}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\mathsf{fma}\left(\frac{1}{2}, \cos \left(x + x\right), \frac{1}{2}\right)}} \]
  8. Step-by-step derivation
    1. div-subN/A

      \[\leadsto \frac{1 - \color{blue}{\left(\frac{\frac{1}{2}}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)} - \frac{\frac{1}{2} \cdot \cos \left(2 \cdot x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}\right)}}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\mathsf{fma}\left(\frac{1}{2}, \cos \left(x + x\right), \frac{1}{2}\right)}} \]
    2. *-commutativeN/A

      \[\leadsto \frac{1 - \left(\frac{\frac{1}{2}}{\frac{1}{2} + \color{blue}{\cos \left(2 \cdot x\right) \cdot \frac{1}{2}}} - \frac{\frac{1}{2} \cdot \cos \left(2 \cdot x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}\right)}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\mathsf{fma}\left(\frac{1}{2}, \cos \left(x + x\right), \frac{1}{2}\right)}} \]
    3. metadata-evalN/A

      \[\leadsto \frac{1 - \left(\frac{\frac{1}{2}}{\frac{1}{2} + \cos \left(\color{blue}{\left(\mathsf{neg}\left(-2\right)\right)} \cdot x\right) \cdot \frac{1}{2}} - \frac{\frac{1}{2} \cdot \cos \left(2 \cdot x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}\right)}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\mathsf{fma}\left(\frac{1}{2}, \cos \left(x + x\right), \frac{1}{2}\right)}} \]
    4. distribute-lft-neg-inN/A

      \[\leadsto \frac{1 - \left(\frac{\frac{1}{2}}{\frac{1}{2} + \cos \color{blue}{\left(\mathsf{neg}\left(-2 \cdot x\right)\right)} \cdot \frac{1}{2}} - \frac{\frac{1}{2} \cdot \cos \left(2 \cdot x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}\right)}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\mathsf{fma}\left(\frac{1}{2}, \cos \left(x + x\right), \frac{1}{2}\right)}} \]
    5. distribute-rgt1-inN/A

      \[\leadsto \frac{1 - \left(\frac{\frac{1}{2}}{\color{blue}{\left(\cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right) + 1\right) \cdot \frac{1}{2}}} - \frac{\frac{1}{2} \cdot \cos \left(2 \cdot x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}\right)}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\mathsf{fma}\left(\frac{1}{2}, \cos \left(x + x\right), \frac{1}{2}\right)}} \]
    6. *-commutativeN/A

      \[\leadsto \frac{1 - \left(\frac{\frac{1}{2}}{\color{blue}{\frac{1}{2} \cdot \left(\cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right) + 1\right)}} - \frac{\frac{1}{2} \cdot \cos \left(2 \cdot x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}\right)}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\mathsf{fma}\left(\frac{1}{2}, \cos \left(x + x\right), \frac{1}{2}\right)}} \]
    7. associate-/r*N/A

      \[\leadsto \frac{1 - \left(\color{blue}{\frac{\frac{\frac{1}{2}}{\frac{1}{2}}}{\cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right) + 1}} - \frac{\frac{1}{2} \cdot \cos \left(2 \cdot x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}\right)}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\mathsf{fma}\left(\frac{1}{2}, \cos \left(x + x\right), \frac{1}{2}\right)}} \]
    8. metadata-evalN/A

      \[\leadsto \frac{1 - \left(\frac{\color{blue}{1}}{\cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right) + 1} - \frac{\frac{1}{2} \cdot \cos \left(2 \cdot x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}\right)}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\mathsf{fma}\left(\frac{1}{2}, \cos \left(x + x\right), \frac{1}{2}\right)}} \]
    9. *-commutativeN/A

      \[\leadsto \frac{1 - \left(\frac{1}{\cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right) + 1} - \frac{\color{blue}{\cos \left(2 \cdot x\right) \cdot \frac{1}{2}}}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}\right)}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\mathsf{fma}\left(\frac{1}{2}, \cos \left(x + x\right), \frac{1}{2}\right)}} \]
    10. metadata-evalN/A

      \[\leadsto \frac{1 - \left(\frac{1}{\cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right) + 1} - \frac{\cos \left(\color{blue}{\left(\mathsf{neg}\left(-2\right)\right)} \cdot x\right) \cdot \frac{1}{2}}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}\right)}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\mathsf{fma}\left(\frac{1}{2}, \cos \left(x + x\right), \frac{1}{2}\right)}} \]
    11. distribute-lft-neg-inN/A

      \[\leadsto \frac{1 - \left(\frac{1}{\cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right) + 1} - \frac{\cos \color{blue}{\left(\mathsf{neg}\left(-2 \cdot x\right)\right)} \cdot \frac{1}{2}}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}\right)}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\mathsf{fma}\left(\frac{1}{2}, \cos \left(x + x\right), \frac{1}{2}\right)}} \]
    12. *-commutativeN/A

      \[\leadsto \frac{1 - \left(\frac{1}{\cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right) + 1} - \frac{\cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right) \cdot \frac{1}{2}}{\frac{1}{2} + \color{blue}{\cos \left(2 \cdot x\right) \cdot \frac{1}{2}}}\right)}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\mathsf{fma}\left(\frac{1}{2}, \cos \left(x + x\right), \frac{1}{2}\right)}} \]
    13. metadata-evalN/A

      \[\leadsto \frac{1 - \left(\frac{1}{\cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right) + 1} - \frac{\cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right) \cdot \frac{1}{2}}{\frac{1}{2} + \cos \left(\color{blue}{\left(\mathsf{neg}\left(-2\right)\right)} \cdot x\right) \cdot \frac{1}{2}}\right)}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\mathsf{fma}\left(\frac{1}{2}, \cos \left(x + x\right), \frac{1}{2}\right)}} \]
    14. distribute-lft-neg-inN/A

      \[\leadsto \frac{1 - \left(\frac{1}{\cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right) + 1} - \frac{\cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right) \cdot \frac{1}{2}}{\frac{1}{2} + \cos \color{blue}{\left(\mathsf{neg}\left(-2 \cdot x\right)\right)} \cdot \frac{1}{2}}\right)}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\mathsf{fma}\left(\frac{1}{2}, \cos \left(x + x\right), \frac{1}{2}\right)}} \]
    15. distribute-rgt1-inN/A

      \[\leadsto \frac{1 - \left(\frac{1}{\cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right) + 1} - \frac{\cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right) \cdot \frac{1}{2}}{\color{blue}{\left(\cos \left(\mathsf{neg}\left(-2 \cdot x\right)\right) + 1\right) \cdot \frac{1}{2}}}\right)}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\mathsf{fma}\left(\frac{1}{2}, \cos \left(x + x\right), \frac{1}{2}\right)}} \]
  9. Simplified99.7%

    \[\leadsto \frac{1 - \color{blue}{\frac{1 - \cos \left(x \cdot -2\right)}{1 + \cos \left(x \cdot -2\right)}}}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), -0.5, 0.5\right)}{\mathsf{fma}\left(0.5, \cos \left(x + x\right), 0.5\right)}} \]
  10. Taylor expanded in x around 0

    \[\leadsto \frac{1 - \frac{1 - \cos \left(x \cdot -2\right)}{1 + \cos \left(x \cdot -2\right)}}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\color{blue}{1}}} \]
  11. Step-by-step derivation
    1. Simplified58.4%

      \[\leadsto \frac{1 - \frac{1 - \cos \left(x \cdot -2\right)}{1 + \cos \left(x \cdot -2\right)}}{1 + \frac{\mathsf{fma}\left(\cos \left(x + x\right), -0.5, 0.5\right)}{\color{blue}{1}}} \]
    2. Final simplification58.4%

      \[\leadsto \frac{1 + \frac{1 - \cos \left(x \cdot -2\right)}{-1 - \cos \left(x \cdot -2\right)}}{1 + \mathsf{fma}\left(\cos \left(x + x\right), -0.5, 0.5\right)} \]
    3. Add Preprocessing

    Alternative 4: 55.3% accurate, 2.0× speedup?

    \[\begin{array}{l} \\ \frac{1}{1 + {\tan x}^{2}} \end{array} \]
    (FPCore (x) :precision binary64 (/ 1.0 (+ 1.0 (pow (tan x) 2.0))))
    double code(double x) {
    	return 1.0 / (1.0 + pow(tan(x), 2.0));
    }
    
    real(8) function code(x)
        real(8), intent (in) :: x
        code = 1.0d0 / (1.0d0 + (tan(x) ** 2.0d0))
    end function
    
    public static double code(double x) {
    	return 1.0 / (1.0 + Math.pow(Math.tan(x), 2.0));
    }
    
    def code(x):
    	return 1.0 / (1.0 + math.pow(math.tan(x), 2.0))
    
    function code(x)
    	return Float64(1.0 / Float64(1.0 + (tan(x) ^ 2.0)))
    end
    
    function tmp = code(x)
    	tmp = 1.0 / (1.0 + (tan(x) ^ 2.0));
    end
    
    code[x_] := N[(1.0 / N[(1.0 + N[Power[N[Tan[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
    
    \begin{array}{l}
    
    \\
    \frac{1}{1 + {\tan x}^{2}}
    \end{array}
    
    Derivation
    1. Initial program 99.6%

      \[\frac{1 - \tan x \cdot \tan x}{1 + \tan x \cdot \tan x} \]
    2. Add Preprocessing
    3. Step-by-step derivation
      1. tan-quotN/A

        \[\leadsto \frac{1 - \color{blue}{\frac{\sin x}{\cos x}} \cdot \tan x}{1 + \tan x \cdot \tan x} \]
      2. clear-numN/A

        \[\leadsto \frac{1 - \color{blue}{\frac{1}{\frac{\cos x}{\sin x}}} \cdot \tan x}{1 + \tan x \cdot \tan x} \]
      3. tan-quotN/A

        \[\leadsto \frac{1 - \frac{1}{\frac{\cos x}{\sin x}} \cdot \color{blue}{\frac{\sin x}{\cos x}}}{1 + \tan x \cdot \tan x} \]
      4. clear-numN/A

        \[\leadsto \frac{1 - \frac{1}{\frac{\cos x}{\sin x}} \cdot \color{blue}{\frac{1}{\frac{\cos x}{\sin x}}}}{1 + \tan x \cdot \tan x} \]
      5. inv-powN/A

        \[\leadsto \frac{1 - \color{blue}{{\left(\frac{\cos x}{\sin x}\right)}^{-1}} \cdot \frac{1}{\frac{\cos x}{\sin x}}}{1 + \tan x \cdot \tan x} \]
      6. inv-powN/A

        \[\leadsto \frac{1 - {\left(\frac{\cos x}{\sin x}\right)}^{-1} \cdot \color{blue}{{\left(\frac{\cos x}{\sin x}\right)}^{-1}}}{1 + \tan x \cdot \tan x} \]
      7. pow-prod-upN/A

        \[\leadsto \frac{1 - \color{blue}{{\left(\frac{\cos x}{\sin x}\right)}^{\left(-1 + -1\right)}}}{1 + \tan x \cdot \tan x} \]
      8. lower-pow.f64N/A

        \[\leadsto \frac{1 - \color{blue}{{\left(\frac{\cos x}{\sin x}\right)}^{\left(-1 + -1\right)}}}{1 + \tan x \cdot \tan x} \]
      9. clear-numN/A

        \[\leadsto \frac{1 - {\color{blue}{\left(\frac{1}{\frac{\sin x}{\cos x}}\right)}}^{\left(-1 + -1\right)}}{1 + \tan x \cdot \tan x} \]
      10. tan-quotN/A

        \[\leadsto \frac{1 - {\left(\frac{1}{\color{blue}{\tan x}}\right)}^{\left(-1 + -1\right)}}{1 + \tan x \cdot \tan x} \]
      11. lift-tan.f64N/A

        \[\leadsto \frac{1 - {\left(\frac{1}{\color{blue}{\tan x}}\right)}^{\left(-1 + -1\right)}}{1 + \tan x \cdot \tan x} \]
      12. lower-/.f64N/A

        \[\leadsto \frac{1 - {\color{blue}{\left(\frac{1}{\tan x}\right)}}^{\left(-1 + -1\right)}}{1 + \tan x \cdot \tan x} \]
      13. metadata-eval99.4

        \[\leadsto \frac{1 - {\left(\frac{1}{\tan x}\right)}^{\color{blue}{-2}}}{1 + \tan x \cdot \tan x} \]
    4. Applied egg-rr99.4%

      \[\leadsto \frac{1 - \color{blue}{{\left(\frac{1}{\tan x}\right)}^{-2}}}{1 + \tan x \cdot \tan x} \]
    5. Step-by-step derivation
      1. lift-tan.f64N/A

        \[\leadsto \frac{1 - {\left(\frac{1}{\tan x}\right)}^{-2}}{1 + \color{blue}{\tan x} \cdot \tan x} \]
      2. lift-tan.f64N/A

        \[\leadsto \frac{1 - {\left(\frac{1}{\tan x}\right)}^{-2}}{1 + \tan x \cdot \color{blue}{\tan x}} \]
      3. pow2N/A

        \[\leadsto \frac{1 - {\left(\frac{1}{\tan x}\right)}^{-2}}{1 + \color{blue}{{\tan x}^{2}}} \]
      4. lift-pow.f6499.4

        \[\leadsto \frac{1 - {\left(\frac{1}{\tan x}\right)}^{-2}}{1 + \color{blue}{{\tan x}^{2}}} \]
    6. Applied egg-rr99.4%

      \[\leadsto \frac{1 - {\left(\frac{1}{\tan x}\right)}^{-2}}{1 + \color{blue}{{\tan x}^{2}}} \]
    7. Taylor expanded in x around 0

      \[\leadsto \frac{\color{blue}{1}}{1 + {\tan x}^{2}} \]
    8. Step-by-step derivation
      1. Simplified52.6%

        \[\leadsto \frac{\color{blue}{1}}{1 + {\tan x}^{2}} \]
      2. Add Preprocessing

      Alternative 5: 59.3% accurate, 2.0× speedup?

      \[\begin{array}{l} \\ 1 - \tan x \cdot \tan x \end{array} \]
      (FPCore (x) :precision binary64 (- 1.0 (* (tan x) (tan x))))
      double code(double x) {
      	return 1.0 - (tan(x) * tan(x));
      }
      
      real(8) function code(x)
          real(8), intent (in) :: x
          code = 1.0d0 - (tan(x) * tan(x))
      end function
      
      public static double code(double x) {
      	return 1.0 - (Math.tan(x) * Math.tan(x));
      }
      
      def code(x):
      	return 1.0 - (math.tan(x) * math.tan(x))
      
      function code(x)
      	return Float64(1.0 - Float64(tan(x) * tan(x)))
      end
      
      function tmp = code(x)
      	tmp = 1.0 - (tan(x) * tan(x));
      end
      
      code[x_] := N[(1.0 - N[(N[Tan[x], $MachinePrecision] * N[Tan[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
      
      \begin{array}{l}
      
      \\
      1 - \tan x \cdot \tan x
      \end{array}
      
      Derivation
      1. Initial program 99.6%

        \[\frac{1 - \tan x \cdot \tan x}{1 + \tan x \cdot \tan x} \]
      2. Add Preprocessing
      3. Taylor expanded in x around 0

        \[\leadsto \frac{1 - \tan x \cdot \tan x}{\color{blue}{1}} \]
      4. Step-by-step derivation
        1. Simplified56.8%

          \[\leadsto \frac{1 - \tan x \cdot \tan x}{\color{blue}{1}} \]
        2. Final simplification56.8%

          \[\leadsto 1 - \tan x \cdot \tan x \]
        3. Add Preprocessing

        Alternative 6: 55.0% accurate, 428.0× speedup?

        \[\begin{array}{l} \\ 1 \end{array} \]
        (FPCore (x) :precision binary64 1.0)
        double code(double x) {
        	return 1.0;
        }
        
        real(8) function code(x)
            real(8), intent (in) :: x
            code = 1.0d0
        end function
        
        public static double code(double x) {
        	return 1.0;
        }
        
        def code(x):
        	return 1.0
        
        function code(x)
        	return 1.0
        end
        
        function tmp = code(x)
        	tmp = 1.0;
        end
        
        code[x_] := 1.0
        
        \begin{array}{l}
        
        \\
        1
        \end{array}
        
        Derivation
        1. Initial program 99.6%

          \[\frac{1 - \tan x \cdot \tan x}{1 + \tan x \cdot \tan x} \]
        2. Add Preprocessing
        3. Applied egg-rr52.3%

          \[\leadsto \color{blue}{1} \]
        4. Add Preprocessing

        Reproduce

        ?
        herbie shell --seed 2024208 
        (FPCore (x)
          :name "Trigonometry B"
          :precision binary64
          (/ (- 1.0 (* (tan x) (tan x))) (+ 1.0 (* (tan x) (tan x)))))