Trigonometry B

Percentage Accurate: 99.5% → 99.5%
Time: 10.8s
Alternatives: 9
Speedup: 1.0×

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 9 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?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \cos \left(x + x\right)\\ t_1 := \cos \left(x \cdot -2\right)\\ \frac{1 - \frac{\mathsf{fma}\left(t\_0, -0.5, 0.5\right)}{\mathsf{fma}\left(0.5, t\_0, 0.5\right)}}{1 + \frac{1 - t\_1}{1 + t\_1}} \end{array} \end{array} \]
(FPCore (x)
 :precision binary64
 (let* ((t_0 (cos (+ x x))) (t_1 (cos (* x -2.0))))
   (/
    (- 1.0 (/ (fma t_0 -0.5 0.5) (fma 0.5 t_0 0.5)))
    (+ 1.0 (/ (- 1.0 t_1) (+ 1.0 t_1))))))
double code(double x) {
	double t_0 = cos((x + x));
	double t_1 = cos((x * -2.0));
	return (1.0 - (fma(t_0, -0.5, 0.5) / fma(0.5, t_0, 0.5))) / (1.0 + ((1.0 - t_1) / (1.0 + t_1)));
}
function code(x)
	t_0 = cos(Float64(x + x))
	t_1 = cos(Float64(x * -2.0))
	return Float64(Float64(1.0 - Float64(fma(t_0, -0.5, 0.5) / fma(0.5, t_0, 0.5))) / Float64(1.0 + Float64(Float64(1.0 - t_1) / Float64(1.0 + t_1))))
end
code[x_] := Block[{t$95$0 = N[Cos[N[(x + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Cos[N[(x * -2.0), $MachinePrecision]], $MachinePrecision]}, N[(N[(1.0 - N[(N[(t$95$0 * -0.5 + 0.5), $MachinePrecision] / N[(0.5 * t$95$0 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[(1.0 - t$95$1), $MachinePrecision] / N[(1.0 + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \cos \left(x + x\right)\\
t_1 := \cos \left(x \cdot -2\right)\\
\frac{1 - \frac{\mathsf{fma}\left(t\_0, -0.5, 0.5\right)}{\mathsf{fma}\left(0.5, t\_0, 0.5\right)}}{1 + \frac{1 - t\_1}{1 + t\_1}}
\end{array}
\end{array}
Derivation
  1. Initial program 99.5%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

      \[\leadsto \frac{1 - \tan x \cdot \tan x}{1 + \frac{0.5 - 0.5 \cdot \cos \left(x + x\right)}{0.5 + 0.5 \cdot \cos \color{blue}{\left(x + x\right)}}} \]
  4. Applied egg-rr99.2%

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

    \[\leadsto \frac{1 - \tan x \cdot \tan x}{1 + \color{blue}{\frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}}} \]
  6. Step-by-step derivation
    1. *-commutativeN/A

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

      \[\leadsto \frac{1 - \color{blue}{\frac{\sin x \cdot \sin x}{\cos x \cdot \cos x}}}{1 + \frac{1 - \cos \left(x \cdot -2\right)}{1 + \cos \left(x \cdot -2\right)}} \]
    6. pow2N/A

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

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

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

      \[\leadsto \frac{1 - \frac{\color{blue}{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}}{{\cos x}^{\left(\frac{4}{2}\right)}}}{1 + \frac{1 - \cos \left(x \cdot -2\right)}{1 + \cos \left(x \cdot -2\right)}} \]
    10. count-2N/A

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

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

      \[\leadsto \frac{1 - \frac{\frac{1}{2} - \frac{1}{2} \cdot \color{blue}{\cos \left(x + x\right)}}{{\cos x}^{\left(\frac{4}{2}\right)}}}{1 + \frac{1 - \cos \left(x \cdot -2\right)}{1 + \cos \left(x \cdot -2\right)}} \]
    13. cancel-sign-sub-invN/A

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

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

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

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

      \[\leadsto \frac{1 - \frac{\color{blue}{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}}{{\cos x}^{\left(\frac{4}{2}\right)}}}{1 + \frac{1 - \cos \left(x \cdot -2\right)}{1 + \cos \left(x \cdot -2\right)}} \]
    18. metadata-evalN/A

      \[\leadsto \frac{1 - \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{{\cos x}^{\color{blue}{2}}}}{1 + \frac{1 - \cos \left(x \cdot -2\right)}{1 + \cos \left(x \cdot -2\right)}} \]
    19. pow2N/A

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

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

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

      \[\leadsto \frac{1 - \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\color{blue}{\frac{1}{2} + \frac{1}{2} \cdot \cos \left(2 \cdot x\right)}}}{1 + \frac{1 - \cos \left(x \cdot -2\right)}{1 + \cos \left(x \cdot -2\right)}} \]
  9. Applied egg-rr99.6%

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

Alternative 2: 99.5% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \frac{\mathsf{fma}\left(\tan x, -\tan x, 1\right)}{\mathsf{fma}\left(\tan x, \tan x, 1\right)} \end{array} \]
(FPCore (x)
 :precision binary64
 (/ (fma (tan x) (- (tan x)) 1.0) (fma (tan x) (tan x) 1.0)))
double code(double x) {
	return fma(tan(x), -tan(x), 1.0) / fma(tan(x), tan(x), 1.0);
}
function code(x)
	return Float64(fma(tan(x), Float64(-tan(x)), 1.0) / fma(tan(x), tan(x), 1.0))
end
code[x_] := N[(N[(N[Tan[x], $MachinePrecision] * (-N[Tan[x], $MachinePrecision]) + 1.0), $MachinePrecision] / N[(N[Tan[x], $MachinePrecision] * N[Tan[x], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\frac{\mathsf{fma}\left(\tan x, -\tan x, 1\right)}{\mathsf{fma}\left(\tan x, \tan x, 1\right)}
\end{array}
Derivation
  1. Initial program 99.5%

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

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

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

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

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

      \[\leadsto \frac{1 - \tan x \cdot \tan x}{\color{blue}{\tan x \cdot \tan x} + 1} \]
    6. lower-fma.f6499.5

      \[\leadsto \frac{1 - \tan x \cdot \tan x}{\color{blue}{\mathsf{fma}\left(\tan x, \tan x, 1\right)}} \]
  4. Applied egg-rr99.5%

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

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

      \[\leadsto \frac{1 - \tan x \cdot \color{blue}{\tan x}}{\mathsf{fma}\left(\tan x, \tan x, 1\right)} \]
    3. cancel-sign-sub-invN/A

      \[\leadsto \frac{\color{blue}{1 + \left(\mathsf{neg}\left(\tan x\right)\right) \cdot \tan x}}{\mathsf{fma}\left(\tan x, \tan x, 1\right)} \]
    4. lift-neg.f64N/A

      \[\leadsto \frac{1 + \color{blue}{\left(\mathsf{neg}\left(\tan x\right)\right)} \cdot \tan x}{\mathsf{fma}\left(\tan x, \tan x, 1\right)} \]
    5. lift-tan.f64N/A

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

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

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

      \[\leadsto \frac{1 + \left(\mathsf{neg}\left(\tan x\right)\right) \cdot \frac{\sin x}{\color{blue}{\cos x}}}{\mathsf{fma}\left(\tan x, \tan x, 1\right)} \]
    9. div-invN/A

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

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

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

      \[\leadsto \frac{1 + \color{blue}{\left(\sin x \cdot \left(\mathsf{neg}\left(\tan x\right)\right)\right)} \cdot \frac{1}{\cos x}}{\mathsf{fma}\left(\tan x, \tan x, 1\right)} \]
    13. lift-*.f64N/A

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

      \[\leadsto \frac{\color{blue}{\left(\sin x \cdot \left(\mathsf{neg}\left(\tan x\right)\right)\right) \cdot \frac{1}{\cos x} + 1}}{\mathsf{fma}\left(\tan x, \tan x, 1\right)} \]
  6. Applied egg-rr99.6%

    \[\leadsto \frac{\color{blue}{\mathsf{fma}\left(\tan x, -\tan x, 1\right)}}{\mathsf{fma}\left(\tan x, \tan x, 1\right)} \]
  7. Add Preprocessing

Alternative 3: 99.5% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \frac{1 - {\tan x}^{2}}{\mathsf{fma}\left(\tan x, \tan x, 1\right)} \end{array} \]
(FPCore (x)
 :precision binary64
 (/ (- 1.0 (pow (tan x) 2.0)) (fma (tan x) (tan x) 1.0)))
double code(double x) {
	return (1.0 - pow(tan(x), 2.0)) / fma(tan(x), tan(x), 1.0);
}
function code(x)
	return Float64(Float64(1.0 - (tan(x) ^ 2.0)) / fma(tan(x), tan(x), 1.0))
end
code[x_] := N[(N[(1.0 - N[Power[N[Tan[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[(N[Tan[x], $MachinePrecision] * N[Tan[x], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\frac{1 - {\tan x}^{2}}{\mathsf{fma}\left(\tan x, \tan x, 1\right)}
\end{array}
Derivation
  1. Initial program 99.5%

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

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

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

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

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

      \[\leadsto \frac{1 - \tan x \cdot \tan x}{\color{blue}{\tan x \cdot \tan x} + 1} \]
    6. lower-fma.f6499.5

      \[\leadsto \frac{1 - \tan x \cdot \tan x}{\color{blue}{\mathsf{fma}\left(\tan x, \tan x, 1\right)}} \]
  4. Applied egg-rr99.5%

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

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

      \[\leadsto \frac{1 - \tan x \cdot \color{blue}{\tan x}}{\mathsf{fma}\left(\tan x, \tan x, 1\right)} \]
    3. pow2N/A

      \[\leadsto \frac{1 - \color{blue}{{\tan x}^{2}}}{\mathsf{fma}\left(\tan x, \tan x, 1\right)} \]
    4. lower-pow.f6499.5

      \[\leadsto \frac{1 - \color{blue}{{\tan x}^{2}}}{\mathsf{fma}\left(\tan x, \tan x, 1\right)} \]
  6. Applied egg-rr99.5%

    \[\leadsto \frac{1 - \color{blue}{{\tan x}^{2}}}{\mathsf{fma}\left(\tan x, \tan x, 1\right)} \]
  7. Add Preprocessing

Alternative 4: 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 99.5%

    \[\frac{1 - \tan x \cdot \tan x}{1 + \tan x \cdot \tan x} \]
  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. clear-numN/A

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

      \[\leadsto \frac{1 - \color{blue}{\frac{1}{\frac{\cos x}{\sin x}}} \cdot \frac{1}{\frac{\cos x}{\sin x}}}{1 + \tan x \cdot \tan x} \]
    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. lower-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. Step-by-step derivation
    1. lift-tan.f64N/A

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

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

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

      \[\leadsto \frac{1 - {\tan x}^{\color{blue}{2}}}{1 + {\tan x}^{2}} \]
    5. lift-pow.f6499.5

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

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

Alternative 5: 60.5% accurate, 1.3× speedup?

\[\begin{array}{l} \\ \frac{1}{\frac{\mathsf{fma}\left(\cos \left(x + x\right), -0.5, 1.5\right)}{1 - {\tan x}^{2}}} \end{array} \]
(FPCore (x)
 :precision binary64
 (/ 1.0 (/ (fma (cos (+ x x)) -0.5 1.5) (- 1.0 (pow (tan x) 2.0)))))
double code(double x) {
	return 1.0 / (fma(cos((x + x)), -0.5, 1.5) / (1.0 - pow(tan(x), 2.0)));
}
function code(x)
	return Float64(1.0 / Float64(fma(cos(Float64(x + x)), -0.5, 1.5) / Float64(1.0 - (tan(x) ^ 2.0))))
end
code[x_] := N[(1.0 / N[(N[(N[Cos[N[(x + x), $MachinePrecision]], $MachinePrecision] * -0.5 + 1.5), $MachinePrecision] / N[(1.0 - N[Power[N[Tan[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\frac{1}{\frac{\mathsf{fma}\left(\cos \left(x + x\right), -0.5, 1.5\right)}{1 - {\tan x}^{2}}}
\end{array}
Derivation
  1. Initial program 99.5%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

      \[\leadsto \frac{1 - \tan x \cdot \tan x}{1 + \frac{0.5 - 0.5 \cdot \cos \left(x + x\right)}{0.5 + 0.5 \cdot \cos \color{blue}{\left(x + x\right)}}} \]
  4. Applied egg-rr99.2%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    \[\leadsto \frac{1 - \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\mathsf{fma}\left(\frac{1}{2}, \cos \left(x + x\right), \frac{1}{2}\right)}}{1 + \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\color{blue}{1}}} \]
  8. Step-by-step derivation
    1. Simplified64.9%

      \[\leadsto \frac{1 - \frac{\mathsf{fma}\left(\cos \left(x + x\right), -0.5, 0.5\right)}{\mathsf{fma}\left(0.5, \cos \left(x + x\right), 0.5\right)}}{1 + \frac{0.5 - 0.5 \cdot \cos \left(x + x\right)}{\color{blue}{1}}} \]
    2. Applied egg-rr64.9%

      \[\leadsto \color{blue}{\frac{1}{\frac{\mathsf{fma}\left(\cos \left(x + x\right), -0.5, 1.5\right)}{1 - {\tan x}^{2}}}} \]
    3. Add Preprocessing

    Alternative 6: 60.5% accurate, 1.3× speedup?

    \[\begin{array}{l} \\ \frac{1 - {\tan x}^{2}}{\mathsf{fma}\left(\cos \left(x + x\right), -0.5, 1.5\right)} \end{array} \]
    (FPCore (x)
     :precision binary64
     (/ (- 1.0 (pow (tan x) 2.0)) (fma (cos (+ x x)) -0.5 1.5)))
    double code(double x) {
    	return (1.0 - pow(tan(x), 2.0)) / fma(cos((x + x)), -0.5, 1.5);
    }
    
    function code(x)
    	return Float64(Float64(1.0 - (tan(x) ^ 2.0)) / fma(cos(Float64(x + x)), -0.5, 1.5))
    end
    
    code[x_] := N[(N[(1.0 - N[Power[N[Tan[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[(N[Cos[N[(x + x), $MachinePrecision]], $MachinePrecision] * -0.5 + 1.5), $MachinePrecision]), $MachinePrecision]
    
    \begin{array}{l}
    
    \\
    \frac{1 - {\tan x}^{2}}{\mathsf{fma}\left(\cos \left(x + x\right), -0.5, 1.5\right)}
    \end{array}
    
    Derivation
    1. Initial program 99.5%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

        \[\leadsto \frac{1 - \tan x \cdot \tan x}{1 + \frac{0.5 - 0.5 \cdot \cos \left(x + x\right)}{0.5 + 0.5 \cdot \cos \color{blue}{\left(x + x\right)}}} \]
    4. Applied egg-rr99.2%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

      \[\leadsto \frac{1 - \frac{\mathsf{fma}\left(\cos \left(x + x\right), \frac{-1}{2}, \frac{1}{2}\right)}{\mathsf{fma}\left(\frac{1}{2}, \cos \left(x + x\right), \frac{1}{2}\right)}}{1 + \frac{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(x + x\right)}{\color{blue}{1}}} \]
    8. Step-by-step derivation
      1. Simplified64.9%

        \[\leadsto \frac{1 - \frac{\mathsf{fma}\left(\cos \left(x + x\right), -0.5, 0.5\right)}{\mathsf{fma}\left(0.5, \cos \left(x + x\right), 0.5\right)}}{1 + \frac{0.5 - 0.5 \cdot \cos \left(x + x\right)}{\color{blue}{1}}} \]
      2. Applied egg-rr64.9%

        \[\leadsto \color{blue}{\frac{1 - {\tan x}^{2}}{\mathsf{fma}\left(\cos \left(x + x\right), -0.5, 1.5\right)}} \]
      3. Add Preprocessing

      Alternative 7: 54.5% accurate, 2.0× speedup?

      \[\begin{array}{l} \\ \frac{1}{\mathsf{fma}\left(\tan x, \tan x, 1\right)} \end{array} \]
      (FPCore (x) :precision binary64 (/ 1.0 (fma (tan x) (tan x) 1.0)))
      double code(double x) {
      	return 1.0 / fma(tan(x), tan(x), 1.0);
      }
      
      function code(x)
      	return Float64(1.0 / fma(tan(x), tan(x), 1.0))
      end
      
      code[x_] := N[(1.0 / N[(N[Tan[x], $MachinePrecision] * N[Tan[x], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]
      
      \begin{array}{l}
      
      \\
      \frac{1}{\mathsf{fma}\left(\tan x, \tan x, 1\right)}
      \end{array}
      
      Derivation
      1. Initial program 99.5%

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

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

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

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

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

          \[\leadsto \frac{1 - \tan x \cdot \tan x}{\color{blue}{\tan x \cdot \tan x} + 1} \]
        6. lower-fma.f6499.5

          \[\leadsto \frac{1 - \tan x \cdot \tan x}{\color{blue}{\mathsf{fma}\left(\tan x, \tan x, 1\right)}} \]
      4. Applied egg-rr99.5%

        \[\leadsto \frac{1 - \tan x \cdot \tan x}{\color{blue}{\mathsf{fma}\left(\tan x, \tan x, 1\right)}} \]
      5. Taylor expanded in x around 0

        \[\leadsto \frac{\color{blue}{1}}{\mathsf{fma}\left(\tan x, \tan x, 1\right)} \]
      6. Step-by-step derivation
        1. Simplified59.9%

          \[\leadsto \frac{\color{blue}{1}}{\mathsf{fma}\left(\tan x, \tan x, 1\right)} \]
        2. Add Preprocessing

        Alternative 8: 58.5% 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 99.5%

          \[\frac{1 - \tan x \cdot \tan x}{1 + \tan x \cdot \tan x} \]
        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. Simplified62.9%

            \[\leadsto \frac{1 - \tan x \cdot \tan x}{\color{blue}{1}} \]
          2. Final simplification62.9%

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

          Alternative 9: 54.1% 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 99.5%

            \[\frac{1 - \tan x \cdot \tan x}{1 + \tan x \cdot \tan x} \]
          2. Add Preprocessing
          3. Applied egg-rr59.5%

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

          Reproduce

          ?
          herbie shell --seed 2024215 
          (FPCore (x)
            :name "Trigonometry B"
            :precision binary64
            (/ (- 1.0 (* (tan x) (tan x))) (+ 1.0 (* (tan x) (tan x)))))