
(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:
Herbie found 6 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(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}
(FPCore (x)
:precision binary64
(let* ((t_0 (cos (* x 2.0)))
(t_1 (/ (+ 0.5 (* t_0 -0.5)) (+ 0.5 (* 0.5 t_0)))))
(/ (- 1.0 t_1) (+ 1.0 t_1))))
double code(double x) {
double t_0 = cos((x * 2.0));
double t_1 = (0.5 + (t_0 * -0.5)) / (0.5 + (0.5 * t_0));
return (1.0 - t_1) / (1.0 + t_1);
}
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 = (0.5d0 + (t_0 * (-0.5d0))) / (0.5d0 + (0.5d0 * t_0))
code = (1.0d0 - t_1) / (1.0d0 + t_1)
end function
public static double code(double x) {
double t_0 = Math.cos((x * 2.0));
double t_1 = (0.5 + (t_0 * -0.5)) / (0.5 + (0.5 * t_0));
return (1.0 - t_1) / (1.0 + t_1);
}
def code(x): t_0 = math.cos((x * 2.0)) t_1 = (0.5 + (t_0 * -0.5)) / (0.5 + (0.5 * t_0)) return (1.0 - t_1) / (1.0 + t_1)
function code(x) t_0 = cos(Float64(x * 2.0)) t_1 = Float64(Float64(0.5 + Float64(t_0 * -0.5)) / Float64(0.5 + Float64(0.5 * t_0))) return Float64(Float64(1.0 - t_1) / Float64(1.0 + t_1)) end
function tmp = code(x) t_0 = cos((x * 2.0)); t_1 = (0.5 + (t_0 * -0.5)) / (0.5 + (0.5 * t_0)); tmp = (1.0 - t_1) / (1.0 + t_1); end
code[x_] := Block[{t$95$0 = N[Cos[N[(x * 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(0.5 + N[(t$95$0 * -0.5), $MachinePrecision]), $MachinePrecision] / N[(0.5 + N[(0.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(1.0 - t$95$1), $MachinePrecision] / N[(1.0 + t$95$1), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(x \cdot 2\right)\\
t_1 := \frac{0.5 + t\_0 \cdot -0.5}{0.5 + 0.5 \cdot t\_0}\\
\frac{1 - t\_1}{1 + t\_1}
\end{array}
\end{array}
Initial program 99.5%
tan-quotN/A
tan-quotN/A
frac-timesN/A
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
sqr-cos-aN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sqr-sin-aN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f6498.9%
Applied egg-rr98.9%
tan-quotN/A
tan-quotN/A
frac-timesN/A
sqr-sin-aN/A
sqr-cos-aN/A
/-lowering-/.f64N/A
sub-negN/A
+-lowering-+.f64N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-commutativeN/A
*-lowering-*.f6499.5%
Applied egg-rr99.5%
Taylor expanded in x around inf
/-lowering-/.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-commutativeN/A
*-lowering-*.f6499.6%
Simplified99.6%
(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}
Initial program 99.5%
/-lowering-/.f64N/A
--lowering--.f64N/A
pow2N/A
pow-lowering-pow.f64N/A
tan-lowering-tan.f64N/A
+-lowering-+.f64N/A
pow2N/A
pow-lowering-pow.f64N/A
tan-lowering-tan.f6499.5%
Applied egg-rr99.5%
(FPCore (x) :precision binary64 (let* ((t_0 (cos (* x 2.0))) (t_1 (+ 0.5 (* t_0 -0.5)))) (/ (- 1.0 (/ t_1 (+ 0.5 (* 0.5 t_0)))) (+ 1.0 t_1))))
double code(double x) {
double t_0 = cos((x * 2.0));
double t_1 = 0.5 + (t_0 * -0.5);
return (1.0 - (t_1 / (0.5 + (0.5 * t_0)))) / (1.0 + t_1);
}
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 = 0.5d0 + (t_0 * (-0.5d0))
code = (1.0d0 - (t_1 / (0.5d0 + (0.5d0 * t_0)))) / (1.0d0 + t_1)
end function
public static double code(double x) {
double t_0 = Math.cos((x * 2.0));
double t_1 = 0.5 + (t_0 * -0.5);
return (1.0 - (t_1 / (0.5 + (0.5 * t_0)))) / (1.0 + t_1);
}
def code(x): t_0 = math.cos((x * 2.0)) t_1 = 0.5 + (t_0 * -0.5) return (1.0 - (t_1 / (0.5 + (0.5 * t_0)))) / (1.0 + t_1)
function code(x) t_0 = cos(Float64(x * 2.0)) t_1 = Float64(0.5 + Float64(t_0 * -0.5)) return Float64(Float64(1.0 - Float64(t_1 / Float64(0.5 + Float64(0.5 * t_0)))) / Float64(1.0 + t_1)) end
function tmp = code(x) t_0 = cos((x * 2.0)); t_1 = 0.5 + (t_0 * -0.5); tmp = (1.0 - (t_1 / (0.5 + (0.5 * t_0)))) / (1.0 + t_1); end
code[x_] := Block[{t$95$0 = N[Cos[N[(x * 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(0.5 + N[(t$95$0 * -0.5), $MachinePrecision]), $MachinePrecision]}, N[(N[(1.0 - N[(t$95$1 / N[(0.5 + N[(0.5 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + t$95$1), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(x \cdot 2\right)\\
t_1 := 0.5 + t\_0 \cdot -0.5\\
\frac{1 - \frac{t\_1}{0.5 + 0.5 \cdot t\_0}}{1 + t\_1}
\end{array}
\end{array}
Initial program 99.5%
tan-quotN/A
tan-quotN/A
frac-timesN/A
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
sqr-cos-aN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f64N/A
sqr-sin-aN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-lowering-*.f6498.9%
Applied egg-rr98.9%
tan-quotN/A
tan-quotN/A
frac-timesN/A
sqr-sin-aN/A
sqr-cos-aN/A
/-lowering-/.f64N/A
sub-negN/A
+-lowering-+.f64N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-commutativeN/A
*-lowering-*.f6499.5%
Applied egg-rr99.5%
Taylor expanded in x around inf
/-lowering-/.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
*-commutativeN/A
*-lowering-*.f6499.6%
Simplified99.6%
Taylor expanded in x around 0
Simplified61.3%
Final simplification61.3%
(FPCore (x) :precision binary64 (/ (- 1.0 (pow (tan x) 2.0)) (+ 1.0 (/ 1.0 (/ 1.0 (+ 0.5 (* (cos (* x 2.0)) -0.5)))))))
double code(double x) {
return (1.0 - pow(tan(x), 2.0)) / (1.0 + (1.0 / (1.0 / (0.5 + (cos((x * 2.0)) * -0.5)))));
}
real(8) function code(x)
real(8), intent (in) :: x
code = (1.0d0 - (tan(x) ** 2.0d0)) / (1.0d0 + (1.0d0 / (1.0d0 / (0.5d0 + (cos((x * 2.0d0)) * (-0.5d0))))))
end function
public static double code(double x) {
return (1.0 - Math.pow(Math.tan(x), 2.0)) / (1.0 + (1.0 / (1.0 / (0.5 + (Math.cos((x * 2.0)) * -0.5)))));
}
def code(x): return (1.0 - math.pow(math.tan(x), 2.0)) / (1.0 + (1.0 / (1.0 / (0.5 + (math.cos((x * 2.0)) * -0.5)))))
function code(x) return Float64(Float64(1.0 - (tan(x) ^ 2.0)) / Float64(1.0 + Float64(1.0 / Float64(1.0 / Float64(0.5 + Float64(cos(Float64(x * 2.0)) * -0.5)))))) end
function tmp = code(x) tmp = (1.0 - (tan(x) ^ 2.0)) / (1.0 + (1.0 / (1.0 / (0.5 + (cos((x * 2.0)) * -0.5))))); end
code[x_] := N[(N[(1.0 - N[Power[N[Tan[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(1.0 / N[(1.0 / N[(0.5 + N[(N[Cos[N[(x * 2.0), $MachinePrecision]], $MachinePrecision] * -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1 - {\tan x}^{2}}{1 + \frac{1}{\frac{1}{0.5 + \cos \left(x \cdot 2\right) \cdot -0.5}}}
\end{array}
Initial program 99.5%
/-lowering-/.f64N/A
--lowering--.f64N/A
pow2N/A
pow-lowering-pow.f64N/A
tan-lowering-tan.f64N/A
+-lowering-+.f64N/A
pow2N/A
pow-lowering-pow.f64N/A
tan-lowering-tan.f6499.5%
Applied egg-rr99.5%
pow2N/A
tan-quotN/A
tan-quotN/A
frac-timesN/A
sqr-sin-aN/A
sqr-cos-aN/A
clear-numN/A
inv-powN/A
clear-numN/A
associate-/r/N/A
unpow-prod-downN/A
inv-powN/A
*-lowering-*.f64N/A
Applied egg-rr98.9%
Taylor expanded in x around 0
Simplified61.3%
Final simplification61.3%
(FPCore (x) :precision binary64 (- 1.0 (pow (tan x) 2.0)))
double code(double x) {
return 1.0 - pow(tan(x), 2.0);
}
real(8) function code(x)
real(8), intent (in) :: x
code = 1.0d0 - (tan(x) ** 2.0d0)
end function
public static double code(double x) {
return 1.0 - Math.pow(Math.tan(x), 2.0);
}
def code(x): return 1.0 - math.pow(math.tan(x), 2.0)
function code(x) return Float64(1.0 - (tan(x) ^ 2.0)) end
function tmp = code(x) tmp = 1.0 - (tan(x) ^ 2.0); end
code[x_] := N[(1.0 - N[Power[N[Tan[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
1 - {\tan x}^{2}
\end{array}
Initial program 99.5%
/-lowering-/.f64N/A
--lowering--.f64N/A
pow2N/A
pow-lowering-pow.f64N/A
tan-lowering-tan.f64N/A
+-lowering-+.f64N/A
pow2N/A
pow-lowering-pow.f64N/A
tan-lowering-tan.f6499.5%
Applied egg-rr99.5%
Taylor expanded in x around 0
Simplified59.4%
Final simplification59.4%
(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}
Initial program 99.5%
Taylor expanded in x around 0
Simplified55.0%
herbie shell --seed 2024160
(FPCore (x)
:name "Trigonometry B"
:precision binary64
(/ (- 1.0 (* (tan x) (tan x))) (+ 1.0 (* (tan x) (tan x)))))