
(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 7 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 x))) (t_1 (/ (fma t_0 -0.5 0.5) (fma 0.5 t_0 0.5)))) (/ (- 1.0 t_1) (+ 1.0 t_1))))
double code(double x) {
double t_0 = cos((x + x));
double t_1 = fma(t_0, -0.5, 0.5) / fma(0.5, t_0, 0.5);
return (1.0 - t_1) / (1.0 + t_1);
}
function code(x) t_0 = cos(Float64(x + x)) t_1 = Float64(fma(t_0, -0.5, 0.5) / fma(0.5, t_0, 0.5)) return 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[(N[(t$95$0 * -0.5 + 0.5), $MachinePrecision] / N[(0.5 * t$95$0 + 0.5), $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 + x\right)\\
t_1 := \frac{\mathsf{fma}\left(t\_0, -0.5, 0.5\right)}{\mathsf{fma}\left(0.5, t\_0, 0.5\right)}\\
\frac{1 - t\_1}{1 + t\_1}
\end{array}
\end{array}
Initial program 99.5%
tan-quotN/A
div-invN/A
tan-quotN/A
div-invN/A
swap-sqrN/A
*-lowering-*.f64N/A
sqr-sin-aN/A
--lowering--.f64N/A
cos-2N/A
cos-sumN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
+-lowering-+.f64N/A
inv-powN/A
inv-powN/A
pow-prod-downN/A
inv-powN/A
/-lowering-/.f64N/A
sqr-cos-aN/A
+-lowering-+.f64N/A
cos-2N/A
cos-sumN/A
*-lowering-*.f64N/A
Applied egg-rr99.1%
tan-quotN/A
tan-quotN/A
frac-timesN/A
sqr-sin-aN/A
count-2N/A
sqr-cos-aN/A
count-2N/A
/-lowering-/.f64N/A
sub-negN/A
+-commutativeN/A
*-commutativeN/A
distribute-rgt-neg-inN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
+-lowering-+.f64N/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
Applied egg-rr99.5%
un-div-invN/A
*-rgt-identityN/A
/-lowering-/.f64N/A
*-rgt-identityN/A
cancel-sign-sub-invN/A
metadata-evalN/A
*-commutativeN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
+-lowering-+.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
+-lowering-+.f6499.6
Applied egg-rr99.6%
(FPCore (x) :precision binary64 (let* ((t_0 (pow (tan x) 2.0))) (/ (- 1.0 t_0) (- t_0 -1.0))))
double code(double x) {
double t_0 = pow(tan(x), 2.0);
return (1.0 - t_0) / (t_0 - -1.0);
}
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) / (t_0 - (-1.0d0))
end function
public static double code(double x) {
double t_0 = Math.pow(Math.tan(x), 2.0);
return (1.0 - t_0) / (t_0 - -1.0);
}
def code(x): t_0 = math.pow(math.tan(x), 2.0) return (1.0 - t_0) / (t_0 - -1.0)
function code(x) t_0 = tan(x) ^ 2.0 return Float64(Float64(1.0 - t_0) / Float64(t_0 - -1.0)) end
function tmp = code(x) t_0 = tan(x) ^ 2.0; tmp = (1.0 - t_0) / (t_0 - -1.0); 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[(t$95$0 - -1.0), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\tan x}^{2}\\
\frac{1 - t\_0}{t\_0 - -1}
\end{array}
\end{array}
Initial program 99.5%
--lowering--.f64N/A
pow2N/A
pow-lowering-pow.f64N/A
tan-lowering-tan.f6499.5
Applied egg-rr99.5%
pow2N/A
+-commutativeN/A
metadata-evalN/A
sub-negN/A
--lowering--.f64N/A
pow-lowering-pow.f64N/A
tan-lowering-tan.f6499.5
Applied egg-rr99.5%
(FPCore (x) :precision binary64 (let* ((t_0 (cos (+ x x))) (t_1 (* t_0 0.5))) (/ (+ 1.0 (* (/ 1.0 (+ 0.5 t_1)) (- t_1 0.5))) (+ 1.0 (fma t_0 -0.5 0.5)))))
double code(double x) {
double t_0 = cos((x + x));
double t_1 = t_0 * 0.5;
return (1.0 + ((1.0 / (0.5 + t_1)) * (t_1 - 0.5))) / (1.0 + fma(t_0, -0.5, 0.5));
}
function code(x) t_0 = cos(Float64(x + x)) t_1 = Float64(t_0 * 0.5) return Float64(Float64(1.0 + Float64(Float64(1.0 / Float64(0.5 + t_1)) * Float64(t_1 - 0.5))) / Float64(1.0 + fma(t_0, -0.5, 0.5))) end
code[x_] := Block[{t$95$0 = N[Cos[N[(x + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 * 0.5), $MachinePrecision]}, N[(N[(1.0 + N[(N[(1.0 / N[(0.5 + t$95$1), $MachinePrecision]), $MachinePrecision] * N[(t$95$1 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(t$95$0 * -0.5 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \cos \left(x + x\right)\\
t_1 := t\_0 \cdot 0.5\\
\frac{1 + \frac{1}{0.5 + t\_1} \cdot \left(t\_1 - 0.5\right)}{1 + \mathsf{fma}\left(t\_0, -0.5, 0.5\right)}
\end{array}
\end{array}
Initial program 99.5%
tan-quotN/A
div-invN/A
tan-quotN/A
div-invN/A
swap-sqrN/A
*-lowering-*.f64N/A
sqr-sin-aN/A
--lowering--.f64N/A
cos-2N/A
cos-sumN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
+-lowering-+.f64N/A
inv-powN/A
inv-powN/A
pow-prod-downN/A
inv-powN/A
/-lowering-/.f64N/A
sqr-cos-aN/A
+-lowering-+.f64N/A
cos-2N/A
cos-sumN/A
*-lowering-*.f64N/A
Applied egg-rr99.1%
tan-quotN/A
tan-quotN/A
frac-timesN/A
sqr-sin-aN/A
count-2N/A
sqr-cos-aN/A
count-2N/A
/-lowering-/.f64N/A
sub-negN/A
+-commutativeN/A
*-commutativeN/A
distribute-rgt-neg-inN/A
accelerator-lowering-fma.f64N/A
cos-lowering-cos.f64N/A
+-lowering-+.f64N/A
metadata-evalN/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
Applied egg-rr99.5%
Taylor expanded in x around 0
Simplified61.4%
Final simplification61.4%
(FPCore (x) :precision binary64 (/ -1.0 (/ 1.0 (+ (pow (tan x) 2.0) -1.0))))
double code(double x) {
return -1.0 / (1.0 / (pow(tan(x), 2.0) + -1.0));
}
real(8) function code(x)
real(8), intent (in) :: x
code = (-1.0d0) / (1.0d0 / ((tan(x) ** 2.0d0) + (-1.0d0)))
end function
public static double code(double x) {
return -1.0 / (1.0 / (Math.pow(Math.tan(x), 2.0) + -1.0));
}
def code(x): return -1.0 / (1.0 / (math.pow(math.tan(x), 2.0) + -1.0))
function code(x) return Float64(-1.0 / Float64(1.0 / Float64((tan(x) ^ 2.0) + -1.0))) end
function tmp = code(x) tmp = -1.0 / (1.0 / ((tan(x) ^ 2.0) + -1.0)); end
code[x_] := N[(-1.0 / N[(1.0 / N[(N[Power[N[Tan[x], $MachinePrecision], 2.0], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{-1}{\frac{1}{{\tan x}^{2} + -1}}
\end{array}
Initial program 99.5%
Applied egg-rr99.5%
Taylor expanded in x around 0
Simplified59.6%
Final simplification59.6%
(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
pow2N/A
pow-lowering-pow.f64N/A
tan-lowering-tan.f6499.5
Applied egg-rr99.5%
Taylor expanded in x around 0
Simplified59.6%
Final simplification59.6%
(FPCore (x) :precision binary64 (+ 1.0 (- (* (cos (+ x x)) 0.5) 0.5)))
double code(double x) {
return 1.0 + ((cos((x + x)) * 0.5) - 0.5);
}
real(8) function code(x)
real(8), intent (in) :: x
code = 1.0d0 + ((cos((x + x)) * 0.5d0) - 0.5d0)
end function
public static double code(double x) {
return 1.0 + ((Math.cos((x + x)) * 0.5) - 0.5);
}
def code(x): return 1.0 + ((math.cos((x + x)) * 0.5) - 0.5)
function code(x) return Float64(1.0 + Float64(Float64(cos(Float64(x + x)) * 0.5) - 0.5)) end
function tmp = code(x) tmp = 1.0 + ((cos((x + x)) * 0.5) - 0.5); end
code[x_] := N[(1.0 + N[(N[(N[Cos[N[(x + x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
1 + \left(\cos \left(x + x\right) \cdot 0.5 - 0.5\right)
\end{array}
Initial program 99.5%
tan-quotN/A
div-invN/A
tan-quotN/A
div-invN/A
swap-sqrN/A
*-lowering-*.f64N/A
sqr-sin-aN/A
--lowering--.f64N/A
cos-2N/A
cos-sumN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
+-lowering-+.f64N/A
inv-powN/A
inv-powN/A
pow-prod-downN/A
inv-powN/A
/-lowering-/.f64N/A
sqr-cos-aN/A
+-lowering-+.f64N/A
cos-2N/A
cos-sumN/A
*-lowering-*.f64N/A
Applied egg-rr99.1%
Taylor expanded in x around 0
Simplified57.3%
Taylor expanded in x around 0
Simplified55.8%
Final simplification55.8%
(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%
Applied egg-rr55.4%
herbie shell --seed 2024197
(FPCore (x)
:name "Trigonometry B"
:precision binary64
(/ (- 1.0 (* (tan x) (tan x))) (+ 1.0 (* (tan x) (tan x)))))