
(FPCore (eh ew t) :precision binary64 (let* ((t_1 (atan (/ (* (- eh) (tan t)) ew)))) (fabs (- (* (* ew (cos t)) (cos t_1)) (* (* eh (sin t)) (sin t_1))))))
double code(double eh, double ew, double t) {
double t_1 = atan(((-eh * tan(t)) / ew));
return fabs((((ew * cos(t)) * cos(t_1)) - ((eh * sin(t)) * sin(t_1))));
}
real(8) function code(eh, ew, t)
real(8), intent (in) :: eh
real(8), intent (in) :: ew
real(8), intent (in) :: t
real(8) :: t_1
t_1 = atan(((-eh * tan(t)) / ew))
code = abs((((ew * cos(t)) * cos(t_1)) - ((eh * sin(t)) * sin(t_1))))
end function
public static double code(double eh, double ew, double t) {
double t_1 = Math.atan(((-eh * Math.tan(t)) / ew));
return Math.abs((((ew * Math.cos(t)) * Math.cos(t_1)) - ((eh * Math.sin(t)) * Math.sin(t_1))));
}
def code(eh, ew, t): t_1 = math.atan(((-eh * math.tan(t)) / ew)) return math.fabs((((ew * math.cos(t)) * math.cos(t_1)) - ((eh * math.sin(t)) * math.sin(t_1))))
function code(eh, ew, t) t_1 = atan(Float64(Float64(Float64(-eh) * tan(t)) / ew)) return abs(Float64(Float64(Float64(ew * cos(t)) * cos(t_1)) - Float64(Float64(eh * sin(t)) * sin(t_1)))) end
function tmp = code(eh, ew, t) t_1 = atan(((-eh * tan(t)) / ew)); tmp = abs((((ew * cos(t)) * cos(t_1)) - ((eh * sin(t)) * sin(t_1)))); end
code[eh_, ew_, t_] := Block[{t$95$1 = N[ArcTan[N[(N[((-eh) * N[Tan[t], $MachinePrecision]), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]}, N[Abs[N[(N[(N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision] * N[Cos[t$95$1], $MachinePrecision]), $MachinePrecision] - N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Sin[t$95$1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \tan^{-1} \left(\frac{\left(-eh\right) \cdot \tan t}{ew}\right)\\
\left|\left(ew \cdot \cos t\right) \cdot \cos t\_1 - \left(eh \cdot \sin t\right) \cdot \sin t\_1\right|
\end{array}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 10 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (eh ew t) :precision binary64 (let* ((t_1 (atan (/ (* (- eh) (tan t)) ew)))) (fabs (- (* (* ew (cos t)) (cos t_1)) (* (* eh (sin t)) (sin t_1))))))
double code(double eh, double ew, double t) {
double t_1 = atan(((-eh * tan(t)) / ew));
return fabs((((ew * cos(t)) * cos(t_1)) - ((eh * sin(t)) * sin(t_1))));
}
real(8) function code(eh, ew, t)
real(8), intent (in) :: eh
real(8), intent (in) :: ew
real(8), intent (in) :: t
real(8) :: t_1
t_1 = atan(((-eh * tan(t)) / ew))
code = abs((((ew * cos(t)) * cos(t_1)) - ((eh * sin(t)) * sin(t_1))))
end function
public static double code(double eh, double ew, double t) {
double t_1 = Math.atan(((-eh * Math.tan(t)) / ew));
return Math.abs((((ew * Math.cos(t)) * Math.cos(t_1)) - ((eh * Math.sin(t)) * Math.sin(t_1))));
}
def code(eh, ew, t): t_1 = math.atan(((-eh * math.tan(t)) / ew)) return math.fabs((((ew * math.cos(t)) * math.cos(t_1)) - ((eh * math.sin(t)) * math.sin(t_1))))
function code(eh, ew, t) t_1 = atan(Float64(Float64(Float64(-eh) * tan(t)) / ew)) return abs(Float64(Float64(Float64(ew * cos(t)) * cos(t_1)) - Float64(Float64(eh * sin(t)) * sin(t_1)))) end
function tmp = code(eh, ew, t) t_1 = atan(((-eh * tan(t)) / ew)); tmp = abs((((ew * cos(t)) * cos(t_1)) - ((eh * sin(t)) * sin(t_1)))); end
code[eh_, ew_, t_] := Block[{t$95$1 = N[ArcTan[N[(N[((-eh) * N[Tan[t], $MachinePrecision]), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]}, N[Abs[N[(N[(N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision] * N[Cos[t$95$1], $MachinePrecision]), $MachinePrecision] - N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Sin[t$95$1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \tan^{-1} \left(\frac{\left(-eh\right) \cdot \tan t}{ew}\right)\\
\left|\left(ew \cdot \cos t\right) \cdot \cos t\_1 - \left(eh \cdot \sin t\right) \cdot \sin t\_1\right|
\end{array}
\end{array}
(FPCore (eh ew t)
:precision binary64
(let* ((t_1 (* (tan t) eh)))
(fabs
(-
(* (/ ew (hypot 1.0 (/ t_1 ew))) (cos t))
(* (* eh (sin t)) (sin (atan (/ t_1 (- 0.0 ew)))))))))
double code(double eh, double ew, double t) {
double t_1 = tan(t) * eh;
return fabs((((ew / hypot(1.0, (t_1 / ew))) * cos(t)) - ((eh * sin(t)) * sin(atan((t_1 / (0.0 - ew)))))));
}
public static double code(double eh, double ew, double t) {
double t_1 = Math.tan(t) * eh;
return Math.abs((((ew / Math.hypot(1.0, (t_1 / ew))) * Math.cos(t)) - ((eh * Math.sin(t)) * Math.sin(Math.atan((t_1 / (0.0 - ew)))))));
}
def code(eh, ew, t): t_1 = math.tan(t) * eh return math.fabs((((ew / math.hypot(1.0, (t_1 / ew))) * math.cos(t)) - ((eh * math.sin(t)) * math.sin(math.atan((t_1 / (0.0 - ew)))))))
function code(eh, ew, t) t_1 = Float64(tan(t) * eh) return abs(Float64(Float64(Float64(ew / hypot(1.0, Float64(t_1 / ew))) * cos(t)) - Float64(Float64(eh * sin(t)) * sin(atan(Float64(t_1 / Float64(0.0 - ew))))))) end
function tmp = code(eh, ew, t) t_1 = tan(t) * eh; tmp = abs((((ew / hypot(1.0, (t_1 / ew))) * cos(t)) - ((eh * sin(t)) * sin(atan((t_1 / (0.0 - ew))))))); end
code[eh_, ew_, t_] := Block[{t$95$1 = N[(N[Tan[t], $MachinePrecision] * eh), $MachinePrecision]}, N[Abs[N[(N[(N[(ew / N[Sqrt[1.0 ^ 2 + N[(t$95$1 / ew), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision] * N[Cos[t], $MachinePrecision]), $MachinePrecision] - N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Sin[N[ArcTan[N[(t$95$1 / N[(0.0 - ew), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \tan t \cdot eh\\
\left|\frac{ew}{\mathsf{hypot}\left(1, \frac{t\_1}{ew}\right)} \cdot \cos t - \left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(\frac{t\_1}{0 - ew}\right)\right|
\end{array}
\end{array}
Initial program 99.8%
cos-atanN/A
/-lowering-/.f64N/A
frac-2negN/A
distribute-frac-neg2N/A
frac-2negN/A
distribute-frac-neg2N/A
sqr-negN/A
hypot-1-defN/A
hypot-lowering-hypot.f64N/A
/-lowering-/.f64N/A
Applied egg-rr99.8%
*-commutativeN/A
associate-*r*N/A
Applied egg-rr99.8%
Final simplification99.8%
(FPCore (eh ew t) :precision binary64 (fabs (- (* (* ew (cos t)) (/ 1.0 (hypot 1.0 (/ (* (tan t) eh) ew)))) (* (* eh (sin t)) (sin (atan (- 0.0 (/ (* t eh) ew))))))))
double code(double eh, double ew, double t) {
return fabs((((ew * cos(t)) * (1.0 / hypot(1.0, ((tan(t) * eh) / ew)))) - ((eh * sin(t)) * sin(atan((0.0 - ((t * eh) / ew)))))));
}
public static double code(double eh, double ew, double t) {
return Math.abs((((ew * Math.cos(t)) * (1.0 / Math.hypot(1.0, ((Math.tan(t) * eh) / ew)))) - ((eh * Math.sin(t)) * Math.sin(Math.atan((0.0 - ((t * eh) / ew)))))));
}
def code(eh, ew, t): return math.fabs((((ew * math.cos(t)) * (1.0 / math.hypot(1.0, ((math.tan(t) * eh) / ew)))) - ((eh * math.sin(t)) * math.sin(math.atan((0.0 - ((t * eh) / ew)))))))
function code(eh, ew, t) return abs(Float64(Float64(Float64(ew * cos(t)) * Float64(1.0 / hypot(1.0, Float64(Float64(tan(t) * eh) / ew)))) - Float64(Float64(eh * sin(t)) * sin(atan(Float64(0.0 - Float64(Float64(t * eh) / ew))))))) end
function tmp = code(eh, ew, t) tmp = abs((((ew * cos(t)) * (1.0 / hypot(1.0, ((tan(t) * eh) / ew)))) - ((eh * sin(t)) * sin(atan((0.0 - ((t * eh) / ew))))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Sqrt[1.0 ^ 2 + N[(N[(N[Tan[t], $MachinePrecision] * eh), $MachinePrecision] / ew), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Sin[N[ArcTan[N[(0.0 - N[(N[(t * eh), $MachinePrecision] / ew), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\left(ew \cdot \cos t\right) \cdot \frac{1}{\mathsf{hypot}\left(1, \frac{\tan t \cdot eh}{ew}\right)} - \left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(0 - \frac{t \cdot eh}{ew}\right)\right|
\end{array}
Initial program 99.8%
cos-atanN/A
/-lowering-/.f64N/A
frac-2negN/A
distribute-frac-neg2N/A
frac-2negN/A
distribute-frac-neg2N/A
sqr-negN/A
hypot-1-defN/A
hypot-lowering-hypot.f64N/A
/-lowering-/.f64N/A
Applied egg-rr99.8%
Taylor expanded in t around 0
Simplified98.6%
Final simplification98.6%
(FPCore (eh ew t) :precision binary64 (fabs (- (* ew (cos t)) (* (* eh (sin t)) (sin (atan (/ (* (tan t) eh) (- 0.0 ew))))))))
double code(double eh, double ew, double t) {
return fabs(((ew * cos(t)) - ((eh * sin(t)) * sin(atan(((tan(t) * eh) / (0.0 - ew)))))));
}
real(8) function code(eh, ew, t)
real(8), intent (in) :: eh
real(8), intent (in) :: ew
real(8), intent (in) :: t
code = abs(((ew * cos(t)) - ((eh * sin(t)) * sin(atan(((tan(t) * eh) / (0.0d0 - ew)))))))
end function
public static double code(double eh, double ew, double t) {
return Math.abs(((ew * Math.cos(t)) - ((eh * Math.sin(t)) * Math.sin(Math.atan(((Math.tan(t) * eh) / (0.0 - ew)))))));
}
def code(eh, ew, t): return math.fabs(((ew * math.cos(t)) - ((eh * math.sin(t)) * math.sin(math.atan(((math.tan(t) * eh) / (0.0 - ew)))))))
function code(eh, ew, t) return abs(Float64(Float64(ew * cos(t)) - Float64(Float64(eh * sin(t)) * sin(atan(Float64(Float64(tan(t) * eh) / Float64(0.0 - ew))))))) end
function tmp = code(eh, ew, t) tmp = abs(((ew * cos(t)) - ((eh * sin(t)) * sin(atan(((tan(t) * eh) / (0.0 - ew))))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision] - N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Sin[N[ArcTan[N[(N[(N[Tan[t], $MachinePrecision] * eh), $MachinePrecision] / N[(0.0 - ew), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|ew \cdot \cos t - \left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(\frac{\tan t \cdot eh}{0 - ew}\right)\right|
\end{array}
Initial program 99.8%
cos-atanN/A
/-lowering-/.f64N/A
frac-2negN/A
distribute-frac-neg2N/A
frac-2negN/A
distribute-frac-neg2N/A
sqr-negN/A
hypot-1-defN/A
hypot-lowering-hypot.f64N/A
/-lowering-/.f64N/A
Applied egg-rr99.8%
Taylor expanded in ew around inf
*-lowering-*.f64N/A
cos-lowering-cos.f6498.3%
Simplified98.3%
Final simplification98.3%
(FPCore (eh ew t) :precision binary64 (fabs (fma eh (- 0.0 (sin t)) (/ (cos t) (/ (hypot 1.0 (/ (* (tan t) eh) ew)) ew)))))
double code(double eh, double ew, double t) {
return fabs(fma(eh, (0.0 - sin(t)), (cos(t) / (hypot(1.0, ((tan(t) * eh) / ew)) / ew))));
}
function code(eh, ew, t) return abs(fma(eh, Float64(0.0 - sin(t)), Float64(cos(t) / Float64(hypot(1.0, Float64(Float64(tan(t) * eh) / ew)) / ew)))) end
code[eh_, ew_, t_] := N[Abs[N[(eh * N[(0.0 - N[Sin[t], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[t], $MachinePrecision] / N[(N[Sqrt[1.0 ^ 2 + N[(N[(N[Tan[t], $MachinePrecision] * eh), $MachinePrecision] / ew), $MachinePrecision] ^ 2], $MachinePrecision] / ew), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\mathsf{fma}\left(eh, 0 - \sin t, \frac{\cos t}{\frac{\mathsf{hypot}\left(1, \frac{\tan t \cdot eh}{ew}\right)}{ew}}\right)\right|
\end{array}
Initial program 99.8%
cos-atanN/A
/-lowering-/.f64N/A
frac-2negN/A
distribute-frac-neg2N/A
frac-2negN/A
distribute-frac-neg2N/A
sqr-negN/A
hypot-1-defN/A
hypot-lowering-hypot.f64N/A
/-lowering-/.f64N/A
Applied egg-rr99.8%
Taylor expanded in t around 0
Simplified98.6%
sub-negN/A
+-commutativeN/A
associate-*l*N/A
distribute-rgt-neg-inN/A
fma-defineN/A
fma-lowering-fma.f64N/A
Applied egg-rr76.7%
Taylor expanded in t around -inf
mul-1-negN/A
neg-lowering-neg.f64N/A
sin-lowering-sin.f6497.6%
Simplified97.6%
Final simplification97.6%
(FPCore (eh ew t)
:precision binary64
(let* ((t_1 (fabs (* ew (cos t)))))
(if (<= ew -4.6e+123)
t_1
(if (<= ew 1e+23)
(fabs
(- ew (* (* eh (sin t)) (sin (atan (/ (* (tan t) eh) (- 0.0 ew)))))))
t_1))))
double code(double eh, double ew, double t) {
double t_1 = fabs((ew * cos(t)));
double tmp;
if (ew <= -4.6e+123) {
tmp = t_1;
} else if (ew <= 1e+23) {
tmp = fabs((ew - ((eh * sin(t)) * sin(atan(((tan(t) * eh) / (0.0 - ew)))))));
} else {
tmp = t_1;
}
return tmp;
}
real(8) function code(eh, ew, t)
real(8), intent (in) :: eh
real(8), intent (in) :: ew
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: tmp
t_1 = abs((ew * cos(t)))
if (ew <= (-4.6d+123)) then
tmp = t_1
else if (ew <= 1d+23) then
tmp = abs((ew - ((eh * sin(t)) * sin(atan(((tan(t) * eh) / (0.0d0 - ew)))))))
else
tmp = t_1
end if
code = tmp
end function
public static double code(double eh, double ew, double t) {
double t_1 = Math.abs((ew * Math.cos(t)));
double tmp;
if (ew <= -4.6e+123) {
tmp = t_1;
} else if (ew <= 1e+23) {
tmp = Math.abs((ew - ((eh * Math.sin(t)) * Math.sin(Math.atan(((Math.tan(t) * eh) / (0.0 - ew)))))));
} else {
tmp = t_1;
}
return tmp;
}
def code(eh, ew, t): t_1 = math.fabs((ew * math.cos(t))) tmp = 0 if ew <= -4.6e+123: tmp = t_1 elif ew <= 1e+23: tmp = math.fabs((ew - ((eh * math.sin(t)) * math.sin(math.atan(((math.tan(t) * eh) / (0.0 - ew))))))) else: tmp = t_1 return tmp
function code(eh, ew, t) t_1 = abs(Float64(ew * cos(t))) tmp = 0.0 if (ew <= -4.6e+123) tmp = t_1; elseif (ew <= 1e+23) tmp = abs(Float64(ew - Float64(Float64(eh * sin(t)) * sin(atan(Float64(Float64(tan(t) * eh) / Float64(0.0 - ew))))))); else tmp = t_1; end return tmp end
function tmp_2 = code(eh, ew, t) t_1 = abs((ew * cos(t))); tmp = 0.0; if (ew <= -4.6e+123) tmp = t_1; elseif (ew <= 1e+23) tmp = abs((ew - ((eh * sin(t)) * sin(atan(((tan(t) * eh) / (0.0 - ew))))))); else tmp = t_1; end tmp_2 = tmp; end
code[eh_, ew_, t_] := Block[{t$95$1 = N[Abs[N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[ew, -4.6e+123], t$95$1, If[LessEqual[ew, 1e+23], N[Abs[N[(ew - N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Sin[N[ArcTan[N[(N[(N[Tan[t], $MachinePrecision] * eh), $MachinePrecision] / N[(0.0 - ew), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], t$95$1]]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \left|ew \cdot \cos t\right|\\
\mathbf{if}\;ew \leq -4.6 \cdot 10^{+123}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;ew \leq 10^{+23}:\\
\;\;\;\;\left|ew - \left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(\frac{\tan t \cdot eh}{0 - ew}\right)\right|\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if ew < -4.59999999999999981e123 or 9.9999999999999992e22 < ew Initial program 99.9%
cos-atanN/A
/-lowering-/.f64N/A
frac-2negN/A
distribute-frac-neg2N/A
frac-2negN/A
distribute-frac-neg2N/A
sqr-negN/A
hypot-1-defN/A
hypot-lowering-hypot.f64N/A
/-lowering-/.f64N/A
Applied egg-rr99.9%
Taylor expanded in ew around inf
*-lowering-*.f64N/A
cos-lowering-cos.f6490.8%
Simplified90.8%
if -4.59999999999999981e123 < ew < 9.9999999999999992e22Initial program 99.7%
cos-atanN/A
/-lowering-/.f64N/A
frac-2negN/A
distribute-frac-neg2N/A
frac-2negN/A
distribute-frac-neg2N/A
sqr-negN/A
hypot-1-defN/A
hypot-lowering-hypot.f64N/A
/-lowering-/.f64N/A
Applied egg-rr99.7%
Taylor expanded in t around 0
Simplified88.2%
Final simplification89.2%
(FPCore (eh ew t) :precision binary64 (fabs (+ (* eh (sin t)) (/ (cos t) (/ (hypot 1.0 (/ eh (/ ew (tan t)))) ew)))))
double code(double eh, double ew, double t) {
return fabs(((eh * sin(t)) + (cos(t) / (hypot(1.0, (eh / (ew / tan(t)))) / ew))));
}
public static double code(double eh, double ew, double t) {
return Math.abs(((eh * Math.sin(t)) + (Math.cos(t) / (Math.hypot(1.0, (eh / (ew / Math.tan(t)))) / ew))));
}
def code(eh, ew, t): return math.fabs(((eh * math.sin(t)) + (math.cos(t) / (math.hypot(1.0, (eh / (ew / math.tan(t)))) / ew))))
function code(eh, ew, t) return abs(Float64(Float64(eh * sin(t)) + Float64(cos(t) / Float64(hypot(1.0, Float64(eh / Float64(ew / tan(t)))) / ew)))) end
function tmp = code(eh, ew, t) tmp = abs(((eh * sin(t)) + (cos(t) / (hypot(1.0, (eh / (ew / tan(t)))) / ew)))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[t], $MachinePrecision] / N[(N[Sqrt[1.0 ^ 2 + N[(eh / N[(ew / N[Tan[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] ^ 2], $MachinePrecision] / ew), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|eh \cdot \sin t + \frac{\cos t}{\frac{\mathsf{hypot}\left(1, \frac{eh}{\frac{ew}{\tan t}}\right)}{ew}}\right|
\end{array}
Initial program 99.8%
associate-/l*N/A
*-commutativeN/A
neg-sub0N/A
flip--N/A
associate-*r/N/A
/-lowering-/.f64N/A
Applied egg-rr94.3%
sin-atanN/A
associate-/l/N/A
/-lowering-/.f64N/A
*-commutativeN/A
clear-numN/A
un-div-invN/A
/-lowering-/.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
tan-lowering-tan.f64N/A
*-lowering-*.f64N/A
Applied egg-rr71.1%
Taylor expanded in ew around 0
associate-*r*N/A
mul-1-negN/A
cancel-sign-subN/A
+-lowering-+.f64N/A
Simplified97.7%
cos-atanN/A
un-div-invN/A
hypot-1-defN/A
associate-*r/N/A
*-commutativeN/A
div0N/A
div-subN/A
hypot-1-defN/A
*-commutativeN/A
metadata-evalN/A
pow2N/A
Applied egg-rr97.6%
Final simplification97.6%
(FPCore (eh ew t)
:precision binary64
(let* ((t_1 (fabs (* ew (cos t)))))
(if (<= ew -1.65e-126)
t_1
(if (<= ew 5.4e-118) (fabs (* eh (sin t))) t_1))))
double code(double eh, double ew, double t) {
double t_1 = fabs((ew * cos(t)));
double tmp;
if (ew <= -1.65e-126) {
tmp = t_1;
} else if (ew <= 5.4e-118) {
tmp = fabs((eh * sin(t)));
} else {
tmp = t_1;
}
return tmp;
}
real(8) function code(eh, ew, t)
real(8), intent (in) :: eh
real(8), intent (in) :: ew
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: tmp
t_1 = abs((ew * cos(t)))
if (ew <= (-1.65d-126)) then
tmp = t_1
else if (ew <= 5.4d-118) then
tmp = abs((eh * sin(t)))
else
tmp = t_1
end if
code = tmp
end function
public static double code(double eh, double ew, double t) {
double t_1 = Math.abs((ew * Math.cos(t)));
double tmp;
if (ew <= -1.65e-126) {
tmp = t_1;
} else if (ew <= 5.4e-118) {
tmp = Math.abs((eh * Math.sin(t)));
} else {
tmp = t_1;
}
return tmp;
}
def code(eh, ew, t): t_1 = math.fabs((ew * math.cos(t))) tmp = 0 if ew <= -1.65e-126: tmp = t_1 elif ew <= 5.4e-118: tmp = math.fabs((eh * math.sin(t))) else: tmp = t_1 return tmp
function code(eh, ew, t) t_1 = abs(Float64(ew * cos(t))) tmp = 0.0 if (ew <= -1.65e-126) tmp = t_1; elseif (ew <= 5.4e-118) tmp = abs(Float64(eh * sin(t))); else tmp = t_1; end return tmp end
function tmp_2 = code(eh, ew, t) t_1 = abs((ew * cos(t))); tmp = 0.0; if (ew <= -1.65e-126) tmp = t_1; elseif (ew <= 5.4e-118) tmp = abs((eh * sin(t))); else tmp = t_1; end tmp_2 = tmp; end
code[eh_, ew_, t_] := Block[{t$95$1 = N[Abs[N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[ew, -1.65e-126], t$95$1, If[LessEqual[ew, 5.4e-118], N[Abs[N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision]], $MachinePrecision], t$95$1]]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \left|ew \cdot \cos t\right|\\
\mathbf{if}\;ew \leq -1.65 \cdot 10^{-126}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;ew \leq 5.4 \cdot 10^{-118}:\\
\;\;\;\;\left|eh \cdot \sin t\right|\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if ew < -1.65e-126 or 5.39999999999999988e-118 < ew Initial program 99.8%
cos-atanN/A
/-lowering-/.f64N/A
frac-2negN/A
distribute-frac-neg2N/A
frac-2negN/A
distribute-frac-neg2N/A
sqr-negN/A
hypot-1-defN/A
hypot-lowering-hypot.f64N/A
/-lowering-/.f64N/A
Applied egg-rr99.8%
Taylor expanded in ew around inf
*-lowering-*.f64N/A
cos-lowering-cos.f6478.6%
Simplified78.6%
if -1.65e-126 < ew < 5.39999999999999988e-118Initial program 99.7%
associate-/l*N/A
*-commutativeN/A
neg-sub0N/A
flip--N/A
associate-*r/N/A
/-lowering-/.f64N/A
Applied egg-rr94.4%
sin-atanN/A
associate-/l/N/A
/-lowering-/.f64N/A
*-commutativeN/A
clear-numN/A
un-div-invN/A
/-lowering-/.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
tan-lowering-tan.f64N/A
*-lowering-*.f64N/A
Applied egg-rr53.8%
Taylor expanded in ew around 0
*-lowering-*.f64N/A
sin-lowering-sin.f6483.1%
Simplified83.1%
(FPCore (eh ew t) :precision binary64 (if (<= ew -3.5e+28) (fabs ew) (if (<= ew 3e-77) (fabs (* eh (sin t))) (fabs ew))))
double code(double eh, double ew, double t) {
double tmp;
if (ew <= -3.5e+28) {
tmp = fabs(ew);
} else if (ew <= 3e-77) {
tmp = fabs((eh * sin(t)));
} else {
tmp = fabs(ew);
}
return tmp;
}
real(8) function code(eh, ew, t)
real(8), intent (in) :: eh
real(8), intent (in) :: ew
real(8), intent (in) :: t
real(8) :: tmp
if (ew <= (-3.5d+28)) then
tmp = abs(ew)
else if (ew <= 3d-77) then
tmp = abs((eh * sin(t)))
else
tmp = abs(ew)
end if
code = tmp
end function
public static double code(double eh, double ew, double t) {
double tmp;
if (ew <= -3.5e+28) {
tmp = Math.abs(ew);
} else if (ew <= 3e-77) {
tmp = Math.abs((eh * Math.sin(t)));
} else {
tmp = Math.abs(ew);
}
return tmp;
}
def code(eh, ew, t): tmp = 0 if ew <= -3.5e+28: tmp = math.fabs(ew) elif ew <= 3e-77: tmp = math.fabs((eh * math.sin(t))) else: tmp = math.fabs(ew) return tmp
function code(eh, ew, t) tmp = 0.0 if (ew <= -3.5e+28) tmp = abs(ew); elseif (ew <= 3e-77) tmp = abs(Float64(eh * sin(t))); else tmp = abs(ew); end return tmp end
function tmp_2 = code(eh, ew, t) tmp = 0.0; if (ew <= -3.5e+28) tmp = abs(ew); elseif (ew <= 3e-77) tmp = abs((eh * sin(t))); else tmp = abs(ew); end tmp_2 = tmp; end
code[eh_, ew_, t_] := If[LessEqual[ew, -3.5e+28], N[Abs[ew], $MachinePrecision], If[LessEqual[ew, 3e-77], N[Abs[N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision]], $MachinePrecision], N[Abs[ew], $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;ew \leq -3.5 \cdot 10^{+28}:\\
\;\;\;\;\left|ew\right|\\
\mathbf{elif}\;ew \leq 3 \cdot 10^{-77}:\\
\;\;\;\;\left|eh \cdot \sin t\right|\\
\mathbf{else}:\\
\;\;\;\;\left|ew\right|\\
\end{array}
\end{array}
if ew < -3.5e28 or 3.00000000000000016e-77 < ew Initial program 99.8%
cos-atanN/A
/-lowering-/.f64N/A
frac-2negN/A
distribute-frac-neg2N/A
frac-2negN/A
distribute-frac-neg2N/A
sqr-negN/A
hypot-1-defN/A
hypot-lowering-hypot.f64N/A
/-lowering-/.f64N/A
Applied egg-rr99.8%
Taylor expanded in t around 0
Simplified53.2%
if -3.5e28 < ew < 3.00000000000000016e-77Initial program 99.8%
associate-/l*N/A
*-commutativeN/A
neg-sub0N/A
flip--N/A
associate-*r/N/A
/-lowering-/.f64N/A
Applied egg-rr96.2%
sin-atanN/A
associate-/l/N/A
/-lowering-/.f64N/A
*-commutativeN/A
clear-numN/A
un-div-invN/A
/-lowering-/.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
tan-lowering-tan.f64N/A
*-lowering-*.f64N/A
Applied egg-rr63.8%
Taylor expanded in ew around 0
*-lowering-*.f64N/A
sin-lowering-sin.f6471.8%
Simplified71.8%
(FPCore (eh ew t) :precision binary64 (if (<= ew -1.5e-181) (fabs ew) (if (<= ew 2.5e-143) (fabs (* t eh)) (fabs ew))))
double code(double eh, double ew, double t) {
double tmp;
if (ew <= -1.5e-181) {
tmp = fabs(ew);
} else if (ew <= 2.5e-143) {
tmp = fabs((t * eh));
} else {
tmp = fabs(ew);
}
return tmp;
}
real(8) function code(eh, ew, t)
real(8), intent (in) :: eh
real(8), intent (in) :: ew
real(8), intent (in) :: t
real(8) :: tmp
if (ew <= (-1.5d-181)) then
tmp = abs(ew)
else if (ew <= 2.5d-143) then
tmp = abs((t * eh))
else
tmp = abs(ew)
end if
code = tmp
end function
public static double code(double eh, double ew, double t) {
double tmp;
if (ew <= -1.5e-181) {
tmp = Math.abs(ew);
} else if (ew <= 2.5e-143) {
tmp = Math.abs((t * eh));
} else {
tmp = Math.abs(ew);
}
return tmp;
}
def code(eh, ew, t): tmp = 0 if ew <= -1.5e-181: tmp = math.fabs(ew) elif ew <= 2.5e-143: tmp = math.fabs((t * eh)) else: tmp = math.fabs(ew) return tmp
function code(eh, ew, t) tmp = 0.0 if (ew <= -1.5e-181) tmp = abs(ew); elseif (ew <= 2.5e-143) tmp = abs(Float64(t * eh)); else tmp = abs(ew); end return tmp end
function tmp_2 = code(eh, ew, t) tmp = 0.0; if (ew <= -1.5e-181) tmp = abs(ew); elseif (ew <= 2.5e-143) tmp = abs((t * eh)); else tmp = abs(ew); end tmp_2 = tmp; end
code[eh_, ew_, t_] := If[LessEqual[ew, -1.5e-181], N[Abs[ew], $MachinePrecision], If[LessEqual[ew, 2.5e-143], N[Abs[N[(t * eh), $MachinePrecision]], $MachinePrecision], N[Abs[ew], $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;ew \leq -1.5 \cdot 10^{-181}:\\
\;\;\;\;\left|ew\right|\\
\mathbf{elif}\;ew \leq 2.5 \cdot 10^{-143}:\\
\;\;\;\;\left|t \cdot eh\right|\\
\mathbf{else}:\\
\;\;\;\;\left|ew\right|\\
\end{array}
\end{array}
if ew < -1.49999999999999987e-181 or 2.5000000000000001e-143 < ew Initial program 99.8%
cos-atanN/A
/-lowering-/.f64N/A
frac-2negN/A
distribute-frac-neg2N/A
frac-2negN/A
distribute-frac-neg2N/A
sqr-negN/A
hypot-1-defN/A
hypot-lowering-hypot.f64N/A
/-lowering-/.f64N/A
Applied egg-rr99.8%
Taylor expanded in t around 0
Simplified47.1%
if -1.49999999999999987e-181 < ew < 2.5000000000000001e-143Initial program 99.8%
associate-/l*N/A
*-commutativeN/A
neg-sub0N/A
flip--N/A
associate-*r/N/A
/-lowering-/.f64N/A
Applied egg-rr92.7%
sin-atanN/A
associate-/l/N/A
/-lowering-/.f64N/A
*-commutativeN/A
clear-numN/A
un-div-invN/A
/-lowering-/.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
tan-lowering-tan.f64N/A
*-lowering-*.f64N/A
Applied egg-rr51.8%
Taylor expanded in ew around 0
*-lowering-*.f64N/A
sin-lowering-sin.f6486.1%
Simplified86.1%
Taylor expanded in t around 0
*-commutativeN/A
*-lowering-*.f6440.4%
Simplified40.4%
(FPCore (eh ew t) :precision binary64 (fabs ew))
double code(double eh, double ew, double t) {
return fabs(ew);
}
real(8) function code(eh, ew, t)
real(8), intent (in) :: eh
real(8), intent (in) :: ew
real(8), intent (in) :: t
code = abs(ew)
end function
public static double code(double eh, double ew, double t) {
return Math.abs(ew);
}
def code(eh, ew, t): return math.fabs(ew)
function code(eh, ew, t) return abs(ew) end
function tmp = code(eh, ew, t) tmp = abs(ew); end
code[eh_, ew_, t_] := N[Abs[ew], $MachinePrecision]
\begin{array}{l}
\\
\left|ew\right|
\end{array}
Initial program 99.8%
cos-atanN/A
/-lowering-/.f64N/A
frac-2negN/A
distribute-frac-neg2N/A
frac-2negN/A
distribute-frac-neg2N/A
sqr-negN/A
hypot-1-defN/A
hypot-lowering-hypot.f64N/A
/-lowering-/.f64N/A
Applied egg-rr99.8%
Taylor expanded in t around 0
Simplified39.3%
herbie shell --seed 2024158
(FPCore (eh ew t)
:name "Example 2 from Robby"
:precision binary64
(fabs (- (* (* ew (cos t)) (cos (atan (/ (* (- eh) (tan t)) ew)))) (* (* eh (sin t)) (sin (atan (/ (* (- eh) (tan t)) ew)))))))