
(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 8 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 (fabs (- (* (* eh (sin (atan (- 0.0 (* eh (/ (tan t) ew)))))) (sin t)) (/ (* ew (cos t)) (hypot 1.0 (/ (tan t) (/ ew eh)))))))
double code(double eh, double ew, double t) {
return fabs((((eh * sin(atan((0.0 - (eh * (tan(t) / ew)))))) * sin(t)) - ((ew * cos(t)) / hypot(1.0, (tan(t) / (ew / eh))))));
}
public static double code(double eh, double ew, double t) {
return Math.abs((((eh * Math.sin(Math.atan((0.0 - (eh * (Math.tan(t) / ew)))))) * Math.sin(t)) - ((ew * Math.cos(t)) / Math.hypot(1.0, (Math.tan(t) / (ew / eh))))));
}
def code(eh, ew, t): return math.fabs((((eh * math.sin(math.atan((0.0 - (eh * (math.tan(t) / ew)))))) * math.sin(t)) - ((ew * math.cos(t)) / math.hypot(1.0, (math.tan(t) / (ew / eh))))))
function code(eh, ew, t) return abs(Float64(Float64(Float64(eh * sin(atan(Float64(0.0 - Float64(eh * Float64(tan(t) / ew)))))) * sin(t)) - Float64(Float64(ew * cos(t)) / hypot(1.0, Float64(tan(t) / Float64(ew / eh)))))) end
function tmp = code(eh, ew, t) tmp = abs((((eh * sin(atan((0.0 - (eh * (tan(t) / ew)))))) * sin(t)) - ((ew * cos(t)) / hypot(1.0, (tan(t) / (ew / eh)))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(N[(eh * N[Sin[N[ArcTan[N[(0.0 - N[(eh * N[(N[Tan[t], $MachinePrecision] / ew), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sin[t], $MachinePrecision]), $MachinePrecision] - N[(N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision] / N[Sqrt[1.0 ^ 2 + N[(N[Tan[t], $MachinePrecision] / N[(ew / eh), $MachinePrecision]), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\left(eh \cdot \sin \tan^{-1} \left(0 - eh \cdot \frac{\tan t}{ew}\right)\right) \cdot \sin t - \frac{ew \cdot \cos t}{\mathsf{hypot}\left(1, \frac{\tan t}{\frac{ew}{eh}}\right)}\right|
\end{array}
Initial 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%
fabs-lowering-fabs.f64N/A
--lowering--.f64N/A
Applied egg-rr99.7%
associate-*r*N/A
*-commutativeN/A
associate-/r/N/A
associate-*l/N/A
neg-sub0N/A
associate-*r*N/A
neg-sub0N/A
associate-*l/N/A
associate-/r/N/A
*-lowering-*.f64N/A
Applied egg-rr99.8%
sub0-negN/A
div-invN/A
clear-numN/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
tan-lowering-tan.f6499.8%
Applied egg-rr99.8%
Final simplification99.8%
(FPCore (eh ew t) :precision binary64 (fabs (- (* (cos (atan (/ (* (tan t) eh) (- 0.0 ew)))) (* ew (cos t))) (* (* eh (sin t)) (sin (atan (/ (* t (- 0.0 eh)) ew)))))))
double code(double eh, double ew, double t) {
return fabs(((cos(atan(((tan(t) * eh) / (0.0 - ew)))) * (ew * cos(t))) - ((eh * sin(t)) * sin(atan(((t * (0.0 - eh)) / 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(((cos(atan(((tan(t) * eh) / (0.0d0 - ew)))) * (ew * cos(t))) - ((eh * sin(t)) * sin(atan(((t * (0.0d0 - eh)) / ew))))))
end function
public static double code(double eh, double ew, double t) {
return Math.abs(((Math.cos(Math.atan(((Math.tan(t) * eh) / (0.0 - ew)))) * (ew * Math.cos(t))) - ((eh * Math.sin(t)) * Math.sin(Math.atan(((t * (0.0 - eh)) / ew))))));
}
def code(eh, ew, t): return math.fabs(((math.cos(math.atan(((math.tan(t) * eh) / (0.0 - ew)))) * (ew * math.cos(t))) - ((eh * math.sin(t)) * math.sin(math.atan(((t * (0.0 - eh)) / ew))))))
function code(eh, ew, t) return abs(Float64(Float64(cos(atan(Float64(Float64(tan(t) * eh) / Float64(0.0 - ew)))) * Float64(ew * cos(t))) - Float64(Float64(eh * sin(t)) * sin(atan(Float64(Float64(t * Float64(0.0 - eh)) / ew)))))) end
function tmp = code(eh, ew, t) tmp = abs(((cos(atan(((tan(t) * eh) / (0.0 - ew)))) * (ew * cos(t))) - ((eh * sin(t)) * sin(atan(((t * (0.0 - eh)) / ew)))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(N[Cos[N[ArcTan[N[(N[(N[Tan[t], $MachinePrecision] * eh), $MachinePrecision] / N[(0.0 - ew), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Sin[N[ArcTan[N[(N[(t * N[(0.0 - eh), $MachinePrecision]), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\cos \tan^{-1} \left(\frac{\tan t \cdot eh}{0 - ew}\right) \cdot \left(ew \cdot \cos t\right) - \left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(\frac{t \cdot \left(0 - eh\right)}{ew}\right)\right|
\end{array}
Initial program 99.7%
Taylor expanded in t around 0
Simplified99.2%
Final simplification99.2%
(FPCore (eh ew t) :precision binary64 (fabs (- (/ (* ew (cos t)) (hypot 1.0 (/ (tan t) (/ ew eh)))) (* (* eh (sin t)) (sin (atan (/ (* (tan t) eh) (- 0.0 ew))))))))
double code(double eh, double ew, double t) {
return fabs((((ew * cos(t)) / hypot(1.0, (tan(t) / (ew / eh)))) - ((eh * sin(t)) * sin(atan(((tan(t) * eh) / (0.0 - ew)))))));
}
public static double code(double eh, double ew, double t) {
return Math.abs((((ew * Math.cos(t)) / Math.hypot(1.0, (Math.tan(t) / (ew / eh)))) - ((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)) / math.hypot(1.0, (math.tan(t) / (ew / eh)))) - ((eh * math.sin(t)) * math.sin(math.atan(((math.tan(t) * eh) / (0.0 - ew)))))))
function code(eh, ew, t) return abs(Float64(Float64(Float64(ew * cos(t)) / hypot(1.0, Float64(tan(t) / Float64(ew / eh)))) - 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)) / hypot(1.0, (tan(t) / (ew / eh)))) - ((eh * sin(t)) * sin(atan(((tan(t) * eh) / (0.0 - ew))))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision] / N[Sqrt[1.0 ^ 2 + N[(N[Tan[t], $MachinePrecision] / N[(ew / eh), $MachinePrecision]), $MachinePrecision] ^ 2], $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|\frac{ew \cdot \cos t}{\mathsf{hypot}\left(1, \frac{\tan t}{\frac{ew}{eh}}\right)} - \left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(\frac{\tan t \cdot eh}{0 - ew}\right)\right|
\end{array}
Initial program 99.7%
frac-2negN/A
distribute-frac-neg2N/A
atan-negN/A
cos-negN/A
cos-lowering-cos.f64N/A
atan-lowering-atan.f64N/A
/-lowering-/.f64N/A
distribute-lft-neg-outN/A
remove-double-negN/A
*-commutativeN/A
+-lft-identityN/A
*-lowering-*.f64N/A
tan-lowering-tan.f64N/A
+-lft-identity99.7%
Applied egg-rr99.7%
cos-atanN/A
metadata-evalN/A
un-div-invN/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
hypot-undefineN/A
hypot-lowering-hypot.f64N/A
associate-/l*N/A
clear-numN/A
un-div-invN/A
/-lowering-/.f64N/A
tan-lowering-tan.f64N/A
/-lowering-/.f6499.7%
Applied egg-rr99.7%
Final simplification99.7%
(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 99.7%
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 eh around 0
mul-1-negN/A
+-commutativeN/A
unsub-negN/A
--lowering--.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f64N/A
atan-lowering-atan.f64N/A
mul-1-negN/A
distribute-neg-frac2N/A
mul-1-negN/A
/-lowering-/.f64N/A
Simplified97.4%
Final simplification97.4%
(FPCore (eh ew t)
:precision binary64
(let* ((t_1 (/ (tan t) (/ ew eh)))
(t_2 (* eh (sin t)))
(t_3 (fabs (* ew (cos t)))))
(if (<= ew -8.2e+34)
t_3
(if (<= ew -4.4e-194)
(fabs (/ (+ ew (* t_1 t_2)) (hypot 1.0 t_1)))
(if (<= ew 3.6e-106) (fabs t_2) t_3)))))
double code(double eh, double ew, double t) {
double t_1 = tan(t) / (ew / eh);
double t_2 = eh * sin(t);
double t_3 = fabs((ew * cos(t)));
double tmp;
if (ew <= -8.2e+34) {
tmp = t_3;
} else if (ew <= -4.4e-194) {
tmp = fabs(((ew + (t_1 * t_2)) / hypot(1.0, t_1)));
} else if (ew <= 3.6e-106) {
tmp = fabs(t_2);
} else {
tmp = t_3;
}
return tmp;
}
public static double code(double eh, double ew, double t) {
double t_1 = Math.tan(t) / (ew / eh);
double t_2 = eh * Math.sin(t);
double t_3 = Math.abs((ew * Math.cos(t)));
double tmp;
if (ew <= -8.2e+34) {
tmp = t_3;
} else if (ew <= -4.4e-194) {
tmp = Math.abs(((ew + (t_1 * t_2)) / Math.hypot(1.0, t_1)));
} else if (ew <= 3.6e-106) {
tmp = Math.abs(t_2);
} else {
tmp = t_3;
}
return tmp;
}
def code(eh, ew, t): t_1 = math.tan(t) / (ew / eh) t_2 = eh * math.sin(t) t_3 = math.fabs((ew * math.cos(t))) tmp = 0 if ew <= -8.2e+34: tmp = t_3 elif ew <= -4.4e-194: tmp = math.fabs(((ew + (t_1 * t_2)) / math.hypot(1.0, t_1))) elif ew <= 3.6e-106: tmp = math.fabs(t_2) else: tmp = t_3 return tmp
function code(eh, ew, t) t_1 = Float64(tan(t) / Float64(ew / eh)) t_2 = Float64(eh * sin(t)) t_3 = abs(Float64(ew * cos(t))) tmp = 0.0 if (ew <= -8.2e+34) tmp = t_3; elseif (ew <= -4.4e-194) tmp = abs(Float64(Float64(ew + Float64(t_1 * t_2)) / hypot(1.0, t_1))); elseif (ew <= 3.6e-106) tmp = abs(t_2); else tmp = t_3; end return tmp end
function tmp_2 = code(eh, ew, t) t_1 = tan(t) / (ew / eh); t_2 = eh * sin(t); t_3 = abs((ew * cos(t))); tmp = 0.0; if (ew <= -8.2e+34) tmp = t_3; elseif (ew <= -4.4e-194) tmp = abs(((ew + (t_1 * t_2)) / hypot(1.0, t_1))); elseif (ew <= 3.6e-106) tmp = abs(t_2); else tmp = t_3; end tmp_2 = tmp; end
code[eh_, ew_, t_] := Block[{t$95$1 = N[(N[Tan[t], $MachinePrecision] / N[(ew / eh), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Abs[N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[ew, -8.2e+34], t$95$3, If[LessEqual[ew, -4.4e-194], N[Abs[N[(N[(ew + N[(t$95$1 * t$95$2), $MachinePrecision]), $MachinePrecision] / N[Sqrt[1.0 ^ 2 + t$95$1 ^ 2], $MachinePrecision]), $MachinePrecision]], $MachinePrecision], If[LessEqual[ew, 3.6e-106], N[Abs[t$95$2], $MachinePrecision], t$95$3]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \frac{\tan t}{\frac{ew}{eh}}\\
t_2 := eh \cdot \sin t\\
t_3 := \left|ew \cdot \cos t\right|\\
\mathbf{if}\;ew \leq -8.2 \cdot 10^{+34}:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;ew \leq -4.4 \cdot 10^{-194}:\\
\;\;\;\;\left|\frac{ew + t\_1 \cdot t\_2}{\mathsf{hypot}\left(1, t\_1\right)}\right|\\
\mathbf{elif}\;ew \leq 3.6 \cdot 10^{-106}:\\
\;\;\;\;\left|t\_2\right|\\
\mathbf{else}:\\
\;\;\;\;t\_3\\
\end{array}
\end{array}
if ew < -8.1999999999999997e34 or 3.60000000000000013e-106 < 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
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f6485.3%
Simplified85.3%
if -8.1999999999999997e34 < ew < -4.4000000000000003e-194Initial 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%
fabs-lowering-fabs.f64N/A
--lowering--.f64N/A
Applied egg-rr99.8%
Taylor expanded in t around 0
Simplified92.1%
Applied egg-rr77.1%
if -4.4000000000000003e-194 < ew < 3.60000000000000013e-106Initial program 99.5%
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-rr99.5%
Taylor expanded in ew around 0
associate-*r*N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f64N/A
atan-lowering-atan.f64N/A
mul-1-negN/A
distribute-neg-frac2N/A
mul-1-negN/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
tan-lowering-tan.f64N/A
mul-1-negN/A
neg-lowering-neg.f6478.6%
Simplified78.6%
Applied egg-rr46.1%
Taylor expanded in eh around inf
*-lowering-*.f64N/A
sin-lowering-sin.f6478.7%
Simplified78.7%
Final simplification82.3%
(FPCore (eh ew t) :precision binary64 (let* ((t_1 (fabs (* ew (cos t))))) (if (<= ew -6e-62) t_1 (if (<= ew 5.8e-106) (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 <= -6e-62) {
tmp = t_1;
} else if (ew <= 5.8e-106) {
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 <= (-6d-62)) then
tmp = t_1
else if (ew <= 5.8d-106) 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 <= -6e-62) {
tmp = t_1;
} else if (ew <= 5.8e-106) {
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 <= -6e-62: tmp = t_1 elif ew <= 5.8e-106: 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 <= -6e-62) tmp = t_1; elseif (ew <= 5.8e-106) 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 <= -6e-62) tmp = t_1; elseif (ew <= 5.8e-106) 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, -6e-62], t$95$1, If[LessEqual[ew, 5.8e-106], 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 -6 \cdot 10^{-62}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;ew \leq 5.8 \cdot 10^{-106}:\\
\;\;\;\;\left|eh \cdot \sin t\right|\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if ew < -6.0000000000000002e-62 or 5.8000000000000001e-106 < 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
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f6483.3%
Simplified83.3%
if -6.0000000000000002e-62 < ew < 5.8000000000000001e-106Initial program 99.6%
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-rr99.6%
Taylor expanded in ew around 0
associate-*r*N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f64N/A
atan-lowering-atan.f64N/A
mul-1-negN/A
distribute-neg-frac2N/A
mul-1-negN/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
tan-lowering-tan.f64N/A
mul-1-negN/A
neg-lowering-neg.f6475.2%
Simplified75.2%
Applied egg-rr45.6%
Taylor expanded in eh around inf
*-lowering-*.f64N/A
sin-lowering-sin.f6475.5%
Simplified75.5%
Final simplification80.6%
(FPCore (eh ew t)
:precision binary64
(let* ((t_1 (fabs (* eh (sin t)))))
(if (<= t -0.065)
t_1
(if (<= t 6.2e-27)
(fabs
(* ew (+ (* (* t t) (+ (* (* t t) 0.041666666666666664) -0.5)) 1.0)))
t_1))))
double code(double eh, double ew, double t) {
double t_1 = fabs((eh * sin(t)));
double tmp;
if (t <= -0.065) {
tmp = t_1;
} else if (t <= 6.2e-27) {
tmp = fabs((ew * (((t * t) * (((t * t) * 0.041666666666666664) + -0.5)) + 1.0)));
} 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((eh * sin(t)))
if (t <= (-0.065d0)) then
tmp = t_1
else if (t <= 6.2d-27) then
tmp = abs((ew * (((t * t) * (((t * t) * 0.041666666666666664d0) + (-0.5d0))) + 1.0d0)))
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((eh * Math.sin(t)));
double tmp;
if (t <= -0.065) {
tmp = t_1;
} else if (t <= 6.2e-27) {
tmp = Math.abs((ew * (((t * t) * (((t * t) * 0.041666666666666664) + -0.5)) + 1.0)));
} else {
tmp = t_1;
}
return tmp;
}
def code(eh, ew, t): t_1 = math.fabs((eh * math.sin(t))) tmp = 0 if t <= -0.065: tmp = t_1 elif t <= 6.2e-27: tmp = math.fabs((ew * (((t * t) * (((t * t) * 0.041666666666666664) + -0.5)) + 1.0))) else: tmp = t_1 return tmp
function code(eh, ew, t) t_1 = abs(Float64(eh * sin(t))) tmp = 0.0 if (t <= -0.065) tmp = t_1; elseif (t <= 6.2e-27) tmp = abs(Float64(ew * Float64(Float64(Float64(t * t) * Float64(Float64(Float64(t * t) * 0.041666666666666664) + -0.5)) + 1.0))); else tmp = t_1; end return tmp end
function tmp_2 = code(eh, ew, t) t_1 = abs((eh * sin(t))); tmp = 0.0; if (t <= -0.065) tmp = t_1; elseif (t <= 6.2e-27) tmp = abs((ew * (((t * t) * (((t * t) * 0.041666666666666664) + -0.5)) + 1.0))); else tmp = t_1; end tmp_2 = tmp; end
code[eh_, ew_, t_] := Block[{t$95$1 = N[Abs[N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t, -0.065], t$95$1, If[LessEqual[t, 6.2e-27], N[Abs[N[(ew * N[(N[(N[(t * t), $MachinePrecision] * N[(N[(N[(t * t), $MachinePrecision] * 0.041666666666666664), $MachinePrecision] + -0.5), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], t$95$1]]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \left|eh \cdot \sin t\right|\\
\mathbf{if}\;t \leq -0.065:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;t \leq 6.2 \cdot 10^{-27}:\\
\;\;\;\;\left|ew \cdot \left(\left(t \cdot t\right) \cdot \left(\left(t \cdot t\right) \cdot 0.041666666666666664 + -0.5\right) + 1\right)\right|\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if t < -0.065000000000000002 or 6.1999999999999997e-27 < t Initial program 99.6%
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-rr99.5%
Taylor expanded in ew around 0
associate-*r*N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f64N/A
atan-lowering-atan.f64N/A
mul-1-negN/A
distribute-neg-frac2N/A
mul-1-negN/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
tan-lowering-tan.f64N/A
mul-1-negN/A
neg-lowering-neg.f6454.2%
Simplified54.2%
Applied egg-rr30.3%
Taylor expanded in eh around inf
*-lowering-*.f64N/A
sin-lowering-sin.f6454.7%
Simplified54.7%
if -0.065000000000000002 < t < 6.1999999999999997e-27Initial program 100.0%
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-rr100.0%
Taylor expanded in ew around inf
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f6478.9%
Simplified78.9%
Taylor expanded in t around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6478.9%
Simplified78.9%
Final simplification66.6%
(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 99.7%
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
Simplified45.3%
herbie shell --seed 2024148
(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)))))))