
(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 (- (* (* ew (cos t)) (cos (atan (/ (* eh (tan t)) ew)))) (* (* eh (sin t)) (sin (atan (/ (* eh (- (tan t))) ew)))))))
double code(double eh, double ew, double t) {
return fabs((((ew * cos(t)) * cos(atan(((eh * tan(t)) / ew)))) - ((eh * sin(t)) * sin(atan(((eh * -tan(t)) / 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)) * cos(atan(((eh * tan(t)) / ew)))) - ((eh * sin(t)) * sin(atan(((eh * -tan(t)) / ew))))))
end function
public static double code(double eh, double ew, double t) {
return Math.abs((((ew * Math.cos(t)) * Math.cos(Math.atan(((eh * Math.tan(t)) / ew)))) - ((eh * Math.sin(t)) * Math.sin(Math.atan(((eh * -Math.tan(t)) / ew))))));
}
def code(eh, ew, t): return math.fabs((((ew * math.cos(t)) * math.cos(math.atan(((eh * math.tan(t)) / ew)))) - ((eh * math.sin(t)) * math.sin(math.atan(((eh * -math.tan(t)) / ew))))))
function code(eh, ew, t) return abs(Float64(Float64(Float64(ew * cos(t)) * cos(atan(Float64(Float64(eh * tan(t)) / ew)))) - Float64(Float64(eh * sin(t)) * sin(atan(Float64(Float64(eh * Float64(-tan(t))) / ew)))))) end
function tmp = code(eh, ew, t) tmp = abs((((ew * cos(t)) * cos(atan(((eh * tan(t)) / ew)))) - ((eh * sin(t)) * sin(atan(((eh * -tan(t)) / ew)))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision] * N[Cos[N[ArcTan[N[(N[(eh * N[Tan[t], $MachinePrecision]), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Sin[N[ArcTan[N[(N[(eh * (-N[Tan[t], $MachinePrecision])), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\left(ew \cdot \cos t\right) \cdot \cos \tan^{-1} \left(\frac{eh \cdot \tan t}{ew}\right) - \left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(\frac{eh \cdot \left(-\tan t\right)}{ew}\right)\right|
\end{array}
Initial program 99.9%
expm1-log1p-u77.3%
expm1-udef76.2%
add-sqr-sqrt40.3%
sqrt-unprod76.1%
sqr-neg76.1%
sqrt-unprod40.2%
add-sqr-sqrt78.1%
Applied egg-rr78.1%
expm1-def79.2%
expm1-log1p99.9%
Simplified99.9%
Final simplification99.9%
(FPCore (eh ew t) :precision binary64 (fabs (- (* ew (* (cos t) (/ 1.0 (hypot 1.0 (* (tan t) (/ eh ew)))))) (* eh (* (sin t) (sin (atan (/ (- eh) (/ ew (tan t))))))))))
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((-eh / (ew / tan(t)))))))));
}
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((-eh / (ew / Math.tan(t)))))))));
}
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((-eh / (ew / math.tan(t)))))))))
function code(eh, ew, t) return abs(Float64(Float64(ew * Float64(cos(t) * Float64(1.0 / hypot(1.0, Float64(tan(t) * Float64(eh / ew)))))) - Float64(eh * Float64(sin(t) * sin(atan(Float64(Float64(-eh) / Float64(ew / tan(t))))))))) 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((-eh / (ew / tan(t))))))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(ew * N[(N[Cos[t], $MachinePrecision] * N[(1.0 / N[Sqrt[1.0 ^ 2 + N[(N[Tan[t], $MachinePrecision] * N[(eh / ew), $MachinePrecision]), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(eh * N[(N[Sin[t], $MachinePrecision] * N[Sin[N[ArcTan[N[((-eh) / N[(ew / N[Tan[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|ew \cdot \left(\cos t \cdot \frac{1}{\mathsf{hypot}\left(1, \tan t \cdot \frac{eh}{ew}\right)}\right) - eh \cdot \left(\sin t \cdot \sin \tan^{-1} \left(\frac{-eh}{\frac{ew}{\tan t}}\right)\right)\right|
\end{array}
Initial program 99.9%
associate-*l*99.9%
remove-double-neg99.9%
associate-*l*99.9%
associate-/l*99.9%
remove-double-neg99.9%
associate-/l*99.9%
Simplified99.9%
cos-atan99.9%
hypot-1-def99.9%
div-inv99.9%
add-sqr-sqrt49.6%
clear-num49.6%
sqrt-unprod94.2%
sqr-neg94.2%
sqrt-unprod50.3%
add-sqr-sqrt99.9%
Applied egg-rr99.9%
*-commutative99.9%
associate-*l/99.9%
associate-*r/99.8%
Simplified99.8%
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 (/ (* eh (- (tan t))) 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(((eh * -tan(t)) / 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(((eh * -Math.tan(t)) / 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(((eh * -math.tan(t)) / ew))))))
function code(eh, ew, t) return abs(Float64(Float64(Float64(ew * cos(t)) * Float64(1.0 / hypot(1.0, Float64(tan(t) * Float64(eh / ew))))) - Float64(Float64(eh * sin(t)) * sin(atan(Float64(Float64(eh * Float64(-tan(t))) / 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(((eh * -tan(t)) / 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[Tan[t], $MachinePrecision] * N[(eh / ew), $MachinePrecision]), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Sin[N[ArcTan[N[(N[(eh * (-N[Tan[t], $MachinePrecision])), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\left(ew \cdot \cos t\right) \cdot \frac{1}{\mathsf{hypot}\left(1, \tan t \cdot \frac{eh}{ew}\right)} - \left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(\frac{eh \cdot \left(-\tan t\right)}{ew}\right)\right|
\end{array}
Initial program 99.9%
expm1-log1p-u77.3%
expm1-udef76.2%
add-sqr-sqrt40.3%
sqrt-unprod76.1%
sqr-neg76.1%
sqrt-unprod40.2%
add-sqr-sqrt78.1%
Applied egg-rr78.1%
expm1-def79.2%
expm1-log1p99.9%
Simplified99.9%
cos-atan99.9%
hypot-1-def99.9%
*-commutative99.9%
associate-*r/99.8%
inv-pow99.8%
add-sqr-sqrt99.8%
Applied egg-rr99.9%
pow-sqr99.9%
metadata-eval99.9%
unpow-199.9%
associate-*r/99.9%
associate-*l/99.8%
*-commutative99.8%
Simplified99.8%
Final simplification99.8%
(FPCore (eh ew t) :precision binary64 (fabs (- (* (* ew (cos t)) (cos (atan (/ (* eh (- (tan t))) ew)))) (* (* eh (sin t)) (sin (atan (/ (* t (- eh)) ew)))))))
double code(double eh, double ew, double t) {
return fabs((((ew * cos(t)) * cos(atan(((eh * -tan(t)) / ew)))) - ((eh * sin(t)) * sin(atan(((t * -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((((ew * cos(t)) * cos(atan(((eh * -tan(t)) / ew)))) - ((eh * sin(t)) * sin(atan(((t * -eh) / ew))))))
end function
public static double code(double eh, double ew, double t) {
return Math.abs((((ew * Math.cos(t)) * Math.cos(Math.atan(((eh * -Math.tan(t)) / ew)))) - ((eh * Math.sin(t)) * Math.sin(Math.atan(((t * -eh) / ew))))));
}
def code(eh, ew, t): return math.fabs((((ew * math.cos(t)) * math.cos(math.atan(((eh * -math.tan(t)) / ew)))) - ((eh * math.sin(t)) * math.sin(math.atan(((t * -eh) / ew))))))
function code(eh, ew, t) return abs(Float64(Float64(Float64(ew * cos(t)) * cos(atan(Float64(Float64(eh * Float64(-tan(t))) / ew)))) - Float64(Float64(eh * sin(t)) * sin(atan(Float64(Float64(t * Float64(-eh)) / ew)))))) end
function tmp = code(eh, ew, t) tmp = abs((((ew * cos(t)) * cos(atan(((eh * -tan(t)) / ew)))) - ((eh * sin(t)) * sin(atan(((t * -eh) / ew)))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision] * N[Cos[N[ArcTan[N[(N[(eh * (-N[Tan[t], $MachinePrecision])), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Sin[N[ArcTan[N[(N[(t * (-eh)), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\left(ew \cdot \cos t\right) \cdot \cos \tan^{-1} \left(\frac{eh \cdot \left(-\tan t\right)}{ew}\right) - \left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(\frac{t \cdot \left(-eh\right)}{ew}\right)\right|
\end{array}
Initial program 99.9%
Taylor expanded in t around 0 99.1%
mul-1-neg99.1%
*-commutative99.1%
distribute-rgt-neg-in99.1%
Simplified99.1%
Final simplification99.1%
(FPCore (eh ew t) :precision binary64 (fabs (+ (* eh (sin t)) (* ew (* (cos t) (/ 1.0 (hypot 1.0 (* (tan t) (/ eh ew)))))))))
double code(double eh, double ew, double t) {
return fabs(((eh * sin(t)) + (ew * (cos(t) * (1.0 / hypot(1.0, (tan(t) * (eh / ew))))))));
}
public static double code(double eh, double ew, double t) {
return Math.abs(((eh * Math.sin(t)) + (ew * (Math.cos(t) * (1.0 / Math.hypot(1.0, (Math.tan(t) * (eh / ew))))))));
}
def code(eh, ew, t): return math.fabs(((eh * math.sin(t)) + (ew * (math.cos(t) * (1.0 / math.hypot(1.0, (math.tan(t) * (eh / ew))))))))
function code(eh, ew, t) return abs(Float64(Float64(eh * sin(t)) + Float64(ew * Float64(cos(t) * Float64(1.0 / hypot(1.0, Float64(tan(t) * Float64(eh / ew)))))))) end
function tmp = code(eh, ew, t) tmp = abs(((eh * sin(t)) + (ew * (cos(t) * (1.0 / hypot(1.0, (tan(t) * (eh / ew)))))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] + N[(ew * N[(N[Cos[t], $MachinePrecision] * N[(1.0 / N[Sqrt[1.0 ^ 2 + N[(N[Tan[t], $MachinePrecision] * N[(eh / ew), $MachinePrecision]), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|eh \cdot \sin t + ew \cdot \left(\cos t \cdot \frac{1}{\mathsf{hypot}\left(1, \tan t \cdot \frac{eh}{ew}\right)}\right)\right|
\end{array}
Initial program 99.9%
associate-*l*99.9%
remove-double-neg99.9%
associate-*l*99.9%
associate-/l*99.9%
remove-double-neg99.9%
associate-/l*99.9%
Simplified99.9%
cos-atan99.9%
hypot-1-def99.9%
div-inv99.9%
add-sqr-sqrt49.6%
clear-num49.6%
sqrt-unprod94.2%
sqr-neg94.2%
sqrt-unprod50.3%
add-sqr-sqrt99.9%
Applied egg-rr99.9%
*-commutative99.9%
associate-*l/99.9%
associate-*r/99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan74.9%
associate-*r/73.6%
div-inv73.6%
add-sqr-sqrt36.0%
clear-num36.0%
sqrt-unprod61.7%
sqr-neg61.7%
sqrt-unprod36.9%
add-sqr-sqrt72.5%
hypot-1-def79.1%
div-inv79.2%
add-sqr-sqrt39.8%
clear-num39.9%
Applied egg-rr79.2%
Taylor expanded in eh around -inf 98.2%
mul-1-neg98.2%
distribute-rgt-neg-in98.2%
Simplified98.2%
Final simplification98.2%
(FPCore (eh ew t) :precision binary64 (fabs (- (* ew (/ (cos t) (hypot 1.0 (* (tan t) (/ eh ew))))) (* eh (sin t)))))
double code(double eh, double ew, double t) {
return fabs(((ew * (cos(t) / hypot(1.0, (tan(t) * (eh / ew))))) - (eh * sin(t))));
}
public static double code(double eh, double ew, double t) {
return Math.abs(((ew * (Math.cos(t) / Math.hypot(1.0, (Math.tan(t) * (eh / ew))))) - (eh * Math.sin(t))));
}
def code(eh, ew, t): return math.fabs(((ew * (math.cos(t) / math.hypot(1.0, (math.tan(t) * (eh / ew))))) - (eh * math.sin(t))))
function code(eh, ew, t) return abs(Float64(Float64(ew * Float64(cos(t) / hypot(1.0, Float64(tan(t) * Float64(eh / ew))))) - Float64(eh * sin(t)))) end
function tmp = code(eh, ew, t) tmp = abs(((ew * (cos(t) / hypot(1.0, (tan(t) * (eh / ew))))) - (eh * sin(t)))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(ew * N[(N[Cos[t], $MachinePrecision] / N[Sqrt[1.0 ^ 2 + N[(N[Tan[t], $MachinePrecision] * N[(eh / ew), $MachinePrecision]), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|ew \cdot \frac{\cos t}{\mathsf{hypot}\left(1, \tan t \cdot \frac{eh}{ew}\right)} - eh \cdot \sin t\right|
\end{array}
Initial program 99.9%
associate-*l*99.9%
remove-double-neg99.9%
associate-*l*99.9%
associate-/l*99.9%
remove-double-neg99.9%
associate-/l*99.9%
Simplified99.9%
cos-atan99.9%
hypot-1-def99.9%
div-inv99.9%
add-sqr-sqrt49.6%
clear-num49.6%
sqrt-unprod94.2%
sqr-neg94.2%
sqrt-unprod50.3%
add-sqr-sqrt99.9%
Applied egg-rr99.9%
*-commutative99.9%
associate-*l/99.9%
associate-*r/99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan74.9%
associate-*r/73.6%
div-inv73.6%
add-sqr-sqrt36.0%
clear-num36.0%
sqrt-unprod61.7%
sqr-neg61.7%
sqrt-unprod36.9%
add-sqr-sqrt72.5%
hypot-1-def79.1%
div-inv79.2%
add-sqr-sqrt39.8%
clear-num39.9%
Applied egg-rr79.2%
Taylor expanded in eh around inf 98.1%
expm1-log1p-u98.1%
expm1-udef98.0%
un-div-inv98.0%
Applied egg-rr98.0%
expm1-def98.1%
expm1-log1p98.1%
Simplified98.1%
Final simplification98.1%
(FPCore (eh ew t) :precision binary64 (fabs (- (* ew (cos t)) (* eh (sin t)))))
double code(double eh, double ew, double t) {
return fabs(((ew * cos(t)) - (eh * sin(t))));
}
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))))
end function
public static double code(double eh, double ew, double t) {
return Math.abs(((ew * Math.cos(t)) - (eh * Math.sin(t))));
}
def code(eh, ew, t): return math.fabs(((ew * math.cos(t)) - (eh * math.sin(t))))
function code(eh, ew, t) return abs(Float64(Float64(ew * cos(t)) - Float64(eh * sin(t)))) end
function tmp = code(eh, ew, t) tmp = abs(((ew * cos(t)) - (eh * sin(t)))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision] - N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|ew \cdot \cos t - eh \cdot \sin t\right|
\end{array}
Initial program 99.9%
associate-*l*99.9%
remove-double-neg99.9%
associate-*l*99.9%
associate-/l*99.9%
remove-double-neg99.9%
associate-/l*99.9%
Simplified99.9%
cos-atan99.9%
hypot-1-def99.9%
div-inv99.9%
add-sqr-sqrt49.6%
clear-num49.6%
sqrt-unprod94.2%
sqr-neg94.2%
sqrt-unprod50.3%
add-sqr-sqrt99.9%
Applied egg-rr99.9%
*-commutative99.9%
associate-*l/99.9%
associate-*r/99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan74.9%
associate-*r/73.6%
div-inv73.6%
add-sqr-sqrt36.0%
clear-num36.0%
sqrt-unprod61.7%
sqr-neg61.7%
sqrt-unprod36.9%
add-sqr-sqrt72.5%
hypot-1-def79.1%
div-inv79.2%
add-sqr-sqrt39.8%
clear-num39.9%
Applied egg-rr79.2%
Taylor expanded in eh around inf 98.1%
Taylor expanded in eh around 0 96.9%
Final simplification96.9%
(FPCore (eh ew t) :precision binary64 (fabs (- ew (* eh (sin t)))))
double code(double eh, double ew, double t) {
return fabs((ew - (eh * sin(t))));
}
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 - (eh * sin(t))))
end function
public static double code(double eh, double ew, double t) {
return Math.abs((ew - (eh * Math.sin(t))));
}
def code(eh, ew, t): return math.fabs((ew - (eh * math.sin(t))))
function code(eh, ew, t) return abs(Float64(ew - Float64(eh * sin(t)))) end
function tmp = code(eh, ew, t) tmp = abs((ew - (eh * sin(t)))); end
code[eh_, ew_, t_] := N[Abs[N[(ew - N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|ew - eh \cdot \sin t\right|
\end{array}
Initial program 99.9%
associate-*l*99.9%
remove-double-neg99.9%
associate-*l*99.9%
associate-/l*99.9%
remove-double-neg99.9%
associate-/l*99.9%
Simplified99.9%
cos-atan99.9%
hypot-1-def99.9%
div-inv99.9%
add-sqr-sqrt49.6%
clear-num49.6%
sqrt-unprod94.2%
sqr-neg94.2%
sqrt-unprod50.3%
add-sqr-sqrt99.9%
Applied egg-rr99.9%
*-commutative99.9%
associate-*l/99.9%
associate-*r/99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan74.9%
associate-*r/73.6%
div-inv73.6%
add-sqr-sqrt36.0%
clear-num36.0%
sqrt-unprod61.7%
sqr-neg61.7%
sqrt-unprod36.9%
add-sqr-sqrt72.5%
hypot-1-def79.1%
div-inv79.2%
add-sqr-sqrt39.8%
clear-num39.9%
Applied egg-rr79.2%
Taylor expanded in eh around inf 98.1%
Taylor expanded in t around 0 82.6%
Final simplification82.6%
herbie shell --seed 2023312
(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)))))))