
(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 (fabs (- (* ew (* (cos t) (cos (atan (* (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) * cos(atan((tan(t) * (eh / -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((tan(t) * (eh / -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((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) * math.cos(math.atan((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(ew * Float64(cos(t) * cos(atan(Float64(tan(t) * Float64(eh / Float64(-ew))))))) - Float64(eh * Float64(sin(t) * sin(atan(Float64(eh * Float64(Float64(-tan(t)) / ew)))))))) end
function tmp = code(eh, ew, t) tmp = abs(((ew * (cos(t) * cos(atan((tan(t) * (eh / -ew)))))) - (eh * (sin(t) * sin(atan((eh * (-tan(t) / ew)))))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(ew * N[(N[Cos[t], $MachinePrecision] * N[Cos[N[ArcTan[N[(N[Tan[t], $MachinePrecision] * N[(eh / (-ew)), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(eh * N[(N[Sin[t], $MachinePrecision] * N[Sin[N[ArcTan[N[(eh * N[((-N[Tan[t], $MachinePrecision]) / ew), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|ew \cdot \left(\cos t \cdot \cos \tan^{-1} \left(\tan t \cdot \frac{eh}{-ew}\right)\right) - eh \cdot \left(\sin t \cdot \sin \tan^{-1} \left(eh \cdot \frac{-\tan t}{ew}\right)\right)\right|
\end{array}
Initial program 99.8%
associate-*l*99.8%
remove-double-neg99.8%
Simplified99.8%
Taylor expanded in t around inf 99.8%
mul-1-neg99.8%
*-commutative99.8%
associate-*l/99.8%
Simplified99.8%
Final simplification99.8%
(FPCore (eh ew t) :precision binary64 (fabs (- (* ew (* (cos t) (/ 1.0 (hypot 1.0 (* 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) * (1.0 / hypot(1.0, (eh * (tan(t) / 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, (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) * (1.0 / math.hypot(1.0, (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(ew * Float64(cos(t) * Float64(1.0 / hypot(1.0, Float64(eh * Float64(tan(t) / ew)))))) - Float64(eh * Float64(sin(t) * sin(atan(Float64(eh * Float64(Float64(-tan(t)) / ew)))))))) end
function tmp = code(eh, ew, t) tmp = abs(((ew * (cos(t) * (1.0 / hypot(1.0, (eh * (tan(t) / ew)))))) - (eh * (sin(t) * sin(atan((eh * (-tan(t) / ew)))))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(ew * N[(N[Cos[t], $MachinePrecision] * N[(1.0 / N[Sqrt[1.0 ^ 2 + N[(eh * N[(N[Tan[t], $MachinePrecision] / ew), $MachinePrecision]), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(eh * N[(N[Sin[t], $MachinePrecision] * N[Sin[N[ArcTan[N[(eh * N[((-N[Tan[t], $MachinePrecision]) / ew), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|ew \cdot \left(\cos t \cdot \frac{1}{\mathsf{hypot}\left(1, eh \cdot \frac{\tan t}{ew}\right)}\right) - eh \cdot \left(\sin t \cdot \sin \tan^{-1} \left(eh \cdot \frac{-\tan t}{ew}\right)\right)\right|
\end{array}
Initial program 99.8%
associate-*l*99.8%
remove-double-neg99.8%
Simplified99.8%
Taylor expanded in t around inf 99.8%
mul-1-neg99.8%
*-commutative99.8%
associate-*l/99.8%
Simplified99.8%
cos-atan99.8%
hypot-1-def99.8%
div-inv99.8%
div-inv99.8%
add-sqr-sqrt53.4%
sqrt-unprod94.5%
sqr-neg94.5%
sqrt-unprod46.4%
add-sqr-sqrt99.8%
Applied egg-rr99.8%
associate-*r/99.8%
associate-*l/99.8%
Simplified99.8%
Final simplification99.8%
(FPCore (eh ew t) :precision binary64 (fabs (- (* ew (* (cos t) (cos (atan (* (tan t) (/ eh (- ew))))))) (* (sin t) (* eh (sin (atan (/ (- eh) (/ ew t)))))))))
double code(double eh, double ew, double t) {
return fabs(((ew * (cos(t) * cos(atan((tan(t) * (eh / -ew)))))) - (sin(t) * (eh * sin(atan((-eh / (ew / 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) * cos(atan((tan(t) * (eh / -ew)))))) - (sin(t) * (eh * sin(atan((-eh / (ew / t))))))))
end function
public static double code(double eh, double ew, double t) {
return Math.abs(((ew * (Math.cos(t) * Math.cos(Math.atan((Math.tan(t) * (eh / -ew)))))) - (Math.sin(t) * (eh * Math.sin(Math.atan((-eh / (ew / t))))))));
}
def code(eh, ew, t): return math.fabs(((ew * (math.cos(t) * math.cos(math.atan((math.tan(t) * (eh / -ew)))))) - (math.sin(t) * (eh * math.sin(math.atan((-eh / (ew / t))))))))
function code(eh, ew, t) return abs(Float64(Float64(ew * Float64(cos(t) * cos(atan(Float64(tan(t) * Float64(eh / Float64(-ew))))))) - Float64(sin(t) * Float64(eh * sin(atan(Float64(Float64(-eh) / Float64(ew / t)))))))) end
function tmp = code(eh, ew, t) tmp = abs(((ew * (cos(t) * cos(atan((tan(t) * (eh / -ew)))))) - (sin(t) * (eh * sin(atan((-eh / (ew / t)))))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(ew * N[(N[Cos[t], $MachinePrecision] * N[Cos[N[ArcTan[N[(N[Tan[t], $MachinePrecision] * N[(eh / (-ew)), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sin[t], $MachinePrecision] * N[(eh * N[Sin[N[ArcTan[N[((-eh) / N[(ew / t), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|ew \cdot \left(\cos t \cdot \cos \tan^{-1} \left(\tan t \cdot \frac{eh}{-ew}\right)\right) - \sin t \cdot \left(eh \cdot \sin \tan^{-1} \left(\frac{-eh}{\frac{ew}{t}}\right)\right)\right|
\end{array}
Initial program 99.8%
associate-*l*99.8%
remove-double-neg99.8%
Simplified99.8%
Taylor expanded in t around 0 99.0%
mul-1-neg87.6%
associate-/l*87.6%
distribute-neg-frac87.6%
Simplified99.0%
Final simplification99.0%
(FPCore (eh ew t) :precision binary64 (fabs (- (* ew (cos t)) (* (sin t) (* eh (sin (atan (* (tan t) (/ eh (- ew))))))))))
double code(double eh, double ew, double t) {
return fabs(((ew * cos(t)) - (sin(t) * (eh * sin(atan((tan(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)) - (sin(t) * (eh * sin(atan((tan(t) * (eh / -ew))))))))
end function
public static double code(double eh, double ew, double t) {
return Math.abs(((ew * Math.cos(t)) - (Math.sin(t) * (eh * Math.sin(Math.atan((Math.tan(t) * (eh / -ew))))))));
}
def code(eh, ew, t): return math.fabs(((ew * math.cos(t)) - (math.sin(t) * (eh * math.sin(math.atan((math.tan(t) * (eh / -ew))))))))
function code(eh, ew, t) return abs(Float64(Float64(ew * cos(t)) - Float64(sin(t) * Float64(eh * sin(atan(Float64(tan(t) * Float64(eh / Float64(-ew))))))))) end
function tmp = code(eh, ew, t) tmp = abs(((ew * cos(t)) - (sin(t) * (eh * sin(atan((tan(t) * (eh / -ew)))))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision] - N[(N[Sin[t], $MachinePrecision] * N[(eh * N[Sin[N[ArcTan[N[(N[Tan[t], $MachinePrecision] * N[(eh / (-ew)), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|ew \cdot \cos t - \sin t \cdot \left(eh \cdot \sin \tan^{-1} \left(\tan t \cdot \frac{eh}{-ew}\right)\right)\right|
\end{array}
Initial program 99.8%
associate-*l*99.8%
remove-double-neg99.8%
Simplified99.8%
cos-atan99.8%
hypot-1-def99.8%
div-inv99.8%
div-inv99.8%
add-sqr-sqrt53.4%
sqrt-unprod94.5%
sqr-neg94.5%
sqrt-unprod46.4%
add-sqr-sqrt99.8%
Applied egg-rr99.8%
associate-*r/99.8%
associate-*l/99.8%
Simplified99.8%
Taylor expanded in t around 0 98.3%
Taylor expanded in ew around 0 98.3%
Final simplification98.3%
(FPCore (eh ew t) :precision binary64 (fabs (- (* eh (sin t)) (* ew (* (cos t) (cos (atan (/ (- eh) (/ ew t)))))))))
double code(double eh, double ew, double t) {
return fabs(((eh * sin(t)) - (ew * (cos(t) * cos(atan((-eh / (ew / 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(((eh * sin(t)) - (ew * (cos(t) * cos(atan((-eh / (ew / t))))))))
end function
public static double code(double eh, double ew, double t) {
return Math.abs(((eh * Math.sin(t)) - (ew * (Math.cos(t) * Math.cos(Math.atan((-eh / (ew / t))))))));
}
def code(eh, ew, t): return math.fabs(((eh * math.sin(t)) - (ew * (math.cos(t) * math.cos(math.atan((-eh / (ew / t))))))))
function code(eh, ew, t) return abs(Float64(Float64(eh * sin(t)) - Float64(ew * Float64(cos(t) * cos(atan(Float64(Float64(-eh) / Float64(ew / t)))))))) end
function tmp = code(eh, ew, t) tmp = abs(((eh * sin(t)) - (ew * (cos(t) * cos(atan((-eh / (ew / t)))))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] - N[(ew * N[(N[Cos[t], $MachinePrecision] * N[Cos[N[ArcTan[N[((-eh) / N[(ew / t), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|eh \cdot \sin t - ew \cdot \left(\cos t \cdot \cos \tan^{-1} \left(\frac{-eh}{\frac{ew}{t}}\right)\right)\right|
\end{array}
Initial program 99.8%
associate-*l*99.8%
remove-double-neg99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan76.0%
associate-*r/74.3%
*-commutative74.3%
div-inv74.2%
div-inv74.3%
add-sqr-sqrt37.1%
sqrt-unprod61.3%
sqr-neg61.3%
sqrt-unprod36.6%
add-sqr-sqrt73.2%
hypot-1-def76.6%
div-inv76.5%
Applied egg-rr76.6%
associate-/l*84.3%
associate-/l*84.2%
associate-*r/84.2%
associate-*l/84.2%
*-commutative84.2%
associate-*r/88.3%
associate-*l/88.4%
*-commutative88.4%
Simplified88.4%
Taylor expanded in eh around inf 98.2%
Taylor expanded in t around 0 87.6%
mul-1-neg87.6%
associate-/l*87.6%
distribute-neg-frac87.6%
Simplified87.6%
Final simplification87.6%
(FPCore (eh ew t) :precision binary64 (fabs (- (* (cos t) (/ ew (hypot 1.0 (* (tan t) (/ eh ew))))) (* eh (sin t)))))
double code(double eh, double ew, double t) {
return fabs(((cos(t) * (ew / hypot(1.0, (tan(t) * (eh / ew))))) - (eh * sin(t))));
}
public static double code(double eh, double ew, double t) {
return Math.abs(((Math.cos(t) * (ew / Math.hypot(1.0, (Math.tan(t) * (eh / ew))))) - (eh * Math.sin(t))));
}
def code(eh, ew, t): return math.fabs(((math.cos(t) * (ew / math.hypot(1.0, (math.tan(t) * (eh / ew))))) - (eh * math.sin(t))))
function code(eh, ew, t) return abs(Float64(Float64(cos(t) * Float64(ew / hypot(1.0, Float64(tan(t) * Float64(eh / ew))))) - Float64(eh * sin(t)))) end
function tmp = code(eh, ew, t) tmp = abs(((cos(t) * (ew / hypot(1.0, (tan(t) * (eh / ew))))) - (eh * sin(t)))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(N[Cos[t], $MachinePrecision] * N[(ew / 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|\cos t \cdot \frac{ew}{\mathsf{hypot}\left(1, \tan t \cdot \frac{eh}{ew}\right)} - eh \cdot \sin t\right|
\end{array}
Initial program 99.8%
associate-*l*99.8%
remove-double-neg99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan76.0%
associate-*r/74.3%
*-commutative74.3%
div-inv74.2%
div-inv74.3%
add-sqr-sqrt37.1%
sqrt-unprod61.3%
sqr-neg61.3%
sqrt-unprod36.6%
add-sqr-sqrt73.2%
hypot-1-def76.6%
div-inv76.5%
Applied egg-rr76.6%
associate-/l*84.3%
associate-/l*84.2%
associate-*r/84.2%
associate-*l/84.2%
*-commutative84.2%
associate-*r/88.3%
associate-*l/88.4%
*-commutative88.4%
Simplified88.4%
Taylor expanded in eh around inf 98.2%
add-cube-cbrt97.1%
pow397.1%
Applied egg-rr97.1%
rem-cube-cbrt98.2%
expm1-log1p-u74.5%
expm1-udef59.2%
associate-*l*59.2%
cos-atan61.6%
un-div-inv61.6%
hypot-1-def61.6%
clear-num61.6%
un-div-inv61.6%
Applied egg-rr61.6%
expm1-def76.9%
expm1-log1p98.2%
associate-*r/98.2%
associate-/l*98.1%
associate-/r/98.2%
associate-/l*98.2%
associate-*r/98.2%
Simplified98.2%
Final simplification98.2%
(FPCore (eh ew t) :precision binary64 (fabs (- ew (* (sin t) (* eh (sin (atan (* (tan t) (/ eh (- ew))))))))))
double code(double eh, double ew, double t) {
return fabs((ew - (sin(t) * (eh * sin(atan((tan(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 - (sin(t) * (eh * sin(atan((tan(t) * (eh / -ew))))))))
end function
public static double code(double eh, double ew, double t) {
return Math.abs((ew - (Math.sin(t) * (eh * Math.sin(Math.atan((Math.tan(t) * (eh / -ew))))))));
}
def code(eh, ew, t): return math.fabs((ew - (math.sin(t) * (eh * math.sin(math.atan((math.tan(t) * (eh / -ew))))))))
function code(eh, ew, t) return abs(Float64(ew - Float64(sin(t) * Float64(eh * sin(atan(Float64(tan(t) * Float64(eh / Float64(-ew))))))))) end
function tmp = code(eh, ew, t) tmp = abs((ew - (sin(t) * (eh * sin(atan((tan(t) * (eh / -ew)))))))); end
code[eh_, ew_, t_] := N[Abs[N[(ew - N[(N[Sin[t], $MachinePrecision] * N[(eh * N[Sin[N[ArcTan[N[(N[Tan[t], $MachinePrecision] * N[(eh / (-ew)), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|ew - \sin t \cdot \left(eh \cdot \sin \tan^{-1} \left(\tan t \cdot \frac{eh}{-ew}\right)\right)\right|
\end{array}
Initial program 99.8%
associate-*l*99.8%
remove-double-neg99.8%
Simplified99.8%
cos-atan99.8%
hypot-1-def99.8%
div-inv99.8%
div-inv99.8%
add-sqr-sqrt53.4%
sqrt-unprod94.5%
sqr-neg94.5%
sqrt-unprod46.4%
add-sqr-sqrt99.8%
Applied egg-rr99.8%
associate-*r/99.8%
associate-*l/99.8%
Simplified99.8%
Taylor expanded in t around 0 98.3%
Taylor expanded in t around 0 74.3%
Final simplification74.3%
(FPCore (eh ew t) :precision binary64 (fabs (- (* ew (cos (atan (/ (* (tan t) eh) ew)))) (* eh (sin t)))))
double code(double eh, double ew, double t) {
return fabs(((ew * cos(atan(((tan(t) * eh) / 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 * cos(atan(((tan(t) * eh) / ew)))) - (eh * sin(t))))
end function
public static double code(double eh, double ew, double t) {
return Math.abs(((ew * Math.cos(Math.atan(((Math.tan(t) * eh) / ew)))) - (eh * Math.sin(t))));
}
def code(eh, ew, t): return math.fabs(((ew * math.cos(math.atan(((math.tan(t) * eh) / ew)))) - (eh * math.sin(t))))
function code(eh, ew, t) return abs(Float64(Float64(ew * cos(atan(Float64(Float64(tan(t) * eh) / ew)))) - Float64(eh * sin(t)))) end
function tmp = code(eh, ew, t) tmp = abs(((ew * cos(atan(((tan(t) * eh) / ew)))) - (eh * sin(t)))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(ew * N[Cos[N[ArcTan[N[(N[(N[Tan[t], $MachinePrecision] * eh), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|ew \cdot \cos \tan^{-1} \left(\frac{\tan t \cdot eh}{ew}\right) - eh \cdot \sin t\right|
\end{array}
Initial program 99.8%
associate-*l*99.8%
remove-double-neg99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan76.0%
associate-*r/74.3%
*-commutative74.3%
div-inv74.2%
div-inv74.3%
add-sqr-sqrt37.1%
sqrt-unprod61.3%
sqr-neg61.3%
sqrt-unprod36.6%
add-sqr-sqrt73.2%
hypot-1-def76.6%
div-inv76.5%
Applied egg-rr76.6%
associate-/l*84.3%
associate-/l*84.2%
associate-*r/84.2%
associate-*l/84.2%
*-commutative84.2%
associate-*r/88.3%
associate-*l/88.4%
*-commutative88.4%
Simplified88.4%
Taylor expanded in eh around inf 98.2%
Taylor expanded in t around 0 74.3%
mul-1-neg74.3%
distribute-frac-neg74.3%
*-commutative74.3%
distribute-rgt-neg-in74.3%
Simplified74.3%
expm1-log1p-u57.4%
expm1-udef57.3%
add-sqr-sqrt31.9%
sqrt-unprod55.5%
sqr-neg55.5%
sqrt-unprod28.2%
add-sqr-sqrt59.2%
Applied egg-rr59.2%
expm1-def59.4%
expm1-log1p74.3%
*-commutative74.3%
Simplified74.3%
Final simplification74.3%
(FPCore (eh ew t) :precision binary64 (fabs (+ (* eh (sin t)) (* ew (/ -1.0 (hypot 1.0 (/ (tan t) (/ ew eh))))))))
double code(double eh, double ew, double t) {
return fabs(((eh * sin(t)) + (ew * (-1.0 / hypot(1.0, (tan(t) / (ew / eh)))))));
}
public static double code(double eh, double ew, double t) {
return Math.abs(((eh * Math.sin(t)) + (ew * (-1.0 / Math.hypot(1.0, (Math.tan(t) / (ew / eh)))))));
}
def code(eh, ew, t): return math.fabs(((eh * math.sin(t)) + (ew * (-1.0 / math.hypot(1.0, (math.tan(t) / (ew / eh)))))))
function code(eh, ew, t) return abs(Float64(Float64(eh * sin(t)) + Float64(ew * Float64(-1.0 / hypot(1.0, Float64(tan(t) / Float64(ew / eh))))))) end
function tmp = code(eh, ew, t) tmp = abs(((eh * sin(t)) + (ew * (-1.0 / hypot(1.0, (tan(t) / (ew / eh))))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] + N[(ew * N[(-1.0 / N[Sqrt[1.0 ^ 2 + N[(N[Tan[t], $MachinePrecision] / N[(ew / eh), $MachinePrecision]), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|eh \cdot \sin t + ew \cdot \frac{-1}{\mathsf{hypot}\left(1, \frac{\tan t}{\frac{ew}{eh}}\right)}\right|
\end{array}
Initial program 99.8%
associate-*l*99.8%
remove-double-neg99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan76.0%
associate-*r/74.3%
*-commutative74.3%
div-inv74.2%
div-inv74.3%
add-sqr-sqrt37.1%
sqrt-unprod61.3%
sqr-neg61.3%
sqrt-unprod36.6%
add-sqr-sqrt73.2%
hypot-1-def76.6%
div-inv76.5%
Applied egg-rr76.6%
associate-/l*84.3%
associate-/l*84.2%
associate-*r/84.2%
associate-*l/84.2%
*-commutative84.2%
associate-*r/88.3%
associate-*l/88.4%
*-commutative88.4%
Simplified88.4%
Taylor expanded in eh around inf 98.2%
Taylor expanded in t around 0 74.3%
mul-1-neg74.3%
distribute-frac-neg74.3%
*-commutative74.3%
distribute-rgt-neg-in74.3%
Simplified74.3%
cos-atan74.3%
hypot-1-def74.3%
add-cube-cbrt74.3%
times-frac74.3%
add-sqr-sqrt40.1%
sqrt-unprod70.0%
sqr-neg70.0%
sqrt-unprod34.2%
add-sqr-sqrt74.3%
times-frac74.3%
add-cube-cbrt74.3%
associate-*r/74.3%
clear-num74.3%
un-div-inv74.3%
Applied egg-rr74.3%
Final simplification74.3%
(FPCore (eh ew t) :precision binary64 (fabs (- (* ew (cos (atan (/ (* eh (- t)) ew)))) (* eh (sin t)))))
double code(double eh, double ew, double t) {
return fabs(((ew * cos(atan(((eh * -t) / 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 * cos(atan(((eh * -t) / ew)))) - (eh * sin(t))))
end function
public static double code(double eh, double ew, double t) {
return Math.abs(((ew * Math.cos(Math.atan(((eh * -t) / ew)))) - (eh * Math.sin(t))));
}
def code(eh, ew, t): return math.fabs(((ew * math.cos(math.atan(((eh * -t) / ew)))) - (eh * math.sin(t))))
function code(eh, ew, t) return abs(Float64(Float64(ew * cos(atan(Float64(Float64(eh * Float64(-t)) / ew)))) - Float64(eh * sin(t)))) end
function tmp = code(eh, ew, t) tmp = abs(((ew * cos(atan(((eh * -t) / ew)))) - (eh * sin(t)))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(ew * N[Cos[N[ArcTan[N[(N[(eh * (-t)), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|ew \cdot \cos \tan^{-1} \left(\frac{eh \cdot \left(-t\right)}{ew}\right) - eh \cdot \sin t\right|
\end{array}
Initial program 99.8%
associate-*l*99.8%
remove-double-neg99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan76.0%
associate-*r/74.3%
*-commutative74.3%
div-inv74.2%
div-inv74.3%
add-sqr-sqrt37.1%
sqrt-unprod61.3%
sqr-neg61.3%
sqrt-unprod36.6%
add-sqr-sqrt73.2%
hypot-1-def76.6%
div-inv76.5%
Applied egg-rr76.6%
associate-/l*84.3%
associate-/l*84.2%
associate-*r/84.2%
associate-*l/84.2%
*-commutative84.2%
associate-*r/88.3%
associate-*l/88.4%
*-commutative88.4%
Simplified88.4%
Taylor expanded in eh around inf 98.2%
Taylor expanded in t around 0 74.3%
mul-1-neg74.3%
distribute-frac-neg74.3%
*-commutative74.3%
distribute-rgt-neg-in74.3%
Simplified74.3%
Taylor expanded in t around 0 73.0%
associate-*r/73.0%
mul-1-neg73.0%
*-commutative73.0%
distribute-rgt-neg-in73.0%
Simplified73.0%
Final simplification73.0%
herbie shell --seed 2023319
(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)))))))