
(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 (- (* (/ 1.0 (hypot 1.0 (/ (tan t) (/ ew eh)))) (* (cos t) ew)) (* (* eh (sin t)) (sin (atan (* (/ (tan t) ew) (- eh))))))))
double code(double eh, double ew, double t) {
return fabs((((1.0 / hypot(1.0, (tan(t) / (ew / eh)))) * (cos(t) * ew)) - ((eh * sin(t)) * sin(atan(((tan(t) / ew) * -eh))))));
}
public static double code(double eh, double ew, double t) {
return Math.abs((((1.0 / Math.hypot(1.0, (Math.tan(t) / (ew / eh)))) * (Math.cos(t) * ew)) - ((eh * Math.sin(t)) * Math.sin(Math.atan(((Math.tan(t) / ew) * -eh))))));
}
def code(eh, ew, t): return math.fabs((((1.0 / math.hypot(1.0, (math.tan(t) / (ew / eh)))) * (math.cos(t) * ew)) - ((eh * math.sin(t)) * math.sin(math.atan(((math.tan(t) / ew) * -eh))))))
function code(eh, ew, t) return abs(Float64(Float64(Float64(1.0 / hypot(1.0, Float64(tan(t) / Float64(ew / eh)))) * Float64(cos(t) * ew)) - Float64(Float64(eh * sin(t)) * sin(atan(Float64(Float64(tan(t) / ew) * Float64(-eh))))))) end
function tmp = code(eh, ew, t) tmp = abs((((1.0 / hypot(1.0, (tan(t) / (ew / eh)))) * (cos(t) * ew)) - ((eh * sin(t)) * sin(atan(((tan(t) / ew) * -eh)))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(N[(1.0 / N[Sqrt[1.0 ^ 2 + N[(N[Tan[t], $MachinePrecision] / N[(ew / eh), $MachinePrecision]), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[t], $MachinePrecision] * ew), $MachinePrecision]), $MachinePrecision] - N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Sin[N[ArcTan[N[(N[(N[Tan[t], $MachinePrecision] / ew), $MachinePrecision] * (-eh)), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\frac{1}{\mathsf{hypot}\left(1, \frac{\tan t}{\frac{ew}{eh}}\right)} \cdot \left(\cos t \cdot ew\right) - \left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(\frac{\tan t}{ew} \cdot \left(-eh\right)\right)\right|
\end{array}
Initial program 99.8%
associate-/l*99.8%
neg-sub099.8%
div-sub99.8%
add-sqr-sqrt48.0%
sqrt-unprod93.9%
sqr-neg93.9%
sqrt-unprod50.4%
add-sqr-sqrt98.0%
associate-/l*98.0%
*-commutative98.0%
associate-/l*98.0%
add-sqr-sqrt50.4%
sqrt-unprod96.6%
sqr-neg96.6%
sqrt-unprod48.0%
add-sqr-sqrt99.8%
Applied egg-rr99.8%
div099.8%
neg-sub099.8%
associate-/r/99.8%
distribute-rgt-neg-in99.8%
Simplified99.8%
cos-atan99.8%
hypot-1-def99.8%
*-commutative99.8%
associate-/l*99.8%
add-sqr-sqrt51.9%
sqrt-unprod92.7%
sqr-neg92.7%
sqrt-unprod48.0%
add-sqr-sqrt99.8%
Applied egg-rr99.8%
Final simplification99.8%
(FPCore (eh ew t) :precision binary64 (fabs (- (* (cos (atan (/ (* (tan t) (- eh)) ew))) (* (cos t) ew)) (* (* eh (sin t)) (sin (atan (/ (* t (- eh)) ew)))))))
double code(double eh, double ew, double t) {
return fabs(((cos(atan(((tan(t) * -eh) / ew))) * (cos(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(((cos(atan(((tan(t) * -eh) / ew))) * (cos(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(((Math.cos(Math.atan(((Math.tan(t) * -eh) / ew))) * (Math.cos(t) * ew)) - ((eh * Math.sin(t)) * Math.sin(Math.atan(((t * -eh) / ew))))));
}
def code(eh, ew, t): return math.fabs(((math.cos(math.atan(((math.tan(t) * -eh) / ew))) * (math.cos(t) * ew)) - ((eh * math.sin(t)) * math.sin(math.atan(((t * -eh) / ew))))))
function code(eh, ew, t) return abs(Float64(Float64(cos(atan(Float64(Float64(tan(t) * Float64(-eh)) / ew))) * Float64(cos(t) * ew)) - Float64(Float64(eh * sin(t)) * sin(atan(Float64(Float64(t * Float64(-eh)) / ew)))))) end
function tmp = code(eh, ew, t) tmp = abs(((cos(atan(((tan(t) * -eh) / ew))) * (cos(t) * ew)) - ((eh * sin(t)) * sin(atan(((t * -eh) / ew)))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(N[Cos[N[ArcTan[N[(N[(N[Tan[t], $MachinePrecision] * (-eh)), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(N[Cos[t], $MachinePrecision] * ew), $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|\cos \tan^{-1} \left(\frac{\tan t \cdot \left(-eh\right)}{ew}\right) \cdot \left(\cos t \cdot 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 99.8%
Taylor expanded in t around 0 97.9%
associate-*r/77.9%
mul-1-neg77.9%
distribute-rgt-neg-in77.9%
Simplified97.9%
Final simplification97.9%
(FPCore (eh ew t) :precision binary64 (fabs (- (* (/ 1.0 (hypot 1.0 (/ (tan t) (/ ew eh)))) (* (cos t) ew)) (* (* eh (sin t)) (sin (atan (* t (/ eh ew))))))))
double code(double eh, double ew, double t) {
return fabs((((1.0 / hypot(1.0, (tan(t) / (ew / eh)))) * (cos(t) * ew)) - ((eh * sin(t)) * sin(atan((t * (eh / ew)))))));
}
public static double code(double eh, double ew, double t) {
return Math.abs((((1.0 / Math.hypot(1.0, (Math.tan(t) / (ew / eh)))) * (Math.cos(t) * ew)) - ((eh * Math.sin(t)) * Math.sin(Math.atan((t * (eh / ew)))))));
}
def code(eh, ew, t): return math.fabs((((1.0 / math.hypot(1.0, (math.tan(t) / (ew / eh)))) * (math.cos(t) * ew)) - ((eh * math.sin(t)) * math.sin(math.atan((t * (eh / ew)))))))
function code(eh, ew, t) return abs(Float64(Float64(Float64(1.0 / hypot(1.0, Float64(tan(t) / Float64(ew / eh)))) * Float64(cos(t) * ew)) - Float64(Float64(eh * sin(t)) * sin(atan(Float64(t * Float64(eh / ew))))))) end
function tmp = code(eh, ew, t) tmp = abs((((1.0 / hypot(1.0, (tan(t) / (ew / eh)))) * (cos(t) * ew)) - ((eh * sin(t)) * sin(atan((t * (eh / ew))))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(N[(1.0 / N[Sqrt[1.0 ^ 2 + N[(N[Tan[t], $MachinePrecision] / N[(ew / eh), $MachinePrecision]), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[t], $MachinePrecision] * ew), $MachinePrecision]), $MachinePrecision] - N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Sin[N[ArcTan[N[(t * N[(eh / ew), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\frac{1}{\mathsf{hypot}\left(1, \frac{\tan t}{\frac{ew}{eh}}\right)} \cdot \left(\cos t \cdot ew\right) - \left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(t \cdot \frac{eh}{ew}\right)\right|
\end{array}
Initial program 99.8%
Taylor expanded in t around 0 97.9%
associate-*r/77.9%
mul-1-neg77.9%
distribute-rgt-neg-in77.9%
Simplified97.9%
associate-/l*97.9%
associate-/r/97.9%
add-sqr-sqrt47.4%
sqrt-unprod90.7%
sqr-neg90.7%
sqrt-prod50.4%
add-sqr-sqrt97.8%
Applied egg-rr97.8%
cos-atan99.8%
hypot-1-def99.8%
*-commutative99.8%
associate-/l*99.8%
add-sqr-sqrt51.9%
sqrt-unprod92.7%
sqr-neg92.7%
sqrt-unprod48.0%
add-sqr-sqrt99.8%
Applied egg-rr97.8%
Final simplification97.8%
(FPCore (eh ew t) :precision binary64 (fabs (- (* (cos t) ew) (* (* eh (sin t)) (sin (atan (/ (* (tan t) (- eh)) ew)))))))
double code(double eh, double ew, double t) {
return fabs(((cos(t) * ew) - ((eh * sin(t)) * 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(((cos(t) * ew) - ((eh * sin(t)) * sin(atan(((tan(t) * -eh) / ew))))))
end function
public static double code(double eh, double ew, double t) {
return Math.abs(((Math.cos(t) * ew) - ((eh * Math.sin(t)) * Math.sin(Math.atan(((Math.tan(t) * -eh) / ew))))));
}
def code(eh, ew, t): return math.fabs(((math.cos(t) * ew) - ((eh * math.sin(t)) * math.sin(math.atan(((math.tan(t) * -eh) / ew))))))
function code(eh, ew, t) return abs(Float64(Float64(cos(t) * ew) - Float64(Float64(eh * sin(t)) * sin(atan(Float64(Float64(tan(t) * Float64(-eh)) / ew)))))) end
function tmp = code(eh, ew, t) tmp = abs(((cos(t) * ew) - ((eh * sin(t)) * sin(atan(((tan(t) * -eh) / ew)))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(N[Cos[t], $MachinePrecision] * ew), $MachinePrecision] - N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Sin[N[ArcTan[N[(N[(N[Tan[t], $MachinePrecision] * (-eh)), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\cos t \cdot ew - \left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(\frac{\tan t \cdot \left(-eh\right)}{ew}\right)\right|
\end{array}
Initial program 99.8%
cos-atan99.8%
hypot-1-def99.8%
*-commutative99.8%
associate-/l*99.8%
add-sqr-sqrt51.9%
sqrt-unprod92.7%
sqr-neg92.7%
sqrt-unprod48.0%
add-sqr-sqrt99.8%
Applied egg-rr99.8%
Taylor expanded in t around 0 97.5%
Final simplification97.5%
(FPCore (eh ew t) :precision binary64 (fabs (- (* (cos t) ew) (* (* eh (sin t)) (sin (atan (/ (* (tan t) eh) ew)))))))
double code(double eh, double ew, double t) {
return fabs(((cos(t) * ew) - ((eh * sin(t)) * 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(((cos(t) * ew) - ((eh * sin(t)) * sin(atan(((tan(t) * eh) / ew))))))
end function
public static double code(double eh, double ew, double t) {
return Math.abs(((Math.cos(t) * ew) - ((eh * Math.sin(t)) * Math.sin(Math.atan(((Math.tan(t) * eh) / ew))))));
}
def code(eh, ew, t): return math.fabs(((math.cos(t) * ew) - ((eh * math.sin(t)) * math.sin(math.atan(((math.tan(t) * eh) / ew))))))
function code(eh, ew, t) return abs(Float64(Float64(cos(t) * ew) - Float64(Float64(eh * sin(t)) * sin(atan(Float64(Float64(tan(t) * eh) / ew)))))) end
function tmp = code(eh, ew, t) tmp = abs(((cos(t) * ew) - ((eh * sin(t)) * sin(atan(((tan(t) * eh) / ew)))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(N[Cos[t], $MachinePrecision] * ew), $MachinePrecision] - N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Sin[N[ArcTan[N[(N[(N[Tan[t], $MachinePrecision] * eh), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\cos t \cdot ew - \left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(\frac{\tan t \cdot eh}{ew}\right)\right|
\end{array}
Initial program 99.8%
cos-atan99.8%
hypot-1-def99.8%
*-commutative99.8%
associate-/l*99.8%
add-sqr-sqrt51.9%
sqrt-unprod92.7%
sqr-neg92.7%
sqrt-unprod48.0%
add-sqr-sqrt99.8%
Applied egg-rr99.8%
Taylor expanded in t around 0 97.5%
add-log-exp68.0%
*-un-lft-identity68.0%
log-prod68.0%
metadata-eval68.0%
add-log-exp77.9%
add-sqr-sqrt40.2%
sqrt-unprod76.9%
sqr-neg76.9%
sqrt-unprod37.7%
add-sqr-sqrt77.9%
Applied egg-rr97.4%
+-lft-identity77.9%
Simplified97.4%
Final simplification97.4%
(FPCore (eh ew t) :precision binary64 (fabs (- (* (* eh (sin t)) (sin (atan (/ (* t (- eh)) ew)))) (* (cos t) ew))))
double code(double eh, double ew, double t) {
return fabs((((eh * sin(t)) * sin(atan(((t * -eh) / ew)))) - (cos(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((((eh * sin(t)) * sin(atan(((t * -eh) / ew)))) - (cos(t) * ew)))
end function
public static double code(double eh, double ew, double t) {
return Math.abs((((eh * Math.sin(t)) * Math.sin(Math.atan(((t * -eh) / ew)))) - (Math.cos(t) * ew)));
}
def code(eh, ew, t): return math.fabs((((eh * math.sin(t)) * math.sin(math.atan(((t * -eh) / ew)))) - (math.cos(t) * ew)))
function code(eh, ew, t) return abs(Float64(Float64(Float64(eh * sin(t)) * sin(atan(Float64(Float64(t * Float64(-eh)) / ew)))) - Float64(cos(t) * ew))) end
function tmp = code(eh, ew, t) tmp = abs((((eh * sin(t)) * sin(atan(((t * -eh) / ew)))) - (cos(t) * ew))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Sin[N[ArcTan[N[(N[(t * (-eh)), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[t], $MachinePrecision] * ew), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(\frac{t \cdot \left(-eh\right)}{ew}\right) - \cos t \cdot ew\right|
\end{array}
Initial program 99.8%
cos-atan99.8%
hypot-1-def99.8%
*-commutative99.8%
associate-/l*99.8%
add-sqr-sqrt51.9%
sqrt-unprod92.7%
sqr-neg92.7%
sqrt-unprod48.0%
add-sqr-sqrt99.8%
Applied egg-rr99.8%
Taylor expanded in t around 0 97.5%
Taylor expanded in t around 0 97.2%
associate-*r/77.9%
mul-1-neg77.9%
distribute-rgt-neg-in77.9%
Simplified97.2%
Final simplification97.2%
(FPCore (eh ew t) :precision binary64 (fabs (- (* (* eh (sin t)) (sin (atan (* t (/ eh ew))))) (* (cos t) ew))))
double code(double eh, double ew, double t) {
return fabs((((eh * sin(t)) * sin(atan((t * (eh / ew))))) - (cos(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((((eh * sin(t)) * sin(atan((t * (eh / ew))))) - (cos(t) * ew)))
end function
public static double code(double eh, double ew, double t) {
return Math.abs((((eh * Math.sin(t)) * Math.sin(Math.atan((t * (eh / ew))))) - (Math.cos(t) * ew)));
}
def code(eh, ew, t): return math.fabs((((eh * math.sin(t)) * math.sin(math.atan((t * (eh / ew))))) - (math.cos(t) * ew)))
function code(eh, ew, t) return abs(Float64(Float64(Float64(eh * sin(t)) * sin(atan(Float64(t * Float64(eh / ew))))) - Float64(cos(t) * ew))) end
function tmp = code(eh, ew, t) tmp = abs((((eh * sin(t)) * sin(atan((t * (eh / ew))))) - (cos(t) * ew))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Sin[N[ArcTan[N[(t * N[(eh / ew), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[t], $MachinePrecision] * ew), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(t \cdot \frac{eh}{ew}\right) - \cos t \cdot ew\right|
\end{array}
Initial program 99.8%
Taylor expanded in t around 0 97.9%
associate-*r/77.9%
mul-1-neg77.9%
distribute-rgt-neg-in77.9%
Simplified97.9%
associate-/l*97.9%
associate-/r/97.9%
add-sqr-sqrt47.4%
sqrt-unprod90.7%
sqr-neg90.7%
sqrt-prod50.4%
add-sqr-sqrt97.8%
Applied egg-rr97.8%
cos-atan99.8%
hypot-1-def99.8%
*-commutative99.8%
associate-/l*99.8%
add-sqr-sqrt51.9%
sqrt-unprod92.7%
sqr-neg92.7%
sqrt-unprod48.0%
add-sqr-sqrt99.8%
Applied egg-rr97.8%
Taylor expanded in t around 0 97.2%
Final simplification97.2%
(FPCore (eh ew t) :precision binary64 (fabs (- ew (* (* eh (sin t)) (sin (atan (/ (* (tan t) eh) ew)))))))
double code(double eh, double ew, double t) {
return fabs((ew - ((eh * sin(t)) * 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 - ((eh * sin(t)) * sin(atan(((tan(t) * eh) / ew))))))
end function
public static double code(double eh, double ew, double t) {
return Math.abs((ew - ((eh * Math.sin(t)) * Math.sin(Math.atan(((Math.tan(t) * eh) / ew))))));
}
def code(eh, ew, t): return math.fabs((ew - ((eh * math.sin(t)) * math.sin(math.atan(((math.tan(t) * eh) / ew))))))
function code(eh, ew, t) return abs(Float64(ew - Float64(Float64(eh * sin(t)) * sin(atan(Float64(Float64(tan(t) * eh) / ew)))))) end
function tmp = code(eh, ew, t) tmp = abs((ew - ((eh * sin(t)) * sin(atan(((tan(t) * eh) / ew)))))); end
code[eh_, ew_, t_] := N[Abs[N[(ew - N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Sin[N[ArcTan[N[(N[(N[Tan[t], $MachinePrecision] * eh), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|ew - \left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(\frac{\tan t \cdot eh}{ew}\right)\right|
\end{array}
Initial program 99.8%
cos-atan99.8%
hypot-1-def99.8%
*-commutative99.8%
associate-/l*99.8%
add-sqr-sqrt51.9%
sqrt-unprod92.7%
sqr-neg92.7%
sqrt-unprod48.0%
add-sqr-sqrt99.8%
Applied egg-rr99.8%
Taylor expanded in t around 0 97.5%
Taylor expanded in t around 0 77.9%
add-log-exp68.0%
*-un-lft-identity68.0%
log-prod68.0%
metadata-eval68.0%
add-log-exp77.9%
add-sqr-sqrt40.2%
sqrt-unprod76.9%
sqr-neg76.9%
sqrt-unprod37.7%
add-sqr-sqrt77.9%
Applied egg-rr77.9%
+-lft-identity77.9%
Simplified77.9%
Final simplification77.9%
(FPCore (eh ew t) :precision binary64 (fabs (- ew (* (sin (atan (/ (* (tan t) (- eh)) ew))) (* t eh)))))
double code(double eh, double ew, double t) {
return fabs((ew - (sin(atan(((tan(t) * -eh) / ew))) * (t * eh))));
}
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(atan(((tan(t) * -eh) / ew))) * (t * eh))))
end function
public static double code(double eh, double ew, double t) {
return Math.abs((ew - (Math.sin(Math.atan(((Math.tan(t) * -eh) / ew))) * (t * eh))));
}
def code(eh, ew, t): return math.fabs((ew - (math.sin(math.atan(((math.tan(t) * -eh) / ew))) * (t * eh))))
function code(eh, ew, t) return abs(Float64(ew - Float64(sin(atan(Float64(Float64(tan(t) * Float64(-eh)) / ew))) * Float64(t * eh)))) end
function tmp = code(eh, ew, t) tmp = abs((ew - (sin(atan(((tan(t) * -eh) / ew))) * (t * eh)))); end
code[eh_, ew_, t_] := N[Abs[N[(ew - N[(N[Sin[N[ArcTan[N[(N[(N[Tan[t], $MachinePrecision] * (-eh)), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(t * eh), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|ew - \sin \tan^{-1} \left(\frac{\tan t \cdot \left(-eh\right)}{ew}\right) \cdot \left(t \cdot eh\right)\right|
\end{array}
Initial program 99.8%
cos-atan99.8%
hypot-1-def99.8%
*-commutative99.8%
associate-/l*99.8%
add-sqr-sqrt51.9%
sqrt-unprod92.7%
sqr-neg92.7%
sqrt-unprod48.0%
add-sqr-sqrt99.8%
Applied egg-rr99.8%
Taylor expanded in t around 0 97.5%
Taylor expanded in t around 0 77.9%
Taylor expanded in t around 0 52.0%
Final simplification52.0%
(FPCore (eh ew t) :precision binary64 (fabs (- (* (* eh (sin t)) (sin (atan (/ (* t (- eh)) ew)))) ew)))
double code(double eh, double ew, double t) {
return fabs((((eh * sin(t)) * sin(atan(((t * -eh) / ew)))) - 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((((eh * sin(t)) * sin(atan(((t * -eh) / ew)))) - ew))
end function
public static double code(double eh, double ew, double t) {
return Math.abs((((eh * Math.sin(t)) * Math.sin(Math.atan(((t * -eh) / ew)))) - ew));
}
def code(eh, ew, t): return math.fabs((((eh * math.sin(t)) * math.sin(math.atan(((t * -eh) / ew)))) - ew))
function code(eh, ew, t) return abs(Float64(Float64(Float64(eh * sin(t)) * sin(atan(Float64(Float64(t * Float64(-eh)) / ew)))) - ew)) end
function tmp = code(eh, ew, t) tmp = abs((((eh * sin(t)) * sin(atan(((t * -eh) / ew)))) - ew)); end
code[eh_, ew_, t_] := N[Abs[N[(N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Sin[N[ArcTan[N[(N[(t * (-eh)), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - ew), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(\frac{t \cdot \left(-eh\right)}{ew}\right) - ew\right|
\end{array}
Initial program 99.8%
cos-atan99.8%
hypot-1-def99.8%
*-commutative99.8%
associate-/l*99.8%
add-sqr-sqrt51.9%
sqrt-unprod92.7%
sqr-neg92.7%
sqrt-unprod48.0%
add-sqr-sqrt99.8%
Applied egg-rr99.8%
Taylor expanded in t around 0 97.5%
Taylor expanded in t around 0 77.9%
Taylor expanded in t around 0 77.9%
associate-*r/77.9%
mul-1-neg77.9%
distribute-rgt-neg-in77.9%
Simplified77.9%
Final simplification77.9%
herbie shell --seed 2023318
(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)))))))