
(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 7 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)))) (* ew (cos t))) (* (* eh (sin t)) (sin (atan (- (/ (* (tan t) eh) ew))))))))
double code(double eh, double ew, double t) {
return fabs((((1.0 / hypot(1.0, (tan(t) / (ew / eh)))) * (ew * cos(t))) - ((eh * sin(t)) * sin(atan(-((tan(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)))) * (ew * Math.cos(t))) - ((eh * Math.sin(t)) * Math.sin(Math.atan(-((Math.tan(t) * eh) / ew))))));
}
def code(eh, ew, t): return math.fabs((((1.0 / math.hypot(1.0, (math.tan(t) / (ew / eh)))) * (ew * math.cos(t))) - ((eh * math.sin(t)) * math.sin(math.atan(-((math.tan(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(ew * cos(t))) - Float64(Float64(eh * sin(t)) * sin(atan(Float64(-Float64(Float64(tan(t) * eh) / ew))))))) end
function tmp = code(eh, ew, t) tmp = abs((((1.0 / hypot(1.0, (tan(t) / (ew / eh)))) * (ew * cos(t))) - ((eh * sin(t)) * sin(atan(-((tan(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[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision]), $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|\frac{1}{\mathsf{hypot}\left(1, \frac{\tan t}{\frac{ew}{eh}}\right)} \cdot \left(ew \cdot \cos t\right) - \left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(-\frac{\tan t \cdot eh}{ew}\right)\right|
\end{array}
Initial program 99.7%
cos-atan99.7%
hypot-1-def99.7%
associate-/l*99.7%
associate-/r/99.7%
add-sqr-sqrt47.9%
sqrt-unprod93.3%
sqr-neg93.3%
sqrt-unprod51.8%
add-sqr-sqrt99.7%
Applied egg-rr99.7%
*-commutative99.7%
associate-*r/99.7%
associate-/l*99.7%
Simplified99.7%
Final simplification99.7%
(FPCore (eh ew t) :precision binary64 (fabs (- (* (/ 1.0 (hypot 1.0 (/ (tan t) (/ ew eh)))) (* ew (cos t))) (* (* 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)))) * (ew * cos(t))) - ((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)))) * (ew * Math.cos(t))) - ((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)))) * (ew * math.cos(t))) - ((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(ew * cos(t))) - Float64(Float64(eh * sin(t)) * sin(atan(Float64(Float64(t * Float64(-eh)) / ew)))))) end
function tmp = code(eh, ew, t) tmp = abs((((1.0 / hypot(1.0, (tan(t) / (ew / eh)))) * (ew * cos(t))) - ((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[(ew * N[Cos[t], $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|\frac{1}{\mathsf{hypot}\left(1, \frac{\tan t}{\frac{ew}{eh}}\right)} \cdot \left(ew \cdot \cos t\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 99.7%
cos-atan99.7%
hypot-1-def99.7%
associate-/l*99.7%
associate-/r/99.7%
add-sqr-sqrt47.9%
sqrt-unprod93.3%
sqr-neg93.3%
sqrt-unprod51.8%
add-sqr-sqrt99.7%
Applied egg-rr99.7%
*-commutative99.7%
associate-*r/99.7%
associate-/l*99.7%
Simplified99.7%
Taylor expanded in t around 0 98.9%
associate-*r/98.9%
mul-1-neg98.9%
*-commutative98.9%
distribute-rgt-neg-in98.9%
Simplified98.9%
Final simplification98.9%
(FPCore (eh ew t) :precision binary64 (fabs (- (* (/ 1.0 (hypot 1.0 (/ (tan t) (/ ew eh)))) (* ew (cos t))) (* (* eh (sin t)) (sin (atan (* eh (/ t ew))))))))
double code(double eh, double ew, double t) {
return fabs((((1.0 / hypot(1.0, (tan(t) / (ew / eh)))) * (ew * cos(t))) - ((eh * sin(t)) * sin(atan((eh * (t / 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)))) * (ew * Math.cos(t))) - ((eh * Math.sin(t)) * Math.sin(Math.atan((eh * (t / ew)))))));
}
def code(eh, ew, t): return math.fabs((((1.0 / math.hypot(1.0, (math.tan(t) / (ew / eh)))) * (ew * math.cos(t))) - ((eh * math.sin(t)) * math.sin(math.atan((eh * (t / ew)))))))
function code(eh, ew, t) return abs(Float64(Float64(Float64(1.0 / hypot(1.0, Float64(tan(t) / Float64(ew / eh)))) * Float64(ew * cos(t))) - Float64(Float64(eh * sin(t)) * sin(atan(Float64(eh * Float64(t / ew))))))) end
function tmp = code(eh, ew, t) tmp = abs((((1.0 / hypot(1.0, (tan(t) / (ew / eh)))) * (ew * cos(t))) - ((eh * sin(t)) * sin(atan((eh * (t / 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[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Sin[N[ArcTan[N[(eh * N[(t / 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(ew \cdot \cos t\right) - \left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(eh \cdot \frac{t}{ew}\right)\right|
\end{array}
Initial program 99.7%
cos-atan99.7%
hypot-1-def99.7%
associate-/l*99.7%
associate-/r/99.7%
add-sqr-sqrt47.9%
sqrt-unprod93.3%
sqr-neg93.3%
sqrt-unprod51.8%
add-sqr-sqrt99.7%
Applied egg-rr99.7%
*-commutative99.7%
associate-*r/99.7%
associate-/l*99.7%
Simplified99.7%
Taylor expanded in t around 0 98.9%
associate-*r/98.9%
mul-1-neg98.9%
*-commutative98.9%
distribute-rgt-neg-in98.9%
Simplified98.9%
distribute-rgt-neg-out98.9%
distribute-lft-neg-in98.9%
*-commutative98.9%
associate-/l*98.9%
associate-/r/98.9%
add-sqr-sqrt47.3%
sqrt-unprod93.7%
sqr-neg93.7%
sqrt-unprod51.7%
add-sqr-sqrt98.5%
Applied egg-rr98.5%
Final simplification98.5%
(FPCore (eh ew t) :precision binary64 (fabs (- (* ew (cos t)) (* (* eh (sin t)) (sin (atan (/ (* t (- eh)) ew)))))))
double code(double eh, double ew, double t) {
return fabs(((ew * cos(t)) - ((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)) - ((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)) - ((eh * Math.sin(t)) * Math.sin(Math.atan(((t * -eh) / ew))))));
}
def code(eh, ew, t): return math.fabs(((ew * math.cos(t)) - ((eh * math.sin(t)) * math.sin(math.atan(((t * -eh) / ew))))))
function code(eh, ew, t) return abs(Float64(Float64(ew * cos(t)) - 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)) - ((eh * sin(t)) * sin(atan(((t * -eh) / 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[(t * (-eh)), $MachinePrecision] / ew), $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{t \cdot \left(-eh\right)}{ew}\right)\right|
\end{array}
Initial program 99.7%
cos-atan99.7%
hypot-1-def99.7%
associate-/l*99.7%
associate-/r/99.7%
add-sqr-sqrt47.9%
sqrt-unprod93.3%
sqr-neg93.3%
sqrt-unprod51.8%
add-sqr-sqrt99.7%
Applied egg-rr99.7%
*-commutative99.7%
associate-*r/99.7%
associate-/l*99.7%
Simplified99.7%
Taylor expanded in t around 0 98.9%
associate-*r/98.9%
mul-1-neg98.9%
*-commutative98.9%
distribute-rgt-neg-in98.9%
Simplified98.9%
Taylor expanded in t around 0 97.7%
Final simplification97.7%
(FPCore (eh ew t)
:precision binary64
(let* ((t_1 (* t (/ eh ew))) (t_2 (* eh (sin t))))
(if (or (<= eh -1.06e+96) (not (<= eh 5e+108)))
(fabs (- ew (* t_2 (sin (atan (/ (* t (- eh)) ew))))))
(fabs (- (* ew (cos t)) (* t_2 (/ t_1 (hypot 1.0 t_1))))))))
double code(double eh, double ew, double t) {
double t_1 = t * (eh / ew);
double t_2 = eh * sin(t);
double tmp;
if ((eh <= -1.06e+96) || !(eh <= 5e+108)) {
tmp = fabs((ew - (t_2 * sin(atan(((t * -eh) / ew))))));
} else {
tmp = fabs(((ew * cos(t)) - (t_2 * (t_1 / hypot(1.0, t_1)))));
}
return tmp;
}
public static double code(double eh, double ew, double t) {
double t_1 = t * (eh / ew);
double t_2 = eh * Math.sin(t);
double tmp;
if ((eh <= -1.06e+96) || !(eh <= 5e+108)) {
tmp = Math.abs((ew - (t_2 * Math.sin(Math.atan(((t * -eh) / ew))))));
} else {
tmp = Math.abs(((ew * Math.cos(t)) - (t_2 * (t_1 / Math.hypot(1.0, t_1)))));
}
return tmp;
}
def code(eh, ew, t): t_1 = t * (eh / ew) t_2 = eh * math.sin(t) tmp = 0 if (eh <= -1.06e+96) or not (eh <= 5e+108): tmp = math.fabs((ew - (t_2 * math.sin(math.atan(((t * -eh) / ew)))))) else: tmp = math.fabs(((ew * math.cos(t)) - (t_2 * (t_1 / math.hypot(1.0, t_1))))) return tmp
function code(eh, ew, t) t_1 = Float64(t * Float64(eh / ew)) t_2 = Float64(eh * sin(t)) tmp = 0.0 if ((eh <= -1.06e+96) || !(eh <= 5e+108)) tmp = abs(Float64(ew - Float64(t_2 * sin(atan(Float64(Float64(t * Float64(-eh)) / ew)))))); else tmp = abs(Float64(Float64(ew * cos(t)) - Float64(t_2 * Float64(t_1 / hypot(1.0, t_1))))); end return tmp end
function tmp_2 = code(eh, ew, t) t_1 = t * (eh / ew); t_2 = eh * sin(t); tmp = 0.0; if ((eh <= -1.06e+96) || ~((eh <= 5e+108))) tmp = abs((ew - (t_2 * sin(atan(((t * -eh) / ew)))))); else tmp = abs(((ew * cos(t)) - (t_2 * (t_1 / hypot(1.0, t_1))))); end tmp_2 = tmp; end
code[eh_, ew_, t_] := Block[{t$95$1 = N[(t * N[(eh / ew), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[eh, -1.06e+96], N[Not[LessEqual[eh, 5e+108]], $MachinePrecision]], N[Abs[N[(ew - N[(t$95$2 * N[Sin[N[ArcTan[N[(N[(t * (-eh)), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], N[Abs[N[(N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision] - N[(t$95$2 * N[(t$95$1 / N[Sqrt[1.0 ^ 2 + t$95$1 ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := t \cdot \frac{eh}{ew}\\
t_2 := eh \cdot \sin t\\
\mathbf{if}\;eh \leq -1.06 \cdot 10^{+96} \lor \neg \left(eh \leq 5 \cdot 10^{+108}\right):\\
\;\;\;\;\left|ew - t_2 \cdot \sin \tan^{-1} \left(\frac{t \cdot \left(-eh\right)}{ew}\right)\right|\\
\mathbf{else}:\\
\;\;\;\;\left|ew \cdot \cos t - t_2 \cdot \frac{t_1}{\mathsf{hypot}\left(1, t_1\right)}\right|\\
\end{array}
\end{array}
if eh < -1.06e96 or 4.99999999999999991e108 < eh Initial program 99.8%
cos-atan99.8%
hypot-1-def99.8%
associate-/l*99.8%
associate-/r/99.8%
add-sqr-sqrt51.1%
sqrt-unprod79.6%
sqr-neg79.6%
sqrt-unprod48.6%
add-sqr-sqrt99.8%
Applied egg-rr99.8%
*-commutative99.8%
associate-*r/99.8%
associate-/l*99.8%
Simplified99.8%
Taylor expanded in t around 0 99.6%
associate-*r/99.6%
mul-1-neg99.6%
*-commutative99.6%
distribute-rgt-neg-in99.6%
Simplified99.6%
Taylor expanded in t around 0 98.3%
Taylor expanded in t around 0 93.6%
if -1.06e96 < eh < 4.99999999999999991e108Initial program 99.7%
cos-atan99.7%
hypot-1-def99.7%
associate-/l*99.7%
associate-/r/99.7%
add-sqr-sqrt46.4%
sqrt-unprod99.7%
sqr-neg99.7%
sqrt-unprod53.3%
add-sqr-sqrt99.7%
Applied egg-rr99.7%
*-commutative99.7%
associate-*r/99.7%
associate-/l*99.7%
Simplified99.7%
Taylor expanded in t around 0 98.6%
associate-*r/98.6%
mul-1-neg98.6%
*-commutative98.6%
distribute-rgt-neg-in98.6%
Simplified98.6%
Taylor expanded in t around 0 97.5%
add-sqr-sqrt52.9%
sqrt-prod95.3%
unpow295.3%
pow1/295.3%
metadata-eval95.3%
pow-pow94.2%
pow1/395.2%
sin-atan81.4%
associate-*r/81.3%
Applied egg-rr86.5%
*-commutative86.5%
associate-/l*87.6%
associate-/r/87.6%
associate-*r/87.4%
associate-*l/89.5%
*-commutative89.5%
associate-*r/91.7%
associate-*l/91.7%
*-commutative91.7%
*-commutative91.7%
Simplified91.7%
Final simplification92.3%
(FPCore (eh ew t)
:precision binary64
(let* ((t_1 (sin (atan (/ (* t (- eh)) ew)))))
(if (or (<= eh -5.3e-220) (not (<= eh 4.6e-19)))
(fabs (- ew (* (* eh (sin t)) t_1)))
(fabs (- (* ew (cos t)) (* t_1 (* t eh)))))))
double code(double eh, double ew, double t) {
double t_1 = sin(atan(((t * -eh) / ew)));
double tmp;
if ((eh <= -5.3e-220) || !(eh <= 4.6e-19)) {
tmp = fabs((ew - ((eh * sin(t)) * t_1)));
} else {
tmp = fabs(((ew * cos(t)) - (t_1 * (t * eh))));
}
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 = sin(atan(((t * -eh) / ew)))
if ((eh <= (-5.3d-220)) .or. (.not. (eh <= 4.6d-19))) then
tmp = abs((ew - ((eh * sin(t)) * t_1)))
else
tmp = abs(((ew * cos(t)) - (t_1 * (t * eh))))
end if
code = tmp
end function
public static double code(double eh, double ew, double t) {
double t_1 = Math.sin(Math.atan(((t * -eh) / ew)));
double tmp;
if ((eh <= -5.3e-220) || !(eh <= 4.6e-19)) {
tmp = Math.abs((ew - ((eh * Math.sin(t)) * t_1)));
} else {
tmp = Math.abs(((ew * Math.cos(t)) - (t_1 * (t * eh))));
}
return tmp;
}
def code(eh, ew, t): t_1 = math.sin(math.atan(((t * -eh) / ew))) tmp = 0 if (eh <= -5.3e-220) or not (eh <= 4.6e-19): tmp = math.fabs((ew - ((eh * math.sin(t)) * t_1))) else: tmp = math.fabs(((ew * math.cos(t)) - (t_1 * (t * eh)))) return tmp
function code(eh, ew, t) t_1 = sin(atan(Float64(Float64(t * Float64(-eh)) / ew))) tmp = 0.0 if ((eh <= -5.3e-220) || !(eh <= 4.6e-19)) tmp = abs(Float64(ew - Float64(Float64(eh * sin(t)) * t_1))); else tmp = abs(Float64(Float64(ew * cos(t)) - Float64(t_1 * Float64(t * eh)))); end return tmp end
function tmp_2 = code(eh, ew, t) t_1 = sin(atan(((t * -eh) / ew))); tmp = 0.0; if ((eh <= -5.3e-220) || ~((eh <= 4.6e-19))) tmp = abs((ew - ((eh * sin(t)) * t_1))); else tmp = abs(((ew * cos(t)) - (t_1 * (t * eh)))); end tmp_2 = tmp; end
code[eh_, ew_, t_] := Block[{t$95$1 = N[Sin[N[ArcTan[N[(N[(t * (-eh)), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]}, If[Or[LessEqual[eh, -5.3e-220], N[Not[LessEqual[eh, 4.6e-19]], $MachinePrecision]], N[Abs[N[(ew - N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], N[Abs[N[(N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision] - N[(t$95$1 * N[(t * eh), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \sin \tan^{-1} \left(\frac{t \cdot \left(-eh\right)}{ew}\right)\\
\mathbf{if}\;eh \leq -5.3 \cdot 10^{-220} \lor \neg \left(eh \leq 4.6 \cdot 10^{-19}\right):\\
\;\;\;\;\left|ew - \left(eh \cdot \sin t\right) \cdot t_1\right|\\
\mathbf{else}:\\
\;\;\;\;\left|ew \cdot \cos t - t_1 \cdot \left(t \cdot eh\right)\right|\\
\end{array}
\end{array}
if eh < -5.3e-220 or 4.5999999999999996e-19 < eh Initial program 99.7%
cos-atan99.7%
hypot-1-def99.7%
associate-/l*99.7%
associate-/r/99.7%
add-sqr-sqrt59.9%
sqrt-unprod90.1%
sqr-neg90.1%
sqrt-unprod39.8%
add-sqr-sqrt99.7%
Applied egg-rr99.7%
*-commutative99.7%
associate-*r/99.7%
associate-/l*99.7%
Simplified99.7%
Taylor expanded in t around 0 98.7%
associate-*r/98.7%
mul-1-neg98.7%
*-commutative98.7%
distribute-rgt-neg-in98.7%
Simplified98.7%
Taylor expanded in t around 0 97.0%
Taylor expanded in t around 0 84.1%
if -5.3e-220 < eh < 4.5999999999999996e-19Initial program 99.8%
cos-atan99.8%
hypot-1-def99.8%
associate-/l*99.8%
associate-/r/99.8%
add-sqr-sqrt22.8%
sqrt-unprod99.8%
sqr-neg99.8%
sqrt-unprod77.0%
add-sqr-sqrt99.8%
Applied egg-rr99.8%
*-commutative99.8%
associate-*r/99.8%
associate-/l*99.8%
Simplified99.8%
Taylor expanded in t around 0 99.4%
associate-*r/99.4%
mul-1-neg99.4%
*-commutative99.4%
distribute-rgt-neg-in99.4%
Simplified99.4%
Taylor expanded in t around 0 99.2%
Taylor expanded in t around 0 80.5%
Final simplification83.0%
(FPCore (eh ew t) :precision binary64 (fabs (- ew (* (* eh (sin t)) (sin (atan (/ (* t (- eh)) ew)))))))
double code(double eh, double ew, double t) {
return fabs((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 - ((eh * sin(t)) * sin(atan(((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(((t * -eh) / ew))))));
}
def code(eh, ew, t): return math.fabs((ew - ((eh * math.sin(t)) * math.sin(math.atan(((t * -eh) / ew))))))
function code(eh, ew, t) return abs(Float64(ew - Float64(Float64(eh * sin(t)) * sin(atan(Float64(Float64(t * Float64(-eh)) / ew)))))) end
function tmp = code(eh, ew, t) tmp = abs((ew - ((eh * sin(t)) * sin(atan(((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[(t * (-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{t \cdot \left(-eh\right)}{ew}\right)\right|
\end{array}
Initial program 99.7%
cos-atan99.7%
hypot-1-def99.7%
associate-/l*99.7%
associate-/r/99.7%
add-sqr-sqrt47.9%
sqrt-unprod93.3%
sqr-neg93.3%
sqrt-unprod51.8%
add-sqr-sqrt99.7%
Applied egg-rr99.7%
*-commutative99.7%
associate-*r/99.7%
associate-/l*99.7%
Simplified99.7%
Taylor expanded in t around 0 98.9%
associate-*r/98.9%
mul-1-neg98.9%
*-commutative98.9%
distribute-rgt-neg-in98.9%
Simplified98.9%
Taylor expanded in t around 0 97.7%
Taylor expanded in t around 0 78.3%
Final simplification78.3%
herbie shell --seed 2023187
(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)))))))