
(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)) (/ 1.0 (hypot 1.0 (/ eh (/ ew (tan t)))))) (* 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 / (ew / tan(t)))))) - (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 / (ew / Math.tan(t)))))) - (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 / (ew / math.tan(t)))))) - (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(eh / Float64(ew / tan(t)))))) - Float64(eh * Float64(sin(t) * sin(atan(Float64(eh * Float64(tan(t) / Float64(-ew))))))))) end
function tmp = code(eh, ew, t) tmp = abs((((ew * cos(t)) * (1.0 / hypot(1.0, (eh / (ew / tan(t)))))) - (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[(eh / N[(ew / N[Tan[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] ^ 2], $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|\left(ew \cdot \cos t\right) \cdot \frac{1}{\mathsf{hypot}\left(1, \frac{eh}{\frac{ew}{\tan t}}\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%
sub-neg99.8%
associate-*l*99.8%
distribute-rgt-neg-in99.8%
cancel-sign-sub99.8%
associate-/l*99.8%
Simplified99.8%
cos-atan99.8%
hypot-1-def99.8%
add-sqr-sqrt39.8%
sqrt-unprod94.1%
sqr-neg94.1%
sqrt-unprod60.1%
add-sqr-sqrt99.8%
clear-num99.8%
un-div-inv99.8%
Applied egg-rr99.8%
Final simplification99.8%
(FPCore (eh ew t) :precision binary64 (fabs (- (* (* ew (cos t)) (cos (atan (* eh (/ (tan t) (- ew)))))) (* eh (* (sin t) (sin (atan (* eh (/ 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 * (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 * (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 * (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 * (t / -ew))))))))
function code(eh, ew, t) return abs(Float64(Float64(Float64(ew * cos(t)) * cos(atan(Float64(eh * Float64(tan(t) / Float64(-ew)))))) - Float64(eh * Float64(sin(t) * sin(atan(Float64(eh * Float64(t / Float64(-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 * (t / -ew)))))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision] * N[Cos[N[ArcTan[N[(eh * N[(N[Tan[t], $MachinePrecision] / (-ew)), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(eh * N[(N[Sin[t], $MachinePrecision] * N[Sin[N[ArcTan[N[(eh * N[(t / (-ew)), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\left(ew \cdot \cos t\right) \cdot \cos \tan^{-1} \left(eh \cdot \frac{\tan t}{-ew}\right) - eh \cdot \left(\sin t \cdot \sin \tan^{-1} \left(eh \cdot \frac{t}{-ew}\right)\right)\right|
\end{array}
Initial program 99.8%
sub-neg99.8%
associate-*l*99.8%
distribute-rgt-neg-in99.8%
cancel-sign-sub99.8%
associate-/l*99.8%
Simplified99.8%
Taylor expanded in t around 0 99.0%
Final simplification99.0%
(FPCore (eh ew t) :precision binary64 (fabs (+ (* (* ew (cos t)) (/ 1.0 (hypot 1.0 (/ eh (/ ew (tan t)))))) (* eh (sin t)))))
double code(double eh, double ew, double t) {
return fabs((((ew * cos(t)) * (1.0 / hypot(1.0, (eh / (ew / tan(t)))))) + (eh * sin(t))));
}
public static double code(double eh, double ew, double t) {
return Math.abs((((ew * Math.cos(t)) * (1.0 / Math.hypot(1.0, (eh / (ew / Math.tan(t)))))) + (eh * Math.sin(t))));
}
def code(eh, ew, t): return math.fabs((((ew * math.cos(t)) * (1.0 / math.hypot(1.0, (eh / (ew / math.tan(t)))))) + (eh * math.sin(t))))
function code(eh, ew, t) return abs(Float64(Float64(Float64(ew * cos(t)) * Float64(1.0 / hypot(1.0, Float64(eh / Float64(ew / tan(t)))))) + Float64(eh * sin(t)))) end
function tmp = code(eh, ew, t) tmp = abs((((ew * cos(t)) * (1.0 / hypot(1.0, (eh / (ew / tan(t)))))) + (eh * sin(t)))); 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[(eh / N[(ew / N[Tan[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\left(ew \cdot \cos t\right) \cdot \frac{1}{\mathsf{hypot}\left(1, \frac{eh}{\frac{ew}{\tan t}}\right)} + eh \cdot \sin t\right|
\end{array}
Initial program 99.8%
sub-neg99.8%
associate-*l*99.8%
distribute-rgt-neg-in99.8%
cancel-sign-sub99.8%
associate-/l*99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan80.7%
associate-*r/78.7%
add-sqr-sqrt33.1%
sqrt-unprod63.1%
sqr-neg63.1%
sqrt-unprod44.9%
add-sqr-sqrt77.7%
clear-num77.6%
un-div-inv77.6%
hypot-1-def83.1%
add-sqr-sqrt33.9%
Applied egg-rr83.2%
associate-*l*83.2%
associate-/l*90.1%
associate-/r/85.9%
associate-*r*85.9%
associate-/r/85.8%
associate-*l/86.0%
associate-/l*86.0%
Simplified86.0%
Taylor expanded in eh around -inf 98.5%
mul-1-neg98.5%
Simplified98.5%
cos-atan99.8%
hypot-1-def99.8%
add-sqr-sqrt39.8%
sqrt-unprod94.1%
sqr-neg94.1%
sqrt-unprod60.1%
add-sqr-sqrt99.8%
clear-num99.8%
un-div-inv99.8%
Applied egg-rr98.5%
Final simplification98.5%
(FPCore (eh ew t) :precision binary64 (fabs (- (* (* ew (cos t)) (cos (atan (* eh (/ t (- ew)))))) (* eh (sin t)))))
double code(double eh, double ew, double t) {
return fabs((((ew * cos(t)) * 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(t)) * 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(t)) * Math.cos(Math.atan((eh * (t / -ew))))) - (eh * Math.sin(t))));
}
def code(eh, ew, t): return math.fabs((((ew * math.cos(t)) * math.cos(math.atan((eh * (t / -ew))))) - (eh * math.sin(t))))
function code(eh, ew, t) return abs(Float64(Float64(Float64(ew * cos(t)) * cos(atan(Float64(eh * Float64(t / Float64(-ew)))))) - Float64(eh * sin(t)))) end
function tmp = code(eh, ew, t) tmp = abs((((ew * cos(t)) * cos(atan((eh * (t / -ew))))) - (eh * sin(t)))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision] * N[Cos[N[ArcTan[N[(eh * N[(t / (-ew)), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\left(ew \cdot \cos t\right) \cdot \cos \tan^{-1} \left(eh \cdot \frac{t}{-ew}\right) - eh \cdot \sin t\right|
\end{array}
Initial program 99.8%
sub-neg99.8%
associate-*l*99.8%
distribute-rgt-neg-in99.8%
cancel-sign-sub99.8%
associate-/l*99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan80.7%
associate-*r/78.7%
add-sqr-sqrt33.1%
sqrt-unprod63.1%
sqr-neg63.1%
sqrt-unprod44.9%
add-sqr-sqrt77.7%
clear-num77.6%
un-div-inv77.6%
hypot-1-def83.1%
add-sqr-sqrt33.9%
Applied egg-rr83.2%
associate-*l*83.2%
associate-/l*90.1%
associate-/r/85.9%
associate-*r*85.9%
associate-/r/85.8%
associate-*l/86.0%
associate-/l*86.0%
Simplified86.0%
Taylor expanded in eh around inf 98.4%
Taylor expanded in t around 0 92.0%
Final simplification92.0%
(FPCore (eh ew t) :precision binary64 (if (or (<= ew -1.36e+85) (not (<= ew 4.2e+133))) (fabs (* ew (cos t))) (fabs (+ (* eh (sin t)) (* ew (/ 1.0 (hypot 1.0 (/ eh (/ ew (tan t))))))))))
double code(double eh, double ew, double t) {
double tmp;
if ((ew <= -1.36e+85) || !(ew <= 4.2e+133)) {
tmp = fabs((ew * cos(t)));
} else {
tmp = fabs(((eh * sin(t)) + (ew * (1.0 / hypot(1.0, (eh / (ew / tan(t))))))));
}
return tmp;
}
public static double code(double eh, double ew, double t) {
double tmp;
if ((ew <= -1.36e+85) || !(ew <= 4.2e+133)) {
tmp = Math.abs((ew * Math.cos(t)));
} else {
tmp = Math.abs(((eh * Math.sin(t)) + (ew * (1.0 / Math.hypot(1.0, (eh / (ew / Math.tan(t))))))));
}
return tmp;
}
def code(eh, ew, t): tmp = 0 if (ew <= -1.36e+85) or not (ew <= 4.2e+133): tmp = math.fabs((ew * math.cos(t))) else: tmp = math.fabs(((eh * math.sin(t)) + (ew * (1.0 / math.hypot(1.0, (eh / (ew / math.tan(t)))))))) return tmp
function code(eh, ew, t) tmp = 0.0 if ((ew <= -1.36e+85) || !(ew <= 4.2e+133)) tmp = abs(Float64(ew * cos(t))); else tmp = abs(Float64(Float64(eh * sin(t)) + Float64(ew * Float64(1.0 / hypot(1.0, Float64(eh / Float64(ew / tan(t)))))))); end return tmp end
function tmp_2 = code(eh, ew, t) tmp = 0.0; if ((ew <= -1.36e+85) || ~((ew <= 4.2e+133))) tmp = abs((ew * cos(t))); else tmp = abs(((eh * sin(t)) + (ew * (1.0 / hypot(1.0, (eh / (ew / tan(t)))))))); end tmp_2 = tmp; end
code[eh_, ew_, t_] := If[Or[LessEqual[ew, -1.36e+85], N[Not[LessEqual[ew, 4.2e+133]], $MachinePrecision]], N[Abs[N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision]], $MachinePrecision], N[Abs[N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] + N[(ew * N[(1.0 / N[Sqrt[1.0 ^ 2 + N[(eh / N[(ew / N[Tan[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;ew \leq -1.36 \cdot 10^{+85} \lor \neg \left(ew \leq 4.2 \cdot 10^{+133}\right):\\
\;\;\;\;\left|ew \cdot \cos t\right|\\
\mathbf{else}:\\
\;\;\;\;\left|eh \cdot \sin t + ew \cdot \frac{1}{\mathsf{hypot}\left(1, \frac{eh}{\frac{ew}{\tan t}}\right)}\right|\\
\end{array}
\end{array}
if ew < -1.3599999999999999e85 or 4.2e133 < ew Initial program 99.7%
sub-neg99.7%
associate-*l*99.7%
distribute-rgt-neg-in99.7%
cancel-sign-sub99.7%
associate-/l*99.7%
Simplified99.7%
cos-atan99.7%
hypot-1-def99.7%
add-sqr-sqrt37.8%
sqrt-unprod86.6%
sqr-neg86.6%
sqrt-unprod61.9%
add-sqr-sqrt99.7%
clear-num99.7%
un-div-inv99.7%
Applied egg-rr99.7%
Taylor expanded in eh around 0 99.3%
Applied egg-rr91.3%
+-inverses91.2%
*-commutative91.2%
associate-/l*91.2%
mul0-lft91.2%
Simplified91.3%
if -1.3599999999999999e85 < ew < 4.2e133Initial program 99.9%
sub-neg99.9%
associate-*l*99.9%
distribute-rgt-neg-in99.9%
cancel-sign-sub99.9%
associate-/l*99.9%
Simplified99.9%
associate-*r*99.9%
sin-atan70.9%
associate-*r/70.6%
add-sqr-sqrt30.7%
sqrt-unprod55.3%
sqr-neg55.3%
sqrt-unprod38.9%
add-sqr-sqrt69.0%
clear-num69.0%
un-div-inv68.9%
hypot-1-def77.3%
add-sqr-sqrt31.8%
Applied egg-rr77.5%
associate-*l*77.4%
associate-/l*85.2%
associate-/r/78.8%
associate-*r*78.8%
associate-/r/78.7%
associate-*l/78.9%
associate-/l*78.9%
Simplified78.9%
Taylor expanded in eh around -inf 98.2%
mul-1-neg98.2%
Simplified98.2%
cos-atan99.9%
hypot-1-def99.9%
add-sqr-sqrt40.8%
sqrt-unprod98.0%
sqr-neg98.0%
sqrt-unprod59.1%
add-sqr-sqrt99.9%
clear-num99.9%
un-div-inv99.9%
Applied egg-rr98.2%
Taylor expanded in t around 0 89.1%
Final simplification89.8%
(FPCore (eh ew t) :precision binary64 (fabs (+ (* eh (sin t)) (* (* ew (cos t)) (/ 1.0 (hypot 1.0 (/ (* t eh) ew)))))))
double code(double eh, double ew, double t) {
return fabs(((eh * sin(t)) + ((ew * cos(t)) * (1.0 / hypot(1.0, ((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, ((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, ((t * eh) / ew))))))
function code(eh, ew, t) return abs(Float64(Float64(eh * sin(t)) + Float64(Float64(ew * cos(t)) * Float64(1.0 / hypot(1.0, Float64(Float64(t * eh) / ew)))))) end
function tmp = code(eh, ew, t) tmp = abs(((eh * sin(t)) + ((ew * cos(t)) * (1.0 / hypot(1.0, ((t * eh) / ew)))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] + N[(N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Sqrt[1.0 ^ 2 + N[(N[(t * eh), $MachinePrecision] / ew), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|eh \cdot \sin t + \left(ew \cdot \cos t\right) \cdot \frac{1}{\mathsf{hypot}\left(1, \frac{t \cdot eh}{ew}\right)}\right|
\end{array}
Initial program 99.8%
sub-neg99.8%
associate-*l*99.8%
distribute-rgt-neg-in99.8%
cancel-sign-sub99.8%
associate-/l*99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan80.7%
associate-*r/78.7%
add-sqr-sqrt33.1%
sqrt-unprod63.1%
sqr-neg63.1%
sqrt-unprod44.9%
add-sqr-sqrt77.7%
clear-num77.6%
un-div-inv77.6%
hypot-1-def83.1%
add-sqr-sqrt33.9%
Applied egg-rr83.2%
associate-*l*83.2%
associate-/l*90.1%
associate-/r/85.9%
associate-*r*85.9%
associate-/r/85.8%
associate-*l/86.0%
associate-/l*86.0%
Simplified86.0%
Taylor expanded in eh around -inf 98.5%
mul-1-neg98.5%
Simplified98.5%
cos-atan99.8%
hypot-1-def99.8%
add-sqr-sqrt39.8%
sqrt-unprod94.1%
sqr-neg94.1%
sqrt-unprod60.1%
add-sqr-sqrt99.8%
clear-num99.8%
un-div-inv99.8%
Applied egg-rr98.5%
Taylor expanded in t around 0 91.9%
Final simplification91.9%
(FPCore (eh ew t) :precision binary64 (fabs (* ew (cos t))))
double code(double eh, double ew, double t) {
return fabs((ew * cos(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)))
end function
public static double code(double eh, double ew, double t) {
return Math.abs((ew * Math.cos(t)));
}
def code(eh, ew, t): return math.fabs((ew * math.cos(t)))
function code(eh, ew, t) return abs(Float64(ew * cos(t))) end
function tmp = code(eh, ew, t) tmp = abs((ew * cos(t))); end
code[eh_, ew_, t_] := N[Abs[N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|ew \cdot \cos t\right|
\end{array}
Initial program 99.8%
sub-neg99.8%
associate-*l*99.8%
distribute-rgt-neg-in99.8%
cancel-sign-sub99.8%
associate-/l*99.8%
Simplified99.8%
cos-atan99.8%
hypot-1-def99.8%
add-sqr-sqrt39.8%
sqrt-unprod94.1%
sqr-neg94.1%
sqrt-unprod60.1%
add-sqr-sqrt99.8%
clear-num99.8%
un-div-inv99.8%
Applied egg-rr99.8%
Taylor expanded in eh around 0 98.0%
Applied egg-rr60.2%
+-inverses60.0%
*-commutative60.0%
associate-/l*60.0%
mul0-lft60.0%
Simplified60.2%
Final simplification60.2%
(FPCore (eh ew t) :precision binary64 (fabs ew))
double code(double eh, double ew, double t) {
return fabs(ew);
}
real(8) function code(eh, ew, t)
real(8), intent (in) :: eh
real(8), intent (in) :: ew
real(8), intent (in) :: t
code = abs(ew)
end function
public static double code(double eh, double ew, double t) {
return Math.abs(ew);
}
def code(eh, ew, t): return math.fabs(ew)
function code(eh, ew, t) return abs(ew) end
function tmp = code(eh, ew, t) tmp = abs(ew); end
code[eh_, ew_, t_] := N[Abs[ew], $MachinePrecision]
\begin{array}{l}
\\
\left|ew\right|
\end{array}
Initial program 99.8%
sub-neg99.8%
associate-*l*99.8%
distribute-rgt-neg-in99.8%
cancel-sign-sub99.8%
associate-/l*99.8%
Simplified99.8%
Applied egg-rr60.0%
+-inverses60.0%
*-commutative60.0%
associate-/l*60.0%
mul0-lft60.0%
Simplified60.0%
Taylor expanded in t around 0 43.0%
add-exp-log20.3%
cos-atan20.4%
un-div-inv20.4%
hypot-1-def20.4%
add-sqr-sqrt7.2%
sqrt-unprod18.1%
sqr-neg18.1%
sqrt-unprod13.2%
add-sqr-sqrt20.4%
Applied egg-rr20.4%
Taylor expanded in ew around inf 43.2%
Final simplification43.2%
herbie shell --seed 2024080
(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)))))))