
(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 5 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 (* (tan t) (/ eh ew)))))) (* eh (* (sin t) (sin (atan (* eh (/ (tan t) (- ew))))))))))
double code(double eh, double ew, double t) {
return fabs(((ew * (cos(t) * (1.0 / hypot(1.0, (tan(t) * (eh / ew)))))) - (eh * (sin(t) * sin(atan((eh * (tan(t) / -ew))))))));
}
public static double code(double eh, double ew, double t) {
return Math.abs(((ew * (Math.cos(t) * (1.0 / Math.hypot(1.0, (Math.tan(t) * (eh / ew)))))) - (eh * (Math.sin(t) * Math.sin(Math.atan((eh * (Math.tan(t) / -ew))))))));
}
def code(eh, ew, t): return math.fabs(((ew * (math.cos(t) * (1.0 / math.hypot(1.0, (math.tan(t) * (eh / ew)))))) - (eh * (math.sin(t) * math.sin(math.atan((eh * (math.tan(t) / -ew))))))))
function code(eh, ew, t) return abs(Float64(Float64(ew * Float64(cos(t) * Float64(1.0 / hypot(1.0, Float64(tan(t) * Float64(eh / ew)))))) - 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, (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[(1.0 / N[Sqrt[1.0 ^ 2 + N[(N[Tan[t], $MachinePrecision] * N[(eh / ew), $MachinePrecision]), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(eh * N[(N[Sin[t], $MachinePrecision] * N[Sin[N[ArcTan[N[(eh * N[(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, \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%
fabs-sub99.8%
fabs-neg99.8%
sub0-neg99.8%
associate-+l-99.8%
neg-sub099.8%
+-commutative99.8%
Simplified99.8%
cos-atan99.8%
hypot-1-def99.8%
add-sqr-sqrt53.4%
sqrt-unprod93.4%
sqr-neg93.4%
sqrt-unprod46.4%
add-sqr-sqrt99.8%
Applied egg-rr99.8%
*-commutative99.8%
associate-*l/99.8%
associate-/l*99.8%
Simplified99.8%
Final simplification99.8%
(FPCore (eh ew t) :precision binary64 (fabs (- (* ew (* (cos t) (cos (atan (* eh (/ (tan t) (- ew))))))) (* eh (* (sin t) (sin (atan (/ (* t (- eh)) ew))))))))
double code(double eh, double ew, double t) {
return fabs(((ew * (cos(t) * cos(atan((eh * (tan(t) / -ew)))))) - (eh * (sin(t) * sin(atan(((t * -eh) / ew)))))));
}
real(8) function code(eh, ew, t)
real(8), intent (in) :: eh
real(8), intent (in) :: ew
real(8), intent (in) :: t
code = abs(((ew * (cos(t) * cos(atan((eh * (tan(t) / -ew)))))) - (eh * (sin(t) * sin(atan(((t * -eh) / ew)))))))
end function
public static double code(double eh, double ew, double t) {
return Math.abs(((ew * (Math.cos(t) * Math.cos(Math.atan((eh * (Math.tan(t) / -ew)))))) - (eh * (Math.sin(t) * Math.sin(Math.atan(((t * -eh) / ew)))))));
}
def code(eh, ew, t): return math.fabs(((ew * (math.cos(t) * math.cos(math.atan((eh * (math.tan(t) / -ew)))))) - (eh * (math.sin(t) * math.sin(math.atan(((t * -eh) / ew)))))))
function code(eh, ew, t) return abs(Float64(Float64(ew * Float64(cos(t) * cos(atan(Float64(eh * Float64(tan(t) / Float64(-ew))))))) - Float64(eh * Float64(sin(t) * sin(atan(Float64(Float64(t * Float64(-eh)) / ew))))))) end
function tmp = code(eh, ew, t) tmp = abs(((ew * (cos(t) * cos(atan((eh * (tan(t) / -ew)))))) - (eh * (sin(t) * sin(atan(((t * -eh) / ew))))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(ew * N[(N[Cos[t], $MachinePrecision] * N[Cos[N[ArcTan[N[(eh * N[(N[Tan[t], $MachinePrecision] / (-ew)), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(eh * N[(N[Sin[t], $MachinePrecision] * N[Sin[N[ArcTan[N[(N[(t * (-eh)), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|ew \cdot \left(\cos t \cdot \cos \tan^{-1} \left(eh \cdot \frac{\tan t}{-ew}\right)\right) - eh \cdot \left(\sin t \cdot \sin \tan^{-1} \left(\frac{t \cdot \left(-eh\right)}{ew}\right)\right)\right|
\end{array}
Initial program 99.8%
fabs-sub99.8%
fabs-neg99.8%
sub0-neg99.8%
associate-+l-99.8%
neg-sub099.8%
+-commutative99.8%
Simplified99.8%
Taylor expanded in t around 0 99.5%
associate-*r/99.5%
mul-1-neg99.5%
distribute-rgt-neg-in99.5%
Simplified99.5%
Final simplification99.5%
(FPCore (eh ew t) :precision binary64 (fabs (- (* ew (* (cos t) (/ 1.0 (hypot 1.0 (* (tan t) (/ eh ew)))))) (* eh (sin t)))))
double code(double eh, double ew, double t) {
return fabs(((ew * (cos(t) * (1.0 / hypot(1.0, (tan(t) * (eh / ew)))))) - (eh * sin(t))));
}
public static double code(double eh, double ew, double t) {
return Math.abs(((ew * (Math.cos(t) * (1.0 / Math.hypot(1.0, (Math.tan(t) * (eh / ew)))))) - (eh * Math.sin(t))));
}
def code(eh, ew, t): return math.fabs(((ew * (math.cos(t) * (1.0 / math.hypot(1.0, (math.tan(t) * (eh / ew)))))) - (eh * math.sin(t))))
function code(eh, ew, t) return abs(Float64(Float64(ew * Float64(cos(t) * Float64(1.0 / hypot(1.0, Float64(tan(t) * Float64(eh / ew)))))) - Float64(eh * sin(t)))) end
function tmp = code(eh, ew, t) tmp = abs(((ew * (cos(t) * (1.0 / hypot(1.0, (tan(t) * (eh / ew)))))) - (eh * sin(t)))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(ew * N[(N[Cos[t], $MachinePrecision] * N[(1.0 / N[Sqrt[1.0 ^ 2 + N[(N[Tan[t], $MachinePrecision] * N[(eh / ew), $MachinePrecision]), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|ew \cdot \left(\cos t \cdot \frac{1}{\mathsf{hypot}\left(1, \tan t \cdot \frac{eh}{ew}\right)}\right) - eh \cdot \sin t\right|
\end{array}
Initial program 99.8%
fabs-sub99.8%
fabs-neg99.8%
sub0-neg99.8%
associate-+l-99.8%
neg-sub099.8%
+-commutative99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan81.2%
associate-*r/78.5%
add-sqr-sqrt41.9%
sqrt-unprod65.5%
sqr-neg65.5%
sqrt-unprod36.3%
add-sqr-sqrt78.0%
hypot-1-def85.0%
add-sqr-sqrt44.3%
sqrt-unprod74.1%
sqr-neg74.1%
sqrt-unprod40.5%
Applied egg-rr85.0%
Taylor expanded in eh around inf 99.4%
cos-atan99.8%
hypot-1-def99.8%
add-sqr-sqrt53.4%
sqrt-unprod93.4%
sqr-neg93.4%
sqrt-unprod46.4%
add-sqr-sqrt99.8%
Applied egg-rr99.4%
*-commutative99.8%
associate-*l/99.8%
associate-/l*99.8%
Simplified99.4%
Final simplification99.4%
(FPCore (eh ew t) :precision binary64 (fabs (- (* ew (cos t)) (* eh (sin t)))))
double code(double eh, double ew, double t) {
return fabs(((ew * cos(t)) - (eh * sin(t))));
}
real(8) function code(eh, ew, t)
real(8), intent (in) :: eh
real(8), intent (in) :: ew
real(8), intent (in) :: t
code = abs(((ew * cos(t)) - (eh * sin(t))))
end function
public static double code(double eh, double ew, double t) {
return Math.abs(((ew * Math.cos(t)) - (eh * Math.sin(t))));
}
def code(eh, ew, t): return math.fabs(((ew * math.cos(t)) - (eh * math.sin(t))))
function code(eh, ew, t) return abs(Float64(Float64(ew * cos(t)) - Float64(eh * sin(t)))) end
function tmp = code(eh, ew, t) tmp = abs(((ew * cos(t)) - (eh * sin(t)))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision] - N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|ew \cdot \cos t - eh \cdot \sin t\right|
\end{array}
Initial program 99.8%
fabs-sub99.8%
fabs-neg99.8%
sub0-neg99.8%
associate-+l-99.8%
neg-sub099.8%
+-commutative99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan81.2%
associate-*r/78.5%
add-sqr-sqrt41.9%
sqrt-unprod65.5%
sqr-neg65.5%
sqrt-unprod36.3%
add-sqr-sqrt78.0%
hypot-1-def85.0%
add-sqr-sqrt44.3%
sqrt-unprod74.1%
sqr-neg74.1%
sqrt-unprod40.5%
Applied egg-rr85.0%
Taylor expanded in eh around inf 99.4%
cos-atan99.8%
hypot-1-def99.8%
add-sqr-sqrt53.4%
sqrt-unprod93.4%
sqr-neg93.4%
sqrt-unprod46.4%
add-sqr-sqrt99.8%
Applied egg-rr99.4%
*-commutative99.8%
associate-*l/99.8%
associate-/l*99.8%
Simplified99.4%
Taylor expanded in ew around inf 99.1%
Final simplification99.1%
(FPCore (eh ew t) :precision binary64 (fabs (- ew (* eh (sin t)))))
double code(double eh, double ew, double t) {
return fabs((ew - (eh * sin(t))));
}
real(8) function code(eh, ew, t)
real(8), intent (in) :: eh
real(8), intent (in) :: ew
real(8), intent (in) :: t
code = abs((ew - (eh * sin(t))))
end function
public static double code(double eh, double ew, double t) {
return Math.abs((ew - (eh * Math.sin(t))));
}
def code(eh, ew, t): return math.fabs((ew - (eh * math.sin(t))))
function code(eh, ew, t) return abs(Float64(ew - Float64(eh * sin(t)))) end
function tmp = code(eh, ew, t) tmp = abs((ew - (eh * sin(t)))); end
code[eh_, ew_, t_] := N[Abs[N[(ew - N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|ew - eh \cdot \sin t\right|
\end{array}
Initial program 99.8%
fabs-sub99.8%
fabs-neg99.8%
sub0-neg99.8%
associate-+l-99.8%
neg-sub099.8%
+-commutative99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan81.2%
associate-*r/78.5%
add-sqr-sqrt41.9%
sqrt-unprod65.5%
sqr-neg65.5%
sqrt-unprod36.3%
add-sqr-sqrt78.0%
hypot-1-def85.0%
add-sqr-sqrt44.3%
sqrt-unprod74.1%
sqr-neg74.1%
sqrt-unprod40.5%
Applied egg-rr85.0%
Taylor expanded in eh around inf 99.4%
cos-atan99.8%
hypot-1-def99.8%
add-sqr-sqrt53.4%
sqrt-unprod93.4%
sqr-neg93.4%
sqrt-unprod46.4%
add-sqr-sqrt99.8%
Applied egg-rr99.4%
*-commutative99.8%
associate-*l/99.8%
associate-/l*99.8%
Simplified99.4%
Taylor expanded in t around 0 79.1%
Final simplification79.1%
herbie shell --seed 2024048
(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)))))))