
(FPCore (eh ew t) :precision binary64 (let* ((t_1 (atan (/ (/ eh ew) (tan t))))) (fabs (+ (* (* ew (sin t)) (cos t_1)) (* (* eh (cos t)) (sin t_1))))))
double code(double eh, double ew, double t) {
double t_1 = atan(((eh / ew) / tan(t)));
return fabs((((ew * sin(t)) * cos(t_1)) + ((eh * cos(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 / ew) / tan(t)))
code = abs((((ew * sin(t)) * cos(t_1)) + ((eh * cos(t)) * sin(t_1))))
end function
public static double code(double eh, double ew, double t) {
double t_1 = Math.atan(((eh / ew) / Math.tan(t)));
return Math.abs((((ew * Math.sin(t)) * Math.cos(t_1)) + ((eh * Math.cos(t)) * Math.sin(t_1))));
}
def code(eh, ew, t): t_1 = math.atan(((eh / ew) / math.tan(t))) return math.fabs((((ew * math.sin(t)) * math.cos(t_1)) + ((eh * math.cos(t)) * math.sin(t_1))))
function code(eh, ew, t) t_1 = atan(Float64(Float64(eh / ew) / tan(t))) return abs(Float64(Float64(Float64(ew * sin(t)) * cos(t_1)) + Float64(Float64(eh * cos(t)) * sin(t_1)))) end
function tmp = code(eh, ew, t) t_1 = atan(((eh / ew) / tan(t))); tmp = abs((((ew * sin(t)) * cos(t_1)) + ((eh * cos(t)) * sin(t_1)))); end
code[eh_, ew_, t_] := Block[{t$95$1 = N[ArcTan[N[(N[(eh / ew), $MachinePrecision] / N[Tan[t], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, N[Abs[N[(N[(N[(ew * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Cos[t$95$1], $MachinePrecision]), $MachinePrecision] + N[(N[(eh * N[Cos[t], $MachinePrecision]), $MachinePrecision] * N[Sin[t$95$1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \tan^{-1} \left(\frac{\frac{eh}{ew}}{\tan t}\right)\\
\left|\left(ew \cdot \sin t\right) \cdot \cos t_1 + \left(eh \cdot \cos 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 ew) (tan t))))) (fabs (+ (* (* ew (sin t)) (cos t_1)) (* (* eh (cos t)) (sin t_1))))))
double code(double eh, double ew, double t) {
double t_1 = atan(((eh / ew) / tan(t)));
return fabs((((ew * sin(t)) * cos(t_1)) + ((eh * cos(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 / ew) / tan(t)))
code = abs((((ew * sin(t)) * cos(t_1)) + ((eh * cos(t)) * sin(t_1))))
end function
public static double code(double eh, double ew, double t) {
double t_1 = Math.atan(((eh / ew) / Math.tan(t)));
return Math.abs((((ew * Math.sin(t)) * Math.cos(t_1)) + ((eh * Math.cos(t)) * Math.sin(t_1))));
}
def code(eh, ew, t): t_1 = math.atan(((eh / ew) / math.tan(t))) return math.fabs((((ew * math.sin(t)) * math.cos(t_1)) + ((eh * math.cos(t)) * math.sin(t_1))))
function code(eh, ew, t) t_1 = atan(Float64(Float64(eh / ew) / tan(t))) return abs(Float64(Float64(Float64(ew * sin(t)) * cos(t_1)) + Float64(Float64(eh * cos(t)) * sin(t_1)))) end
function tmp = code(eh, ew, t) t_1 = atan(((eh / ew) / tan(t))); tmp = abs((((ew * sin(t)) * cos(t_1)) + ((eh * cos(t)) * sin(t_1)))); end
code[eh_, ew_, t_] := Block[{t$95$1 = N[ArcTan[N[(N[(eh / ew), $MachinePrecision] / N[Tan[t], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, N[Abs[N[(N[(N[(ew * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Cos[t$95$1], $MachinePrecision]), $MachinePrecision] + N[(N[(eh * N[Cos[t], $MachinePrecision]), $MachinePrecision] * N[Sin[t$95$1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \tan^{-1} \left(\frac{\frac{eh}{ew}}{\tan t}\right)\\
\left|\left(ew \cdot \sin t\right) \cdot \cos t_1 + \left(eh \cdot \cos t\right) \cdot \sin t_1\right|
\end{array}
\end{array}
(FPCore (eh ew t) :precision binary64 (let* ((t_1 (atan (/ eh (* ew (tan t)))))) (fabs (fma (* ew (sin t)) (cos t_1) (* eh (* (cos t) (sin t_1)))))))
double code(double eh, double ew, double t) {
double t_1 = atan((eh / (ew * tan(t))));
return fabs(fma((ew * sin(t)), cos(t_1), (eh * (cos(t) * sin(t_1)))));
}
function code(eh, ew, t) t_1 = atan(Float64(eh / Float64(ew * tan(t)))) return abs(fma(Float64(ew * sin(t)), cos(t_1), Float64(eh * Float64(cos(t) * sin(t_1))))) end
code[eh_, ew_, t_] := Block[{t$95$1 = N[ArcTan[N[(eh / N[(ew * N[Tan[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, N[Abs[N[(N[(ew * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Cos[t$95$1], $MachinePrecision] + N[(eh * N[(N[Cos[t], $MachinePrecision] * N[Sin[t$95$1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \tan^{-1} \left(\frac{eh}{ew \cdot \tan t}\right)\\
\left|\mathsf{fma}\left(ew \cdot \sin t, \cos t_1, eh \cdot \left(\cos t \cdot \sin t_1\right)\right)\right|
\end{array}
\end{array}
Initial program 99.7%
fma-def99.8%
associate-/l/99.8%
associate-*l*99.8%
associate-/l/99.8%
Simplified99.8%
Final simplification99.8%
(FPCore (eh ew t) :precision binary64 (fabs (+ (* (* ew (sin t)) (/ 1.0 (hypot 1.0 (/ eh (* ew (tan t)))))) (* (* eh (cos t)) (sin (atan (/ (/ eh ew) (tan t))))))))
double code(double eh, double ew, double t) {
return fabs((((ew * sin(t)) * (1.0 / hypot(1.0, (eh / (ew * tan(t)))))) + ((eh * cos(t)) * sin(atan(((eh / ew) / tan(t)))))));
}
public static double code(double eh, double ew, double t) {
return Math.abs((((ew * Math.sin(t)) * (1.0 / Math.hypot(1.0, (eh / (ew * Math.tan(t)))))) + ((eh * Math.cos(t)) * Math.sin(Math.atan(((eh / ew) / Math.tan(t)))))));
}
def code(eh, ew, t): return math.fabs((((ew * math.sin(t)) * (1.0 / math.hypot(1.0, (eh / (ew * math.tan(t)))))) + ((eh * math.cos(t)) * math.sin(math.atan(((eh / ew) / math.tan(t)))))))
function code(eh, ew, t) return abs(Float64(Float64(Float64(ew * sin(t)) * Float64(1.0 / hypot(1.0, Float64(eh / Float64(ew * tan(t)))))) + Float64(Float64(eh * cos(t)) * sin(atan(Float64(Float64(eh / ew) / tan(t))))))) end
function tmp = code(eh, ew, t) tmp = abs((((ew * sin(t)) * (1.0 / hypot(1.0, (eh / (ew * tan(t)))))) + ((eh * cos(t)) * sin(atan(((eh / ew) / tan(t))))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(N[(ew * N[Sin[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[(N[(eh * N[Cos[t], $MachinePrecision]), $MachinePrecision] * N[Sin[N[ArcTan[N[(N[(eh / ew), $MachinePrecision] / N[Tan[t], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\left(ew \cdot \sin t\right) \cdot \frac{1}{\mathsf{hypot}\left(1, \frac{eh}{ew \cdot \tan t}\right)} + \left(eh \cdot \cos t\right) \cdot \sin \tan^{-1} \left(\frac{\frac{eh}{ew}}{\tan t}\right)\right|
\end{array}
Initial program 99.7%
associate-/l/99.7%
cos-atan99.7%
hypot-1-def99.7%
*-commutative99.7%
Applied egg-rr99.7%
Final simplification99.7%
(FPCore (eh ew t) :precision binary64 (fabs (fma (* ew (sin t)) (/ 1.0 (hypot 1.0 (/ (/ eh ew) (tan t)))) (* eh (- (cos t))))))
double code(double eh, double ew, double t) {
return fabs(fma((ew * sin(t)), (1.0 / hypot(1.0, ((eh / ew) / tan(t)))), (eh * -cos(t))));
}
function code(eh, ew, t) return abs(fma(Float64(ew * sin(t)), Float64(1.0 / hypot(1.0, Float64(Float64(eh / ew) / tan(t)))), Float64(eh * Float64(-cos(t))))) end
code[eh_, ew_, t_] := N[Abs[N[(N[(ew * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Sqrt[1.0 ^ 2 + N[(N[(eh / ew), $MachinePrecision] / N[Tan[t], $MachinePrecision]), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision] + N[(eh * (-N[Cos[t], $MachinePrecision])), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\mathsf{fma}\left(ew \cdot \sin t, \frac{1}{\mathsf{hypot}\left(1, \frac{\frac{eh}{ew}}{\tan t}\right)}, eh \cdot \left(-\cos t\right)\right)\right|
\end{array}
Initial program 99.7%
fma-def99.8%
associate-/l/99.8%
associate-*l*99.8%
associate-/l/99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan59.4%
associate-*r/57.5%
*-commutative57.5%
hypot-1-def62.4%
*-commutative62.4%
Applied egg-rr62.4%
associate-/l/62.4%
associate-/r*62.4%
cos-atan62.4%
hypot-1-def62.4%
associate-/r*62.4%
Applied egg-rr62.4%
Taylor expanded in eh around -inf 99.0%
associate-*r*99.0%
neg-mul-199.0%
Simplified99.0%
Final simplification99.0%
(FPCore (eh ew t) :precision binary64 (fabs (fma (* ew (sin t)) (/ 1.0 (hypot 1.0 (/ (/ eh ew) (tan t)))) (* eh (cos t)))))
double code(double eh, double ew, double t) {
return fabs(fma((ew * sin(t)), (1.0 / hypot(1.0, ((eh / ew) / tan(t)))), (eh * cos(t))));
}
function code(eh, ew, t) return abs(fma(Float64(ew * sin(t)), Float64(1.0 / hypot(1.0, Float64(Float64(eh / ew) / tan(t)))), Float64(eh * cos(t)))) end
code[eh_, ew_, t_] := N[Abs[N[(N[(ew * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Sqrt[1.0 ^ 2 + N[(N[(eh / ew), $MachinePrecision] / N[Tan[t], $MachinePrecision]), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision] + N[(eh * N[Cos[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\mathsf{fma}\left(ew \cdot \sin t, \frac{1}{\mathsf{hypot}\left(1, \frac{\frac{eh}{ew}}{\tan t}\right)}, eh \cdot \cos t\right)\right|
\end{array}
Initial program 99.7%
fma-def99.8%
associate-/l/99.8%
associate-*l*99.8%
associate-/l/99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan59.4%
associate-*r/57.5%
*-commutative57.5%
hypot-1-def62.4%
*-commutative62.4%
Applied egg-rr62.4%
associate-/l/62.4%
associate-/r*62.4%
cos-atan62.4%
hypot-1-def62.4%
associate-/r*62.4%
Applied egg-rr62.4%
Taylor expanded in eh around inf 99.0%
Final simplification99.0%
(FPCore (eh ew t)
:precision binary64
(let* ((t_1 (* ew (sin t))))
(if (or (<= ew -2.7e-61) (not (<= ew 1.4e-79)))
(fabs (fma t_1 (/ 1.0 (hypot 1.0 (/ eh (* ew t)))) eh))
(fabs (fma t_1 (/ (* ew t) eh) (* eh (cos t)))))))
double code(double eh, double ew, double t) {
double t_1 = ew * sin(t);
double tmp;
if ((ew <= -2.7e-61) || !(ew <= 1.4e-79)) {
tmp = fabs(fma(t_1, (1.0 / hypot(1.0, (eh / (ew * t)))), eh));
} else {
tmp = fabs(fma(t_1, ((ew * t) / eh), (eh * cos(t))));
}
return tmp;
}
function code(eh, ew, t) t_1 = Float64(ew * sin(t)) tmp = 0.0 if ((ew <= -2.7e-61) || !(ew <= 1.4e-79)) tmp = abs(fma(t_1, Float64(1.0 / hypot(1.0, Float64(eh / Float64(ew * t)))), eh)); else tmp = abs(fma(t_1, Float64(Float64(ew * t) / eh), Float64(eh * cos(t)))); end return tmp end
code[eh_, ew_, t_] := Block[{t$95$1 = N[(ew * N[Sin[t], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[ew, -2.7e-61], N[Not[LessEqual[ew, 1.4e-79]], $MachinePrecision]], N[Abs[N[(t$95$1 * N[(1.0 / N[Sqrt[1.0 ^ 2 + N[(eh / N[(ew * t), $MachinePrecision]), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision] + eh), $MachinePrecision]], $MachinePrecision], N[Abs[N[(t$95$1 * N[(N[(ew * t), $MachinePrecision] / eh), $MachinePrecision] + N[(eh * N[Cos[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := ew \cdot \sin t\\
\mathbf{if}\;ew \leq -2.7 \cdot 10^{-61} \lor \neg \left(ew \leq 1.4 \cdot 10^{-79}\right):\\
\;\;\;\;\left|\mathsf{fma}\left(t_1, \frac{1}{\mathsf{hypot}\left(1, \frac{eh}{ew \cdot t}\right)}, eh\right)\right|\\
\mathbf{else}:\\
\;\;\;\;\left|\mathsf{fma}\left(t_1, \frac{ew \cdot t}{eh}, eh \cdot \cos t\right)\right|\\
\end{array}
\end{array}
if ew < -2.69999999999999993e-61 or 1.40000000000000006e-79 < ew Initial program 99.7%
fma-def99.7%
associate-/l/99.7%
associate-*l*99.7%
associate-/l/99.7%
Simplified99.7%
associate-*r*99.7%
sin-atan77.9%
associate-*r/75.0%
*-commutative75.0%
hypot-1-def77.1%
*-commutative77.1%
Applied egg-rr77.1%
Taylor expanded in t around 0 87.2%
Taylor expanded in t around 0 87.2%
associate-/r*87.2%
Simplified87.2%
associate-/r*87.2%
cos-atan87.2%
hypot-1-def87.2%
*-commutative87.2%
Applied egg-rr87.2%
if -2.69999999999999993e-61 < ew < 1.40000000000000006e-79Initial program 99.8%
fma-def99.8%
associate-/l/99.8%
associate-*l*99.8%
associate-/l/99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan30.6%
associate-*r/30.2%
*-commutative30.2%
hypot-1-def39.3%
*-commutative39.3%
Applied egg-rr39.3%
associate-/l/39.3%
associate-/r*39.3%
cos-atan39.3%
hypot-1-def39.3%
associate-/r*39.3%
Applied egg-rr39.3%
Taylor expanded in t around 0 19.6%
Taylor expanded in eh around inf 80.1%
Final simplification84.4%
(FPCore (eh ew t) :precision binary64 (if (or (<= t -330000.0) (not (<= t 0.00055))) (fabs (fma (* ew (sin t)) (/ (* ew t) eh) (* eh (cos t)))) (fabs (fma (* ew t) (cos (atan (/ (/ eh ew) t))) eh))))
double code(double eh, double ew, double t) {
double tmp;
if ((t <= -330000.0) || !(t <= 0.00055)) {
tmp = fabs(fma((ew * sin(t)), ((ew * t) / eh), (eh * cos(t))));
} else {
tmp = fabs(fma((ew * t), cos(atan(((eh / ew) / t))), eh));
}
return tmp;
}
function code(eh, ew, t) tmp = 0.0 if ((t <= -330000.0) || !(t <= 0.00055)) tmp = abs(fma(Float64(ew * sin(t)), Float64(Float64(ew * t) / eh), Float64(eh * cos(t)))); else tmp = abs(fma(Float64(ew * t), cos(atan(Float64(Float64(eh / ew) / t))), eh)); end return tmp end
code[eh_, ew_, t_] := If[Or[LessEqual[t, -330000.0], N[Not[LessEqual[t, 0.00055]], $MachinePrecision]], N[Abs[N[(N[(ew * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[(N[(ew * t), $MachinePrecision] / eh), $MachinePrecision] + N[(eh * N[Cos[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], N[Abs[N[(N[(ew * t), $MachinePrecision] * N[Cos[N[ArcTan[N[(N[(eh / ew), $MachinePrecision] / t), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] + eh), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;t \leq -330000 \lor \neg \left(t \leq 0.00055\right):\\
\;\;\;\;\left|\mathsf{fma}\left(ew \cdot \sin t, \frac{ew \cdot t}{eh}, eh \cdot \cos t\right)\right|\\
\mathbf{else}:\\
\;\;\;\;\left|\mathsf{fma}\left(ew \cdot t, \cos \tan^{-1} \left(\frac{\frac{eh}{ew}}{t}\right), eh\right)\right|\\
\end{array}
\end{array}
if t < -3.3e5 or 5.50000000000000033e-4 < t Initial program 99.6%
fma-def99.6%
associate-/l/99.6%
associate-*l*99.6%
associate-/l/99.6%
Simplified99.6%
associate-*r*99.6%
sin-atan71.0%
associate-*r/68.6%
*-commutative68.6%
hypot-1-def74.8%
*-commutative74.8%
Applied egg-rr74.8%
associate-/l/74.8%
associate-/r*74.8%
cos-atan74.8%
hypot-1-def74.8%
associate-/r*74.8%
Applied egg-rr74.8%
Taylor expanded in t around 0 16.8%
Taylor expanded in eh around inf 41.5%
if -3.3e5 < t < 5.50000000000000033e-4Initial program 100.0%
fma-def100.0%
associate-/l/100.0%
associate-*l*100.0%
associate-/l/100.0%
Simplified100.0%
associate-*r*100.0%
sin-atan45.4%
associate-*r/44.1%
*-commutative44.1%
hypot-1-def47.4%
*-commutative47.4%
Applied egg-rr47.4%
Taylor expanded in t around 0 100.0%
Taylor expanded in t around 0 100.0%
associate-/r*100.0%
Simplified100.0%
Taylor expanded in t around 0 98.8%
Final simplification67.5%
(FPCore (eh ew t) :precision binary64 (fabs (fma (* ew t) (cos (atan (/ (/ eh ew) t))) eh)))
double code(double eh, double ew, double t) {
return fabs(fma((ew * t), cos(atan(((eh / ew) / t))), eh));
}
function code(eh, ew, t) return abs(fma(Float64(ew * t), cos(atan(Float64(Float64(eh / ew) / t))), eh)) end
code[eh_, ew_, t_] := N[Abs[N[(N[(ew * t), $MachinePrecision] * N[Cos[N[ArcTan[N[(N[(eh / ew), $MachinePrecision] / t), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] + eh), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\mathsf{fma}\left(ew \cdot t, \cos \tan^{-1} \left(\frac{\frac{eh}{ew}}{t}\right), eh\right)\right|
\end{array}
Initial program 99.7%
fma-def99.8%
associate-/l/99.8%
associate-*l*99.8%
associate-/l/99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan59.4%
associate-*r/57.5%
*-commutative57.5%
hypot-1-def62.4%
*-commutative62.4%
Applied egg-rr62.4%
Taylor expanded in t around 0 76.5%
Taylor expanded in t around 0 76.5%
associate-/r*76.5%
Simplified76.5%
Taylor expanded in t around 0 50.8%
Final simplification50.8%
(FPCore (eh ew t) :precision binary64 (fabs (fma (* ew (sin t)) (/ (* ew t) eh) eh)))
double code(double eh, double ew, double t) {
return fabs(fma((ew * sin(t)), ((ew * t) / eh), eh));
}
function code(eh, ew, t) return abs(fma(Float64(ew * sin(t)), Float64(Float64(ew * t) / eh), eh)) end
code[eh_, ew_, t_] := N[Abs[N[(N[(ew * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[(N[(ew * t), $MachinePrecision] / eh), $MachinePrecision] + eh), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\mathsf{fma}\left(ew \cdot \sin t, \frac{ew \cdot t}{eh}, eh\right)\right|
\end{array}
Initial program 99.7%
fma-def99.8%
associate-/l/99.8%
associate-*l*99.8%
associate-/l/99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan59.4%
associate-*r/57.5%
*-commutative57.5%
hypot-1-def62.4%
*-commutative62.4%
Applied egg-rr62.4%
associate-/l/62.4%
associate-/r*62.4%
cos-atan62.4%
hypot-1-def62.4%
associate-/r*62.4%
Applied egg-rr62.4%
Taylor expanded in t around 0 19.3%
Taylor expanded in t around 0 40.3%
Final simplification40.3%
herbie shell --seed 2024024
(FPCore (eh ew t)
:name "Example from Robby"
:precision binary64
(fabs (+ (* (* ew (sin t)) (cos (atan (/ (/ eh ew) (tan t))))) (* (* eh (cos t)) (sin (atan (/ (/ eh ew) (tan t))))))))