
(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 11 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 (/ (/ eh ew) (tan t))))
(fabs
(+
(* (* ew (sin t)) (/ 1.0 (hypot 1.0 t_1)))
(* (* eh (cos t)) (sin (atan t_1)))))))
double code(double eh, double ew, double t) {
double t_1 = (eh / ew) / tan(t);
return fabs((((ew * sin(t)) * (1.0 / hypot(1.0, t_1))) + ((eh * cos(t)) * sin(atan(t_1)))));
}
public static double code(double eh, double ew, double t) {
double t_1 = (eh / ew) / Math.tan(t);
return Math.abs((((ew * Math.sin(t)) * (1.0 / Math.hypot(1.0, t_1))) + ((eh * Math.cos(t)) * Math.sin(Math.atan(t_1)))));
}
def code(eh, ew, t): t_1 = (eh / ew) / math.tan(t) return math.fabs((((ew * math.sin(t)) * (1.0 / math.hypot(1.0, t_1))) + ((eh * math.cos(t)) * math.sin(math.atan(t_1)))))
function code(eh, ew, t) t_1 = Float64(Float64(eh / ew) / tan(t)) return abs(Float64(Float64(Float64(ew * sin(t)) * Float64(1.0 / hypot(1.0, t_1))) + Float64(Float64(eh * cos(t)) * sin(atan(t_1))))) end
function tmp = code(eh, ew, t) t_1 = (eh / ew) / tan(t); tmp = abs((((ew * sin(t)) * (1.0 / hypot(1.0, t_1))) + ((eh * cos(t)) * sin(atan(t_1))))); end
code[eh_, ew_, t_] := Block[{t$95$1 = N[(N[(eh / ew), $MachinePrecision] / N[Tan[t], $MachinePrecision]), $MachinePrecision]}, N[Abs[N[(N[(N[(ew * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Sqrt[1.0 ^ 2 + t$95$1 ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(eh * N[Cos[t], $MachinePrecision]), $MachinePrecision] * N[Sin[N[ArcTan[t$95$1], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \frac{\frac{eh}{ew}}{\tan t}\\
\left|\left(ew \cdot \sin t\right) \cdot \frac{1}{\mathsf{hypot}\left(1, t_1\right)} + \left(eh \cdot \cos t\right) \cdot \sin \tan^{-1} t_1\right|
\end{array}
\end{array}
Initial program 99.8%
associate-/l/99.8%
cos-atan99.8%
hypot-1-def99.8%
*-commutative99.8%
Applied egg-rr99.8%
associate-/r*99.8%
Simplified99.8%
Final simplification99.8%
(FPCore (eh ew t) :precision binary64 (fabs (+ (* (* eh (cos t)) (sin (atan (/ (/ eh ew) (tan t))))) (* (* ew (sin t)) (cos (atan (/ eh (* ew t))))))))
double code(double eh, double ew, double t) {
return fabs((((eh * cos(t)) * sin(atan(((eh / ew) / tan(t))))) + ((ew * sin(t)) * cos(atan((eh / (ew * 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((((eh * cos(t)) * sin(atan(((eh / ew) / tan(t))))) + ((ew * sin(t)) * cos(atan((eh / (ew * t)))))))
end function
public static double code(double eh, double ew, double t) {
return Math.abs((((eh * Math.cos(t)) * Math.sin(Math.atan(((eh / ew) / Math.tan(t))))) + ((ew * Math.sin(t)) * Math.cos(Math.atan((eh / (ew * t)))))));
}
def code(eh, ew, t): return math.fabs((((eh * math.cos(t)) * math.sin(math.atan(((eh / ew) / math.tan(t))))) + ((ew * math.sin(t)) * math.cos(math.atan((eh / (ew * t)))))))
function code(eh, ew, t) return abs(Float64(Float64(Float64(eh * cos(t)) * sin(atan(Float64(Float64(eh / ew) / tan(t))))) + Float64(Float64(ew * sin(t)) * cos(atan(Float64(eh / Float64(ew * t))))))) end
function tmp = code(eh, ew, t) tmp = abs((((eh * cos(t)) * sin(atan(((eh / ew) / tan(t))))) + ((ew * sin(t)) * cos(atan((eh / (ew * t))))))); end
code[eh_, ew_, t_] := N[Abs[N[(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] + N[(N[(ew * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Cos[N[ArcTan[N[(eh / N[(ew * t), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\left(eh \cdot \cos t\right) \cdot \sin \tan^{-1} \left(\frac{\frac{eh}{ew}}{\tan t}\right) + \left(ew \cdot \sin t\right) \cdot \cos \tan^{-1} \left(\frac{eh}{ew \cdot t}\right)\right|
\end{array}
Initial program 99.8%
Taylor expanded in t around 0 98.0%
Final simplification98.0%
(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 * 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 99.8%
fma-def99.8%
associate-/l/99.8%
associate-*l*99.8%
associate-/l/99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan62.1%
associate-*r/61.4%
*-commutative61.4%
hypot-1-def67.5%
*-commutative67.5%
Applied egg-rr67.5%
cos-atan67.4%
metadata-eval67.4%
associate-/l/67.4%
associate-/l/67.4%
hypot-udef67.5%
associate-/r*67.5%
frac-2neg67.5%
metadata-eval67.5%
frac-2neg67.5%
metadata-eval67.5%
Applied egg-rr67.5%
Taylor expanded in eh around -inf 97.5%
associate-*r*97.5%
neg-mul-197.5%
Simplified97.5%
metadata-eval97.5%
frac-2neg97.5%
div-inv97.5%
add-sqr-sqrt0.0%
sqrt-unprod97.4%
sqr-neg97.4%
sqrt-unprod97.4%
add-sqr-sqrt97.4%
*-commutative97.4%
Applied egg-rr97.4%
associate-*r/97.4%
metadata-eval97.4%
associate-/l/97.4%
Simplified97.4%
Final simplification97.4%
(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 99.8%
fma-def99.8%
associate-/l/99.8%
associate-*l*99.8%
associate-/l/99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan62.1%
associate-*r/61.4%
*-commutative61.4%
hypot-1-def67.5%
*-commutative67.5%
Applied egg-rr67.5%
cos-atan67.4%
metadata-eval67.4%
associate-/l/67.4%
associate-/l/67.4%
hypot-udef67.5%
associate-/r*67.5%
frac-2neg67.5%
metadata-eval67.5%
frac-2neg67.5%
metadata-eval67.5%
Applied egg-rr67.5%
Taylor expanded in eh around -inf 97.5%
associate-*r*97.5%
neg-mul-197.5%
Simplified97.5%
expm1-log1p-u97.5%
expm1-udef97.5%
remove-double-neg97.5%
*-commutative97.5%
Applied egg-rr97.5%
expm1-def97.5%
expm1-log1p97.5%
associate-/l/97.5%
Simplified97.5%
Final simplification97.5%
(FPCore (eh ew t) :precision binary64 (fabs (+ (* ew (sin t)) (* (* eh (cos t)) (sin (atan (/ (/ eh ew) (tan t))))))))
double code(double eh, double ew, double t) {
return fabs(((ew * sin(t)) + ((eh * cos(t)) * sin(atan(((eh / ew) / tan(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 * sin(t)) + ((eh * cos(t)) * sin(atan(((eh / ew) / tan(t)))))))
end function
public static double code(double eh, double ew, double t) {
return Math.abs(((ew * Math.sin(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)) + ((eh * math.cos(t)) * math.sin(math.atan(((eh / ew) / math.tan(t)))))))
function code(eh, ew, t) return abs(Float64(Float64(ew * sin(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)) + ((eh * cos(t)) * sin(atan(((eh / ew) / tan(t))))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(ew * N[Sin[t], $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|ew \cdot \sin t + \left(eh \cdot \cos t\right) \cdot \sin \tan^{-1} \left(\frac{\frac{eh}{ew}}{\tan t}\right)\right|
\end{array}
Initial program 99.8%
associate-/l/99.8%
cos-atan99.8%
hypot-1-def99.8%
*-commutative99.8%
Applied egg-rr99.8%
associate-/r*99.8%
Simplified99.8%
Taylor expanded in eh around 0 96.8%
Final simplification96.8%
(FPCore (eh ew t) :precision binary64 (fabs (fma (* ew (sin t)) (/ 1.0 (hypot 1.0 (/ (/ eh ew) 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) / 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) / 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] / t), $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}}{t}\right)}, eh \cdot \left(-\cos t\right)\right)\right|
\end{array}
Initial 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-atan62.1%
associate-*r/61.4%
*-commutative61.4%
hypot-1-def67.5%
*-commutative67.5%
Applied egg-rr67.5%
cos-atan67.4%
metadata-eval67.4%
associate-/l/67.4%
associate-/l/67.4%
hypot-udef67.5%
associate-/r*67.5%
frac-2neg67.5%
metadata-eval67.5%
frac-2neg67.5%
metadata-eval67.5%
Applied egg-rr67.5%
Taylor expanded in eh around -inf 97.5%
associate-*r*97.5%
neg-mul-197.5%
Simplified97.5%
Taylor expanded in t around 0 96.8%
associate-/r*96.8%
Simplified96.8%
Final simplification96.8%
(FPCore (eh ew t)
:precision binary64
(let* ((t_1 (* ew (sin t))))
(if (<= ew -1.25e-157)
(fabs (fma t_1 (/ 1.0 (hypot 1.0 (/ eh (* ew (tan t))))) eh))
(if (<= ew 1.75e-41)
(fabs (fma t_1 (/ (* ew t) eh) (* eh (- (cos t)))))
(fabs (fma t_1 (cos (atan (/ (/ eh ew) t))) eh))))))
double code(double eh, double ew, double t) {
double t_1 = ew * sin(t);
double tmp;
if (ew <= -1.25e-157) {
tmp = fabs(fma(t_1, (1.0 / hypot(1.0, (eh / (ew * tan(t))))), eh));
} else if (ew <= 1.75e-41) {
tmp = fabs(fma(t_1, ((ew * t) / eh), (eh * -cos(t))));
} else {
tmp = fabs(fma(t_1, cos(atan(((eh / ew) / t))), eh));
}
return tmp;
}
function code(eh, ew, t) t_1 = Float64(ew * sin(t)) tmp = 0.0 if (ew <= -1.25e-157) tmp = abs(fma(t_1, Float64(1.0 / hypot(1.0, Float64(eh / Float64(ew * tan(t))))), eh)); elseif (ew <= 1.75e-41) tmp = abs(fma(t_1, Float64(Float64(ew * t) / eh), Float64(eh * Float64(-cos(t))))); else tmp = abs(fma(t_1, cos(atan(Float64(Float64(eh / ew) / t))), eh)); end return tmp end
code[eh_, ew_, t_] := Block[{t$95$1 = N[(ew * N[Sin[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[ew, -1.25e-157], N[Abs[N[(t$95$1 * N[(1.0 / N[Sqrt[1.0 ^ 2 + N[(eh / N[(ew * N[Tan[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision] + eh), $MachinePrecision]], $MachinePrecision], If[LessEqual[ew, 1.75e-41], N[Abs[N[(t$95$1 * N[(N[(ew * t), $MachinePrecision] / eh), $MachinePrecision] + N[(eh * (-N[Cos[t], $MachinePrecision])), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], N[Abs[N[(t$95$1 * N[Cos[N[ArcTan[N[(N[(eh / ew), $MachinePrecision] / t), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] + eh), $MachinePrecision]], $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := ew \cdot \sin t\\
\mathbf{if}\;ew \leq -1.25 \cdot 10^{-157}:\\
\;\;\;\;\left|\mathsf{fma}\left(t_1, \frac{1}{\mathsf{hypot}\left(1, \frac{eh}{ew \cdot \tan t}\right)}, eh\right)\right|\\
\mathbf{elif}\;ew \leq 1.75 \cdot 10^{-41}:\\
\;\;\;\;\left|\mathsf{fma}\left(t_1, \frac{ew \cdot t}{eh}, eh \cdot \left(-\cos t\right)\right)\right|\\
\mathbf{else}:\\
\;\;\;\;\left|\mathsf{fma}\left(t_1, \cos \tan^{-1} \left(\frac{\frac{eh}{ew}}{t}\right), eh\right)\right|\\
\end{array}
\end{array}
if ew < -1.25000000000000005e-157Initial 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-atan78.8%
associate-*r/77.6%
*-commutative77.6%
hypot-1-def81.1%
*-commutative81.1%
Applied egg-rr81.1%
Taylor expanded in t around 0 82.0%
cos-atan81.1%
metadata-eval81.1%
associate-/l/81.1%
associate-/l/81.1%
hypot-udef81.1%
associate-/r*81.1%
frac-2neg81.1%
metadata-eval81.1%
frac-2neg81.1%
metadata-eval81.1%
Applied egg-rr82.0%
if -1.25000000000000005e-157 < ew < 1.75e-41Initial 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-atan29.3%
associate-*r/28.8%
*-commutative28.8%
hypot-1-def39.2%
*-commutative39.2%
Applied egg-rr39.2%
cos-atan39.2%
metadata-eval39.2%
associate-/l/39.2%
associate-/l/39.2%
hypot-udef39.2%
associate-/r*39.2%
frac-2neg39.2%
metadata-eval39.2%
frac-2neg39.2%
metadata-eval39.2%
Applied egg-rr39.2%
Taylor expanded in eh around -inf 98.6%
associate-*r*98.6%
neg-mul-198.6%
Simplified98.6%
Taylor expanded in t around 0 87.6%
if 1.75e-41 < ew Initial program 99.9%
fma-def99.9%
associate-/l/99.9%
associate-*l*99.9%
associate-/l/99.9%
Simplified99.9%
associate-*r*99.9%
sin-atan87.7%
associate-*r/87.4%
*-commutative87.4%
hypot-1-def90.7%
*-commutative90.7%
Applied egg-rr90.7%
Taylor expanded in t around 0 84.3%
Taylor expanded in t around 0 84.3%
associate-/r*84.3%
Simplified84.3%
Final simplification84.7%
(FPCore (eh ew t)
:precision binary64
(let* ((t_1 (* ew (sin t))))
(if (or (<= ew -3.35e-158) (not (<= ew 4.8e-40)))
(fabs (fma t_1 (cos (atan (/ (/ 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 <= -3.35e-158) || !(ew <= 4.8e-40)) {
tmp = fabs(fma(t_1, cos(atan(((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 <= -3.35e-158) || !(ew <= 4.8e-40)) tmp = abs(fma(t_1, cos(atan(Float64(Float64(eh / ew) / t))), eh)); else tmp = abs(fma(t_1, Float64(Float64(ew * t) / eh), Float64(eh * Float64(-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, -3.35e-158], N[Not[LessEqual[ew, 4.8e-40]], $MachinePrecision]], N[Abs[N[(t$95$1 * N[Cos[N[ArcTan[N[(N[(eh / ew), $MachinePrecision] / t), $MachinePrecision]], $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 -3.35 \cdot 10^{-158} \lor \neg \left(ew \leq 4.8 \cdot 10^{-40}\right):\\
\;\;\;\;\left|\mathsf{fma}\left(t_1, \cos \tan^{-1} \left(\frac{\frac{eh}{ew}}{t}\right), eh\right)\right|\\
\mathbf{else}:\\
\;\;\;\;\left|\mathsf{fma}\left(t_1, \frac{ew \cdot t}{eh}, eh \cdot \left(-\cos t\right)\right)\right|\\
\end{array}
\end{array}
if ew < -3.35e-158 or 4.79999999999999982e-40 < ew Initial 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-atan82.4%
associate-*r/81.6%
*-commutative81.6%
hypot-1-def85.0%
*-commutative85.0%
Applied egg-rr85.0%
Taylor expanded in t around 0 82.9%
Taylor expanded in t around 0 82.9%
associate-/r*82.9%
Simplified82.9%
if -3.35e-158 < ew < 4.79999999999999982e-40Initial 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-atan29.3%
associate-*r/28.8%
*-commutative28.8%
hypot-1-def39.2%
*-commutative39.2%
Applied egg-rr39.2%
cos-atan39.2%
metadata-eval39.2%
associate-/l/39.2%
associate-/l/39.2%
hypot-udef39.2%
associate-/r*39.2%
frac-2neg39.2%
metadata-eval39.2%
frac-2neg39.2%
metadata-eval39.2%
Applied egg-rr39.2%
Taylor expanded in eh around -inf 98.6%
associate-*r*98.6%
neg-mul-198.6%
Simplified98.6%
Taylor expanded in t around 0 87.6%
Final simplification84.7%
(FPCore (eh ew t) :precision binary64 (if (or (<= t -6e-6) (not (<= t 0.001))) (fabs (fma (* ew (sin t)) (/ (* ew t) eh) (* eh (- (cos t))))) (fabs (+ eh (/ (* ew t) (hypot 1.0 (/ eh (* ew (tan t)))))))))
double code(double eh, double ew, double t) {
double tmp;
if ((t <= -6e-6) || !(t <= 0.001)) {
tmp = fabs(fma((ew * sin(t)), ((ew * t) / eh), (eh * -cos(t))));
} else {
tmp = fabs((eh + ((ew * t) / hypot(1.0, (eh / (ew * tan(t)))))));
}
return tmp;
}
function code(eh, ew, t) tmp = 0.0 if ((t <= -6e-6) || !(t <= 0.001)) tmp = abs(fma(Float64(ew * sin(t)), Float64(Float64(ew * t) / eh), Float64(eh * Float64(-cos(t))))); else tmp = abs(Float64(eh + Float64(Float64(ew * t) / hypot(1.0, Float64(eh / Float64(ew * tan(t))))))); end return tmp end
code[eh_, ew_, t_] := If[Or[LessEqual[t, -6e-6], N[Not[LessEqual[t, 0.001]], $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[(eh + N[(N[(ew * t), $MachinePrecision] / N[Sqrt[1.0 ^ 2 + N[(eh / N[(ew * N[Tan[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;t \leq -6 \cdot 10^{-6} \lor \neg \left(t \leq 0.001\right):\\
\;\;\;\;\left|\mathsf{fma}\left(ew \cdot \sin t, \frac{ew \cdot t}{eh}, eh \cdot \left(-\cos t\right)\right)\right|\\
\mathbf{else}:\\
\;\;\;\;\left|eh + \frac{ew \cdot t}{\mathsf{hypot}\left(1, \frac{eh}{ew \cdot \tan t}\right)}\right|\\
\end{array}
\end{array}
if t < -6.0000000000000002e-6 or 1e-3 < 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-atan72.5%
associate-*r/71.4%
*-commutative71.4%
hypot-1-def77.1%
*-commutative77.1%
Applied egg-rr77.1%
cos-atan77.1%
metadata-eval77.1%
associate-/l/77.1%
associate-/l/77.1%
hypot-udef77.1%
associate-/r*77.1%
frac-2neg77.1%
metadata-eval77.1%
frac-2neg77.1%
metadata-eval77.1%
Applied egg-rr77.1%
Taylor expanded in eh around -inf 96.8%
associate-*r*96.8%
neg-mul-196.8%
Simplified96.8%
Taylor expanded in t around 0 42.6%
if -6.0000000000000002e-6 < t < 1e-3Initial 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-atan50.8%
associate-*r/50.6%
*-commutative50.6%
hypot-1-def57.0%
*-commutative57.0%
Applied egg-rr57.0%
Taylor expanded in t around 0 98.1%
Taylor expanded in t around 0 98.1%
fma-udef98.1%
cos-atan98.1%
hypot-1-def98.1%
*-commutative98.1%
un-div-inv98.1%
Applied egg-rr98.1%
Final simplification69.3%
(FPCore (eh ew t) :precision binary64 (fabs (+ eh (/ (* ew t) (hypot 1.0 (/ eh (* ew (tan t))))))))
double code(double eh, double ew, double t) {
return fabs((eh + ((ew * t) / hypot(1.0, (eh / (ew * tan(t)))))));
}
public static double code(double eh, double ew, double t) {
return Math.abs((eh + ((ew * t) / Math.hypot(1.0, (eh / (ew * Math.tan(t)))))));
}
def code(eh, ew, t): return math.fabs((eh + ((ew * t) / math.hypot(1.0, (eh / (ew * math.tan(t)))))))
function code(eh, ew, t) return abs(Float64(eh + Float64(Float64(ew * t) / hypot(1.0, Float64(eh / Float64(ew * tan(t))))))) end
function tmp = code(eh, ew, t) tmp = abs((eh + ((ew * t) / hypot(1.0, (eh / (ew * tan(t))))))); end
code[eh_, ew_, t_] := N[Abs[N[(eh + N[(N[(ew * t), $MachinePrecision] / N[Sqrt[1.0 ^ 2 + N[(eh / N[(ew * N[Tan[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|eh + \frac{ew \cdot t}{\mathsf{hypot}\left(1, \frac{eh}{ew \cdot \tan t}\right)}\right|
\end{array}
Initial 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-atan62.1%
associate-*r/61.4%
*-commutative61.4%
hypot-1-def67.5%
*-commutative67.5%
Applied egg-rr67.5%
Taylor expanded in t around 0 75.2%
Taylor expanded in t around 0 53.0%
fma-udef53.0%
cos-atan53.5%
hypot-1-def53.5%
*-commutative53.5%
un-div-inv53.5%
Applied egg-rr53.5%
Final simplification53.5%
(FPCore (eh ew t) :precision binary64 (fabs eh))
double code(double eh, double ew, double t) {
return fabs(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(eh)
end function
public static double code(double eh, double ew, double t) {
return Math.abs(eh);
}
def code(eh, ew, t): return math.fabs(eh)
function code(eh, ew, t) return abs(eh) end
function tmp = code(eh, ew, t) tmp = abs(eh); end
code[eh_, ew_, t_] := N[Abs[eh], $MachinePrecision]
\begin{array}{l}
\\
\left|eh\right|
\end{array}
Initial 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-atan62.1%
associate-*r/61.4%
*-commutative61.4%
hypot-1-def67.5%
*-commutative67.5%
Applied egg-rr67.5%
Taylor expanded in t around 0 75.2%
Taylor expanded in t around 0 53.0%
Taylor expanded in ew around 0 42.2%
Final simplification42.2%
herbie shell --seed 2023338
(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))))))))