
(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 12 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(ew, Float64(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[(ew * N[(N[Sin[t], $MachinePrecision] * N[Cos[t$95$1], $MachinePrecision]), $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, \sin t \cdot \cos t\_1, eh \cdot \left(\cos t \cdot \sin t\_1\right)\right)\right|
\end{array}
\end{array}
Initial program 99.8%
associate-*l*99.8%
fma-define99.8%
associate-/r*99.8%
associate-*l*99.8%
associate-/r*99.8%
Simplified99.8%
Final simplification99.8%
(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}
Initial program 99.8%
Final simplification99.8%
(FPCore (eh ew t)
:precision binary64
(let* ((t_1 (/ (/ eh ew) (tan t))))
(fabs
(+
(* (* eh (cos t)) (sin (atan t_1)))
(* (* ew (sin t)) (/ 1.0 (hypot 1.0 t_1)))))))
double code(double eh, double ew, double t) {
double t_1 = (eh / ew) / tan(t);
return fabs((((eh * cos(t)) * sin(atan(t_1))) + ((ew * sin(t)) * (1.0 / hypot(1.0, t_1)))));
}
public static double code(double eh, double ew, double t) {
double t_1 = (eh / ew) / Math.tan(t);
return Math.abs((((eh * Math.cos(t)) * Math.sin(Math.atan(t_1))) + ((ew * Math.sin(t)) * (1.0 / Math.hypot(1.0, t_1)))));
}
def code(eh, ew, t): t_1 = (eh / ew) / math.tan(t) return math.fabs((((eh * math.cos(t)) * math.sin(math.atan(t_1))) + ((ew * math.sin(t)) * (1.0 / math.hypot(1.0, t_1)))))
function code(eh, ew, t) t_1 = Float64(Float64(eh / ew) / tan(t)) return abs(Float64(Float64(Float64(eh * cos(t)) * sin(atan(t_1))) + Float64(Float64(ew * sin(t)) * Float64(1.0 / hypot(1.0, t_1))))) end
function tmp = code(eh, ew, t) t_1 = (eh / ew) / tan(t); tmp = abs((((eh * cos(t)) * sin(atan(t_1))) + ((ew * sin(t)) * (1.0 / hypot(1.0, 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[(eh * N[Cos[t], $MachinePrecision]), $MachinePrecision] * N[Sin[N[ArcTan[t$95$1], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(N[(ew * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Sqrt[1.0 ^ 2 + t$95$1 ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \frac{\frac{eh}{ew}}{\tan t}\\
\left|\left(eh \cdot \cos t\right) \cdot \sin \tan^{-1} t\_1 + \left(ew \cdot \sin t\right) \cdot \frac{1}{\mathsf{hypot}\left(1, t\_1\right)}\right|
\end{array}
\end{array}
Initial program 99.8%
associate-/r*99.8%
cos-atan99.8%
hypot-1-def99.8%
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 98.7%
Final simplification98.7%
(FPCore (eh ew t) :precision binary64 (fabs (fma ew (/ (sin t) (hypot 1.0 (/ (/ eh ew) (tan t)))) (* (cos t) (- eh)))))
double code(double eh, double ew, double t) {
return fabs(fma(ew, (sin(t) / hypot(1.0, ((eh / ew) / tan(t)))), (cos(t) * -eh)));
}
function code(eh, ew, t) return abs(fma(ew, Float64(sin(t) / hypot(1.0, Float64(Float64(eh / ew) / tan(t)))), Float64(cos(t) * Float64(-eh)))) end
code[eh_, ew_, t_] := N[Abs[N[(ew * N[(N[Sin[t], $MachinePrecision] / N[Sqrt[1.0 ^ 2 + N[(N[(eh / ew), $MachinePrecision] / N[Tan[t], $MachinePrecision]), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[t], $MachinePrecision] * (-eh)), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\mathsf{fma}\left(ew, \frac{\sin t}{\mathsf{hypot}\left(1, \frac{\frac{eh}{ew}}{\tan t}\right)}, \cos t \cdot \left(-eh\right)\right)\right|
\end{array}
Initial program 99.8%
associate-*l*99.8%
fma-define99.8%
associate-/r*99.8%
associate-*l*99.8%
associate-/r*99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan64.5%
associate-*r/62.4%
hypot-1-def70.3%
Applied egg-rr70.3%
associate-*l*70.3%
associate-/r*70.2%
associate-/r*72.6%
Simplified72.6%
Taylor expanded in eh around -inf 98.2%
associate-*r*98.2%
neg-mul-198.2%
Simplified98.2%
cos-atan98.2%
hypot-1-def98.2%
un-div-inv98.2%
associate-/r*98.2%
Applied egg-rr98.2%
Final simplification98.2%
(FPCore (eh ew t)
:precision binary64
(let* ((t_1 (cos (atan (/ eh (* ew t))))))
(if (or (<= ew -4.8e-139) (not (<= ew 7.5e-82)))
(fabs (fma ew (* (sin t) t_1) (- eh)))
(fabs (fma ew (* t t_1) (* (cos t) (- eh)))))))
double code(double eh, double ew, double t) {
double t_1 = cos(atan((eh / (ew * t))));
double tmp;
if ((ew <= -4.8e-139) || !(ew <= 7.5e-82)) {
tmp = fabs(fma(ew, (sin(t) * t_1), -eh));
} else {
tmp = fabs(fma(ew, (t * t_1), (cos(t) * -eh)));
}
return tmp;
}
function code(eh, ew, t) t_1 = cos(atan(Float64(eh / Float64(ew * t)))) tmp = 0.0 if ((ew <= -4.8e-139) || !(ew <= 7.5e-82)) tmp = abs(fma(ew, Float64(sin(t) * t_1), Float64(-eh))); else tmp = abs(fma(ew, Float64(t * t_1), Float64(cos(t) * Float64(-eh)))); end return tmp end
code[eh_, ew_, t_] := Block[{t$95$1 = N[Cos[N[ArcTan[N[(eh / N[(ew * t), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]}, If[Or[LessEqual[ew, -4.8e-139], N[Not[LessEqual[ew, 7.5e-82]], $MachinePrecision]], N[Abs[N[(ew * N[(N[Sin[t], $MachinePrecision] * t$95$1), $MachinePrecision] + (-eh)), $MachinePrecision]], $MachinePrecision], N[Abs[N[(ew * N[(t * t$95$1), $MachinePrecision] + N[(N[Cos[t], $MachinePrecision] * (-eh)), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \cos \tan^{-1} \left(\frac{eh}{ew \cdot t}\right)\\
\mathbf{if}\;ew \leq -4.8 \cdot 10^{-139} \lor \neg \left(ew \leq 7.5 \cdot 10^{-82}\right):\\
\;\;\;\;\left|\mathsf{fma}\left(ew, \sin t \cdot t\_1, -eh\right)\right|\\
\mathbf{else}:\\
\;\;\;\;\left|\mathsf{fma}\left(ew, t \cdot t\_1, \cos t \cdot \left(-eh\right)\right)\right|\\
\end{array}
\end{array}
if ew < -4.80000000000000029e-139 or 7.4999999999999997e-82 < ew Initial program 99.8%
associate-*l*99.8%
fma-define99.8%
associate-/r*99.8%
associate-*l*99.8%
associate-/r*99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan79.8%
associate-*r/76.9%
hypot-1-def79.6%
Applied egg-rr79.6%
associate-*l*79.6%
associate-/r*79.5%
associate-/r*79.6%
Simplified79.6%
Taylor expanded in eh around -inf 97.5%
associate-*r*97.5%
neg-mul-197.5%
Simplified97.5%
Taylor expanded in t around 0 97.4%
*-commutative84.8%
Simplified97.4%
Taylor expanded in t around 0 84.8%
mul-1-neg84.8%
Simplified84.8%
if -4.80000000000000029e-139 < ew < 7.4999999999999997e-82Initial program 99.8%
associate-*l*99.8%
fma-define99.8%
associate-/r*99.8%
associate-*l*99.8%
associate-/r*99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan30.7%
associate-*r/30.6%
hypot-1-def49.8%
Applied egg-rr49.8%
associate-*l*49.8%
associate-/r*49.7%
associate-/r*57.3%
Simplified57.3%
Taylor expanded in eh around -inf 99.8%
associate-*r*99.8%
neg-mul-199.8%
Simplified99.8%
Taylor expanded in t around 0 99.6%
*-commutative58.4%
Simplified99.6%
Taylor expanded in t around 0 76.5%
*-commutative76.5%
Simplified76.5%
Final simplification82.2%
(FPCore (eh ew t) :precision binary64 (fabs (fma ew (/ (sin t) (hypot 1.0 (/ eh (* ew t)))) (* (cos t) (- eh)))))
double code(double eh, double ew, double t) {
return fabs(fma(ew, (sin(t) / hypot(1.0, (eh / (ew * t)))), (cos(t) * -eh)));
}
function code(eh, ew, t) return abs(fma(ew, Float64(sin(t) / hypot(1.0, Float64(eh / Float64(ew * t)))), Float64(cos(t) * Float64(-eh)))) end
code[eh_, ew_, t_] := N[Abs[N[(ew * N[(N[Sin[t], $MachinePrecision] / N[Sqrt[1.0 ^ 2 + N[(eh / N[(ew * t), $MachinePrecision]), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision] + N[(N[Cos[t], $MachinePrecision] * (-eh)), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\mathsf{fma}\left(ew, \frac{\sin t}{\mathsf{hypot}\left(1, \frac{eh}{ew \cdot t}\right)}, \cos t \cdot \left(-eh\right)\right)\right|
\end{array}
Initial program 99.8%
associate-*l*99.8%
fma-define99.8%
associate-/r*99.8%
associate-*l*99.8%
associate-/r*99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan64.5%
associate-*r/62.4%
hypot-1-def70.3%
Applied egg-rr70.3%
associate-*l*70.3%
associate-/r*70.2%
associate-/r*72.6%
Simplified72.6%
Taylor expanded in eh around -inf 98.2%
associate-*r*98.2%
neg-mul-198.2%
Simplified98.2%
Taylor expanded in t around 0 98.1%
*-commutative76.6%
Simplified98.1%
cos-atan98.1%
un-div-inv98.1%
hypot-1-def98.1%
Applied egg-rr98.1%
Final simplification98.1%
(FPCore (eh ew t) :precision binary64 (fabs (fma ew (* (sin t) (cos (atan (/ eh (* ew t))))) (- eh))))
double code(double eh, double ew, double t) {
return fabs(fma(ew, (sin(t) * cos(atan((eh / (ew * t))))), -eh));
}
function code(eh, ew, t) return abs(fma(ew, Float64(sin(t) * cos(atan(Float64(eh / Float64(ew * t))))), Float64(-eh))) end
code[eh_, ew_, t_] := N[Abs[N[(ew * N[(N[Sin[t], $MachinePrecision] * N[Cos[N[ArcTan[N[(eh / N[(ew * t), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + (-eh)), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\mathsf{fma}\left(ew, \sin t \cdot \cos \tan^{-1} \left(\frac{eh}{ew \cdot t}\right), -eh\right)\right|
\end{array}
Initial program 99.8%
associate-*l*99.8%
fma-define99.8%
associate-/r*99.8%
associate-*l*99.8%
associate-/r*99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan64.5%
associate-*r/62.4%
hypot-1-def70.3%
Applied egg-rr70.3%
associate-*l*70.3%
associate-/r*70.2%
associate-/r*72.6%
Simplified72.6%
Taylor expanded in eh around -inf 98.2%
associate-*r*98.2%
neg-mul-198.2%
Simplified98.2%
Taylor expanded in t around 0 98.1%
*-commutative76.6%
Simplified98.1%
Taylor expanded in t around 0 76.6%
mul-1-neg76.6%
Simplified76.6%
Final simplification76.6%
(FPCore (eh ew t) :precision binary64 (fabs (fma ew (* (sin t) (cos (atan (/ eh (* ew t))))) eh)))
double code(double eh, double ew, double t) {
return fabs(fma(ew, (sin(t) * cos(atan((eh / (ew * t))))), eh));
}
function code(eh, ew, t) return abs(fma(ew, Float64(sin(t) * cos(atan(Float64(eh / Float64(ew * t))))), eh)) end
code[eh_, ew_, t_] := N[Abs[N[(ew * N[(N[Sin[t], $MachinePrecision] * N[Cos[N[ArcTan[N[(eh / N[(ew * t), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + eh), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\mathsf{fma}\left(ew, \sin t \cdot \cos \tan^{-1} \left(\frac{eh}{ew \cdot t}\right), eh\right)\right|
\end{array}
Initial program 99.8%
associate-*l*99.8%
fma-define99.8%
associate-/r*99.8%
associate-*l*99.8%
associate-/r*99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan64.5%
associate-*r/62.4%
hypot-1-def70.3%
Applied egg-rr70.3%
associate-*l*70.3%
associate-/r*70.2%
associate-/r*72.6%
Simplified72.6%
Taylor expanded in t around 0 76.6%
Taylor expanded in t around 0 76.6%
*-commutative76.6%
Simplified76.6%
Final simplification76.6%
(FPCore (eh ew t) :precision binary64 (fabs (+ eh (/ (* ew (sin t)) (hypot 1.0 (/ (/ eh ew) (tan t)))))))
double code(double eh, double ew, double t) {
return fabs((eh + ((ew * sin(t)) / hypot(1.0, ((eh / ew) / tan(t))))));
}
public static double code(double eh, double ew, double t) {
return Math.abs((eh + ((ew * Math.sin(t)) / Math.hypot(1.0, ((eh / ew) / Math.tan(t))))));
}
def code(eh, ew, t): return math.fabs((eh + ((ew * math.sin(t)) / math.hypot(1.0, ((eh / ew) / math.tan(t))))))
function code(eh, ew, t) return abs(Float64(eh + Float64(Float64(ew * sin(t)) / hypot(1.0, Float64(Float64(eh / ew) / tan(t)))))) end
function tmp = code(eh, ew, t) tmp = abs((eh + ((ew * sin(t)) / hypot(1.0, ((eh / ew) / tan(t)))))); end
code[eh_, ew_, t_] := N[Abs[N[(eh + N[(N[(ew * N[Sin[t], $MachinePrecision]), $MachinePrecision] / N[Sqrt[1.0 ^ 2 + N[(N[(eh / ew), $MachinePrecision] / N[Tan[t], $MachinePrecision]), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|eh + \frac{ew \cdot \sin t}{\mathsf{hypot}\left(1, \frac{\frac{eh}{ew}}{\tan t}\right)}\right|
\end{array}
Initial program 99.8%
associate-*l*99.8%
fma-define99.8%
associate-/r*99.8%
associate-*l*99.8%
associate-/r*99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan64.5%
associate-*r/62.4%
hypot-1-def70.3%
Applied egg-rr70.3%
associate-*l*70.3%
associate-/r*70.2%
associate-/r*72.6%
Simplified72.6%
Taylor expanded in t around 0 76.6%
add-log-exp64.4%
cos-atan64.4%
hypot-1-def64.4%
un-div-inv64.4%
associate-/r*64.4%
Applied egg-rr64.4%
fma-undefine64.4%
rem-log-exp76.6%
associate-*r/76.6%
Applied egg-rr76.6%
Final simplification76.6%
(FPCore (eh ew t) :precision binary64 (fabs (+ eh (* ew (sin t)))))
double code(double eh, double ew, double t) {
return fabs((eh + (ew * 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((eh + (ew * sin(t))))
end function
public static double code(double eh, double ew, double t) {
return Math.abs((eh + (ew * Math.sin(t))));
}
def code(eh, ew, t): return math.fabs((eh + (ew * math.sin(t))))
function code(eh, ew, t) return abs(Float64(eh + Float64(ew * sin(t)))) end
function tmp = code(eh, ew, t) tmp = abs((eh + (ew * sin(t)))); end
code[eh_, ew_, t_] := N[Abs[N[(eh + N[(ew * N[Sin[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|eh + ew \cdot \sin t\right|
\end{array}
Initial program 99.8%
associate-*l*99.8%
fma-define99.8%
associate-/r*99.8%
associate-*l*99.8%
associate-/r*99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan64.5%
associate-*r/62.4%
hypot-1-def70.3%
Applied egg-rr70.3%
associate-*l*70.3%
associate-/r*70.2%
associate-/r*72.6%
Simplified72.6%
Taylor expanded in t around 0 76.6%
add-log-exp64.4%
cos-atan64.4%
hypot-1-def64.4%
un-div-inv64.4%
associate-/r*64.4%
Applied egg-rr64.4%
Taylor expanded in ew around inf 76.3%
Final simplification76.3%
(FPCore (eh ew t) :precision binary64 (fabs (* ew (sin t))))
double code(double eh, double ew, double t) {
return fabs((ew * 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 * sin(t)))
end function
public static double code(double eh, double ew, double t) {
return Math.abs((ew * Math.sin(t)));
}
def code(eh, ew, t): return math.fabs((ew * math.sin(t)))
function code(eh, ew, t) return abs(Float64(ew * sin(t))) end
function tmp = code(eh, ew, t) tmp = abs((ew * sin(t))); end
code[eh_, ew_, t_] := N[Abs[N[(ew * N[Sin[t], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|ew \cdot \sin t\right|
\end{array}
Initial program 99.8%
associate-*l*99.8%
fma-define99.8%
associate-/r*99.8%
associate-*l*99.8%
associate-/r*99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan64.5%
associate-*r/62.4%
hypot-1-def70.3%
Applied egg-rr70.3%
associate-*l*70.3%
associate-/r*70.2%
associate-/r*72.6%
Simplified72.6%
Taylor expanded in t around 0 76.6%
add-log-exp64.4%
cos-atan64.4%
hypot-1-def64.4%
un-div-inv64.4%
associate-/r*64.4%
Applied egg-rr64.4%
Taylor expanded in ew around inf 43.0%
Final simplification43.0%
herbie shell --seed 2024043
(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))))))))