
(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 (fabs (+ (* (/ 1.0 (hypot 1.0 (/ (/ eh (tan t)) ew))) (* ew (sin t))) (* (* eh (cos t)) (sin (atan (/ (/ eh ew) (tan t))))))))
double code(double eh, double ew, double t) {
return fabs((((1.0 / hypot(1.0, ((eh / tan(t)) / ew))) * (ew * sin(t))) + ((eh * cos(t)) * sin(atan(((eh / ew) / tan(t)))))));
}
public static double code(double eh, double ew, double t) {
return Math.abs((((1.0 / Math.hypot(1.0, ((eh / Math.tan(t)) / ew))) * (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((((1.0 / math.hypot(1.0, ((eh / math.tan(t)) / ew))) * (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(Float64(1.0 / hypot(1.0, Float64(Float64(eh / tan(t)) / ew))) * 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((((1.0 / hypot(1.0, ((eh / tan(t)) / ew))) * (ew * sin(t))) + ((eh * cos(t)) * sin(atan(((eh / ew) / tan(t))))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(N[(1.0 / N[Sqrt[1.0 ^ 2 + N[(N[(eh / N[Tan[t], $MachinePrecision]), $MachinePrecision] / ew), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision] * N[(ew * N[Sin[t], $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|\frac{1}{\mathsf{hypot}\left(1, \frac{\frac{eh}{\tan t}}{ew}\right)} \cdot \left(ew \cdot \sin 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 99.8%
cos-atan99.8%
hypot-1-def99.8%
associate-/r*99.8%
Applied egg-rr99.8%
associate-/l/99.8%
Simplified99.8%
Final simplification99.8%
(FPCore (eh ew t) :precision binary64 (fabs (+ (* (* eh (cos t)) (sin (atan (/ (/ eh ew) (tan t))))) (* (cos (atan (/ (/ eh t) ew))) (* ew (sin t))))))
double code(double eh, double ew, double t) {
return fabs((((eh * cos(t)) * sin(atan(((eh / ew) / tan(t))))) + (cos(atan(((eh / t) / ew))) * (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 * cos(t)) * sin(atan(((eh / ew) / tan(t))))) + (cos(atan(((eh / t) / ew))) * (ew * sin(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))))) + (Math.cos(Math.atan(((eh / t) / ew))) * (ew * Math.sin(t)))));
}
def code(eh, ew, t): return math.fabs((((eh * math.cos(t)) * math.sin(math.atan(((eh / ew) / math.tan(t))))) + (math.cos(math.atan(((eh / t) / ew))) * (ew * math.sin(t)))))
function code(eh, ew, t) return abs(Float64(Float64(Float64(eh * cos(t)) * sin(atan(Float64(Float64(eh / ew) / tan(t))))) + Float64(cos(atan(Float64(Float64(eh / t) / ew))) * Float64(ew * sin(t))))) end
function tmp = code(eh, ew, t) tmp = abs((((eh * cos(t)) * sin(atan(((eh / ew) / tan(t))))) + (cos(atan(((eh / t) / ew))) * (ew * sin(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[Cos[N[ArcTan[N[(N[(eh / t), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(ew * N[Sin[t], $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) + \cos \tan^{-1} \left(\frac{\frac{eh}{t}}{ew}\right) \cdot \left(ew \cdot \sin t\right)\right|
\end{array}
Initial program 99.8%
Taylor expanded in t around 0 99.5%
associate-/r*88.8%
Simplified99.5%
Final simplification99.5%
(FPCore (eh ew t) :precision binary64 (fabs (+ (* (* eh (cos t)) (sin (atan (/ (/ eh ew) (tan t))))) (* ew (sin t)))))
double code(double eh, double ew, double t) {
return fabs((((eh * cos(t)) * sin(atan(((eh / ew) / tan(t))))) + (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 * cos(t)) * sin(atan(((eh / ew) / tan(t))))) + (ew * sin(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))));
}
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))))
function code(eh, ew, t) return abs(Float64(Float64(Float64(eh * cos(t)) * sin(atan(Float64(Float64(eh / ew) / tan(t))))) + Float64(ew * sin(t)))) end
function tmp = code(eh, ew, t) tmp = abs((((eh * cos(t)) * sin(atan(((eh / ew) / tan(t))))) + (ew * sin(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[(ew * N[Sin[t], $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) + ew \cdot \sin t\right|
\end{array}
Initial program 99.8%
cos-atan99.8%
hypot-1-def99.8%
associate-/r*99.8%
Applied egg-rr99.8%
associate-/l/99.8%
Simplified99.8%
Taylor expanded in eh around 0 99.3%
Final simplification99.3%
(FPCore (eh ew t)
:precision binary64
(let* ((t_1 (* eh (cos t))) (t_2 (* ew (sin t))))
(if (or (<= t -2.4e+118) (not (<= t 1.25e+169)))
(fabs
(+
t_2
(*
t_1
(sin
(atan (+ (* -0.3333333333333333 (/ (* t eh) ew)) (/ eh (* ew t))))))))
(fabs (+ t_2 (* t_1 (sin (atan (/ (/ eh t) ew)))))))))
double code(double eh, double ew, double t) {
double t_1 = eh * cos(t);
double t_2 = ew * sin(t);
double tmp;
if ((t <= -2.4e+118) || !(t <= 1.25e+169)) {
tmp = fabs((t_2 + (t_1 * sin(atan(((-0.3333333333333333 * ((t * eh) / ew)) + (eh / (ew * t))))))));
} else {
tmp = fabs((t_2 + (t_1 * sin(atan(((eh / t) / ew))))));
}
return tmp;
}
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
real(8) :: t_2
real(8) :: tmp
t_1 = eh * cos(t)
t_2 = ew * sin(t)
if ((t <= (-2.4d+118)) .or. (.not. (t <= 1.25d+169))) then
tmp = abs((t_2 + (t_1 * sin(atan((((-0.3333333333333333d0) * ((t * eh) / ew)) + (eh / (ew * t))))))))
else
tmp = abs((t_2 + (t_1 * sin(atan(((eh / t) / ew))))))
end if
code = tmp
end function
public static double code(double eh, double ew, double t) {
double t_1 = eh * Math.cos(t);
double t_2 = ew * Math.sin(t);
double tmp;
if ((t <= -2.4e+118) || !(t <= 1.25e+169)) {
tmp = Math.abs((t_2 + (t_1 * Math.sin(Math.atan(((-0.3333333333333333 * ((t * eh) / ew)) + (eh / (ew * t))))))));
} else {
tmp = Math.abs((t_2 + (t_1 * Math.sin(Math.atan(((eh / t) / ew))))));
}
return tmp;
}
def code(eh, ew, t): t_1 = eh * math.cos(t) t_2 = ew * math.sin(t) tmp = 0 if (t <= -2.4e+118) or not (t <= 1.25e+169): tmp = math.fabs((t_2 + (t_1 * math.sin(math.atan(((-0.3333333333333333 * ((t * eh) / ew)) + (eh / (ew * t)))))))) else: tmp = math.fabs((t_2 + (t_1 * math.sin(math.atan(((eh / t) / ew)))))) return tmp
function code(eh, ew, t) t_1 = Float64(eh * cos(t)) t_2 = Float64(ew * sin(t)) tmp = 0.0 if ((t <= -2.4e+118) || !(t <= 1.25e+169)) tmp = abs(Float64(t_2 + Float64(t_1 * sin(atan(Float64(Float64(-0.3333333333333333 * Float64(Float64(t * eh) / ew)) + Float64(eh / Float64(ew * t)))))))); else tmp = abs(Float64(t_2 + Float64(t_1 * sin(atan(Float64(Float64(eh / t) / ew)))))); end return tmp end
function tmp_2 = code(eh, ew, t) t_1 = eh * cos(t); t_2 = ew * sin(t); tmp = 0.0; if ((t <= -2.4e+118) || ~((t <= 1.25e+169))) tmp = abs((t_2 + (t_1 * sin(atan(((-0.3333333333333333 * ((t * eh) / ew)) + (eh / (ew * t)))))))); else tmp = abs((t_2 + (t_1 * sin(atan(((eh / t) / ew)))))); end tmp_2 = tmp; end
code[eh_, ew_, t_] := Block[{t$95$1 = N[(eh * N[Cos[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(ew * N[Sin[t], $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[t, -2.4e+118], N[Not[LessEqual[t, 1.25e+169]], $MachinePrecision]], N[Abs[N[(t$95$2 + N[(t$95$1 * N[Sin[N[ArcTan[N[(N[(-0.3333333333333333 * N[(N[(t * eh), $MachinePrecision] / ew), $MachinePrecision]), $MachinePrecision] + N[(eh / N[(ew * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], N[Abs[N[(t$95$2 + N[(t$95$1 * N[Sin[N[ArcTan[N[(N[(eh / t), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := eh \cdot \cos t\\
t_2 := ew \cdot \sin t\\
\mathbf{if}\;t \leq -2.4 \cdot 10^{+118} \lor \neg \left(t \leq 1.25 \cdot 10^{+169}\right):\\
\;\;\;\;\left|t_2 + t_1 \cdot \sin \tan^{-1} \left(-0.3333333333333333 \cdot \frac{t \cdot eh}{ew} + \frac{eh}{ew \cdot t}\right)\right|\\
\mathbf{else}:\\
\;\;\;\;\left|t_2 + t_1 \cdot \sin \tan^{-1} \left(\frac{\frac{eh}{t}}{ew}\right)\right|\\
\end{array}
\end{array}
if t < -2.4e118 or 1.25000000000000004e169 < t Initial program 99.6%
cos-atan99.6%
hypot-1-def99.6%
associate-/r*99.6%
Applied egg-rr99.6%
associate-/l/99.6%
Simplified99.6%
Taylor expanded in eh around 0 99.5%
Taylor expanded in t around 0 95.3%
if -2.4e118 < t < 1.25000000000000004e169Initial program 99.9%
cos-atan99.9%
hypot-1-def99.9%
associate-/r*99.9%
Applied egg-rr99.9%
associate-/l/99.9%
Simplified99.9%
Taylor expanded in eh around 0 99.3%
Taylor expanded in t around 0 98.7%
associate-/r*98.7%
Simplified98.7%
Final simplification97.7%
(FPCore (eh ew t) :precision binary64 (fabs (+ (* ew (sin t)) (* (* eh (cos t)) (sin (atan (/ (/ eh t) ew)))))))
double code(double eh, double ew, double t) {
return fabs(((ew * sin(t)) + ((eh * cos(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 * sin(t)) + ((eh * cos(t)) * sin(atan(((eh / t) / ew))))))
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 / t) / ew))))));
}
def code(eh, ew, t): return math.fabs(((ew * math.sin(t)) + ((eh * math.cos(t)) * math.sin(math.atan(((eh / t) / ew))))))
function code(eh, ew, t) return abs(Float64(Float64(ew * sin(t)) + Float64(Float64(eh * cos(t)) * sin(atan(Float64(Float64(eh / t) / ew)))))) end
function tmp = code(eh, ew, t) tmp = abs(((ew * sin(t)) + ((eh * cos(t)) * sin(atan(((eh / t) / ew)))))); 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 / t), $MachinePrecision] / ew), $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}{t}}{ew}\right)\right|
\end{array}
Initial program 99.8%
cos-atan99.8%
hypot-1-def99.8%
associate-/r*99.8%
Applied egg-rr99.8%
associate-/l/99.8%
Simplified99.8%
Taylor expanded in eh around 0 99.3%
Taylor expanded in t around 0 88.8%
associate-/r*88.8%
Simplified88.8%
Final simplification88.8%
(FPCore (eh ew t) :precision binary64 (fabs (+ (* ew (sin t)) (* eh (sin (atan (/ eh (* ew (tan t)))))))))
double code(double eh, double ew, double t) {
return fabs(((ew * sin(t)) + (eh * 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 * 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.sin(Math.atan((eh / (ew * Math.tan(t))))))));
}
def code(eh, ew, t): return math.fabs(((ew * math.sin(t)) + (eh * math.sin(math.atan((eh / (ew * math.tan(t))))))))
function code(eh, ew, t) return abs(Float64(Float64(ew * sin(t)) + Float64(eh * sin(atan(Float64(eh / Float64(ew * tan(t)))))))) end
function tmp = code(eh, ew, t) tmp = abs(((ew * sin(t)) + (eh * sin(atan((eh / (ew * tan(t)))))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(ew * N[Sin[t], $MachinePrecision]), $MachinePrecision] + N[(eh * N[Sin[N[ArcTan[N[(eh / N[(ew * N[Tan[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|ew \cdot \sin t + eh \cdot \sin \tan^{-1} \left(\frac{eh}{ew \cdot \tan t}\right)\right|
\end{array}
Initial program 99.8%
cos-atan99.8%
hypot-1-def99.8%
associate-/r*99.8%
Applied egg-rr99.8%
associate-/l/99.8%
Simplified99.8%
Taylor expanded in eh around 0 99.3%
Taylor expanded in t around 0 77.7%
Final simplification77.7%
(FPCore (eh ew t) :precision binary64 (fabs (fma ew (/ (sin t) (hypot 1.0 (/ (/ eh ew) (tan t)))) eh)))
double code(double eh, double ew, double t) {
return fabs(fma(ew, (sin(t) / hypot(1.0, ((eh / ew) / tan(t)))), eh));
}
function code(eh, ew, t) return abs(fma(ew, Float64(sin(t) / hypot(1.0, Float64(Float64(eh / ew) / tan(t)))), 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] + eh), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\mathsf{fma}\left(ew, \frac{\sin t}{\mathsf{hypot}\left(1, \frac{\frac{eh}{ew}}{\tan t}\right)}, eh\right)\right|
\end{array}
Initial program 99.8%
associate-*l*99.8%
fma-def99.8%
associate-/l/99.8%
associate-/r*99.8%
*-commutative99.8%
associate-*l*99.8%
associate-/l/99.8%
associate-/r*99.8%
Simplified99.8%
associate-*r*99.8%
*-commutative99.8%
sin-atan56.5%
associate-*r/52.2%
associate-/l/51.2%
hypot-1-def59.1%
associate-/l/59.4%
Applied egg-rr59.4%
Taylor expanded in t around 0 77.0%
add-cube-cbrt76.2%
pow376.2%
associate-/l/76.2%
associate-/r*76.2%
Applied egg-rr76.2%
rem-cube-cbrt77.0%
expm1-log1p-u76.9%
expm1-udef61.6%
cos-atan61.6%
un-div-inv61.6%
hypot-1-def61.6%
Applied egg-rr61.6%
expm1-def76.9%
expm1-log1p77.0%
Simplified77.0%
Final simplification77.0%
(FPCore (eh ew t) :precision binary64 (fabs (fma ew (* (sin t) (cos (atan (/ (/ eh t) ew)))) eh)))
double code(double eh, double ew, double t) {
return fabs(fma(ew, (sin(t) * cos(atan(((eh / t) / ew)))), eh));
}
function code(eh, ew, t) return abs(fma(ew, Float64(sin(t) * cos(atan(Float64(Float64(eh / t) / ew)))), eh)) end
code[eh_, ew_, t_] := N[Abs[N[(ew * N[(N[Sin[t], $MachinePrecision] * N[Cos[N[ArcTan[N[(N[(eh / t), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + eh), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\mathsf{fma}\left(ew, \sin t \cdot \cos \tan^{-1} \left(\frac{\frac{eh}{t}}{ew}\right), eh\right)\right|
\end{array}
Initial program 99.8%
associate-*l*99.8%
fma-def99.8%
associate-/l/99.8%
associate-/r*99.8%
*-commutative99.8%
associate-*l*99.8%
associate-/l/99.8%
associate-/r*99.8%
Simplified99.8%
associate-*r*99.8%
*-commutative99.8%
sin-atan56.5%
associate-*r/52.2%
associate-/l/51.2%
hypot-1-def59.1%
associate-/l/59.4%
Applied egg-rr59.4%
Taylor expanded in t around 0 77.0%
Taylor expanded in t around 0 76.9%
Final simplification76.9%
(FPCore (eh ew t)
:precision binary64
(if (<= t -1.35e+154)
(fabs eh)
(fabs
(+
(* ew (sin t))
(* (+ 1.0 (* -0.5 (* t t))) (* eh (sin (atan (/ eh (* ew t))))))))))
double code(double eh, double ew, double t) {
double tmp;
if (t <= -1.35e+154) {
tmp = fabs(eh);
} else {
tmp = fabs(((ew * sin(t)) + ((1.0 + (-0.5 * (t * t))) * (eh * sin(atan((eh / (ew * t))))))));
}
return tmp;
}
real(8) function code(eh, ew, t)
real(8), intent (in) :: eh
real(8), intent (in) :: ew
real(8), intent (in) :: t
real(8) :: tmp
if (t <= (-1.35d+154)) then
tmp = abs(eh)
else
tmp = abs(((ew * sin(t)) + ((1.0d0 + ((-0.5d0) * (t * t))) * (eh * sin(atan((eh / (ew * t))))))))
end if
code = tmp
end function
public static double code(double eh, double ew, double t) {
double tmp;
if (t <= -1.35e+154) {
tmp = Math.abs(eh);
} else {
tmp = Math.abs(((ew * Math.sin(t)) + ((1.0 + (-0.5 * (t * t))) * (eh * Math.sin(Math.atan((eh / (ew * t))))))));
}
return tmp;
}
def code(eh, ew, t): tmp = 0 if t <= -1.35e+154: tmp = math.fabs(eh) else: tmp = math.fabs(((ew * math.sin(t)) + ((1.0 + (-0.5 * (t * t))) * (eh * math.sin(math.atan((eh / (ew * t)))))))) return tmp
function code(eh, ew, t) tmp = 0.0 if (t <= -1.35e+154) tmp = abs(eh); else tmp = abs(Float64(Float64(ew * sin(t)) + Float64(Float64(1.0 + Float64(-0.5 * Float64(t * t))) * Float64(eh * sin(atan(Float64(eh / Float64(ew * t)))))))); end return tmp end
function tmp_2 = code(eh, ew, t) tmp = 0.0; if (t <= -1.35e+154) tmp = abs(eh); else tmp = abs(((ew * sin(t)) + ((1.0 + (-0.5 * (t * t))) * (eh * sin(atan((eh / (ew * t)))))))); end tmp_2 = tmp; end
code[eh_, ew_, t_] := If[LessEqual[t, -1.35e+154], N[Abs[eh], $MachinePrecision], N[Abs[N[(N[(ew * N[Sin[t], $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 + N[(-0.5 * N[(t * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(eh * N[Sin[N[ArcTan[N[(eh / N[(ew * t), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;t \leq -1.35 \cdot 10^{+154}:\\
\;\;\;\;\left|eh\right|\\
\mathbf{else}:\\
\;\;\;\;\left|ew \cdot \sin t + \left(1 + -0.5 \cdot \left(t \cdot t\right)\right) \cdot \left(eh \cdot \sin \tan^{-1} \left(\frac{eh}{ew \cdot t}\right)\right)\right|\\
\end{array}
\end{array}
if t < -1.35000000000000003e154Initial program 99.6%
associate-*l*99.6%
fma-def99.6%
associate-/l/99.6%
associate-/r*99.6%
*-commutative99.6%
associate-*l*99.6%
associate-/l/99.6%
associate-/r*99.6%
Simplified99.6%
associate-*r*99.6%
*-commutative99.6%
sin-atan66.2%
associate-*r/57.4%
associate-/l/57.4%
hypot-1-def62.5%
associate-/l/62.6%
Applied egg-rr62.6%
Taylor expanded in t around 0 51.6%
Taylor expanded in t around 0 11.0%
associate-/l/11.0%
Simplified11.0%
Taylor expanded in ew around 0 15.2%
if -1.35000000000000003e154 < t Initial program 99.8%
cos-atan99.8%
hypot-1-def99.8%
associate-/r*99.8%
Applied egg-rr99.8%
associate-/l/99.8%
Simplified99.8%
Taylor expanded in eh around 0 99.3%
Taylor expanded in t around 0 74.2%
associate-*r*74.2%
distribute-rgt1-in74.2%
unpow274.2%
*-commutative74.2%
associate-/l/74.2%
Simplified74.2%
Taylor expanded in t around 0 75.2%
Final simplification64.9%
(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(ew * Float64(t / hypot(1.0, Float64(Float64(eh / 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[(ew * N[(t / N[Sqrt[1.0 ^ 2 + N[(N[(eh / ew), $MachinePrecision] / N[Tan[t], $MachinePrecision]), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|eh + ew \cdot \frac{t}{\mathsf{hypot}\left(1, \frac{\frac{eh}{ew}}{\tan t}\right)}\right|
\end{array}
Initial program 99.8%
associate-*l*99.8%
fma-def99.8%
associate-/l/99.8%
associate-/r*99.8%
*-commutative99.8%
associate-*l*99.8%
associate-/l/99.8%
associate-/r*99.8%
Simplified99.8%
associate-*r*99.8%
*-commutative99.8%
sin-atan56.5%
associate-*r/52.2%
associate-/l/51.2%
hypot-1-def59.1%
associate-/l/59.4%
Applied egg-rr59.4%
Taylor expanded in t around 0 77.0%
Taylor expanded in t around 0 56.0%
associate-/l/56.0%
Simplified56.0%
fma-udef56.0%
cos-atan56.5%
un-div-inv56.5%
hypot-1-def56.5%
Applied egg-rr56.5%
Final simplification56.5%
(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%
associate-*l*99.8%
fma-def99.8%
associate-/l/99.8%
associate-/r*99.8%
*-commutative99.8%
associate-*l*99.8%
associate-/l/99.8%
associate-/r*99.8%
Simplified99.8%
associate-*r*99.8%
*-commutative99.8%
sin-atan56.5%
associate-*r/52.2%
associate-/l/51.2%
hypot-1-def59.1%
associate-/l/59.4%
Applied egg-rr59.4%
Taylor expanded in t around 0 77.0%
Taylor expanded in t around 0 56.0%
associate-/l/56.0%
Simplified56.0%
Taylor expanded in ew around 0 41.4%
Final simplification41.4%
herbie shell --seed 2023175
(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))))))))