
(FPCore (eh ew t) :precision binary64 (let* ((t_1 (atan (/ (* (- eh) (tan t)) ew)))) (fabs (- (* (* ew (cos t)) (cos t_1)) (* (* eh (sin t)) (sin t_1))))))
double code(double eh, double ew, double t) {
double t_1 = atan(((-eh * tan(t)) / ew));
return fabs((((ew * cos(t)) * cos(t_1)) - ((eh * sin(t)) * sin(t_1))));
}
real(8) function code(eh, ew, t)
real(8), intent (in) :: eh
real(8), intent (in) :: ew
real(8), intent (in) :: t
real(8) :: t_1
t_1 = atan(((-eh * tan(t)) / ew))
code = abs((((ew * cos(t)) * cos(t_1)) - ((eh * sin(t)) * sin(t_1))))
end function
public static double code(double eh, double ew, double t) {
double t_1 = Math.atan(((-eh * Math.tan(t)) / ew));
return Math.abs((((ew * Math.cos(t)) * Math.cos(t_1)) - ((eh * Math.sin(t)) * Math.sin(t_1))));
}
def code(eh, ew, t): t_1 = math.atan(((-eh * math.tan(t)) / ew)) return math.fabs((((ew * math.cos(t)) * math.cos(t_1)) - ((eh * math.sin(t)) * math.sin(t_1))))
function code(eh, ew, t) t_1 = atan(Float64(Float64(Float64(-eh) * tan(t)) / ew)) return abs(Float64(Float64(Float64(ew * cos(t)) * cos(t_1)) - Float64(Float64(eh * sin(t)) * sin(t_1)))) end
function tmp = code(eh, ew, t) t_1 = atan(((-eh * tan(t)) / ew)); tmp = abs((((ew * cos(t)) * cos(t_1)) - ((eh * sin(t)) * sin(t_1)))); end
code[eh_, ew_, t_] := Block[{t$95$1 = N[ArcTan[N[(N[((-eh) * N[Tan[t], $MachinePrecision]), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]}, N[Abs[N[(N[(N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision] * N[Cos[t$95$1], $MachinePrecision]), $MachinePrecision] - N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Sin[t$95$1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \tan^{-1} \left(\frac{\left(-eh\right) \cdot \tan t}{ew}\right)\\
\left|\left(ew \cdot \cos t\right) \cdot \cos t\_1 - \left(eh \cdot \sin t\right) \cdot \sin t\_1\right|
\end{array}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 7 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (eh ew t) :precision binary64 (let* ((t_1 (atan (/ (* (- eh) (tan t)) ew)))) (fabs (- (* (* ew (cos t)) (cos t_1)) (* (* eh (sin t)) (sin t_1))))))
double code(double eh, double ew, double t) {
double t_1 = atan(((-eh * tan(t)) / ew));
return fabs((((ew * cos(t)) * cos(t_1)) - ((eh * sin(t)) * sin(t_1))));
}
real(8) function code(eh, ew, t)
real(8), intent (in) :: eh
real(8), intent (in) :: ew
real(8), intent (in) :: t
real(8) :: t_1
t_1 = atan(((-eh * tan(t)) / ew))
code = abs((((ew * cos(t)) * cos(t_1)) - ((eh * sin(t)) * sin(t_1))))
end function
public static double code(double eh, double ew, double t) {
double t_1 = Math.atan(((-eh * Math.tan(t)) / ew));
return Math.abs((((ew * Math.cos(t)) * Math.cos(t_1)) - ((eh * Math.sin(t)) * Math.sin(t_1))));
}
def code(eh, ew, t): t_1 = math.atan(((-eh * math.tan(t)) / ew)) return math.fabs((((ew * math.cos(t)) * math.cos(t_1)) - ((eh * math.sin(t)) * math.sin(t_1))))
function code(eh, ew, t) t_1 = atan(Float64(Float64(Float64(-eh) * tan(t)) / ew)) return abs(Float64(Float64(Float64(ew * cos(t)) * cos(t_1)) - Float64(Float64(eh * sin(t)) * sin(t_1)))) end
function tmp = code(eh, ew, t) t_1 = atan(((-eh * tan(t)) / ew)); tmp = abs((((ew * cos(t)) * cos(t_1)) - ((eh * sin(t)) * sin(t_1)))); end
code[eh_, ew_, t_] := Block[{t$95$1 = N[ArcTan[N[(N[((-eh) * N[Tan[t], $MachinePrecision]), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]}, N[Abs[N[(N[(N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision] * N[Cos[t$95$1], $MachinePrecision]), $MachinePrecision] - N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Sin[t$95$1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \tan^{-1} \left(\frac{\left(-eh\right) \cdot \tan t}{ew}\right)\\
\left|\left(ew \cdot \cos t\right) \cdot \cos t\_1 - \left(eh \cdot \sin t\right) \cdot \sin t\_1\right|
\end{array}
\end{array}
(FPCore (eh ew t)
:precision binary64
(let* ((t_1 (* (tan t) eh)))
(fabs
(-
(* (* eh (sin t)) (sin (atan (/ (- 0.0 t_1) ew))))
(* (* ew (cos t)) (cos (atan (/ t_1 ew))))))))
double code(double eh, double ew, double t) {
double t_1 = tan(t) * eh;
return fabs((((eh * sin(t)) * sin(atan(((0.0 - t_1) / ew)))) - ((ew * cos(t)) * cos(atan((t_1 / ew))))));
}
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 = tan(t) * eh
code = abs((((eh * sin(t)) * sin(atan(((0.0d0 - t_1) / ew)))) - ((ew * cos(t)) * cos(atan((t_1 / ew))))))
end function
public static double code(double eh, double ew, double t) {
double t_1 = Math.tan(t) * eh;
return Math.abs((((eh * Math.sin(t)) * Math.sin(Math.atan(((0.0 - t_1) / ew)))) - ((ew * Math.cos(t)) * Math.cos(Math.atan((t_1 / ew))))));
}
def code(eh, ew, t): t_1 = math.tan(t) * eh return math.fabs((((eh * math.sin(t)) * math.sin(math.atan(((0.0 - t_1) / ew)))) - ((ew * math.cos(t)) * math.cos(math.atan((t_1 / ew))))))
function code(eh, ew, t) t_1 = Float64(tan(t) * eh) return abs(Float64(Float64(Float64(eh * sin(t)) * sin(atan(Float64(Float64(0.0 - t_1) / ew)))) - Float64(Float64(ew * cos(t)) * cos(atan(Float64(t_1 / ew)))))) end
function tmp = code(eh, ew, t) t_1 = tan(t) * eh; tmp = abs((((eh * sin(t)) * sin(atan(((0.0 - t_1) / ew)))) - ((ew * cos(t)) * cos(atan((t_1 / ew)))))); end
code[eh_, ew_, t_] := Block[{t$95$1 = N[(N[Tan[t], $MachinePrecision] * eh), $MachinePrecision]}, N[Abs[N[(N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Sin[N[ArcTan[N[(N[(0.0 - t$95$1), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision] * N[Cos[N[ArcTan[N[(t$95$1 / ew), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \tan t \cdot eh\\
\left|\left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(\frac{0 - t\_1}{ew}\right) - \left(ew \cdot \cos t\right) \cdot \cos \tan^{-1} \left(\frac{t\_1}{ew}\right)\right|
\end{array}
\end{array}
Initial program 99.8%
frac-2negN/A
distribute-frac-neg2N/A
atan-negN/A
cos-negN/A
cos-lowering-cos.f64N/A
atan-lowering-atan.f64N/A
/-lowering-/.f64N/A
distribute-lft-neg-outN/A
remove-double-negN/A
*-commutativeN/A
+-lft-identityN/A
*-lowering-*.f64N/A
tan-lowering-tan.f64N/A
+-lft-identity99.8%
Applied egg-rr99.8%
Final simplification99.8%
(FPCore (eh ew t) :precision binary64 (fabs (- (* (* ew (cos t)) (cos (atan (/ (- 0.0 (* (tan t) eh)) ew)))) (* (* eh (sin t)) (sin (atan (/ (- 0.0 (* t eh)) ew)))))))
double code(double eh, double ew, double t) {
return fabs((((ew * cos(t)) * cos(atan(((0.0 - (tan(t) * eh)) / ew)))) - ((eh * sin(t)) * sin(atan(((0.0 - (t * eh)) / ew))))));
}
real(8) function code(eh, ew, t)
real(8), intent (in) :: eh
real(8), intent (in) :: ew
real(8), intent (in) :: t
code = abs((((ew * cos(t)) * cos(atan(((0.0d0 - (tan(t) * eh)) / ew)))) - ((eh * sin(t)) * sin(atan(((0.0d0 - (t * eh)) / ew))))))
end function
public static double code(double eh, double ew, double t) {
return Math.abs((((ew * Math.cos(t)) * Math.cos(Math.atan(((0.0 - (Math.tan(t) * eh)) / ew)))) - ((eh * Math.sin(t)) * Math.sin(Math.atan(((0.0 - (t * eh)) / ew))))));
}
def code(eh, ew, t): return math.fabs((((ew * math.cos(t)) * math.cos(math.atan(((0.0 - (math.tan(t) * eh)) / ew)))) - ((eh * math.sin(t)) * math.sin(math.atan(((0.0 - (t * eh)) / ew))))))
function code(eh, ew, t) return abs(Float64(Float64(Float64(ew * cos(t)) * cos(atan(Float64(Float64(0.0 - Float64(tan(t) * eh)) / ew)))) - Float64(Float64(eh * sin(t)) * sin(atan(Float64(Float64(0.0 - Float64(t * eh)) / ew)))))) end
function tmp = code(eh, ew, t) tmp = abs((((ew * cos(t)) * cos(atan(((0.0 - (tan(t) * eh)) / ew)))) - ((eh * sin(t)) * sin(atan(((0.0 - (t * eh)) / ew)))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision] * N[Cos[N[ArcTan[N[(N[(0.0 - N[(N[Tan[t], $MachinePrecision] * eh), $MachinePrecision]), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Sin[N[ArcTan[N[(N[(0.0 - N[(t * eh), $MachinePrecision]), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\left(ew \cdot \cos t\right) \cdot \cos \tan^{-1} \left(\frac{0 - \tan t \cdot eh}{ew}\right) - \left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(\frac{0 - t \cdot eh}{ew}\right)\right|
\end{array}
Initial program 99.8%
Taylor expanded in t around 0
Simplified98.6%
Final simplification98.6%
(FPCore (eh ew t)
:precision binary64
(let* ((t_1 (* (tan t) eh)))
(fabs
(-
(* (* eh (sin t)) (sin (atan (/ (- 0.0 t_1) ew))))
(* ew (/ (cos t) (hypot 1.0 (/ t_1 ew))))))))
double code(double eh, double ew, double t) {
double t_1 = tan(t) * eh;
return fabs((((eh * sin(t)) * sin(atan(((0.0 - t_1) / ew)))) - (ew * (cos(t) / hypot(1.0, (t_1 / ew))))));
}
public static double code(double eh, double ew, double t) {
double t_1 = Math.tan(t) * eh;
return Math.abs((((eh * Math.sin(t)) * Math.sin(Math.atan(((0.0 - t_1) / ew)))) - (ew * (Math.cos(t) / Math.hypot(1.0, (t_1 / ew))))));
}
def code(eh, ew, t): t_1 = math.tan(t) * eh return math.fabs((((eh * math.sin(t)) * math.sin(math.atan(((0.0 - t_1) / ew)))) - (ew * (math.cos(t) / math.hypot(1.0, (t_1 / ew))))))
function code(eh, ew, t) t_1 = Float64(tan(t) * eh) return abs(Float64(Float64(Float64(eh * sin(t)) * sin(atan(Float64(Float64(0.0 - t_1) / ew)))) - Float64(ew * Float64(cos(t) / hypot(1.0, Float64(t_1 / ew)))))) end
function tmp = code(eh, ew, t) t_1 = tan(t) * eh; tmp = abs((((eh * sin(t)) * sin(atan(((0.0 - t_1) / ew)))) - (ew * (cos(t) / hypot(1.0, (t_1 / ew)))))); end
code[eh_, ew_, t_] := Block[{t$95$1 = N[(N[Tan[t], $MachinePrecision] * eh), $MachinePrecision]}, N[Abs[N[(N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Sin[N[ArcTan[N[(N[(0.0 - t$95$1), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(ew * N[(N[Cos[t], $MachinePrecision] / N[Sqrt[1.0 ^ 2 + N[(t$95$1 / ew), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \tan t \cdot eh\\
\left|\left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(\frac{0 - t\_1}{ew}\right) - ew \cdot \frac{\cos t}{\mathsf{hypot}\left(1, \frac{t\_1}{ew}\right)}\right|
\end{array}
\end{array}
Initial program 99.8%
frac-2negN/A
distribute-frac-neg2N/A
atan-negN/A
cos-negN/A
cos-lowering-cos.f64N/A
atan-lowering-atan.f64N/A
/-lowering-/.f64N/A
distribute-lft-neg-outN/A
remove-double-negN/A
*-commutativeN/A
+-lft-identityN/A
*-lowering-*.f64N/A
tan-lowering-tan.f64N/A
+-lft-identity99.8%
Applied egg-rr99.8%
cos-atanN/A
metadata-evalN/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr99.8%
Final simplification99.8%
(FPCore (eh ew t) :precision binary64 (fabs (- (* ew (cos t)) (* (* eh (sin t)) (sin (atan (/ (- 0.0 (* (tan t) eh)) ew)))))))
double code(double eh, double ew, double t) {
return fabs(((ew * cos(t)) - ((eh * sin(t)) * sin(atan(((0.0 - (tan(t) * eh)) / ew))))));
}
real(8) function code(eh, ew, t)
real(8), intent (in) :: eh
real(8), intent (in) :: ew
real(8), intent (in) :: t
code = abs(((ew * cos(t)) - ((eh * sin(t)) * sin(atan(((0.0d0 - (tan(t) * eh)) / ew))))))
end function
public static double code(double eh, double ew, double t) {
return Math.abs(((ew * Math.cos(t)) - ((eh * Math.sin(t)) * Math.sin(Math.atan(((0.0 - (Math.tan(t) * eh)) / ew))))));
}
def code(eh, ew, t): return math.fabs(((ew * math.cos(t)) - ((eh * math.sin(t)) * math.sin(math.atan(((0.0 - (math.tan(t) * eh)) / ew))))))
function code(eh, ew, t) return abs(Float64(Float64(ew * cos(t)) - Float64(Float64(eh * sin(t)) * sin(atan(Float64(Float64(0.0 - Float64(tan(t) * eh)) / ew)))))) end
function tmp = code(eh, ew, t) tmp = abs(((ew * cos(t)) - ((eh * sin(t)) * sin(atan(((0.0 - (tan(t) * eh)) / ew)))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision] - N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Sin[N[ArcTan[N[(N[(0.0 - N[(N[Tan[t], $MachinePrecision] * eh), $MachinePrecision]), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|ew \cdot \cos t - \left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(\frac{0 - \tan t \cdot eh}{ew}\right)\right|
\end{array}
Initial program 99.8%
cos-atanN/A
/-lowering-/.f64N/A
frac-2negN/A
distribute-frac-neg2N/A
frac-2negN/A
distribute-frac-neg2N/A
sqr-negN/A
hypot-1-defN/A
hypot-lowering-hypot.f64N/A
/-lowering-/.f64N/A
Applied egg-rr99.8%
Taylor expanded in ew around inf
*-lowering-*.f64N/A
cos-lowering-cos.f6498.2%
Simplified98.2%
Final simplification98.2%
(FPCore (eh ew t) :precision binary64 (let* ((t_1 (fabs (* ew (cos t))))) (if (<= ew -8.6e-102) t_1 (if (<= ew 7.8e-113) (fabs (* eh (sin t))) t_1))))
double code(double eh, double ew, double t) {
double t_1 = fabs((ew * cos(t)));
double tmp;
if (ew <= -8.6e-102) {
tmp = t_1;
} else if (ew <= 7.8e-113) {
tmp = fabs((eh * sin(t)));
} else {
tmp = t_1;
}
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) :: tmp
t_1 = abs((ew * cos(t)))
if (ew <= (-8.6d-102)) then
tmp = t_1
else if (ew <= 7.8d-113) then
tmp = abs((eh * sin(t)))
else
tmp = t_1
end if
code = tmp
end function
public static double code(double eh, double ew, double t) {
double t_1 = Math.abs((ew * Math.cos(t)));
double tmp;
if (ew <= -8.6e-102) {
tmp = t_1;
} else if (ew <= 7.8e-113) {
tmp = Math.abs((eh * Math.sin(t)));
} else {
tmp = t_1;
}
return tmp;
}
def code(eh, ew, t): t_1 = math.fabs((ew * math.cos(t))) tmp = 0 if ew <= -8.6e-102: tmp = t_1 elif ew <= 7.8e-113: tmp = math.fabs((eh * math.sin(t))) else: tmp = t_1 return tmp
function code(eh, ew, t) t_1 = abs(Float64(ew * cos(t))) tmp = 0.0 if (ew <= -8.6e-102) tmp = t_1; elseif (ew <= 7.8e-113) tmp = abs(Float64(eh * sin(t))); else tmp = t_1; end return tmp end
function tmp_2 = code(eh, ew, t) t_1 = abs((ew * cos(t))); tmp = 0.0; if (ew <= -8.6e-102) tmp = t_1; elseif (ew <= 7.8e-113) tmp = abs((eh * sin(t))); else tmp = t_1; end tmp_2 = tmp; end
code[eh_, ew_, t_] := Block[{t$95$1 = N[Abs[N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[ew, -8.6e-102], t$95$1, If[LessEqual[ew, 7.8e-113], N[Abs[N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision]], $MachinePrecision], t$95$1]]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \left|ew \cdot \cos t\right|\\
\mathbf{if}\;ew \leq -8.6 \cdot 10^{-102}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;ew \leq 7.8 \cdot 10^{-113}:\\
\;\;\;\;\left|eh \cdot \sin t\right|\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if ew < -8.5999999999999995e-102 or 7.7999999999999997e-113 < ew Initial program 99.8%
cos-atanN/A
/-lowering-/.f64N/A
frac-2negN/A
distribute-frac-neg2N/A
frac-2negN/A
distribute-frac-neg2N/A
sqr-negN/A
hypot-1-defN/A
hypot-lowering-hypot.f64N/A
/-lowering-/.f64N/A
Applied egg-rr99.8%
Taylor expanded in ew around inf
*-lowering-*.f64N/A
cos-lowering-cos.f6480.1%
Simplified80.1%
if -8.5999999999999995e-102 < ew < 7.7999999999999997e-113Initial program 99.8%
Taylor expanded in t around 0
Simplified96.7%
cos-atanN/A
un-div-invN/A
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
hypot-1-defN/A
hypot-lowering-hypot.f64N/A
/-lowering-/.f64N/A
distribute-lft-neg-outN/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f6496.5%
Applied egg-rr96.5%
Applied egg-rr39.9%
Taylor expanded in eh around inf
*-lowering-*.f64N/A
sin-lowering-sin.f6478.4%
Simplified78.4%
(FPCore (eh ew t) :precision binary64 (if (<= ew -2.8e-101) (fabs ew) (if (<= ew 5.5e+45) (fabs (* eh (sin t))) (fabs ew))))
double code(double eh, double ew, double t) {
double tmp;
if (ew <= -2.8e-101) {
tmp = fabs(ew);
} else if (ew <= 5.5e+45) {
tmp = fabs((eh * sin(t)));
} else {
tmp = fabs(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) :: tmp
if (ew <= (-2.8d-101)) then
tmp = abs(ew)
else if (ew <= 5.5d+45) then
tmp = abs((eh * sin(t)))
else
tmp = abs(ew)
end if
code = tmp
end function
public static double code(double eh, double ew, double t) {
double tmp;
if (ew <= -2.8e-101) {
tmp = Math.abs(ew);
} else if (ew <= 5.5e+45) {
tmp = Math.abs((eh * Math.sin(t)));
} else {
tmp = Math.abs(ew);
}
return tmp;
}
def code(eh, ew, t): tmp = 0 if ew <= -2.8e-101: tmp = math.fabs(ew) elif ew <= 5.5e+45: tmp = math.fabs((eh * math.sin(t))) else: tmp = math.fabs(ew) return tmp
function code(eh, ew, t) tmp = 0.0 if (ew <= -2.8e-101) tmp = abs(ew); elseif (ew <= 5.5e+45) tmp = abs(Float64(eh * sin(t))); else tmp = abs(ew); end return tmp end
function tmp_2 = code(eh, ew, t) tmp = 0.0; if (ew <= -2.8e-101) tmp = abs(ew); elseif (ew <= 5.5e+45) tmp = abs((eh * sin(t))); else tmp = abs(ew); end tmp_2 = tmp; end
code[eh_, ew_, t_] := If[LessEqual[ew, -2.8e-101], N[Abs[ew], $MachinePrecision], If[LessEqual[ew, 5.5e+45], N[Abs[N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision]], $MachinePrecision], N[Abs[ew], $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;ew \leq -2.8 \cdot 10^{-101}:\\
\;\;\;\;\left|ew\right|\\
\mathbf{elif}\;ew \leq 5.5 \cdot 10^{+45}:\\
\;\;\;\;\left|eh \cdot \sin t\right|\\
\mathbf{else}:\\
\;\;\;\;\left|ew\right|\\
\end{array}
\end{array}
if ew < -2.79999999999999989e-101 or 5.5000000000000001e45 < ew Initial program 99.8%
cos-atanN/A
/-lowering-/.f64N/A
frac-2negN/A
distribute-frac-neg2N/A
frac-2negN/A
distribute-frac-neg2N/A
sqr-negN/A
hypot-1-defN/A
hypot-lowering-hypot.f64N/A
/-lowering-/.f64N/A
Applied egg-rr99.8%
Taylor expanded in t around 0
Simplified59.7%
if -2.79999999999999989e-101 < ew < 5.5000000000000001e45Initial program 99.8%
Taylor expanded in t around 0
Simplified93.2%
cos-atanN/A
un-div-invN/A
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
hypot-1-defN/A
hypot-lowering-hypot.f64N/A
/-lowering-/.f64N/A
distribute-lft-neg-outN/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
cos-lowering-cos.f6493.0%
Applied egg-rr93.0%
Applied egg-rr47.3%
Taylor expanded in eh around inf
*-lowering-*.f64N/A
sin-lowering-sin.f6469.2%
Simplified69.2%
(FPCore (eh ew t) :precision binary64 (fabs ew))
double code(double eh, double ew, double t) {
return fabs(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)
end function
public static double code(double eh, double ew, double t) {
return Math.abs(ew);
}
def code(eh, ew, t): return math.fabs(ew)
function code(eh, ew, t) return abs(ew) end
function tmp = code(eh, ew, t) tmp = abs(ew); end
code[eh_, ew_, t_] := N[Abs[ew], $MachinePrecision]
\begin{array}{l}
\\
\left|ew\right|
\end{array}
Initial program 99.8%
cos-atanN/A
/-lowering-/.f64N/A
frac-2negN/A
distribute-frac-neg2N/A
frac-2negN/A
distribute-frac-neg2N/A
sqr-negN/A
hypot-1-defN/A
hypot-lowering-hypot.f64N/A
/-lowering-/.f64N/A
Applied egg-rr99.8%
Taylor expanded in t around 0
Simplified43.8%
herbie shell --seed 2024152
(FPCore (eh ew t)
:name "Example 2 from Robby"
:precision binary64
(fabs (- (* (* ew (cos t)) (cos (atan (/ (* (- eh) (tan t)) ew)))) (* (* eh (sin t)) (sin (atan (/ (* (- eh) (tan t)) ew)))))))