
(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 (fabs (- (* (* eh (sin t)) (sin (atan (/ (* (tan t) eh) (- 0.0 ew))))) (/ (* ew (cos t)) (hypot 1.0 (* (tan t) (/ eh ew)))))))
double code(double eh, double ew, double t) {
return fabs((((eh * sin(t)) * sin(atan(((tan(t) * eh) / (0.0 - ew))))) - ((ew * cos(t)) / hypot(1.0, (tan(t) * (eh / ew))))));
}
public static double code(double eh, double ew, double t) {
return Math.abs((((eh * Math.sin(t)) * Math.sin(Math.atan(((Math.tan(t) * eh) / (0.0 - ew))))) - ((ew * Math.cos(t)) / Math.hypot(1.0, (Math.tan(t) * (eh / ew))))));
}
def code(eh, ew, t): return math.fabs((((eh * math.sin(t)) * math.sin(math.atan(((math.tan(t) * eh) / (0.0 - ew))))) - ((ew * math.cos(t)) / math.hypot(1.0, (math.tan(t) * (eh / ew))))))
function code(eh, ew, t) return abs(Float64(Float64(Float64(eh * sin(t)) * sin(atan(Float64(Float64(tan(t) * eh) / Float64(0.0 - ew))))) - Float64(Float64(ew * cos(t)) / hypot(1.0, Float64(tan(t) * Float64(eh / ew)))))) end
function tmp = code(eh, ew, t) tmp = abs((((eh * sin(t)) * sin(atan(((tan(t) * eh) / (0.0 - ew))))) - ((ew * cos(t)) / hypot(1.0, (tan(t) * (eh / ew)))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Sin[N[ArcTan[N[(N[(N[Tan[t], $MachinePrecision] * eh), $MachinePrecision] / N[(0.0 - ew), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision] / N[Sqrt[1.0 ^ 2 + N[(N[Tan[t], $MachinePrecision] * N[(eh / ew), $MachinePrecision]), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(\frac{\tan t \cdot eh}{0 - ew}\right) - \frac{ew \cdot \cos t}{\mathsf{hypot}\left(1, \tan t \cdot \frac{eh}{ew}\right)}\right|
\end{array}
Initial program 99.8%
cos-atanN/A
inv-powN/A
pow1/2N/A
pow-powN/A
flip-+N/A
div-invN/A
unpow-prod-downN/A
Applied egg-rr64.7%
*-commutativeN/A
pow-prod-downN/A
Applied egg-rr99.8%
Final simplification99.8%
(FPCore (eh ew t) :precision binary64 (fabs (- (* (* eh (sin t)) (sin (atan (/ (* t (- 0.0 eh)) ew)))) (* (cos (atan (/ (* (tan t) eh) (- 0.0 ew)))) (* ew (cos t))))))
double code(double eh, double ew, double t) {
return fabs((((eh * sin(t)) * sin(atan(((t * (0.0 - eh)) / ew)))) - (cos(atan(((tan(t) * eh) / (0.0 - ew)))) * (ew * cos(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 * sin(t)) * sin(atan(((t * (0.0d0 - eh)) / ew)))) - (cos(atan(((tan(t) * eh) / (0.0d0 - ew)))) * (ew * cos(t)))))
end function
public static double code(double eh, double ew, double t) {
return Math.abs((((eh * Math.sin(t)) * Math.sin(Math.atan(((t * (0.0 - eh)) / ew)))) - (Math.cos(Math.atan(((Math.tan(t) * eh) / (0.0 - ew)))) * (ew * Math.cos(t)))));
}
def code(eh, ew, t): return math.fabs((((eh * math.sin(t)) * math.sin(math.atan(((t * (0.0 - eh)) / ew)))) - (math.cos(math.atan(((math.tan(t) * eh) / (0.0 - ew)))) * (ew * math.cos(t)))))
function code(eh, ew, t) return abs(Float64(Float64(Float64(eh * sin(t)) * sin(atan(Float64(Float64(t * Float64(0.0 - eh)) / ew)))) - Float64(cos(atan(Float64(Float64(tan(t) * eh) / Float64(0.0 - ew)))) * Float64(ew * cos(t))))) end
function tmp = code(eh, ew, t) tmp = abs((((eh * sin(t)) * sin(atan(((t * (0.0 - eh)) / ew)))) - (cos(atan(((tan(t) * eh) / (0.0 - ew)))) * (ew * cos(t))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Sin[N[ArcTan[N[(N[(t * N[(0.0 - eh), $MachinePrecision]), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[ArcTan[N[(N[(N[Tan[t], $MachinePrecision] * eh), $MachinePrecision] / N[(0.0 - ew), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(\frac{t \cdot \left(0 - eh\right)}{ew}\right) - \cos \tan^{-1} \left(\frac{\tan t \cdot eh}{0 - ew}\right) \cdot \left(ew \cdot \cos t\right)\right|
\end{array}
Initial program 99.8%
Taylor expanded in t around 0
Simplified99.5%
Final simplification99.5%
(FPCore (eh ew t) :precision binary64 (fabs (- (* ew (cos t)) (* (* eh (sin t)) (sin (atan (/ (* (tan t) eh) (- 0.0 ew))))))))
double code(double eh, double ew, double t) {
return fabs(((ew * cos(t)) - ((eh * sin(t)) * sin(atan(((tan(t) * eh) / (0.0 - 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(((tan(t) * eh) / (0.0d0 - 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(((Math.tan(t) * eh) / (0.0 - ew)))))));
}
def code(eh, ew, t): return math.fabs(((ew * math.cos(t)) - ((eh * math.sin(t)) * math.sin(math.atan(((math.tan(t) * eh) / (0.0 - ew)))))))
function code(eh, ew, t) return abs(Float64(Float64(ew * cos(t)) - Float64(Float64(eh * sin(t)) * sin(atan(Float64(Float64(tan(t) * eh) / Float64(0.0 - ew))))))) end
function tmp = code(eh, ew, t) tmp = abs(((ew * cos(t)) - ((eh * sin(t)) * sin(atan(((tan(t) * eh) / (0.0 - 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[(N[Tan[t], $MachinePrecision] * eh), $MachinePrecision] / N[(0.0 - ew), $MachinePrecision]), $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{\tan t \cdot eh}{0 - 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 eh around 0
mul-1-negN/A
+-commutativeN/A
unsub-negN/A
--lowering--.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f64N/A
atan-lowering-atan.f64N/A
mul-1-negN/A
distribute-neg-frac2N/A
mul-1-negN/A
/-lowering-/.f64N/A
Simplified99.1%
Final simplification99.1%
(FPCore (eh ew t) :precision binary64 (fabs (+ (/ (* ew (cos t)) (hypot 1.0 (/ (* (tan t) eh) ew))) (/ eh (/ 1.0 (sin t))))))
double code(double eh, double ew, double t) {
return fabs((((ew * cos(t)) / hypot(1.0, ((tan(t) * eh) / ew))) + (eh / (1.0 / sin(t)))));
}
public static double code(double eh, double ew, double t) {
return Math.abs((((ew * Math.cos(t)) / Math.hypot(1.0, ((Math.tan(t) * eh) / ew))) + (eh / (1.0 / Math.sin(t)))));
}
def code(eh, ew, t): return math.fabs((((ew * math.cos(t)) / math.hypot(1.0, ((math.tan(t) * eh) / ew))) + (eh / (1.0 / math.sin(t)))))
function code(eh, ew, t) return abs(Float64(Float64(Float64(ew * cos(t)) / hypot(1.0, Float64(Float64(tan(t) * eh) / ew))) + Float64(eh / Float64(1.0 / sin(t))))) end
function tmp = code(eh, ew, t) tmp = abs((((ew * cos(t)) / hypot(1.0, ((tan(t) * eh) / ew))) + (eh / (1.0 / sin(t))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision] / N[Sqrt[1.0 ^ 2 + N[(N[(N[Tan[t], $MachinePrecision] * eh), $MachinePrecision] / ew), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision] + N[(eh / N[(1.0 / N[Sin[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\frac{ew \cdot \cos t}{\mathsf{hypot}\left(1, \frac{\tan t \cdot eh}{ew}\right)} + \frac{eh}{\frac{1}{\sin t}}\right|
\end{array}
Initial program 99.8%
Taylor expanded in t around 0
Simplified99.5%
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr81.8%
Applied egg-rr82.7%
Taylor expanded in eh around inf
/-lowering-/.f64N/A
sin-lowering-sin.f6498.6%
Simplified98.6%
Final simplification98.6%
(FPCore (eh ew t) :precision binary64 (let* ((t_1 (fabs (* ew (cos t))))) (if (<= ew -5e-124) t_1 (if (<= ew 4.6e-97) (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 <= -5e-124) {
tmp = t_1;
} else if (ew <= 4.6e-97) {
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 <= (-5d-124)) then
tmp = t_1
else if (ew <= 4.6d-97) 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 <= -5e-124) {
tmp = t_1;
} else if (ew <= 4.6e-97) {
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 <= -5e-124: tmp = t_1 elif ew <= 4.6e-97: 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 <= -5e-124) tmp = t_1; elseif (ew <= 4.6e-97) 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 <= -5e-124) tmp = t_1; elseif (ew <= 4.6e-97) 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, -5e-124], t$95$1, If[LessEqual[ew, 4.6e-97], 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 -5 \cdot 10^{-124}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;ew \leq 4.6 \cdot 10^{-97}:\\
\;\;\;\;\left|eh \cdot \sin t\right|\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if ew < -5.0000000000000003e-124 or 4.59999999999999988e-97 < 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
*-commutativeN/A
*-lowering-*.f64N/A
cos-lowering-cos.f6481.4%
Simplified81.4%
if -5.0000000000000003e-124 < ew < 4.59999999999999988e-97Initial program 99.8%
Taylor expanded in t around 0
Simplified98.9%
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr56.3%
Taylor expanded in ew around 0
*-lowering-*.f64N/A
sin-lowering-sin.f6479.0%
Simplified79.0%
Final simplification80.7%
(FPCore (eh ew t) :precision binary64 (let* ((t_1 (fabs (* eh (sin t))))) (if (<= t -3.7e-17) t_1 (if (<= t 7.2e-25) (fabs ew) t_1))))
double code(double eh, double ew, double t) {
double t_1 = fabs((eh * sin(t)));
double tmp;
if (t <= -3.7e-17) {
tmp = t_1;
} else if (t <= 7.2e-25) {
tmp = fabs(ew);
} 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((eh * sin(t)))
if (t <= (-3.7d-17)) then
tmp = t_1
else if (t <= 7.2d-25) then
tmp = abs(ew)
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((eh * Math.sin(t)));
double tmp;
if (t <= -3.7e-17) {
tmp = t_1;
} else if (t <= 7.2e-25) {
tmp = Math.abs(ew);
} else {
tmp = t_1;
}
return tmp;
}
def code(eh, ew, t): t_1 = math.fabs((eh * math.sin(t))) tmp = 0 if t <= -3.7e-17: tmp = t_1 elif t <= 7.2e-25: tmp = math.fabs(ew) else: tmp = t_1 return tmp
function code(eh, ew, t) t_1 = abs(Float64(eh * sin(t))) tmp = 0.0 if (t <= -3.7e-17) tmp = t_1; elseif (t <= 7.2e-25) tmp = abs(ew); else tmp = t_1; end return tmp end
function tmp_2 = code(eh, ew, t) t_1 = abs((eh * sin(t))); tmp = 0.0; if (t <= -3.7e-17) tmp = t_1; elseif (t <= 7.2e-25) tmp = abs(ew); else tmp = t_1; end tmp_2 = tmp; end
code[eh_, ew_, t_] := Block[{t$95$1 = N[Abs[N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t, -3.7e-17], t$95$1, If[LessEqual[t, 7.2e-25], N[Abs[ew], $MachinePrecision], t$95$1]]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \left|eh \cdot \sin t\right|\\
\mathbf{if}\;t \leq -3.7 \cdot 10^{-17}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;t \leq 7.2 \cdot 10^{-25}:\\
\;\;\;\;\left|ew\right|\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if t < -3.6999999999999997e-17 or 7.1999999999999998e-25 < t Initial program 99.6%
Taylor expanded in t around 0
Simplified99.1%
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr67.6%
Taylor expanded in ew around 0
*-lowering-*.f64N/A
sin-lowering-sin.f6451.1%
Simplified51.1%
if -3.6999999999999997e-17 < t < 7.1999999999999998e-25Initial program 100.0%
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-rr100.0%
Taylor expanded in t around 0
Simplified80.7%
(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
Simplified45.1%
herbie shell --seed 2024139
(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)))))))