
(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 6 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
(-
(/ (* ew (cos t)) (hypot 1.0 (/ t_1 ew)))
(* (* eh (sin t)) (sin (atan (/ t_1 (- 0.0 ew)))))))))
double code(double eh, double ew, double t) {
double t_1 = tan(t) * eh;
return fabs((((ew * cos(t)) / hypot(1.0, (t_1 / ew))) - ((eh * sin(t)) * sin(atan((t_1 / (0.0 - ew)))))));
}
public static double code(double eh, double ew, double t) {
double t_1 = Math.tan(t) * eh;
return Math.abs((((ew * Math.cos(t)) / Math.hypot(1.0, (t_1 / ew))) - ((eh * Math.sin(t)) * Math.sin(Math.atan((t_1 / (0.0 - ew)))))));
}
def code(eh, ew, t): t_1 = math.tan(t) * eh return math.fabs((((ew * math.cos(t)) / math.hypot(1.0, (t_1 / ew))) - ((eh * math.sin(t)) * math.sin(math.atan((t_1 / (0.0 - ew)))))))
function code(eh, ew, t) t_1 = Float64(tan(t) * eh) return abs(Float64(Float64(Float64(ew * cos(t)) / hypot(1.0, Float64(t_1 / ew))) - Float64(Float64(eh * sin(t)) * sin(atan(Float64(t_1 / Float64(0.0 - ew))))))) end
function tmp = code(eh, ew, t) t_1 = tan(t) * eh; tmp = abs((((ew * cos(t)) / hypot(1.0, (t_1 / ew))) - ((eh * sin(t)) * sin(atan((t_1 / (0.0 - ew))))))); end
code[eh_, ew_, t_] := Block[{t$95$1 = N[(N[Tan[t], $MachinePrecision] * eh), $MachinePrecision]}, N[Abs[N[(N[(N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision] / N[Sqrt[1.0 ^ 2 + N[(t$95$1 / ew), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision] - N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Sin[N[ArcTan[N[(t$95$1 / N[(0.0 - ew), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \tan t \cdot eh\\
\left|\frac{ew \cdot \cos t}{\mathsf{hypot}\left(1, \frac{t\_1}{ew}\right)} - \left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(\frac{t\_1}{0 - ew}\right)\right|
\end{array}
\end{array}
Initial program 99.8%
cos-atanN/A
inv-powN/A
pow1/2N/A
sqr-powN/A
unpow-prod-downN/A
*-lowering-*.f64N/A
Applied egg-rr99.8%
associate-*r*N/A
unpow-1N/A
un-div-invN/A
unpow-1N/A
times-fracN/A
pow-prod-upN/A
metadata-evalN/A
pow2N/A
metadata-evalN/A
pow1/2N/A
Applied egg-rr99.8%
Final simplification99.8%
(FPCore (eh ew t) :precision binary64 (fabs (- (* (* ew (cos t)) (cos (atan (/ (* (tan t) eh) (- 0.0 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(((tan(t) * eh) / (0.0 - 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(((tan(t) * eh) / (0.0d0 - 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(((Math.tan(t) * eh) / (0.0 - 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(((math.tan(t) * eh) / (0.0 - 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(tan(t) * eh) / Float64(0.0 - ew))))) - Float64(Float64(eh * sin(t)) * sin(atan(Float64(0.0 - Float64(Float64(t * eh) / ew))))))) end
function tmp = code(eh, ew, t) tmp = abs((((ew * cos(t)) * cos(atan(((tan(t) * eh) / (0.0 - 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[(N[Tan[t], $MachinePrecision] * eh), $MachinePrecision] / N[(0.0 - ew), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Sin[N[ArcTan[N[(0.0 - N[(N[(t * eh), $MachinePrecision] / ew), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\left(ew \cdot \cos t\right) \cdot \cos \tan^{-1} \left(\frac{\tan t \cdot eh}{0 - ew}\right) - \left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(0 - \frac{t \cdot eh}{ew}\right)\right|
\end{array}
Initial program 99.8%
Taylor expanded in t around 0
Simplified98.8%
Final simplification98.8%
(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
inv-powN/A
pow1/2N/A
sqr-powN/A
unpow-prod-downN/A
*-lowering-*.f64N/A
Applied egg-rr99.8%
Taylor expanded in ew around inf
*-lowering-*.f64N/A
cos-lowering-cos.f6498.5%
Simplified98.5%
Final simplification98.5%
(FPCore (eh ew t)
:precision binary64
(let* ((t_1
(fabs
(- ew (* (* eh (sin t)) (sin (atan (- 0.0 (/ (* t eh) ew)))))))))
(if (<= eh -920000000.0)
t_1
(if (<= eh 3.9e+46) (fabs (* ew (cos t))) t_1))))
double code(double eh, double ew, double t) {
double t_1 = fabs((ew - ((eh * sin(t)) * sin(atan((0.0 - ((t * eh) / ew)))))));
double tmp;
if (eh <= -920000000.0) {
tmp = t_1;
} else if (eh <= 3.9e+46) {
tmp = fabs((ew * cos(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 - ((eh * sin(t)) * sin(atan((0.0d0 - ((t * eh) / ew)))))))
if (eh <= (-920000000.0d0)) then
tmp = t_1
else if (eh <= 3.9d+46) then
tmp = abs((ew * cos(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 - ((eh * Math.sin(t)) * Math.sin(Math.atan((0.0 - ((t * eh) / ew)))))));
double tmp;
if (eh <= -920000000.0) {
tmp = t_1;
} else if (eh <= 3.9e+46) {
tmp = Math.abs((ew * Math.cos(t)));
} else {
tmp = t_1;
}
return tmp;
}
def code(eh, ew, t): t_1 = math.fabs((ew - ((eh * math.sin(t)) * math.sin(math.atan((0.0 - ((t * eh) / ew))))))) tmp = 0 if eh <= -920000000.0: tmp = t_1 elif eh <= 3.9e+46: tmp = math.fabs((ew * math.cos(t))) else: tmp = t_1 return tmp
function code(eh, ew, t) t_1 = abs(Float64(ew - Float64(Float64(eh * sin(t)) * sin(atan(Float64(0.0 - Float64(Float64(t * eh) / ew))))))) tmp = 0.0 if (eh <= -920000000.0) tmp = t_1; elseif (eh <= 3.9e+46) tmp = abs(Float64(ew * cos(t))); else tmp = t_1; end return tmp end
function tmp_2 = code(eh, ew, t) t_1 = abs((ew - ((eh * sin(t)) * sin(atan((0.0 - ((t * eh) / ew))))))); tmp = 0.0; if (eh <= -920000000.0) tmp = t_1; elseif (eh <= 3.9e+46) tmp = abs((ew * cos(t))); else tmp = t_1; end tmp_2 = tmp; end
code[eh_, ew_, t_] := Block[{t$95$1 = N[Abs[N[(ew - N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Sin[N[ArcTan[N[(0.0 - N[(N[(t * eh), $MachinePrecision] / ew), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[eh, -920000000.0], t$95$1, If[LessEqual[eh, 3.9e+46], N[Abs[N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision]], $MachinePrecision], t$95$1]]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \left|ew - \left(eh \cdot \sin t\right) \cdot \sin \tan^{-1} \left(0 - \frac{t \cdot eh}{ew}\right)\right|\\
\mathbf{if}\;eh \leq -920000000:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;eh \leq 3.9 \cdot 10^{+46}:\\
\;\;\;\;\left|ew \cdot \cos t\right|\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if eh < -9.2e8 or 3.89999999999999995e46 < eh Initial program 99.9%
cos-atanN/A
inv-powN/A
pow1/2N/A
sqr-powN/A
unpow-prod-downN/A
*-lowering-*.f64N/A
Applied egg-rr99.8%
Taylor expanded in t around 0
Simplified93.3%
Taylor expanded in t around 0
Simplified93.3%
if -9.2e8 < eh < 3.89999999999999995e46Initial program 99.8%
cos-atanN/A
inv-powN/A
pow1/2N/A
sqr-powN/A
unpow-prod-downN/A
*-lowering-*.f64N/A
Applied egg-rr99.8%
Taylor expanded in ew around inf
*-lowering-*.f64N/A
cos-lowering-cos.f6488.3%
Simplified88.3%
Final simplification90.7%
(FPCore (eh ew t) :precision binary64 (fabs (* ew (cos t))))
double code(double eh, double ew, double t) {
return fabs((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((ew * cos(t)))
end function
public static double code(double eh, double ew, double t) {
return Math.abs((ew * Math.cos(t)));
}
def code(eh, ew, t): return math.fabs((ew * math.cos(t)))
function code(eh, ew, t) return abs(Float64(ew * cos(t))) end
function tmp = code(eh, ew, t) tmp = abs((ew * cos(t))); end
code[eh_, ew_, t_] := N[Abs[N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|ew \cdot \cos t\right|
\end{array}
Initial program 99.8%
cos-atanN/A
inv-powN/A
pow1/2N/A
sqr-powN/A
unpow-prod-downN/A
*-lowering-*.f64N/A
Applied egg-rr99.8%
Taylor expanded in ew around inf
*-lowering-*.f64N/A
cos-lowering-cos.f6462.7%
Simplified62.7%
(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
inv-powN/A
pow1/2N/A
sqr-powN/A
unpow-prod-downN/A
*-lowering-*.f64N/A
Applied egg-rr99.8%
Taylor expanded in t around 0
Simplified43.3%
herbie shell --seed 2024156
(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)))))))