
(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 8 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 (- (* (/ 1.0 (hypot 1.0 (/ eh (/ ew (tan t))))) (* ew (cos t))) (* eh (* (sin t) (sin (atan (* eh (/ (tan t) (- ew))))))))))
double code(double eh, double ew, double t) {
return fabs((((1.0 / hypot(1.0, (eh / (ew / tan(t))))) * (ew * cos(t))) - (eh * (sin(t) * sin(atan((eh * (tan(t) / -ew))))))));
}
public static double code(double eh, double ew, double t) {
return Math.abs((((1.0 / Math.hypot(1.0, (eh / (ew / Math.tan(t))))) * (ew * Math.cos(t))) - (eh * (Math.sin(t) * Math.sin(Math.atan((eh * (Math.tan(t) / -ew))))))));
}
def code(eh, ew, t): return math.fabs((((1.0 / math.hypot(1.0, (eh / (ew / math.tan(t))))) * (ew * math.cos(t))) - (eh * (math.sin(t) * math.sin(math.atan((eh * (math.tan(t) / -ew))))))))
function code(eh, ew, t) return abs(Float64(Float64(Float64(1.0 / hypot(1.0, Float64(eh / Float64(ew / tan(t))))) * Float64(ew * cos(t))) - Float64(eh * Float64(sin(t) * sin(atan(Float64(eh * Float64(tan(t) / Float64(-ew))))))))) end
function tmp = code(eh, ew, t) tmp = abs((((1.0 / hypot(1.0, (eh / (ew / tan(t))))) * (ew * cos(t))) - (eh * (sin(t) * sin(atan((eh * (tan(t) / -ew)))))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(N[(1.0 / N[Sqrt[1.0 ^ 2 + N[(eh / N[(ew / N[Tan[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision] * N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(eh * N[(N[Sin[t], $MachinePrecision] * N[Sin[N[ArcTan[N[(eh * N[(N[Tan[t], $MachinePrecision] / (-ew)), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\frac{1}{\mathsf{hypot}\left(1, \frac{eh}{\frac{ew}{\tan t}}\right)} \cdot \left(ew \cdot \cos t\right) - eh \cdot \left(\sin t \cdot \sin \tan^{-1} \left(eh \cdot \frac{\tan t}{-ew}\right)\right)\right|
\end{array}
Initial program 99.8%
sub-neg99.8%
associate-*l*99.8%
distribute-rgt-neg-in99.8%
cancel-sign-sub99.8%
associate-/l*99.8%
Simplified99.8%
cos-atan99.8%
hypot-1-def99.8%
clear-num99.8%
un-div-inv99.8%
add-sqr-sqrt55.4%
sqrt-unprod93.3%
sqr-neg93.3%
sqrt-unprod44.4%
add-sqr-sqrt99.8%
Applied egg-rr99.8%
Final simplification99.8%
(FPCore (eh ew t) :precision binary64 (fabs (- (* eh (* (sin t) (sin (atan (* eh (/ t (- ew))))))) (* (cos (atan (* eh (/ (tan t) (- ew))))) (* ew (cos t))))))
double code(double eh, double ew, double t) {
return fabs(((eh * (sin(t) * sin(atan((eh * (t / -ew)))))) - (cos(atan((eh * (tan(t) / -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((eh * (t / -ew)))))) - (cos(atan((eh * (tan(t) / -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((eh * (t / -ew)))))) - (Math.cos(Math.atan((eh * (Math.tan(t) / -ew)))) * (ew * Math.cos(t)))));
}
def code(eh, ew, t): return math.fabs(((eh * (math.sin(t) * math.sin(math.atan((eh * (t / -ew)))))) - (math.cos(math.atan((eh * (math.tan(t) / -ew)))) * (ew * math.cos(t)))))
function code(eh, ew, t) return abs(Float64(Float64(eh * Float64(sin(t) * sin(atan(Float64(eh * Float64(t / Float64(-ew))))))) - Float64(cos(atan(Float64(eh * Float64(tan(t) / Float64(-ew))))) * Float64(ew * cos(t))))) end
function tmp = code(eh, ew, t) tmp = abs(((eh * (sin(t) * sin(atan((eh * (t / -ew)))))) - (cos(atan((eh * (tan(t) / -ew)))) * (ew * cos(t))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(eh * N[(N[Sin[t], $MachinePrecision] * N[Sin[N[ArcTan[N[(eh * N[(t / (-ew)), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Cos[N[ArcTan[N[(eh * N[(N[Tan[t], $MachinePrecision] / (-ew)), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|eh \cdot \left(\sin t \cdot \sin \tan^{-1} \left(eh \cdot \frac{t}{-ew}\right)\right) - \cos \tan^{-1} \left(eh \cdot \frac{\tan t}{-ew}\right) \cdot \left(ew \cdot \cos t\right)\right|
\end{array}
Initial program 99.8%
sub-neg99.8%
associate-*l*99.8%
distribute-rgt-neg-in99.8%
cancel-sign-sub99.8%
associate-/l*99.8%
Simplified99.8%
Taylor expanded in t around 0 99.4%
Final simplification99.4%
(FPCore (eh ew t) :precision binary64 (fabs (- (* (cos (atan (* eh (/ (tan t) (- ew))))) (* ew (cos t))) (* eh (sin t)))))
double code(double eh, double ew, double t) {
return fabs(((cos(atan((eh * (tan(t) / -ew)))) * (ew * cos(t))) - (eh * 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(((cos(atan((eh * (tan(t) / -ew)))) * (ew * cos(t))) - (eh * sin(t))))
end function
public static double code(double eh, double ew, double t) {
return Math.abs(((Math.cos(Math.atan((eh * (Math.tan(t) / -ew)))) * (ew * Math.cos(t))) - (eh * Math.sin(t))));
}
def code(eh, ew, t): return math.fabs(((math.cos(math.atan((eh * (math.tan(t) / -ew)))) * (ew * math.cos(t))) - (eh * math.sin(t))))
function code(eh, ew, t) return abs(Float64(Float64(cos(atan(Float64(eh * Float64(tan(t) / Float64(-ew))))) * Float64(ew * cos(t))) - Float64(eh * sin(t)))) end
function tmp = code(eh, ew, t) tmp = abs(((cos(atan((eh * (tan(t) / -ew)))) * (ew * cos(t))) - (eh * sin(t)))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(N[Cos[N[ArcTan[N[(eh * N[(N[Tan[t], $MachinePrecision] / (-ew)), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\cos \tan^{-1} \left(eh \cdot \frac{\tan t}{-ew}\right) \cdot \left(ew \cdot \cos t\right) - eh \cdot \sin t\right|
\end{array}
Initial program 99.8%
sub-neg99.8%
associate-*l*99.8%
distribute-rgt-neg-in99.8%
cancel-sign-sub99.8%
associate-/l*99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan78.5%
associate-*r/76.0%
clear-num76.0%
un-div-inv75.9%
add-sqr-sqrt41.8%
sqrt-unprod63.0%
sqr-neg63.0%
sqrt-unprod33.7%
add-sqr-sqrt75.5%
hypot-1-def81.9%
clear-num82.0%
un-div-inv82.0%
Applied egg-rr82.0%
associate-*l*82.0%
associate-/r/78.1%
associate-*l/81.9%
associate-/l*81.9%
associate-/r/78.1%
associate-*l/81.9%
associate-/l*82.0%
Simplified82.0%
Taylor expanded in eh around inf 99.1%
Final simplification99.1%
(FPCore (eh ew t) :precision binary64 (fabs (+ (* (cos (atan (* eh (/ (tan t) (- ew))))) (* ew (cos t))) (* eh (sin t)))))
double code(double eh, double ew, double t) {
return fabs(((cos(atan((eh * (tan(t) / -ew)))) * (ew * cos(t))) + (eh * 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(((cos(atan((eh * (tan(t) / -ew)))) * (ew * cos(t))) + (eh * sin(t))))
end function
public static double code(double eh, double ew, double t) {
return Math.abs(((Math.cos(Math.atan((eh * (Math.tan(t) / -ew)))) * (ew * Math.cos(t))) + (eh * Math.sin(t))));
}
def code(eh, ew, t): return math.fabs(((math.cos(math.atan((eh * (math.tan(t) / -ew)))) * (ew * math.cos(t))) + (eh * math.sin(t))))
function code(eh, ew, t) return abs(Float64(Float64(cos(atan(Float64(eh * Float64(tan(t) / Float64(-ew))))) * Float64(ew * cos(t))) + Float64(eh * sin(t)))) end
function tmp = code(eh, ew, t) tmp = abs(((cos(atan((eh * (tan(t) / -ew)))) * (ew * cos(t))) + (eh * sin(t)))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(N[Cos[N[ArcTan[N[(eh * N[(N[Tan[t], $MachinePrecision] / (-ew)), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\cos \tan^{-1} \left(eh \cdot \frac{\tan t}{-ew}\right) \cdot \left(ew \cdot \cos t\right) + eh \cdot \sin t\right|
\end{array}
Initial program 99.8%
sub-neg99.8%
associate-*l*99.8%
distribute-rgt-neg-in99.8%
cancel-sign-sub99.8%
associate-/l*99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan78.5%
associate-*r/76.0%
clear-num76.0%
un-div-inv75.9%
add-sqr-sqrt41.8%
sqrt-unprod63.0%
sqr-neg63.0%
sqrt-unprod33.7%
add-sqr-sqrt75.5%
hypot-1-def81.9%
clear-num82.0%
un-div-inv82.0%
Applied egg-rr82.0%
associate-*l*82.0%
associate-/r/78.1%
associate-*l/81.9%
associate-/l*81.9%
associate-/r/78.1%
associate-*l/81.9%
associate-/l*82.0%
Simplified82.0%
Taylor expanded in eh around -inf 99.1%
mul-1-neg99.1%
distribute-rgt-neg-in99.1%
Simplified99.1%
Final simplification99.1%
(FPCore (eh ew t) :precision binary64 (if (or (<= ew -1.65e+37) (not (<= ew 2.05e+49))) (fabs (* ew (cos t))) (fabs (- (* ew (cos (atan (* eh (/ (tan t) (- ew)))))) (* eh (sin t))))))
double code(double eh, double ew, double t) {
double tmp;
if ((ew <= -1.65e+37) || !(ew <= 2.05e+49)) {
tmp = fabs((ew * cos(t)));
} else {
tmp = fabs(((ew * cos(atan((eh * (tan(t) / -ew))))) - (eh * sin(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 ((ew <= (-1.65d+37)) .or. (.not. (ew <= 2.05d+49))) then
tmp = abs((ew * cos(t)))
else
tmp = abs(((ew * cos(atan((eh * (tan(t) / -ew))))) - (eh * sin(t))))
end if
code = tmp
end function
public static double code(double eh, double ew, double t) {
double tmp;
if ((ew <= -1.65e+37) || !(ew <= 2.05e+49)) {
tmp = Math.abs((ew * Math.cos(t)));
} else {
tmp = Math.abs(((ew * Math.cos(Math.atan((eh * (Math.tan(t) / -ew))))) - (eh * Math.sin(t))));
}
return tmp;
}
def code(eh, ew, t): tmp = 0 if (ew <= -1.65e+37) or not (ew <= 2.05e+49): tmp = math.fabs((ew * math.cos(t))) else: tmp = math.fabs(((ew * math.cos(math.atan((eh * (math.tan(t) / -ew))))) - (eh * math.sin(t)))) return tmp
function code(eh, ew, t) tmp = 0.0 if ((ew <= -1.65e+37) || !(ew <= 2.05e+49)) tmp = abs(Float64(ew * cos(t))); else tmp = abs(Float64(Float64(ew * cos(atan(Float64(eh * Float64(tan(t) / Float64(-ew)))))) - Float64(eh * sin(t)))); end return tmp end
function tmp_2 = code(eh, ew, t) tmp = 0.0; if ((ew <= -1.65e+37) || ~((ew <= 2.05e+49))) tmp = abs((ew * cos(t))); else tmp = abs(((ew * cos(atan((eh * (tan(t) / -ew))))) - (eh * sin(t)))); end tmp_2 = tmp; end
code[eh_, ew_, t_] := If[Or[LessEqual[ew, -1.65e+37], N[Not[LessEqual[ew, 2.05e+49]], $MachinePrecision]], N[Abs[N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision]], $MachinePrecision], N[Abs[N[(N[(ew * N[Cos[N[ArcTan[N[(eh * N[(N[Tan[t], $MachinePrecision] / (-ew)), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;ew \leq -1.65 \cdot 10^{+37} \lor \neg \left(ew \leq 2.05 \cdot 10^{+49}\right):\\
\;\;\;\;\left|ew \cdot \cos t\right|\\
\mathbf{else}:\\
\;\;\;\;\left|ew \cdot \cos \tan^{-1} \left(eh \cdot \frac{\tan t}{-ew}\right) - eh \cdot \sin t\right|\\
\end{array}
\end{array}
if ew < -1.65e37 or 2.05e49 < ew Initial program 99.7%
sub-neg99.7%
associate-*l*99.7%
distribute-rgt-neg-in99.7%
cancel-sign-sub99.7%
associate-/l*99.7%
Simplified99.7%
cos-atan99.7%
hypot-1-def99.7%
clear-num99.7%
un-div-inv99.7%
add-sqr-sqrt52.6%
sqrt-unprod87.3%
sqr-neg87.3%
sqrt-unprod47.2%
add-sqr-sqrt99.7%
Applied egg-rr99.7%
Taylor expanded in eh around 0 98.9%
sin-mult88.0%
associate-*r/88.0%
Applied egg-rr88.1%
+-inverses88.0%
*-commutative88.0%
associate-/l*88.0%
mul0-lft88.0%
Simplified88.1%
if -1.65e37 < ew < 2.05e49Initial program 99.8%
sub-neg99.8%
associate-*l*99.8%
distribute-rgt-neg-in99.8%
cancel-sign-sub99.8%
associate-/l*99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan63.1%
associate-*r/62.6%
clear-num62.6%
un-div-inv62.5%
add-sqr-sqrt37.6%
sqrt-unprod52.4%
sqr-neg52.4%
sqrt-unprod24.7%
add-sqr-sqrt62.3%
hypot-1-def73.5%
clear-num73.6%
un-div-inv73.7%
Applied egg-rr73.7%
associate-*l*73.5%
associate-/r/66.8%
associate-*l/73.5%
associate-/l*73.4%
associate-/r/66.8%
associate-*l/73.5%
associate-/l*73.6%
Simplified73.6%
Taylor expanded in eh around inf 99.4%
Taylor expanded in t around 0 90.6%
Final simplification89.5%
(FPCore (eh ew t) :precision binary64 (if (or (<= ew -2.8e+36) (not (<= ew 6.5e+48))) (fabs (* ew (cos t))) (fabs (+ (* eh (sin t)) (* ew (cos (atan (* eh (/ (tan t) (- ew))))))))))
double code(double eh, double ew, double t) {
double tmp;
if ((ew <= -2.8e+36) || !(ew <= 6.5e+48)) {
tmp = fabs((ew * cos(t)));
} else {
tmp = fabs(((eh * sin(t)) + (ew * cos(atan((eh * (tan(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) :: tmp
if ((ew <= (-2.8d+36)) .or. (.not. (ew <= 6.5d+48))) then
tmp = abs((ew * cos(t)))
else
tmp = abs(((eh * sin(t)) + (ew * cos(atan((eh * (tan(t) / -ew)))))))
end if
code = tmp
end function
public static double code(double eh, double ew, double t) {
double tmp;
if ((ew <= -2.8e+36) || !(ew <= 6.5e+48)) {
tmp = Math.abs((ew * Math.cos(t)));
} else {
tmp = Math.abs(((eh * Math.sin(t)) + (ew * Math.cos(Math.atan((eh * (Math.tan(t) / -ew)))))));
}
return tmp;
}
def code(eh, ew, t): tmp = 0 if (ew <= -2.8e+36) or not (ew <= 6.5e+48): tmp = math.fabs((ew * math.cos(t))) else: tmp = math.fabs(((eh * math.sin(t)) + (ew * math.cos(math.atan((eh * (math.tan(t) / -ew))))))) return tmp
function code(eh, ew, t) tmp = 0.0 if ((ew <= -2.8e+36) || !(ew <= 6.5e+48)) tmp = abs(Float64(ew * cos(t))); else tmp = abs(Float64(Float64(eh * sin(t)) + Float64(ew * cos(atan(Float64(eh * Float64(tan(t) / Float64(-ew)))))))); end return tmp end
function tmp_2 = code(eh, ew, t) tmp = 0.0; if ((ew <= -2.8e+36) || ~((ew <= 6.5e+48))) tmp = abs((ew * cos(t))); else tmp = abs(((eh * sin(t)) + (ew * cos(atan((eh * (tan(t) / -ew))))))); end tmp_2 = tmp; end
code[eh_, ew_, t_] := If[Or[LessEqual[ew, -2.8e+36], N[Not[LessEqual[ew, 6.5e+48]], $MachinePrecision]], N[Abs[N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision]], $MachinePrecision], N[Abs[N[(N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision] + N[(ew * N[Cos[N[ArcTan[N[(eh * N[(N[Tan[t], $MachinePrecision] / (-ew)), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;ew \leq -2.8 \cdot 10^{+36} \lor \neg \left(ew \leq 6.5 \cdot 10^{+48}\right):\\
\;\;\;\;\left|ew \cdot \cos t\right|\\
\mathbf{else}:\\
\;\;\;\;\left|eh \cdot \sin t + ew \cdot \cos \tan^{-1} \left(eh \cdot \frac{\tan t}{-ew}\right)\right|\\
\end{array}
\end{array}
if ew < -2.8000000000000001e36 or 6.49999999999999972e48 < ew Initial program 99.7%
sub-neg99.7%
associate-*l*99.7%
distribute-rgt-neg-in99.7%
cancel-sign-sub99.7%
associate-/l*99.7%
Simplified99.7%
cos-atan99.7%
hypot-1-def99.7%
clear-num99.7%
un-div-inv99.7%
add-sqr-sqrt52.6%
sqrt-unprod87.3%
sqr-neg87.3%
sqrt-unprod47.2%
add-sqr-sqrt99.7%
Applied egg-rr99.7%
Taylor expanded in eh around 0 98.9%
sin-mult88.0%
associate-*r/88.0%
Applied egg-rr88.1%
+-inverses88.0%
*-commutative88.0%
associate-/l*88.0%
mul0-lft88.0%
Simplified88.1%
if -2.8000000000000001e36 < ew < 6.49999999999999972e48Initial program 99.8%
sub-neg99.8%
associate-*l*99.8%
distribute-rgt-neg-in99.8%
cancel-sign-sub99.8%
associate-/l*99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan63.1%
associate-*r/62.6%
clear-num62.6%
un-div-inv62.5%
add-sqr-sqrt37.6%
sqrt-unprod52.4%
sqr-neg52.4%
sqrt-unprod24.7%
add-sqr-sqrt62.3%
hypot-1-def73.5%
clear-num73.6%
un-div-inv73.7%
Applied egg-rr73.7%
associate-*l*73.5%
associate-/r/66.8%
associate-*l/73.5%
associate-/l*73.4%
associate-/r/66.8%
associate-*l/73.5%
associate-/l*73.6%
Simplified73.6%
Taylor expanded in eh around -inf 99.4%
mul-1-neg99.4%
distribute-rgt-neg-in99.4%
Simplified99.4%
Taylor expanded in t around 0 90.6%
Final simplification89.5%
(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%
sub-neg99.8%
associate-*l*99.8%
distribute-rgt-neg-in99.8%
cancel-sign-sub99.8%
associate-/l*99.8%
Simplified99.8%
cos-atan99.8%
hypot-1-def99.8%
clear-num99.8%
un-div-inv99.8%
add-sqr-sqrt55.4%
sqrt-unprod93.3%
sqr-neg93.3%
sqrt-unprod44.4%
add-sqr-sqrt99.8%
Applied egg-rr99.8%
Taylor expanded in eh around 0 99.0%
sin-mult62.4%
associate-*r/62.4%
Applied egg-rr61.0%
+-inverses60.8%
*-commutative60.8%
associate-/l*60.8%
mul0-lft60.8%
Simplified61.0%
Final simplification61.0%
(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%
sub-neg99.8%
associate-*l*99.8%
distribute-rgt-neg-in99.8%
cancel-sign-sub99.8%
associate-/l*99.8%
Simplified99.8%
sin-mult62.4%
associate-*r/62.4%
Applied egg-rr60.8%
+-inverses60.8%
*-commutative60.8%
associate-/l*60.8%
mul0-lft60.8%
Simplified60.8%
Taylor expanded in t around 0 41.1%
add-cube-cbrt40.4%
pow340.5%
Applied egg-rr40.1%
Taylor expanded in t around 0 41.3%
pow-base-141.3%
*-lft-identity41.3%
Simplified41.3%
Final simplification41.3%
herbie shell --seed 2024039
(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)))))))