
(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 (let* ((t_1 (atan (/ (- eh) (/ ew (tan t)))))) (fabs (- (* eh (* (sin t) (sin t_1))) (* ew (* (cos t) (cos t_1)))))))
double code(double eh, double ew, double t) {
double t_1 = atan((-eh / (ew / tan(t))));
return fabs(((eh * (sin(t) * sin(t_1))) - (ew * (cos(t) * cos(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(((eh * (sin(t) * sin(t_1))) - (ew * (cos(t) * cos(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(((eh * (Math.sin(t) * Math.sin(t_1))) - (ew * (Math.cos(t) * Math.cos(t_1)))));
}
def code(eh, ew, t): t_1 = math.atan((-eh / (ew / math.tan(t)))) return math.fabs(((eh * (math.sin(t) * math.sin(t_1))) - (ew * (math.cos(t) * math.cos(t_1)))))
function code(eh, ew, t) t_1 = atan(Float64(Float64(-eh) / Float64(ew / tan(t)))) return abs(Float64(Float64(eh * Float64(sin(t) * sin(t_1))) - Float64(ew * Float64(cos(t) * cos(t_1))))) end
function tmp = code(eh, ew, t) t_1 = atan((-eh / (ew / tan(t)))); tmp = abs(((eh * (sin(t) * sin(t_1))) - (ew * (cos(t) * cos(t_1))))); end
code[eh_, ew_, t_] := Block[{t$95$1 = N[ArcTan[N[((-eh) / N[(ew / N[Tan[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, N[Abs[N[(N[(eh * N[(N[Sin[t], $MachinePrecision] * N[Sin[t$95$1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(ew * N[(N[Cos[t], $MachinePrecision] * N[Cos[t$95$1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \tan^{-1} \left(\frac{-eh}{\frac{ew}{\tan t}}\right)\\
\left|eh \cdot \left(\sin t \cdot \sin t_1\right) - ew \cdot \left(\cos t \cdot \cos t_1\right)\right|
\end{array}
\end{array}
Initial program 99.8%
fabs-neg99.8%
sub0-neg99.8%
sub-neg99.8%
+-commutative99.8%
associate--r+99.8%
Simplified99.8%
Final simplification99.8%
(FPCore (eh ew t) :precision binary64 (fabs (- (* ew (* (cos t) (/ 1.0 (hypot 1.0 (* (tan t) (/ eh ew)))))) (* eh (* (sin t) (sin (atan (/ (- eh) (/ ew (tan t))))))))))
double code(double eh, double ew, double t) {
return fabs(((ew * (cos(t) * (1.0 / hypot(1.0, (tan(t) * (eh / ew)))))) - (eh * (sin(t) * sin(atan((-eh / (ew / tan(t)))))))));
}
public static double code(double eh, double ew, double t) {
return Math.abs(((ew * (Math.cos(t) * (1.0 / Math.hypot(1.0, (Math.tan(t) * (eh / ew)))))) - (eh * (Math.sin(t) * Math.sin(Math.atan((-eh / (ew / Math.tan(t)))))))));
}
def code(eh, ew, t): return math.fabs(((ew * (math.cos(t) * (1.0 / math.hypot(1.0, (math.tan(t) * (eh / ew)))))) - (eh * (math.sin(t) * math.sin(math.atan((-eh / (ew / math.tan(t)))))))))
function code(eh, ew, t) return abs(Float64(Float64(ew * Float64(cos(t) * Float64(1.0 / hypot(1.0, Float64(tan(t) * Float64(eh / ew)))))) - Float64(eh * Float64(sin(t) * sin(atan(Float64(Float64(-eh) / Float64(ew / tan(t))))))))) end
function tmp = code(eh, ew, t) tmp = abs(((ew * (cos(t) * (1.0 / hypot(1.0, (tan(t) * (eh / ew)))))) - (eh * (sin(t) * sin(atan((-eh / (ew / tan(t))))))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(ew * N[(N[Cos[t], $MachinePrecision] * N[(1.0 / N[Sqrt[1.0 ^ 2 + N[(N[Tan[t], $MachinePrecision] * N[(eh / ew), $MachinePrecision]), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(eh * N[(N[Sin[t], $MachinePrecision] * N[Sin[N[ArcTan[N[((-eh) / N[(ew / N[Tan[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|ew \cdot \left(\cos t \cdot \frac{1}{\mathsf{hypot}\left(1, \tan t \cdot \frac{eh}{ew}\right)}\right) - eh \cdot \left(\sin t \cdot \sin \tan^{-1} \left(\frac{-eh}{\frac{ew}{\tan t}}\right)\right)\right|
\end{array}
Initial program 99.8%
fabs-neg99.8%
sub0-neg99.8%
sub-neg99.8%
+-commutative99.8%
associate--r+99.8%
Simplified99.8%
cos-atan99.8%
hypot-1-def99.8%
div-inv99.8%
add-sqr-sqrt51.8%
sqrt-unprod91.8%
sqr-neg91.8%
sqrt-unprod48.0%
add-sqr-sqrt99.8%
clear-num99.8%
Applied egg-rr99.8%
*-commutative99.8%
associate-*l/99.8%
associate-*r/99.8%
Simplified99.8%
Final simplification99.8%
(FPCore (eh ew t) :precision binary64 (fabs (- (* ew (cos t)) (* eh (* (sin t) (sin (atan (/ (- eh) (/ ew (tan t))))))))))
double code(double eh, double ew, double t) {
return fabs(((ew * cos(t)) - (eh * (sin(t) * 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 * cos(t)) - (eh * (sin(t) * sin(atan((-eh / (ew / tan(t)))))))))
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((-eh / (ew / Math.tan(t)))))))));
}
def code(eh, ew, t): return math.fabs(((ew * math.cos(t)) - (eh * (math.sin(t) * math.sin(math.atan((-eh / (ew / math.tan(t)))))))))
function code(eh, ew, t) return abs(Float64(Float64(ew * cos(t)) - Float64(eh * Float64(sin(t) * sin(atan(Float64(Float64(-eh) / Float64(ew / tan(t))))))))) end
function tmp = code(eh, ew, t) tmp = abs(((ew * cos(t)) - (eh * (sin(t) * sin(atan((-eh / (ew / tan(t))))))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision] - N[(eh * N[(N[Sin[t], $MachinePrecision] * N[Sin[N[ArcTan[N[((-eh) / N[(ew / N[Tan[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|ew \cdot \cos t - eh \cdot \left(\sin t \cdot \sin \tan^{-1} \left(\frac{-eh}{\frac{ew}{\tan t}}\right)\right)\right|
\end{array}
Initial program 99.8%
fabs-neg99.8%
sub0-neg99.8%
sub-neg99.8%
+-commutative99.8%
associate--r+99.8%
Simplified99.8%
cos-atan99.8%
hypot-1-def99.8%
div-inv99.8%
add-sqr-sqrt51.8%
sqrt-unprod91.8%
sqr-neg91.8%
sqrt-unprod48.0%
add-sqr-sqrt99.8%
clear-num99.8%
Applied egg-rr99.8%
*-commutative99.8%
associate-*l/99.8%
associate-*r/99.8%
Simplified99.8%
Taylor expanded in t around 0 98.7%
Final simplification98.7%
(FPCore (eh ew t) :precision binary64 (fabs (- (* ew (cos t)) (* eh (* (sin t) (sin (atan (/ (- t) (/ ew eh)))))))))
double code(double eh, double ew, double t) {
return fabs(((ew * cos(t)) - (eh * (sin(t) * sin(atan((-t / (ew / 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(((ew * cos(t)) - (eh * (sin(t) * sin(atan((-t / (ew / eh))))))))
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((-t / (ew / eh))))))));
}
def code(eh, ew, t): return math.fabs(((ew * math.cos(t)) - (eh * (math.sin(t) * math.sin(math.atan((-t / (ew / eh))))))))
function code(eh, ew, t) return abs(Float64(Float64(ew * cos(t)) - Float64(eh * Float64(sin(t) * sin(atan(Float64(Float64(-t) / Float64(ew / eh)))))))) end
function tmp = code(eh, ew, t) tmp = abs(((ew * cos(t)) - (eh * (sin(t) * sin(atan((-t / (ew / eh)))))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision] - N[(eh * N[(N[Sin[t], $MachinePrecision] * N[Sin[N[ArcTan[N[((-t) / N[(ew / eh), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|ew \cdot \cos t - eh \cdot \left(\sin t \cdot \sin \tan^{-1} \left(\frac{-t}{\frac{ew}{eh}}\right)\right)\right|
\end{array}
Initial program 99.8%
fabs-neg99.8%
sub0-neg99.8%
sub-neg99.8%
+-commutative99.8%
associate--r+99.8%
Simplified99.8%
cos-atan99.8%
hypot-1-def99.8%
div-inv99.8%
add-sqr-sqrt51.8%
sqrt-unprod91.8%
sqr-neg91.8%
sqrt-unprod48.0%
add-sqr-sqrt99.8%
clear-num99.8%
Applied egg-rr99.8%
*-commutative99.8%
associate-*l/99.8%
associate-*r/99.8%
Simplified99.8%
Taylor expanded in t around 0 98.7%
Taylor expanded in t around 0 98.7%
mul-1-neg98.7%
associate-/l*98.7%
distribute-neg-frac98.7%
Simplified98.7%
Taylor expanded in ew around 0 98.7%
Final simplification98.7%
(FPCore (eh ew t) :precision binary64 (fabs (- (* ew (cos t)) (* eh (* (sin t) (sin (atan (* eh (/ t ew)))))))))
double code(double eh, double ew, double t) {
return fabs(((ew * cos(t)) - (eh * (sin(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 * cos(t)) - (eh * (sin(t) * sin(atan((eh * (t / 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((eh * (t / ew))))))));
}
def code(eh, ew, t): return math.fabs(((ew * math.cos(t)) - (eh * (math.sin(t) * math.sin(math.atan((eh * (t / ew))))))))
function code(eh, ew, t) return abs(Float64(Float64(ew * cos(t)) - Float64(eh * Float64(sin(t) * sin(atan(Float64(eh * Float64(t / ew)))))))) end
function tmp = code(eh, ew, t) tmp = abs(((ew * cos(t)) - (eh * (sin(t) * sin(atan((eh * (t / ew)))))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision] - N[(eh * N[(N[Sin[t], $MachinePrecision] * N[Sin[N[ArcTan[N[(eh * N[(t / ew), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|ew \cdot \cos t - eh \cdot \left(\sin t \cdot \sin \tan^{-1} \left(eh \cdot \frac{t}{ew}\right)\right)\right|
\end{array}
Initial program 99.8%
fabs-neg99.8%
sub0-neg99.8%
sub-neg99.8%
+-commutative99.8%
associate--r+99.8%
Simplified99.8%
cos-atan99.8%
hypot-1-def99.8%
div-inv99.8%
add-sqr-sqrt51.8%
sqrt-unprod91.8%
sqr-neg91.8%
sqrt-unprod48.0%
add-sqr-sqrt99.8%
clear-num99.8%
Applied egg-rr99.8%
*-commutative99.8%
associate-*l/99.8%
associate-*r/99.8%
Simplified99.8%
Taylor expanded in t around 0 98.7%
Taylor expanded in t around 0 98.7%
mul-1-neg98.7%
associate-/l*98.7%
distribute-neg-frac98.7%
Simplified98.7%
associate-/r/98.7%
add-sqr-sqrt51.6%
sqrt-unprod95.7%
sqr-neg95.7%
sqrt-unprod47.0%
add-sqr-sqrt98.7%
Applied egg-rr98.7%
Final simplification98.7%
(FPCore (eh ew t) :precision binary64 (if (or (<= eh -2.02e-134) (not (<= eh 1.45e-93))) (fabs (- ew (* eh (* (sin t) (sin (atan (/ (- t) (/ ew eh)))))))) (fabs (* ew (cos t)))))
double code(double eh, double ew, double t) {
double tmp;
if ((eh <= -2.02e-134) || !(eh <= 1.45e-93)) {
tmp = fabs((ew - (eh * (sin(t) * sin(atan((-t / (ew / eh))))))));
} else {
tmp = fabs((ew * cos(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 ((eh <= (-2.02d-134)) .or. (.not. (eh <= 1.45d-93))) then
tmp = abs((ew - (eh * (sin(t) * sin(atan((-t / (ew / eh))))))))
else
tmp = abs((ew * cos(t)))
end if
code = tmp
end function
public static double code(double eh, double ew, double t) {
double tmp;
if ((eh <= -2.02e-134) || !(eh <= 1.45e-93)) {
tmp = Math.abs((ew - (eh * (Math.sin(t) * Math.sin(Math.atan((-t / (ew / eh))))))));
} else {
tmp = Math.abs((ew * Math.cos(t)));
}
return tmp;
}
def code(eh, ew, t): tmp = 0 if (eh <= -2.02e-134) or not (eh <= 1.45e-93): tmp = math.fabs((ew - (eh * (math.sin(t) * math.sin(math.atan((-t / (ew / eh)))))))) else: tmp = math.fabs((ew * math.cos(t))) return tmp
function code(eh, ew, t) tmp = 0.0 if ((eh <= -2.02e-134) || !(eh <= 1.45e-93)) tmp = abs(Float64(ew - Float64(eh * Float64(sin(t) * sin(atan(Float64(Float64(-t) / Float64(ew / eh)))))))); else tmp = abs(Float64(ew * cos(t))); end return tmp end
function tmp_2 = code(eh, ew, t) tmp = 0.0; if ((eh <= -2.02e-134) || ~((eh <= 1.45e-93))) tmp = abs((ew - (eh * (sin(t) * sin(atan((-t / (ew / eh)))))))); else tmp = abs((ew * cos(t))); end tmp_2 = tmp; end
code[eh_, ew_, t_] := If[Or[LessEqual[eh, -2.02e-134], N[Not[LessEqual[eh, 1.45e-93]], $MachinePrecision]], N[Abs[N[(ew - N[(eh * N[(N[Sin[t], $MachinePrecision] * N[Sin[N[ArcTan[N[((-t) / N[(ew / eh), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], N[Abs[N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;eh \leq -2.02 \cdot 10^{-134} \lor \neg \left(eh \leq 1.45 \cdot 10^{-93}\right):\\
\;\;\;\;\left|ew - eh \cdot \left(\sin t \cdot \sin \tan^{-1} \left(\frac{-t}{\frac{ew}{eh}}\right)\right)\right|\\
\mathbf{else}:\\
\;\;\;\;\left|ew \cdot \cos t\right|\\
\end{array}
\end{array}
if eh < -2.0199999999999999e-134 or 1.4499999999999999e-93 < eh Initial program 99.8%
fabs-neg99.8%
sub0-neg99.8%
sub-neg99.8%
+-commutative99.8%
associate--r+99.8%
Simplified99.8%
cos-atan99.8%
hypot-1-def99.8%
div-inv99.8%
add-sqr-sqrt54.1%
sqrt-unprod88.3%
sqr-neg88.3%
sqrt-unprod45.7%
add-sqr-sqrt99.8%
clear-num99.8%
Applied egg-rr99.8%
*-commutative99.8%
associate-*l/99.8%
associate-*r/99.8%
Simplified99.8%
Taylor expanded in t around 0 98.9%
Taylor expanded in t around 0 98.9%
mul-1-neg98.9%
associate-/l*98.9%
distribute-neg-frac98.9%
Simplified98.9%
Taylor expanded in t around 0 87.7%
if -2.0199999999999999e-134 < eh < 1.4499999999999999e-93Initial program 99.8%
fabs-neg99.8%
sub0-neg99.8%
sub-neg99.8%
+-commutative99.8%
associate--r+99.8%
Simplified99.8%
cos-atan99.8%
hypot-1-def99.8%
div-inv99.8%
add-sqr-sqrt47.7%
sqrt-unprod98.2%
sqr-neg98.2%
sqrt-unprod52.1%
add-sqr-sqrt99.8%
clear-num99.8%
Applied egg-rr99.8%
*-commutative99.8%
associate-*l/99.8%
associate-*r/99.8%
Simplified99.8%
Taylor expanded in t around 0 98.2%
Applied egg-rr98.0%
+-inverses98.0%
*-commutative98.0%
associate-/l*98.0%
div098.0%
Simplified98.0%
Taylor expanded in ew around 0 98.0%
Final simplification91.3%
(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%
fabs-neg99.8%
sub0-neg99.8%
sub-neg99.8%
+-commutative99.8%
associate--r+99.8%
Simplified99.8%
cos-atan99.8%
hypot-1-def99.8%
div-inv99.8%
add-sqr-sqrt51.8%
sqrt-unprod91.8%
sqr-neg91.8%
sqrt-unprod48.0%
add-sqr-sqrt99.8%
clear-num99.8%
Applied egg-rr99.8%
*-commutative99.8%
associate-*l/99.8%
associate-*r/99.8%
Simplified99.8%
Taylor expanded in t around 0 98.7%
Applied egg-rr65.4%
+-inverses65.4%
*-commutative65.4%
associate-/l*65.4%
div065.4%
Simplified65.4%
Taylor expanded in ew around 0 65.4%
Final simplification65.4%
(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%
fabs-neg99.8%
sub0-neg99.8%
sub-neg99.8%
+-commutative99.8%
associate--r+99.8%
Simplified99.8%
cos-atan99.8%
hypot-1-def99.8%
div-inv99.8%
add-sqr-sqrt51.8%
sqrt-unprod91.8%
sqr-neg91.8%
sqrt-unprod48.0%
add-sqr-sqrt99.8%
clear-num99.8%
Applied egg-rr99.8%
*-commutative99.8%
associate-*l/99.8%
associate-*r/99.8%
Simplified99.8%
Taylor expanded in t around 0 98.7%
Applied egg-rr65.4%
+-inverses65.4%
*-commutative65.4%
associate-/l*65.4%
div065.4%
Simplified65.4%
Taylor expanded in t around 0 45.3%
Final simplification45.3%
herbie shell --seed 2023192
(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)))))))