
(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 (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-sqrt44.8%
sqrt-unprod92.3%
sqr-neg92.3%
sqrt-unprod55.0%
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) (cos (atan (/ (- eh) (/ ew (tan t))))))) (* eh (sin t)))))
double code(double eh, double ew, double t) {
return fabs(((ew * (cos(t) * cos(atan((-eh / (ew / tan(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(((ew * (cos(t) * cos(atan((-eh / (ew / tan(t))))))) - (eh * sin(t))))
end function
public static double code(double eh, double ew, double t) {
return Math.abs(((ew * (Math.cos(t) * Math.cos(Math.atan((-eh / (ew / Math.tan(t))))))) - (eh * Math.sin(t))));
}
def code(eh, ew, t): return math.fabs(((ew * (math.cos(t) * math.cos(math.atan((-eh / (ew / math.tan(t))))))) - (eh * math.sin(t))))
function code(eh, ew, t) return abs(Float64(Float64(ew * Float64(cos(t) * cos(atan(Float64(Float64(-eh) / Float64(ew / tan(t))))))) - Float64(eh * sin(t)))) end
function tmp = code(eh, ew, t) tmp = abs(((ew * (cos(t) * cos(atan((-eh / (ew / tan(t))))))) - (eh * sin(t)))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(ew * N[(N[Cos[t], $MachinePrecision] * N[Cos[N[ArcTan[N[((-eh) / N[(ew / N[Tan[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(eh * N[Sin[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|ew \cdot \left(\cos t \cdot \cos \tan^{-1} \left(\frac{-eh}{\frac{ew}{\tan t}}\right)\right) - eh \cdot \sin 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%
associate-*r*99.8%
sin-atan84.6%
associate-*r/80.8%
div-inv80.8%
add-sqr-sqrt36.1%
sqrt-unprod65.0%
sqr-neg65.0%
sqrt-unprod44.3%
add-sqr-sqrt80.2%
clear-num80.2%
hypot-1-def84.1%
div-inv84.2%
Applied egg-rr84.2%
*-commutative84.2%
Simplified84.2%
Taylor expanded in eh around inf 98.7%
Final simplification98.7%
(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-sqrt44.8%
sqrt-unprod92.3%
sqr-neg92.3%
sqrt-unprod55.0%
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 98.9%
Taylor expanded in ew around 0 98.9%
Final simplification98.9%
(FPCore (eh ew t) :precision binary64 (if (or (<= ew -1.35e+75) (not (<= ew 5.7e-11))) (fabs (* ew (cos t))) (fabs (- (* ew (cos (atan (* (tan t) (/ (- eh) ew))))) (* eh (sin t))))))
double code(double eh, double ew, double t) {
double tmp;
if ((ew <= -1.35e+75) || !(ew <= 5.7e-11)) {
tmp = fabs((ew * cos(t)));
} else {
tmp = fabs(((ew * cos(atan((tan(t) * (-eh / 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 <= (-1.35d+75)) .or. (.not. (ew <= 5.7d-11))) then
tmp = abs((ew * cos(t)))
else
tmp = abs(((ew * cos(atan((tan(t) * (-eh / ew))))) - (eh * sin(t))))
end if
code = tmp
end function
public static double code(double eh, double ew, double t) {
double tmp;
if ((ew <= -1.35e+75) || !(ew <= 5.7e-11)) {
tmp = Math.abs((ew * Math.cos(t)));
} else {
tmp = Math.abs(((ew * Math.cos(Math.atan((Math.tan(t) * (-eh / ew))))) - (eh * Math.sin(t))));
}
return tmp;
}
def code(eh, ew, t): tmp = 0 if (ew <= -1.35e+75) or not (ew <= 5.7e-11): tmp = math.fabs((ew * math.cos(t))) else: tmp = math.fabs(((ew * math.cos(math.atan((math.tan(t) * (-eh / ew))))) - (eh * math.sin(t)))) return tmp
function code(eh, ew, t) tmp = 0.0 if ((ew <= -1.35e+75) || !(ew <= 5.7e-11)) tmp = abs(Float64(ew * cos(t))); else tmp = abs(Float64(Float64(ew * cos(atan(Float64(tan(t) * Float64(Float64(-eh) / ew))))) - Float64(eh * sin(t)))); end return tmp end
function tmp_2 = code(eh, ew, t) tmp = 0.0; if ((ew <= -1.35e+75) || ~((ew <= 5.7e-11))) tmp = abs((ew * cos(t))); else tmp = abs(((ew * cos(atan((tan(t) * (-eh / ew))))) - (eh * sin(t)))); end tmp_2 = tmp; end
code[eh_, ew_, t_] := If[Or[LessEqual[ew, -1.35e+75], N[Not[LessEqual[ew, 5.7e-11]], $MachinePrecision]], N[Abs[N[(ew * N[Cos[t], $MachinePrecision]), $MachinePrecision]], $MachinePrecision], N[Abs[N[(N[(ew * N[Cos[N[ArcTan[N[(N[Tan[t], $MachinePrecision] * N[((-eh) / 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 -1.35 \cdot 10^{+75} \lor \neg \left(ew \leq 5.7 \cdot 10^{-11}\right):\\
\;\;\;\;\left|ew \cdot \cos t\right|\\
\mathbf{else}:\\
\;\;\;\;\left|ew \cdot \cos \tan^{-1} \left(\tan t \cdot \frac{-eh}{ew}\right) - eh \cdot \sin t\right|\\
\end{array}
\end{array}
if ew < -1.34999999999999999e75 or 5.6999999999999997e-11 < ew 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-sqrt42.7%
sqrt-unprod85.0%
sqr-neg85.0%
sqrt-unprod57.2%
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 99.2%
Taylor expanded in ew around 0 99.2%
Applied egg-rr86.7%
+-inverses86.7%
*-commutative86.7%
associate-/l*86.7%
div086.7%
Simplified86.7%
if -1.34999999999999999e75 < ew < 5.6999999999999997e-11Initial program 99.8%
fabs-neg99.8%
sub0-neg99.8%
sub-neg99.8%
+-commutative99.8%
associate--r+99.8%
Simplified99.8%
associate-*r*99.8%
sin-atan70.9%
associate-*r/68.5%
div-inv68.4%
add-sqr-sqrt32.8%
sqrt-unprod57.0%
sqr-neg57.0%
sqrt-unprod34.9%
add-sqr-sqrt67.8%
clear-num67.8%
hypot-1-def75.4%
div-inv75.4%
Applied egg-rr75.5%
*-commutative75.5%
Simplified75.5%
Taylor expanded in t around 0 68.5%
*-commutative68.5%
mul-1-neg68.5%
associate-*r/68.5%
*-commutative68.5%
distribute-rgt-neg-in68.5%
Simplified68.5%
Taylor expanded in eh around inf 91.4%
Final simplification89.2%
(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-sqrt44.8%
sqrt-unprod92.3%
sqr-neg92.3%
sqrt-unprod55.0%
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 98.9%
Taylor expanded in ew around 0 98.9%
Applied egg-rr62.4%
+-inverses62.4%
*-commutative62.4%
associate-/l*62.4%
div062.4%
Simplified62.4%
Final simplification62.4%
(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-sqrt44.8%
sqrt-unprod92.3%
sqr-neg92.3%
sqrt-unprod55.0%
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 98.9%
Applied egg-rr62.4%
+-inverses62.4%
*-commutative62.4%
associate-/l*62.4%
div062.4%
Simplified62.4%
Taylor expanded in t around 0 40.0%
Final simplification40.0%
herbie shell --seed 2023182
(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)))))))