
(FPCore (eh ew t) :precision binary64 (let* ((t_1 (atan (/ (/ eh ew) (tan t))))) (fabs (+ (* (* ew (sin t)) (cos t_1)) (* (* eh (cos t)) (sin t_1))))))
double code(double eh, double ew, double t) {
double t_1 = atan(((eh / ew) / tan(t)));
return fabs((((ew * sin(t)) * cos(t_1)) + ((eh * cos(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 / ew) / tan(t)))
code = abs((((ew * sin(t)) * cos(t_1)) + ((eh * cos(t)) * sin(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((((ew * Math.sin(t)) * Math.cos(t_1)) + ((eh * Math.cos(t)) * Math.sin(t_1))));
}
def code(eh, ew, t): t_1 = math.atan(((eh / ew) / math.tan(t))) return math.fabs((((ew * math.sin(t)) * math.cos(t_1)) + ((eh * math.cos(t)) * math.sin(t_1))))
function code(eh, ew, t) t_1 = atan(Float64(Float64(eh / ew) / tan(t))) return abs(Float64(Float64(Float64(ew * sin(t)) * cos(t_1)) + Float64(Float64(eh * cos(t)) * sin(t_1)))) end
function tmp = code(eh, ew, t) t_1 = atan(((eh / ew) / tan(t))); tmp = abs((((ew * sin(t)) * cos(t_1)) + ((eh * cos(t)) * sin(t_1)))); end
code[eh_, ew_, t_] := Block[{t$95$1 = N[ArcTan[N[(N[(eh / ew), $MachinePrecision] / N[Tan[t], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, N[Abs[N[(N[(N[(ew * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Cos[t$95$1], $MachinePrecision]), $MachinePrecision] + N[(N[(eh * N[Cos[t], $MachinePrecision]), $MachinePrecision] * N[Sin[t$95$1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \tan^{-1} \left(\frac{\frac{eh}{ew}}{\tan t}\right)\\
\left|\left(ew \cdot \sin t\right) \cdot \cos t_1 + \left(eh \cdot \cos t\right) \cdot \sin t_1\right|
\end{array}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 10 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (eh ew t) :precision binary64 (let* ((t_1 (atan (/ (/ eh ew) (tan t))))) (fabs (+ (* (* ew (sin t)) (cos t_1)) (* (* eh (cos t)) (sin t_1))))))
double code(double eh, double ew, double t) {
double t_1 = atan(((eh / ew) / tan(t)));
return fabs((((ew * sin(t)) * cos(t_1)) + ((eh * cos(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 / ew) / tan(t)))
code = abs((((ew * sin(t)) * cos(t_1)) + ((eh * cos(t)) * sin(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((((ew * Math.sin(t)) * Math.cos(t_1)) + ((eh * Math.cos(t)) * Math.sin(t_1))));
}
def code(eh, ew, t): t_1 = math.atan(((eh / ew) / math.tan(t))) return math.fabs((((ew * math.sin(t)) * math.cos(t_1)) + ((eh * math.cos(t)) * math.sin(t_1))))
function code(eh, ew, t) t_1 = atan(Float64(Float64(eh / ew) / tan(t))) return abs(Float64(Float64(Float64(ew * sin(t)) * cos(t_1)) + Float64(Float64(eh * cos(t)) * sin(t_1)))) end
function tmp = code(eh, ew, t) t_1 = atan(((eh / ew) / tan(t))); tmp = abs((((ew * sin(t)) * cos(t_1)) + ((eh * cos(t)) * sin(t_1)))); end
code[eh_, ew_, t_] := Block[{t$95$1 = N[ArcTan[N[(N[(eh / ew), $MachinePrecision] / N[Tan[t], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, N[Abs[N[(N[(N[(ew * N[Sin[t], $MachinePrecision]), $MachinePrecision] * N[Cos[t$95$1], $MachinePrecision]), $MachinePrecision] + N[(N[(eh * N[Cos[t], $MachinePrecision]), $MachinePrecision] * N[Sin[t$95$1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \tan^{-1} \left(\frac{\frac{eh}{ew}}{\tan t}\right)\\
\left|\left(ew \cdot \sin t\right) \cdot \cos t_1 + \left(eh \cdot \cos t\right) \cdot \sin t_1\right|
\end{array}
\end{array}
(FPCore (eh ew t)
:precision binary64
(let* ((t_1 (/ (/ eh (tan t)) ew)))
(fabs
(+
(/ (* (sin t) ew) (hypot 1.0 t_1))
(* eh (* (cos t) (sin (atan t_1))))))))
double code(double eh, double ew, double t) {
double t_1 = (eh / tan(t)) / ew;
return fabs((((sin(t) * ew) / hypot(1.0, t_1)) + (eh * (cos(t) * sin(atan(t_1))))));
}
public static double code(double eh, double ew, double t) {
double t_1 = (eh / Math.tan(t)) / ew;
return Math.abs((((Math.sin(t) * ew) / Math.hypot(1.0, t_1)) + (eh * (Math.cos(t) * Math.sin(Math.atan(t_1))))));
}
def code(eh, ew, t): t_1 = (eh / math.tan(t)) / ew return math.fabs((((math.sin(t) * ew) / math.hypot(1.0, t_1)) + (eh * (math.cos(t) * math.sin(math.atan(t_1))))))
function code(eh, ew, t) t_1 = Float64(Float64(eh / tan(t)) / ew) return abs(Float64(Float64(Float64(sin(t) * ew) / hypot(1.0, t_1)) + Float64(eh * Float64(cos(t) * sin(atan(t_1)))))) end
function tmp = code(eh, ew, t) t_1 = (eh / tan(t)) / ew; tmp = abs((((sin(t) * ew) / hypot(1.0, t_1)) + (eh * (cos(t) * sin(atan(t_1)))))); end
code[eh_, ew_, t_] := Block[{t$95$1 = N[(N[(eh / N[Tan[t], $MachinePrecision]), $MachinePrecision] / ew), $MachinePrecision]}, N[Abs[N[(N[(N[(N[Sin[t], $MachinePrecision] * ew), $MachinePrecision] / N[Sqrt[1.0 ^ 2 + t$95$1 ^ 2], $MachinePrecision]), $MachinePrecision] + N[(eh * N[(N[Cos[t], $MachinePrecision] * N[Sin[N[ArcTan[t$95$1], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \frac{\frac{eh}{\tan t}}{ew}\\
\left|\frac{\sin t \cdot ew}{\mathsf{hypot}\left(1, t_1\right)} + eh \cdot \left(\cos t \cdot \sin \tan^{-1} t_1\right)\right|
\end{array}
\end{array}
Initial program 99.8%
associate-*l*99.8%
fma-def99.8%
*-commutative99.8%
associate-*l*99.8%
Simplified99.8%
expm1-log1p-u99.8%
expm1-udef85.3%
cos-atan85.3%
un-div-inv85.3%
hypot-1-def85.3%
associate-/l/85.3%
*-commutative85.3%
Applied egg-rr85.3%
expm1-def99.8%
expm1-log1p99.8%
associate-/r*99.8%
Simplified99.8%
fma-udef99.8%
associate-*r/99.8%
*-commutative99.8%
associate-/r*99.8%
*-commutative99.8%
associate-/r*99.8%
*-commutative99.8%
associate-*l*99.8%
*-commutative99.8%
associate-/l/99.8%
associate-/r*99.8%
Applied egg-rr99.8%
Final simplification99.8%
(FPCore (eh ew t)
:precision binary64
(fabs
(+
(/ (* (sin t) ew) (hypot 1.0 (/ (/ eh (tan t)) ew)))
(*
eh
(*
(cos t)
(sin (atan (/ (+ (* -0.3333333333333333 (* t eh)) (/ eh t)) ew))))))))
double code(double eh, double ew, double t) {
return fabs((((sin(t) * ew) / hypot(1.0, ((eh / tan(t)) / ew))) + (eh * (cos(t) * sin(atan((((-0.3333333333333333 * (t * eh)) + (eh / t)) / ew)))))));
}
public static double code(double eh, double ew, double t) {
return Math.abs((((Math.sin(t) * ew) / Math.hypot(1.0, ((eh / Math.tan(t)) / ew))) + (eh * (Math.cos(t) * Math.sin(Math.atan((((-0.3333333333333333 * (t * eh)) + (eh / t)) / ew)))))));
}
def code(eh, ew, t): return math.fabs((((math.sin(t) * ew) / math.hypot(1.0, ((eh / math.tan(t)) / ew))) + (eh * (math.cos(t) * math.sin(math.atan((((-0.3333333333333333 * (t * eh)) + (eh / t)) / ew)))))))
function code(eh, ew, t) return abs(Float64(Float64(Float64(sin(t) * ew) / hypot(1.0, Float64(Float64(eh / tan(t)) / ew))) + Float64(eh * Float64(cos(t) * sin(atan(Float64(Float64(Float64(-0.3333333333333333 * Float64(t * eh)) + Float64(eh / t)) / ew))))))) end
function tmp = code(eh, ew, t) tmp = abs((((sin(t) * ew) / hypot(1.0, ((eh / tan(t)) / ew))) + (eh * (cos(t) * sin(atan((((-0.3333333333333333 * (t * eh)) + (eh / t)) / ew))))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(N[(N[Sin[t], $MachinePrecision] * ew), $MachinePrecision] / N[Sqrt[1.0 ^ 2 + N[(N[(eh / N[Tan[t], $MachinePrecision]), $MachinePrecision] / ew), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision] + N[(eh * N[(N[Cos[t], $MachinePrecision] * N[Sin[N[ArcTan[N[(N[(N[(-0.3333333333333333 * N[(t * eh), $MachinePrecision]), $MachinePrecision] + N[(eh / t), $MachinePrecision]), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\frac{\sin t \cdot ew}{\mathsf{hypot}\left(1, \frac{\frac{eh}{\tan t}}{ew}\right)} + eh \cdot \left(\cos t \cdot \sin \tan^{-1} \left(\frac{-0.3333333333333333 \cdot \left(t \cdot eh\right) + \frac{eh}{t}}{ew}\right)\right)\right|
\end{array}
Initial program 99.8%
associate-*l*99.8%
fma-def99.8%
*-commutative99.8%
associate-*l*99.8%
Simplified99.8%
expm1-log1p-u99.8%
expm1-udef85.3%
cos-atan85.3%
un-div-inv85.3%
hypot-1-def85.3%
associate-/l/85.3%
*-commutative85.3%
Applied egg-rr85.3%
expm1-def99.8%
expm1-log1p99.8%
associate-/r*99.8%
Simplified99.8%
fma-udef99.8%
associate-*r/99.8%
*-commutative99.8%
associate-/r*99.8%
*-commutative99.8%
associate-/r*99.8%
*-commutative99.8%
associate-*l*99.8%
*-commutative99.8%
associate-/l/99.8%
associate-/r*99.8%
Applied egg-rr99.8%
Taylor expanded in t around 0 99.3%
Final simplification99.3%
(FPCore (eh ew t) :precision binary64 (fabs (fma eh (* (cos t) (sin (atan (/ (/ eh ew) (tan t))))) (* (sin t) ew))))
double code(double eh, double ew, double t) {
return fabs(fma(eh, (cos(t) * sin(atan(((eh / ew) / tan(t))))), (sin(t) * ew)));
}
function code(eh, ew, t) return abs(fma(eh, Float64(cos(t) * sin(atan(Float64(Float64(eh / ew) / tan(t))))), Float64(sin(t) * ew))) end
code[eh_, ew_, t_] := N[Abs[N[(eh * N[(N[Cos[t], $MachinePrecision] * N[Sin[N[ArcTan[N[(N[(eh / ew), $MachinePrecision] / N[Tan[t], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(N[Sin[t], $MachinePrecision] * ew), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\mathsf{fma}\left(eh, \cos t \cdot \sin \tan^{-1} \left(\frac{\frac{eh}{ew}}{\tan t}\right), \sin t \cdot ew\right)\right|
\end{array}
Initial program 99.8%
associate-*l*99.8%
fma-def99.8%
*-commutative99.8%
associate-*l*99.8%
Simplified99.8%
expm1-log1p-u99.8%
expm1-udef85.3%
cos-atan85.3%
un-div-inv85.3%
hypot-1-def85.3%
associate-/l/85.3%
*-commutative85.3%
Applied egg-rr85.3%
expm1-def99.8%
expm1-log1p99.8%
associate-/r*99.8%
Simplified99.8%
Taylor expanded in ew around inf 98.6%
*-commutative98.6%
fma-def98.6%
associate-/r*98.6%
*-commutative98.6%
Simplified98.6%
Final simplification98.6%
(FPCore (eh ew t) :precision binary64 (fabs (+ (* (sin t) ew) (* eh (* (cos t) (sin (atan (/ eh (* ew (tan t))))))))))
double code(double eh, double ew, double t) {
return fabs(((sin(t) * ew) + (eh * (cos(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(((sin(t) * ew) + (eh * (cos(t) * sin(atan((eh / (ew * tan(t)))))))))
end function
public static double code(double eh, double ew, double t) {
return Math.abs(((Math.sin(t) * ew) + (eh * (Math.cos(t) * Math.sin(Math.atan((eh / (ew * Math.tan(t)))))))));
}
def code(eh, ew, t): return math.fabs(((math.sin(t) * ew) + (eh * (math.cos(t) * math.sin(math.atan((eh / (ew * math.tan(t)))))))))
function code(eh, ew, t) return abs(Float64(Float64(sin(t) * ew) + Float64(eh * Float64(cos(t) * sin(atan(Float64(eh / Float64(ew * tan(t))))))))) end
function tmp = code(eh, ew, t) tmp = abs(((sin(t) * ew) + (eh * (cos(t) * sin(atan((eh / (ew * tan(t))))))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(N[Sin[t], $MachinePrecision] * ew), $MachinePrecision] + N[(eh * N[(N[Cos[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|\sin t \cdot ew + eh \cdot \left(\cos t \cdot \sin \tan^{-1} \left(\frac{eh}{ew \cdot \tan t}\right)\right)\right|
\end{array}
Initial program 99.8%
associate-*l*99.8%
fma-def99.8%
*-commutative99.8%
associate-*l*99.8%
Simplified99.8%
expm1-log1p-u99.8%
expm1-udef85.3%
cos-atan85.3%
un-div-inv85.3%
hypot-1-def85.3%
associate-/l/85.3%
*-commutative85.3%
Applied egg-rr85.3%
expm1-def99.8%
expm1-log1p99.8%
associate-/r*99.8%
Simplified99.8%
Taylor expanded in ew around inf 98.6%
Final simplification98.6%
(FPCore (eh ew t) :precision binary64 (fabs (+ (* (sin t) ew) (* (cos t) (* eh (sin (atan (/ eh (* ew (tan t))))))))))
double code(double eh, double ew, double t) {
return fabs(((sin(t) * ew) + (cos(t) * (eh * 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(((sin(t) * ew) + (cos(t) * (eh * sin(atan((eh / (ew * tan(t)))))))))
end function
public static double code(double eh, double ew, double t) {
return Math.abs(((Math.sin(t) * ew) + (Math.cos(t) * (eh * Math.sin(Math.atan((eh / (ew * Math.tan(t)))))))));
}
def code(eh, ew, t): return math.fabs(((math.sin(t) * ew) + (math.cos(t) * (eh * math.sin(math.atan((eh / (ew * math.tan(t)))))))))
function code(eh, ew, t) return abs(Float64(Float64(sin(t) * ew) + Float64(cos(t) * Float64(eh * sin(atan(Float64(eh / Float64(ew * tan(t))))))))) end
function tmp = code(eh, ew, t) tmp = abs(((sin(t) * ew) + (cos(t) * (eh * sin(atan((eh / (ew * tan(t))))))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(N[Sin[t], $MachinePrecision] * ew), $MachinePrecision] + N[(N[Cos[t], $MachinePrecision] * N[(eh * N[Sin[N[ArcTan[N[(eh / N[(ew * N[Tan[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\sin t \cdot ew + \cos t \cdot \left(eh \cdot \sin \tan^{-1} \left(\frac{eh}{ew \cdot \tan t}\right)\right)\right|
\end{array}
Initial program 99.8%
associate-*l*99.8%
fma-def99.8%
*-commutative99.8%
associate-*l*99.8%
Simplified99.8%
expm1-log1p-u99.8%
expm1-udef85.3%
cos-atan85.3%
un-div-inv85.3%
hypot-1-def85.3%
associate-/l/85.3%
*-commutative85.3%
Applied egg-rr85.3%
expm1-def99.8%
expm1-log1p99.8%
associate-/r*99.8%
Simplified99.8%
Taylor expanded in ew around inf 98.6%
expm1-log1p-u77.9%
expm1-udef61.4%
*-commutative61.4%
associate-*l*61.4%
*-commutative61.4%
Applied egg-rr61.4%
expm1-def77.9%
expm1-log1p98.6%
*-commutative98.6%
*-commutative98.6%
Simplified98.6%
Final simplification98.6%
(FPCore (eh ew t)
:precision binary64
(let* ((t_1 (/ eh (* t ew))) (t_2 (* (sin t) ew)))
(if (or (<= t -2e+32) (not (<= t 7e+63)))
(fabs
(+
t_2
(*
eh
(*
(cos t)
(sin (atan (+ (* -0.3333333333333333 (/ (* t eh) ew)) t_1)))))))
(fabs (+ t_2 (* eh (* (cos t) (sin (atan t_1)))))))))
double code(double eh, double ew, double t) {
double t_1 = eh / (t * ew);
double t_2 = sin(t) * ew;
double tmp;
if ((t <= -2e+32) || !(t <= 7e+63)) {
tmp = fabs((t_2 + (eh * (cos(t) * sin(atan(((-0.3333333333333333 * ((t * eh) / ew)) + t_1)))))));
} else {
tmp = fabs((t_2 + (eh * (cos(t) * sin(atan(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) :: t_2
real(8) :: tmp
t_1 = eh / (t * ew)
t_2 = sin(t) * ew
if ((t <= (-2d+32)) .or. (.not. (t <= 7d+63))) then
tmp = abs((t_2 + (eh * (cos(t) * sin(atan((((-0.3333333333333333d0) * ((t * eh) / ew)) + t_1)))))))
else
tmp = abs((t_2 + (eh * (cos(t) * sin(atan(t_1))))))
end if
code = tmp
end function
public static double code(double eh, double ew, double t) {
double t_1 = eh / (t * ew);
double t_2 = Math.sin(t) * ew;
double tmp;
if ((t <= -2e+32) || !(t <= 7e+63)) {
tmp = Math.abs((t_2 + (eh * (Math.cos(t) * Math.sin(Math.atan(((-0.3333333333333333 * ((t * eh) / ew)) + t_1)))))));
} else {
tmp = Math.abs((t_2 + (eh * (Math.cos(t) * Math.sin(Math.atan(t_1))))));
}
return tmp;
}
def code(eh, ew, t): t_1 = eh / (t * ew) t_2 = math.sin(t) * ew tmp = 0 if (t <= -2e+32) or not (t <= 7e+63): tmp = math.fabs((t_2 + (eh * (math.cos(t) * math.sin(math.atan(((-0.3333333333333333 * ((t * eh) / ew)) + t_1))))))) else: tmp = math.fabs((t_2 + (eh * (math.cos(t) * math.sin(math.atan(t_1)))))) return tmp
function code(eh, ew, t) t_1 = Float64(eh / Float64(t * ew)) t_2 = Float64(sin(t) * ew) tmp = 0.0 if ((t <= -2e+32) || !(t <= 7e+63)) tmp = abs(Float64(t_2 + Float64(eh * Float64(cos(t) * sin(atan(Float64(Float64(-0.3333333333333333 * Float64(Float64(t * eh) / ew)) + t_1))))))); else tmp = abs(Float64(t_2 + Float64(eh * Float64(cos(t) * sin(atan(t_1)))))); end return tmp end
function tmp_2 = code(eh, ew, t) t_1 = eh / (t * ew); t_2 = sin(t) * ew; tmp = 0.0; if ((t <= -2e+32) || ~((t <= 7e+63))) tmp = abs((t_2 + (eh * (cos(t) * sin(atan(((-0.3333333333333333 * ((t * eh) / ew)) + t_1))))))); else tmp = abs((t_2 + (eh * (cos(t) * sin(atan(t_1)))))); end tmp_2 = tmp; end
code[eh_, ew_, t_] := Block[{t$95$1 = N[(eh / N[(t * ew), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sin[t], $MachinePrecision] * ew), $MachinePrecision]}, If[Or[LessEqual[t, -2e+32], N[Not[LessEqual[t, 7e+63]], $MachinePrecision]], N[Abs[N[(t$95$2 + N[(eh * N[(N[Cos[t], $MachinePrecision] * N[Sin[N[ArcTan[N[(N[(-0.3333333333333333 * N[(N[(t * eh), $MachinePrecision] / ew), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], N[Abs[N[(t$95$2 + N[(eh * N[(N[Cos[t], $MachinePrecision] * N[Sin[N[ArcTan[t$95$1], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \frac{eh}{t \cdot ew}\\
t_2 := \sin t \cdot ew\\
\mathbf{if}\;t \leq -2 \cdot 10^{+32} \lor \neg \left(t \leq 7 \cdot 10^{+63}\right):\\
\;\;\;\;\left|t_2 + eh \cdot \left(\cos t \cdot \sin \tan^{-1} \left(-0.3333333333333333 \cdot \frac{t \cdot eh}{ew} + t_1\right)\right)\right|\\
\mathbf{else}:\\
\;\;\;\;\left|t_2 + eh \cdot \left(\cos t \cdot \sin \tan^{-1} t_1\right)\right|\\
\end{array}
\end{array}
if t < -2.00000000000000011e32 or 7.00000000000000059e63 < t Initial program 99.6%
associate-*l*99.6%
fma-def99.6%
*-commutative99.6%
associate-*l*99.6%
Simplified99.6%
expm1-log1p-u99.6%
expm1-udef99.2%
cos-atan99.2%
un-div-inv99.2%
hypot-1-def99.2%
associate-/l/99.2%
*-commutative99.2%
Applied egg-rr99.2%
expm1-def99.6%
expm1-log1p99.6%
associate-/r*99.6%
Simplified99.6%
Taylor expanded in ew around inf 97.2%
Taylor expanded in t around 0 95.1%
if -2.00000000000000011e32 < t < 7.00000000000000059e63Initial program 99.9%
associate-*l*99.9%
fma-def99.9%
*-commutative99.9%
associate-*l*99.9%
Simplified99.9%
expm1-log1p-u99.9%
expm1-udef77.0%
cos-atan77.0%
un-div-inv77.0%
hypot-1-def77.0%
associate-/l/77.0%
*-commutative77.0%
Applied egg-rr77.0%
expm1-def99.9%
expm1-log1p99.9%
associate-/r*99.9%
Simplified99.9%
Taylor expanded in ew around inf 99.5%
Taylor expanded in t around 0 99.5%
Final simplification97.8%
(FPCore (eh ew t) :precision binary64 (fabs (+ (* (sin t) ew) (* eh (* (cos t) (sin (atan (/ eh (* t ew)))))))))
double code(double eh, double ew, double t) {
return fabs(((sin(t) * ew) + (eh * (cos(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(((sin(t) * ew) + (eh * (cos(t) * sin(atan((eh / (t * ew))))))))
end function
public static double code(double eh, double ew, double t) {
return Math.abs(((Math.sin(t) * ew) + (eh * (Math.cos(t) * Math.sin(Math.atan((eh / (t * ew))))))));
}
def code(eh, ew, t): return math.fabs(((math.sin(t) * ew) + (eh * (math.cos(t) * math.sin(math.atan((eh / (t * ew))))))))
function code(eh, ew, t) return abs(Float64(Float64(sin(t) * ew) + Float64(eh * Float64(cos(t) * sin(atan(Float64(eh / Float64(t * ew)))))))) end
function tmp = code(eh, ew, t) tmp = abs(((sin(t) * ew) + (eh * (cos(t) * sin(atan((eh / (t * ew)))))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(N[Sin[t], $MachinePrecision] * ew), $MachinePrecision] + N[(eh * N[(N[Cos[t], $MachinePrecision] * N[Sin[N[ArcTan[N[(eh / N[(t * ew), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\sin t \cdot ew + eh \cdot \left(\cos t \cdot \sin \tan^{-1} \left(\frac{eh}{t \cdot ew}\right)\right)\right|
\end{array}
Initial program 99.8%
associate-*l*99.8%
fma-def99.8%
*-commutative99.8%
associate-*l*99.8%
Simplified99.8%
expm1-log1p-u99.8%
expm1-udef85.3%
cos-atan85.3%
un-div-inv85.3%
hypot-1-def85.3%
associate-/l/85.3%
*-commutative85.3%
Applied egg-rr85.3%
expm1-def99.8%
expm1-log1p99.8%
associate-/r*99.8%
Simplified99.8%
Taylor expanded in ew around inf 98.6%
Taylor expanded in t around 0 89.8%
Final simplification89.8%
(FPCore (eh ew t) :precision binary64 (fabs (+ (* (sin t) ew) (* eh (sin (atan (/ (/ eh (tan t)) ew)))))))
double code(double eh, double ew, double t) {
return fabs(((sin(t) * ew) + (eh * sin(atan(((eh / tan(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(((sin(t) * ew) + (eh * sin(atan(((eh / tan(t)) / ew))))))
end function
public static double code(double eh, double ew, double t) {
return Math.abs(((Math.sin(t) * ew) + (eh * Math.sin(Math.atan(((eh / Math.tan(t)) / ew))))));
}
def code(eh, ew, t): return math.fabs(((math.sin(t) * ew) + (eh * math.sin(math.atan(((eh / math.tan(t)) / ew))))))
function code(eh, ew, t) return abs(Float64(Float64(sin(t) * ew) + Float64(eh * sin(atan(Float64(Float64(eh / tan(t)) / ew)))))) end
function tmp = code(eh, ew, t) tmp = abs(((sin(t) * ew) + (eh * sin(atan(((eh / tan(t)) / ew)))))); end
code[eh_, ew_, t_] := N[Abs[N[(N[(N[Sin[t], $MachinePrecision] * ew), $MachinePrecision] + N[(eh * N[Sin[N[ArcTan[N[(N[(eh / N[Tan[t], $MachinePrecision]), $MachinePrecision] / ew), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\sin t \cdot ew + eh \cdot \sin \tan^{-1} \left(\frac{\frac{eh}{\tan t}}{ew}\right)\right|
\end{array}
Initial program 99.8%
associate-*l*99.8%
fma-def99.8%
*-commutative99.8%
associate-*l*99.8%
Simplified99.8%
expm1-log1p-u99.8%
expm1-udef85.3%
cos-atan85.3%
un-div-inv85.3%
hypot-1-def85.3%
associate-/l/85.3%
*-commutative85.3%
Applied egg-rr85.3%
expm1-def99.8%
expm1-log1p99.8%
associate-/r*99.8%
Simplified99.8%
Taylor expanded in ew around inf 98.6%
Taylor expanded in t around 0 80.3%
associate-/l/80.3%
Simplified80.3%
Final simplification80.3%
(FPCore (eh ew t) :precision binary64 (fabs (* (sin t) ew)))
double code(double eh, double ew, double t) {
return fabs((sin(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((sin(t) * ew))
end function
public static double code(double eh, double ew, double t) {
return Math.abs((Math.sin(t) * ew));
}
def code(eh, ew, t): return math.fabs((math.sin(t) * ew))
function code(eh, ew, t) return abs(Float64(sin(t) * ew)) end
function tmp = code(eh, ew, t) tmp = abs((sin(t) * ew)); end
code[eh_, ew_, t_] := N[Abs[N[(N[Sin[t], $MachinePrecision] * ew), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\sin t \cdot ew\right|
\end{array}
Initial program 99.8%
associate-*l*99.8%
fma-def99.8%
*-commutative99.8%
associate-*l*99.8%
Simplified99.8%
expm1-log1p-u99.8%
expm1-udef85.3%
cos-atan85.3%
un-div-inv85.3%
hypot-1-def85.3%
associate-/l/85.3%
*-commutative85.3%
Applied egg-rr85.3%
expm1-def99.8%
expm1-log1p99.8%
associate-/r*99.8%
Simplified99.8%
Taylor expanded in ew around inf 42.9%
Final simplification42.9%
(FPCore (eh ew t) :precision binary64 (fabs (* t ew)))
double code(double eh, double ew, double t) {
return fabs((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((t * ew))
end function
public static double code(double eh, double ew, double t) {
return Math.abs((t * ew));
}
def code(eh, ew, t): return math.fabs((t * ew))
function code(eh, ew, t) return abs(Float64(t * ew)) end
function tmp = code(eh, ew, t) tmp = abs((t * ew)); end
code[eh_, ew_, t_] := N[Abs[N[(t * ew), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|t \cdot ew\right|
\end{array}
Initial program 99.8%
associate-*l*99.8%
fma-def99.8%
*-commutative99.8%
associate-*l*99.8%
Simplified99.8%
expm1-log1p-u99.8%
expm1-udef85.3%
cos-atan85.3%
un-div-inv85.3%
hypot-1-def85.3%
associate-/l/85.3%
*-commutative85.3%
Applied egg-rr85.3%
expm1-def99.8%
expm1-log1p99.8%
associate-/r*99.8%
Simplified99.8%
Taylor expanded in ew around inf 42.9%
Taylor expanded in t around 0 20.0%
Final simplification20.0%
herbie shell --seed 2023305
(FPCore (eh ew t)
:name "Example from Robby"
:precision binary64
(fabs (+ (* (* ew (sin t)) (cos (atan (/ (/ eh ew) (tan t))))) (* (* eh (cos t)) (sin (atan (/ (/ eh ew) (tan t))))))))