
(FPCore (re im) :precision binary64 (* (* 0.5 (sin re)) (+ (exp (- 0.0 im)) (exp im))))
double code(double re, double im) {
return (0.5 * sin(re)) * (exp((0.0 - im)) + exp(im));
}
real(8) function code(re, im)
real(8), intent (in) :: re
real(8), intent (in) :: im
code = (0.5d0 * sin(re)) * (exp((0.0d0 - im)) + exp(im))
end function
public static double code(double re, double im) {
return (0.5 * Math.sin(re)) * (Math.exp((0.0 - im)) + Math.exp(im));
}
def code(re, im): return (0.5 * math.sin(re)) * (math.exp((0.0 - im)) + math.exp(im))
function code(re, im) return Float64(Float64(0.5 * sin(re)) * Float64(exp(Float64(0.0 - im)) + exp(im))) end
function tmp = code(re, im) tmp = (0.5 * sin(re)) * (exp((0.0 - im)) + exp(im)); end
code[re_, im_] := N[(N[(0.5 * N[Sin[re], $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(0.0 - im), $MachinePrecision]], $MachinePrecision] + N[Exp[im], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(0.5 \cdot \sin re\right) \cdot \left(e^{0 - im} + e^{im}\right)
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 19 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (re im) :precision binary64 (* (* 0.5 (sin re)) (+ (exp (- 0.0 im)) (exp im))))
double code(double re, double im) {
return (0.5 * sin(re)) * (exp((0.0 - im)) + exp(im));
}
real(8) function code(re, im)
real(8), intent (in) :: re
real(8), intent (in) :: im
code = (0.5d0 * sin(re)) * (exp((0.0d0 - im)) + exp(im))
end function
public static double code(double re, double im) {
return (0.5 * Math.sin(re)) * (Math.exp((0.0 - im)) + Math.exp(im));
}
def code(re, im): return (0.5 * math.sin(re)) * (math.exp((0.0 - im)) + math.exp(im))
function code(re, im) return Float64(Float64(0.5 * sin(re)) * Float64(exp(Float64(0.0 - im)) + exp(im))) end
function tmp = code(re, im) tmp = (0.5 * sin(re)) * (exp((0.0 - im)) + exp(im)); end
code[re_, im_] := N[(N[(0.5 * N[Sin[re], $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(0.0 - im), $MachinePrecision]], $MachinePrecision] + N[Exp[im], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(0.5 \cdot \sin re\right) \cdot \left(e^{0 - im} + e^{im}\right)
\end{array}
im_m = (fabs.f64 im) (FPCore (re im_m) :precision binary64 (* (sin re) (/ (- 1.0 (pow (- 0.0 (exp (* im_m 2.0))) -1.0)) (* 2.0 (exp (- 0.0 im_m))))))
im_m = fabs(im);
double code(double re, double im_m) {
return sin(re) * ((1.0 - pow((0.0 - exp((im_m * 2.0))), -1.0)) / (2.0 * exp((0.0 - im_m))));
}
im_m = abs(im)
real(8) function code(re, im_m)
real(8), intent (in) :: re
real(8), intent (in) :: im_m
code = sin(re) * ((1.0d0 - ((0.0d0 - exp((im_m * 2.0d0))) ** (-1.0d0))) / (2.0d0 * exp((0.0d0 - im_m))))
end function
im_m = Math.abs(im);
public static double code(double re, double im_m) {
return Math.sin(re) * ((1.0 - Math.pow((0.0 - Math.exp((im_m * 2.0))), -1.0)) / (2.0 * Math.exp((0.0 - im_m))));
}
im_m = math.fabs(im) def code(re, im_m): return math.sin(re) * ((1.0 - math.pow((0.0 - math.exp((im_m * 2.0))), -1.0)) / (2.0 * math.exp((0.0 - im_m))))
im_m = abs(im) function code(re, im_m) return Float64(sin(re) * Float64(Float64(1.0 - (Float64(0.0 - exp(Float64(im_m * 2.0))) ^ -1.0)) / Float64(2.0 * exp(Float64(0.0 - im_m))))) end
im_m = abs(im); function tmp = code(re, im_m) tmp = sin(re) * ((1.0 - ((0.0 - exp((im_m * 2.0))) ^ -1.0)) / (2.0 * exp((0.0 - im_m)))); end
im_m = N[Abs[im], $MachinePrecision] code[re_, im$95$m_] := N[(N[Sin[re], $MachinePrecision] * N[(N[(1.0 - N[Power[N[(0.0 - N[Exp[N[(im$95$m * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision] / N[(2.0 * N[Exp[N[(0.0 - im$95$m), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
im_m = \left|im\right|
\\
\sin re \cdot \frac{1 - {\left(0 - e^{im\_m \cdot 2}\right)}^{-1}}{2 \cdot e^{0 - im\_m}}
\end{array}
Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
Applied egg-rr73.8%
Final simplification73.8%
im_m = (fabs.f64 im) (FPCore (re im_m) :precision binary64 (* (sin re) (cosh im_m)))
im_m = fabs(im);
double code(double re, double im_m) {
return sin(re) * cosh(im_m);
}
im_m = abs(im)
real(8) function code(re, im_m)
real(8), intent (in) :: re
real(8), intent (in) :: im_m
code = sin(re) * cosh(im_m)
end function
im_m = Math.abs(im);
public static double code(double re, double im_m) {
return Math.sin(re) * Math.cosh(im_m);
}
im_m = math.fabs(im) def code(re, im_m): return math.sin(re) * math.cosh(im_m)
im_m = abs(im) function code(re, im_m) return Float64(sin(re) * cosh(im_m)) end
im_m = abs(im); function tmp = code(re, im_m) tmp = sin(re) * cosh(im_m); end
im_m = N[Abs[im], $MachinePrecision] code[re_, im$95$m_] := N[(N[Sin[re], $MachinePrecision] * N[Cosh[im$95$m], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
im_m = \left|im\right|
\\
\sin re \cdot \cosh im\_m
\end{array}
Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
+-commutativeN/A
div-invN/A
distribute-lft-outN/A
*-commutativeN/A
metadata-evalN/A
metadata-evalN/A
div-invN/A
rec-expN/A
metadata-evalN/A
cosh-defN/A
rem-log-expN/A
cosh-lowering-cosh.f64N/A
rem-log-exp100.0%
Applied egg-rr100.0%
im_m = (fabs.f64 im)
(FPCore (re im_m)
:precision binary64
(if (<= re 0.0125)
(* re (cosh im_m))
(*
(sin re)
(+
1.0
(*
(* im_m im_m)
(+
0.5
(*
im_m
(*
im_m
(+
0.041666666666666664
(* (* im_m im_m) 0.001388888888888889))))))))))im_m = fabs(im);
double code(double re, double im_m) {
double tmp;
if (re <= 0.0125) {
tmp = re * cosh(im_m);
} else {
tmp = sin(re) * (1.0 + ((im_m * im_m) * (0.5 + (im_m * (im_m * (0.041666666666666664 + ((im_m * im_m) * 0.001388888888888889)))))));
}
return tmp;
}
im_m = abs(im)
real(8) function code(re, im_m)
real(8), intent (in) :: re
real(8), intent (in) :: im_m
real(8) :: tmp
if (re <= 0.0125d0) then
tmp = re * cosh(im_m)
else
tmp = sin(re) * (1.0d0 + ((im_m * im_m) * (0.5d0 + (im_m * (im_m * (0.041666666666666664d0 + ((im_m * im_m) * 0.001388888888888889d0)))))))
end if
code = tmp
end function
im_m = Math.abs(im);
public static double code(double re, double im_m) {
double tmp;
if (re <= 0.0125) {
tmp = re * Math.cosh(im_m);
} else {
tmp = Math.sin(re) * (1.0 + ((im_m * im_m) * (0.5 + (im_m * (im_m * (0.041666666666666664 + ((im_m * im_m) * 0.001388888888888889)))))));
}
return tmp;
}
im_m = math.fabs(im) def code(re, im_m): tmp = 0 if re <= 0.0125: tmp = re * math.cosh(im_m) else: tmp = math.sin(re) * (1.0 + ((im_m * im_m) * (0.5 + (im_m * (im_m * (0.041666666666666664 + ((im_m * im_m) * 0.001388888888888889))))))) return tmp
im_m = abs(im) function code(re, im_m) tmp = 0.0 if (re <= 0.0125) tmp = Float64(re * cosh(im_m)); else tmp = Float64(sin(re) * Float64(1.0 + Float64(Float64(im_m * im_m) * Float64(0.5 + Float64(im_m * Float64(im_m * Float64(0.041666666666666664 + Float64(Float64(im_m * im_m) * 0.001388888888888889)))))))); end return tmp end
im_m = abs(im); function tmp_2 = code(re, im_m) tmp = 0.0; if (re <= 0.0125) tmp = re * cosh(im_m); else tmp = sin(re) * (1.0 + ((im_m * im_m) * (0.5 + (im_m * (im_m * (0.041666666666666664 + ((im_m * im_m) * 0.001388888888888889))))))); end tmp_2 = tmp; end
im_m = N[Abs[im], $MachinePrecision] code[re_, im$95$m_] := If[LessEqual[re, 0.0125], N[(re * N[Cosh[im$95$m], $MachinePrecision]), $MachinePrecision], N[(N[Sin[re], $MachinePrecision] * N[(1.0 + N[(N[(im$95$m * im$95$m), $MachinePrecision] * N[(0.5 + N[(im$95$m * N[(im$95$m * N[(0.041666666666666664 + N[(N[(im$95$m * im$95$m), $MachinePrecision] * 0.001388888888888889), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
im_m = \left|im\right|
\\
\begin{array}{l}
\mathbf{if}\;re \leq 0.0125:\\
\;\;\;\;re \cdot \cosh im\_m\\
\mathbf{else}:\\
\;\;\;\;\sin re \cdot \left(1 + \left(im\_m \cdot im\_m\right) \cdot \left(0.5 + im\_m \cdot \left(im\_m \cdot \left(0.041666666666666664 + \left(im\_m \cdot im\_m\right) \cdot 0.001388888888888889\right)\right)\right)\right)\\
\end{array}
\end{array}
if re < 0.012500000000000001Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
+-commutativeN/A
div-invN/A
distribute-lft-outN/A
*-commutativeN/A
metadata-evalN/A
metadata-evalN/A
div-invN/A
rec-expN/A
metadata-evalN/A
cosh-defN/A
rem-log-expN/A
cosh-lowering-cosh.f64N/A
rem-log-exp100.0%
Applied egg-rr100.0%
Taylor expanded in re around 0
Simplified67.9%
if 0.012500000000000001 < re Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
Taylor expanded in im around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6496.9%
Simplified96.9%
im_m = (fabs.f64 im)
(FPCore (re im_m)
:precision binary64
(let* ((t_0 (* (sin re) (+ 1.0 (* (* im_m im_m) 0.5)))))
(if (<= im_m 360.0)
t_0
(if (<= im_m 1.35e+67)
(* re (cosh im_m))
(if (<= im_m 1.35e+154)
(*
(+
1.0
(* im_m (* im_m (+ 0.5 (* (* im_m im_m) 0.041666666666666664)))))
(* re (+ 1.0 (* -0.16666666666666666 (* re re)))))
t_0)))))im_m = fabs(im);
double code(double re, double im_m) {
double t_0 = sin(re) * (1.0 + ((im_m * im_m) * 0.5));
double tmp;
if (im_m <= 360.0) {
tmp = t_0;
} else if (im_m <= 1.35e+67) {
tmp = re * cosh(im_m);
} else if (im_m <= 1.35e+154) {
tmp = (1.0 + (im_m * (im_m * (0.5 + ((im_m * im_m) * 0.041666666666666664))))) * (re * (1.0 + (-0.16666666666666666 * (re * re))));
} else {
tmp = t_0;
}
return tmp;
}
im_m = abs(im)
real(8) function code(re, im_m)
real(8), intent (in) :: re
real(8), intent (in) :: im_m
real(8) :: t_0
real(8) :: tmp
t_0 = sin(re) * (1.0d0 + ((im_m * im_m) * 0.5d0))
if (im_m <= 360.0d0) then
tmp = t_0
else if (im_m <= 1.35d+67) then
tmp = re * cosh(im_m)
else if (im_m <= 1.35d+154) then
tmp = (1.0d0 + (im_m * (im_m * (0.5d0 + ((im_m * im_m) * 0.041666666666666664d0))))) * (re * (1.0d0 + ((-0.16666666666666666d0) * (re * re))))
else
tmp = t_0
end if
code = tmp
end function
im_m = Math.abs(im);
public static double code(double re, double im_m) {
double t_0 = Math.sin(re) * (1.0 + ((im_m * im_m) * 0.5));
double tmp;
if (im_m <= 360.0) {
tmp = t_0;
} else if (im_m <= 1.35e+67) {
tmp = re * Math.cosh(im_m);
} else if (im_m <= 1.35e+154) {
tmp = (1.0 + (im_m * (im_m * (0.5 + ((im_m * im_m) * 0.041666666666666664))))) * (re * (1.0 + (-0.16666666666666666 * (re * re))));
} else {
tmp = t_0;
}
return tmp;
}
im_m = math.fabs(im) def code(re, im_m): t_0 = math.sin(re) * (1.0 + ((im_m * im_m) * 0.5)) tmp = 0 if im_m <= 360.0: tmp = t_0 elif im_m <= 1.35e+67: tmp = re * math.cosh(im_m) elif im_m <= 1.35e+154: tmp = (1.0 + (im_m * (im_m * (0.5 + ((im_m * im_m) * 0.041666666666666664))))) * (re * (1.0 + (-0.16666666666666666 * (re * re)))) else: tmp = t_0 return tmp
im_m = abs(im) function code(re, im_m) t_0 = Float64(sin(re) * Float64(1.0 + Float64(Float64(im_m * im_m) * 0.5))) tmp = 0.0 if (im_m <= 360.0) tmp = t_0; elseif (im_m <= 1.35e+67) tmp = Float64(re * cosh(im_m)); elseif (im_m <= 1.35e+154) tmp = Float64(Float64(1.0 + Float64(im_m * Float64(im_m * Float64(0.5 + Float64(Float64(im_m * im_m) * 0.041666666666666664))))) * Float64(re * Float64(1.0 + Float64(-0.16666666666666666 * Float64(re * re))))); else tmp = t_0; end return tmp end
im_m = abs(im); function tmp_2 = code(re, im_m) t_0 = sin(re) * (1.0 + ((im_m * im_m) * 0.5)); tmp = 0.0; if (im_m <= 360.0) tmp = t_0; elseif (im_m <= 1.35e+67) tmp = re * cosh(im_m); elseif (im_m <= 1.35e+154) tmp = (1.0 + (im_m * (im_m * (0.5 + ((im_m * im_m) * 0.041666666666666664))))) * (re * (1.0 + (-0.16666666666666666 * (re * re)))); else tmp = t_0; end tmp_2 = tmp; end
im_m = N[Abs[im], $MachinePrecision]
code[re_, im$95$m_] := Block[{t$95$0 = N[(N[Sin[re], $MachinePrecision] * N[(1.0 + N[(N[(im$95$m * im$95$m), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[im$95$m, 360.0], t$95$0, If[LessEqual[im$95$m, 1.35e+67], N[(re * N[Cosh[im$95$m], $MachinePrecision]), $MachinePrecision], If[LessEqual[im$95$m, 1.35e+154], N[(N[(1.0 + N[(im$95$m * N[(im$95$m * N[(0.5 + N[(N[(im$95$m * im$95$m), $MachinePrecision] * 0.041666666666666664), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(re * N[(1.0 + N[(-0.16666666666666666 * N[(re * re), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$0]]]]
\begin{array}{l}
im_m = \left|im\right|
\\
\begin{array}{l}
t_0 := \sin re \cdot \left(1 + \left(im\_m \cdot im\_m\right) \cdot 0.5\right)\\
\mathbf{if}\;im\_m \leq 360:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;im\_m \leq 1.35 \cdot 10^{+67}:\\
\;\;\;\;re \cdot \cosh im\_m\\
\mathbf{elif}\;im\_m \leq 1.35 \cdot 10^{+154}:\\
\;\;\;\;\left(1 + im\_m \cdot \left(im\_m \cdot \left(0.5 + \left(im\_m \cdot im\_m\right) \cdot 0.041666666666666664\right)\right)\right) \cdot \left(re \cdot \left(1 + -0.16666666666666666 \cdot \left(re \cdot re\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_0\\
\end{array}
\end{array}
if im < 360 or 1.35000000000000003e154 < im Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
Taylor expanded in im around 0
associate-*r*N/A
distribute-rgt1-inN/A
+-commutativeN/A
*-commutativeN/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6485.5%
Simplified85.5%
if 360 < im < 1.35e67Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
+-commutativeN/A
div-invN/A
distribute-lft-outN/A
*-commutativeN/A
metadata-evalN/A
metadata-evalN/A
div-invN/A
rec-expN/A
metadata-evalN/A
cosh-defN/A
rem-log-expN/A
cosh-lowering-cosh.f64N/A
rem-log-exp100.0%
Applied egg-rr100.0%
Taylor expanded in re around 0
Simplified87.5%
if 1.35e67 < im < 1.35000000000000003e154Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
Taylor expanded in im around 0
distribute-lft-inN/A
associate-+r+N/A
associate-*r*N/A
associate-*r*N/A
distribute-rgt1-inN/A
associate-*r*N/A
*-commutativeN/A
distribute-rgt-outN/A
+-commutativeN/A
associate-+l+N/A
Simplified89.0%
Taylor expanded in re around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6484.3%
Simplified84.3%
Final simplification85.4%
im_m = (fabs.f64 im)
(FPCore (re im_m)
:precision binary64
(if (<= re 0.0126)
(* re (cosh im_m))
(*
(sin re)
(+ 1.0 (* im_m (* im_m (+ 0.5 (* (* im_m im_m) 0.041666666666666664))))))))im_m = fabs(im);
double code(double re, double im_m) {
double tmp;
if (re <= 0.0126) {
tmp = re * cosh(im_m);
} else {
tmp = sin(re) * (1.0 + (im_m * (im_m * (0.5 + ((im_m * im_m) * 0.041666666666666664)))));
}
return tmp;
}
im_m = abs(im)
real(8) function code(re, im_m)
real(8), intent (in) :: re
real(8), intent (in) :: im_m
real(8) :: tmp
if (re <= 0.0126d0) then
tmp = re * cosh(im_m)
else
tmp = sin(re) * (1.0d0 + (im_m * (im_m * (0.5d0 + ((im_m * im_m) * 0.041666666666666664d0)))))
end if
code = tmp
end function
im_m = Math.abs(im);
public static double code(double re, double im_m) {
double tmp;
if (re <= 0.0126) {
tmp = re * Math.cosh(im_m);
} else {
tmp = Math.sin(re) * (1.0 + (im_m * (im_m * (0.5 + ((im_m * im_m) * 0.041666666666666664)))));
}
return tmp;
}
im_m = math.fabs(im) def code(re, im_m): tmp = 0 if re <= 0.0126: tmp = re * math.cosh(im_m) else: tmp = math.sin(re) * (1.0 + (im_m * (im_m * (0.5 + ((im_m * im_m) * 0.041666666666666664))))) return tmp
im_m = abs(im) function code(re, im_m) tmp = 0.0 if (re <= 0.0126) tmp = Float64(re * cosh(im_m)); else tmp = Float64(sin(re) * Float64(1.0 + Float64(im_m * Float64(im_m * Float64(0.5 + Float64(Float64(im_m * im_m) * 0.041666666666666664)))))); end return tmp end
im_m = abs(im); function tmp_2 = code(re, im_m) tmp = 0.0; if (re <= 0.0126) tmp = re * cosh(im_m); else tmp = sin(re) * (1.0 + (im_m * (im_m * (0.5 + ((im_m * im_m) * 0.041666666666666664))))); end tmp_2 = tmp; end
im_m = N[Abs[im], $MachinePrecision] code[re_, im$95$m_] := If[LessEqual[re, 0.0126], N[(re * N[Cosh[im$95$m], $MachinePrecision]), $MachinePrecision], N[(N[Sin[re], $MachinePrecision] * N[(1.0 + N[(im$95$m * N[(im$95$m * N[(0.5 + N[(N[(im$95$m * im$95$m), $MachinePrecision] * 0.041666666666666664), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
im_m = \left|im\right|
\\
\begin{array}{l}
\mathbf{if}\;re \leq 0.0126:\\
\;\;\;\;re \cdot \cosh im\_m\\
\mathbf{else}:\\
\;\;\;\;\sin re \cdot \left(1 + im\_m \cdot \left(im\_m \cdot \left(0.5 + \left(im\_m \cdot im\_m\right) \cdot 0.041666666666666664\right)\right)\right)\\
\end{array}
\end{array}
if re < 0.0126Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
+-commutativeN/A
div-invN/A
distribute-lft-outN/A
*-commutativeN/A
metadata-evalN/A
metadata-evalN/A
div-invN/A
rec-expN/A
metadata-evalN/A
cosh-defN/A
rem-log-expN/A
cosh-lowering-cosh.f64N/A
rem-log-exp100.0%
Applied egg-rr100.0%
Taylor expanded in re around 0
Simplified67.9%
if 0.0126 < re Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
Taylor expanded in im around 0
distribute-lft-inN/A
associate-+r+N/A
associate-*r*N/A
associate-*r*N/A
distribute-rgt1-inN/A
associate-*r*N/A
*-commutativeN/A
distribute-rgt-outN/A
+-commutativeN/A
associate-+l+N/A
Simplified95.4%
im_m = (fabs.f64 im)
(FPCore (re im_m)
:precision binary64
(if (<= im_m 0.000112)
(sin re)
(if (<= im_m 1.35e+67)
(* re (cosh im_m))
(*
(+ 1.0 (* im_m (* im_m (+ 0.5 (* (* im_m im_m) 0.041666666666666664)))))
(* re (+ 1.0 (* -0.16666666666666666 (* re re))))))))im_m = fabs(im);
double code(double re, double im_m) {
double tmp;
if (im_m <= 0.000112) {
tmp = sin(re);
} else if (im_m <= 1.35e+67) {
tmp = re * cosh(im_m);
} else {
tmp = (1.0 + (im_m * (im_m * (0.5 + ((im_m * im_m) * 0.041666666666666664))))) * (re * (1.0 + (-0.16666666666666666 * (re * re))));
}
return tmp;
}
im_m = abs(im)
real(8) function code(re, im_m)
real(8), intent (in) :: re
real(8), intent (in) :: im_m
real(8) :: tmp
if (im_m <= 0.000112d0) then
tmp = sin(re)
else if (im_m <= 1.35d+67) then
tmp = re * cosh(im_m)
else
tmp = (1.0d0 + (im_m * (im_m * (0.5d0 + ((im_m * im_m) * 0.041666666666666664d0))))) * (re * (1.0d0 + ((-0.16666666666666666d0) * (re * re))))
end if
code = tmp
end function
im_m = Math.abs(im);
public static double code(double re, double im_m) {
double tmp;
if (im_m <= 0.000112) {
tmp = Math.sin(re);
} else if (im_m <= 1.35e+67) {
tmp = re * Math.cosh(im_m);
} else {
tmp = (1.0 + (im_m * (im_m * (0.5 + ((im_m * im_m) * 0.041666666666666664))))) * (re * (1.0 + (-0.16666666666666666 * (re * re))));
}
return tmp;
}
im_m = math.fabs(im) def code(re, im_m): tmp = 0 if im_m <= 0.000112: tmp = math.sin(re) elif im_m <= 1.35e+67: tmp = re * math.cosh(im_m) else: tmp = (1.0 + (im_m * (im_m * (0.5 + ((im_m * im_m) * 0.041666666666666664))))) * (re * (1.0 + (-0.16666666666666666 * (re * re)))) return tmp
im_m = abs(im) function code(re, im_m) tmp = 0.0 if (im_m <= 0.000112) tmp = sin(re); elseif (im_m <= 1.35e+67) tmp = Float64(re * cosh(im_m)); else tmp = Float64(Float64(1.0 + Float64(im_m * Float64(im_m * Float64(0.5 + Float64(Float64(im_m * im_m) * 0.041666666666666664))))) * Float64(re * Float64(1.0 + Float64(-0.16666666666666666 * Float64(re * re))))); end return tmp end
im_m = abs(im); function tmp_2 = code(re, im_m) tmp = 0.0; if (im_m <= 0.000112) tmp = sin(re); elseif (im_m <= 1.35e+67) tmp = re * cosh(im_m); else tmp = (1.0 + (im_m * (im_m * (0.5 + ((im_m * im_m) * 0.041666666666666664))))) * (re * (1.0 + (-0.16666666666666666 * (re * re)))); end tmp_2 = tmp; end
im_m = N[Abs[im], $MachinePrecision] code[re_, im$95$m_] := If[LessEqual[im$95$m, 0.000112], N[Sin[re], $MachinePrecision], If[LessEqual[im$95$m, 1.35e+67], N[(re * N[Cosh[im$95$m], $MachinePrecision]), $MachinePrecision], N[(N[(1.0 + N[(im$95$m * N[(im$95$m * N[(0.5 + N[(N[(im$95$m * im$95$m), $MachinePrecision] * 0.041666666666666664), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(re * N[(1.0 + N[(-0.16666666666666666 * N[(re * re), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
im_m = \left|im\right|
\\
\begin{array}{l}
\mathbf{if}\;im\_m \leq 0.000112:\\
\;\;\;\;\sin re\\
\mathbf{elif}\;im\_m \leq 1.35 \cdot 10^{+67}:\\
\;\;\;\;re \cdot \cosh im\_m\\
\mathbf{else}:\\
\;\;\;\;\left(1 + im\_m \cdot \left(im\_m \cdot \left(0.5 + \left(im\_m \cdot im\_m\right) \cdot 0.041666666666666664\right)\right)\right) \cdot \left(re \cdot \left(1 + -0.16666666666666666 \cdot \left(re \cdot re\right)\right)\right)\\
\end{array}
\end{array}
if im < 1.11999999999999998e-4Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
Taylor expanded in im around 0
sin-lowering-sin.f6465.1%
Simplified65.1%
if 1.11999999999999998e-4 < im < 1.35e67Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
+-commutativeN/A
div-invN/A
distribute-lft-outN/A
*-commutativeN/A
metadata-evalN/A
metadata-evalN/A
div-invN/A
rec-expN/A
metadata-evalN/A
cosh-defN/A
rem-log-expN/A
cosh-lowering-cosh.f64N/A
rem-log-exp100.0%
Applied egg-rr100.0%
Taylor expanded in re around 0
Simplified77.8%
if 1.35e67 < im Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
Taylor expanded in im around 0
distribute-lft-inN/A
associate-+r+N/A
associate-*r*N/A
associate-*r*N/A
distribute-rgt1-inN/A
associate-*r*N/A
*-commutativeN/A
distribute-rgt-outN/A
+-commutativeN/A
associate-+l+N/A
Simplified95.2%
Taylor expanded in re around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6479.1%
Simplified79.1%
Final simplification68.6%
im_m = (fabs.f64 im)
(FPCore (re im_m)
:precision binary64
(if (<= im_m 0.000105)
(sin re)
(*
(+ 1.0 (* im_m (* im_m (+ 0.5 (* (* im_m im_m) 0.041666666666666664)))))
(*
re
(+
1.0
(*
(* re re)
(+
-0.16666666666666666
(*
re
(*
re
(+
0.008333333333333333
(* (* re re) -0.0001984126984126984)))))))))))im_m = fabs(im);
double code(double re, double im_m) {
double tmp;
if (im_m <= 0.000105) {
tmp = sin(re);
} else {
tmp = (1.0 + (im_m * (im_m * (0.5 + ((im_m * im_m) * 0.041666666666666664))))) * (re * (1.0 + ((re * re) * (-0.16666666666666666 + (re * (re * (0.008333333333333333 + ((re * re) * -0.0001984126984126984))))))));
}
return tmp;
}
im_m = abs(im)
real(8) function code(re, im_m)
real(8), intent (in) :: re
real(8), intent (in) :: im_m
real(8) :: tmp
if (im_m <= 0.000105d0) then
tmp = sin(re)
else
tmp = (1.0d0 + (im_m * (im_m * (0.5d0 + ((im_m * im_m) * 0.041666666666666664d0))))) * (re * (1.0d0 + ((re * re) * ((-0.16666666666666666d0) + (re * (re * (0.008333333333333333d0 + ((re * re) * (-0.0001984126984126984d0)))))))))
end if
code = tmp
end function
im_m = Math.abs(im);
public static double code(double re, double im_m) {
double tmp;
if (im_m <= 0.000105) {
tmp = Math.sin(re);
} else {
tmp = (1.0 + (im_m * (im_m * (0.5 + ((im_m * im_m) * 0.041666666666666664))))) * (re * (1.0 + ((re * re) * (-0.16666666666666666 + (re * (re * (0.008333333333333333 + ((re * re) * -0.0001984126984126984))))))));
}
return tmp;
}
im_m = math.fabs(im) def code(re, im_m): tmp = 0 if im_m <= 0.000105: tmp = math.sin(re) else: tmp = (1.0 + (im_m * (im_m * (0.5 + ((im_m * im_m) * 0.041666666666666664))))) * (re * (1.0 + ((re * re) * (-0.16666666666666666 + (re * (re * (0.008333333333333333 + ((re * re) * -0.0001984126984126984)))))))) return tmp
im_m = abs(im) function code(re, im_m) tmp = 0.0 if (im_m <= 0.000105) tmp = sin(re); else tmp = Float64(Float64(1.0 + Float64(im_m * Float64(im_m * Float64(0.5 + Float64(Float64(im_m * im_m) * 0.041666666666666664))))) * Float64(re * Float64(1.0 + Float64(Float64(re * re) * Float64(-0.16666666666666666 + Float64(re * Float64(re * Float64(0.008333333333333333 + Float64(Float64(re * re) * -0.0001984126984126984))))))))); end return tmp end
im_m = abs(im); function tmp_2 = code(re, im_m) tmp = 0.0; if (im_m <= 0.000105) tmp = sin(re); else tmp = (1.0 + (im_m * (im_m * (0.5 + ((im_m * im_m) * 0.041666666666666664))))) * (re * (1.0 + ((re * re) * (-0.16666666666666666 + (re * (re * (0.008333333333333333 + ((re * re) * -0.0001984126984126984)))))))); end tmp_2 = tmp; end
im_m = N[Abs[im], $MachinePrecision] code[re_, im$95$m_] := If[LessEqual[im$95$m, 0.000105], N[Sin[re], $MachinePrecision], N[(N[(1.0 + N[(im$95$m * N[(im$95$m * N[(0.5 + N[(N[(im$95$m * im$95$m), $MachinePrecision] * 0.041666666666666664), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(re * N[(1.0 + N[(N[(re * re), $MachinePrecision] * N[(-0.16666666666666666 + N[(re * N[(re * N[(0.008333333333333333 + N[(N[(re * re), $MachinePrecision] * -0.0001984126984126984), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
im_m = \left|im\right|
\\
\begin{array}{l}
\mathbf{if}\;im\_m \leq 0.000105:\\
\;\;\;\;\sin re\\
\mathbf{else}:\\
\;\;\;\;\left(1 + im\_m \cdot \left(im\_m \cdot \left(0.5 + \left(im\_m \cdot im\_m\right) \cdot 0.041666666666666664\right)\right)\right) \cdot \left(re \cdot \left(1 + \left(re \cdot re\right) \cdot \left(-0.16666666666666666 + re \cdot \left(re \cdot \left(0.008333333333333333 + \left(re \cdot re\right) \cdot -0.0001984126984126984\right)\right)\right)\right)\right)\\
\end{array}
\end{array}
if im < 1.05e-4Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
Taylor expanded in im around 0
sin-lowering-sin.f6465.1%
Simplified65.1%
if 1.05e-4 < im Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
Taylor expanded in im around 0
distribute-lft-inN/A
associate-+r+N/A
associate-*r*N/A
associate-*r*N/A
distribute-rgt1-inN/A
associate-*r*N/A
*-commutativeN/A
distribute-rgt-outN/A
+-commutativeN/A
associate-+l+N/A
Simplified82.7%
Taylor expanded in re around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6470.2%
Simplified70.2%
Final simplification66.4%
im_m = (fabs.f64 im)
(FPCore (re im_m)
:precision binary64
(*
(+ 1.0 (* im_m (* im_m (+ 0.5 (* (* im_m im_m) 0.041666666666666664)))))
(*
re
(+
1.0
(*
(* re re)
(+
-0.16666666666666666
(*
re
(*
re
(+ 0.008333333333333333 (* (* re re) -0.0001984126984126984))))))))))im_m = fabs(im);
double code(double re, double im_m) {
return (1.0 + (im_m * (im_m * (0.5 + ((im_m * im_m) * 0.041666666666666664))))) * (re * (1.0 + ((re * re) * (-0.16666666666666666 + (re * (re * (0.008333333333333333 + ((re * re) * -0.0001984126984126984))))))));
}
im_m = abs(im)
real(8) function code(re, im_m)
real(8), intent (in) :: re
real(8), intent (in) :: im_m
code = (1.0d0 + (im_m * (im_m * (0.5d0 + ((im_m * im_m) * 0.041666666666666664d0))))) * (re * (1.0d0 + ((re * re) * ((-0.16666666666666666d0) + (re * (re * (0.008333333333333333d0 + ((re * re) * (-0.0001984126984126984d0)))))))))
end function
im_m = Math.abs(im);
public static double code(double re, double im_m) {
return (1.0 + (im_m * (im_m * (0.5 + ((im_m * im_m) * 0.041666666666666664))))) * (re * (1.0 + ((re * re) * (-0.16666666666666666 + (re * (re * (0.008333333333333333 + ((re * re) * -0.0001984126984126984))))))));
}
im_m = math.fabs(im) def code(re, im_m): return (1.0 + (im_m * (im_m * (0.5 + ((im_m * im_m) * 0.041666666666666664))))) * (re * (1.0 + ((re * re) * (-0.16666666666666666 + (re * (re * (0.008333333333333333 + ((re * re) * -0.0001984126984126984))))))))
im_m = abs(im) function code(re, im_m) return Float64(Float64(1.0 + Float64(im_m * Float64(im_m * Float64(0.5 + Float64(Float64(im_m * im_m) * 0.041666666666666664))))) * Float64(re * Float64(1.0 + Float64(Float64(re * re) * Float64(-0.16666666666666666 + Float64(re * Float64(re * Float64(0.008333333333333333 + Float64(Float64(re * re) * -0.0001984126984126984))))))))) end
im_m = abs(im); function tmp = code(re, im_m) tmp = (1.0 + (im_m * (im_m * (0.5 + ((im_m * im_m) * 0.041666666666666664))))) * (re * (1.0 + ((re * re) * (-0.16666666666666666 + (re * (re * (0.008333333333333333 + ((re * re) * -0.0001984126984126984)))))))); end
im_m = N[Abs[im], $MachinePrecision] code[re_, im$95$m_] := N[(N[(1.0 + N[(im$95$m * N[(im$95$m * N[(0.5 + N[(N[(im$95$m * im$95$m), $MachinePrecision] * 0.041666666666666664), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(re * N[(1.0 + N[(N[(re * re), $MachinePrecision] * N[(-0.16666666666666666 + N[(re * N[(re * N[(0.008333333333333333 + N[(N[(re * re), $MachinePrecision] * -0.0001984126984126984), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
im_m = \left|im\right|
\\
\left(1 + im\_m \cdot \left(im\_m \cdot \left(0.5 + \left(im\_m \cdot im\_m\right) \cdot 0.041666666666666664\right)\right)\right) \cdot \left(re \cdot \left(1 + \left(re \cdot re\right) \cdot \left(-0.16666666666666666 + re \cdot \left(re \cdot \left(0.008333333333333333 + \left(re \cdot re\right) \cdot -0.0001984126984126984\right)\right)\right)\right)\right)
\end{array}
Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
Taylor expanded in im around 0
distribute-lft-inN/A
associate-+r+N/A
associate-*r*N/A
associate-*r*N/A
distribute-rgt1-inN/A
associate-*r*N/A
*-commutativeN/A
distribute-rgt-outN/A
+-commutativeN/A
associate-+l+N/A
Simplified91.8%
Taylor expanded in re around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6461.9%
Simplified61.9%
Final simplification61.9%
im_m = (fabs.f64 im)
(FPCore (re im_m)
:precision binary64
(if (<= re 2.5e+34)
(*
re
(+
1.0
(*
im_m
(*
im_m
(+ 0.5 (* im_m (* im_m (* (* im_m im_m) 0.001388888888888889))))))))
(*
(+ 1.0 (* (* im_m im_m) 0.5))
(*
re
(+
1.0
(*
re
(*
re
(+
-0.16666666666666666
(*
re
(*
re
(+
0.008333333333333333
(* (* re re) -0.0001984126984126984))))))))))))im_m = fabs(im);
double code(double re, double im_m) {
double tmp;
if (re <= 2.5e+34) {
tmp = re * (1.0 + (im_m * (im_m * (0.5 + (im_m * (im_m * ((im_m * im_m) * 0.001388888888888889)))))));
} else {
tmp = (1.0 + ((im_m * im_m) * 0.5)) * (re * (1.0 + (re * (re * (-0.16666666666666666 + (re * (re * (0.008333333333333333 + ((re * re) * -0.0001984126984126984)))))))));
}
return tmp;
}
im_m = abs(im)
real(8) function code(re, im_m)
real(8), intent (in) :: re
real(8), intent (in) :: im_m
real(8) :: tmp
if (re <= 2.5d+34) then
tmp = re * (1.0d0 + (im_m * (im_m * (0.5d0 + (im_m * (im_m * ((im_m * im_m) * 0.001388888888888889d0)))))))
else
tmp = (1.0d0 + ((im_m * im_m) * 0.5d0)) * (re * (1.0d0 + (re * (re * ((-0.16666666666666666d0) + (re * (re * (0.008333333333333333d0 + ((re * re) * (-0.0001984126984126984d0))))))))))
end if
code = tmp
end function
im_m = Math.abs(im);
public static double code(double re, double im_m) {
double tmp;
if (re <= 2.5e+34) {
tmp = re * (1.0 + (im_m * (im_m * (0.5 + (im_m * (im_m * ((im_m * im_m) * 0.001388888888888889)))))));
} else {
tmp = (1.0 + ((im_m * im_m) * 0.5)) * (re * (1.0 + (re * (re * (-0.16666666666666666 + (re * (re * (0.008333333333333333 + ((re * re) * -0.0001984126984126984)))))))));
}
return tmp;
}
im_m = math.fabs(im) def code(re, im_m): tmp = 0 if re <= 2.5e+34: tmp = re * (1.0 + (im_m * (im_m * (0.5 + (im_m * (im_m * ((im_m * im_m) * 0.001388888888888889))))))) else: tmp = (1.0 + ((im_m * im_m) * 0.5)) * (re * (1.0 + (re * (re * (-0.16666666666666666 + (re * (re * (0.008333333333333333 + ((re * re) * -0.0001984126984126984))))))))) return tmp
im_m = abs(im) function code(re, im_m) tmp = 0.0 if (re <= 2.5e+34) tmp = Float64(re * Float64(1.0 + Float64(im_m * Float64(im_m * Float64(0.5 + Float64(im_m * Float64(im_m * Float64(Float64(im_m * im_m) * 0.001388888888888889)))))))); else tmp = Float64(Float64(1.0 + Float64(Float64(im_m * im_m) * 0.5)) * Float64(re * Float64(1.0 + Float64(re * Float64(re * Float64(-0.16666666666666666 + Float64(re * Float64(re * Float64(0.008333333333333333 + Float64(Float64(re * re) * -0.0001984126984126984)))))))))); end return tmp end
im_m = abs(im); function tmp_2 = code(re, im_m) tmp = 0.0; if (re <= 2.5e+34) tmp = re * (1.0 + (im_m * (im_m * (0.5 + (im_m * (im_m * ((im_m * im_m) * 0.001388888888888889))))))); else tmp = (1.0 + ((im_m * im_m) * 0.5)) * (re * (1.0 + (re * (re * (-0.16666666666666666 + (re * (re * (0.008333333333333333 + ((re * re) * -0.0001984126984126984))))))))); end tmp_2 = tmp; end
im_m = N[Abs[im], $MachinePrecision] code[re_, im$95$m_] := If[LessEqual[re, 2.5e+34], N[(re * N[(1.0 + N[(im$95$m * N[(im$95$m * N[(0.5 + N[(im$95$m * N[(im$95$m * N[(N[(im$95$m * im$95$m), $MachinePrecision] * 0.001388888888888889), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(1.0 + N[(N[(im$95$m * im$95$m), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[(re * N[(1.0 + N[(re * N[(re * N[(-0.16666666666666666 + N[(re * N[(re * N[(0.008333333333333333 + N[(N[(re * re), $MachinePrecision] * -0.0001984126984126984), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
im_m = \left|im\right|
\\
\begin{array}{l}
\mathbf{if}\;re \leq 2.5 \cdot 10^{+34}:\\
\;\;\;\;re \cdot \left(1 + im\_m \cdot \left(im\_m \cdot \left(0.5 + im\_m \cdot \left(im\_m \cdot \left(\left(im\_m \cdot im\_m\right) \cdot 0.001388888888888889\right)\right)\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(1 + \left(im\_m \cdot im\_m\right) \cdot 0.5\right) \cdot \left(re \cdot \left(1 + re \cdot \left(re \cdot \left(-0.16666666666666666 + re \cdot \left(re \cdot \left(0.008333333333333333 + \left(re \cdot re\right) \cdot -0.0001984126984126984\right)\right)\right)\right)\right)\right)\\
\end{array}
\end{array}
if re < 2.4999999999999999e34Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
Taylor expanded in im around 0
+-lowering-+.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-commutativeN/A
distribute-lft-inN/A
associate-+l+N/A
associate-*r*N/A
associate-*r*N/A
Simplified93.3%
Taylor expanded in re around 0
*-commutativeN/A
*-lowering-*.f64N/A
Simplified62.0%
Taylor expanded in im around inf
unpow3N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6462.0%
Simplified62.0%
if 2.4999999999999999e34 < re Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
Taylor expanded in im around 0
distribute-lft-inN/A
associate-+r+N/A
associate-*r*N/A
associate-*r*N/A
distribute-rgt1-inN/A
associate-*r*N/A
*-commutativeN/A
distribute-rgt-outN/A
+-commutativeN/A
associate-+l+N/A
Simplified94.7%
Taylor expanded in im around 0
associate-*r*N/A
distribute-rgt1-inN/A
+-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sin-lowering-sin.f6477.5%
Simplified77.5%
Taylor expanded in re around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6434.2%
Simplified34.2%
Final simplification56.1%
im_m = (fabs.f64 im)
(FPCore (re im_m)
:precision binary64
(if (<= re 2.5e+34)
(*
re
(+
1.0
(*
im_m
(*
im_m
(+ 0.5 (* im_m (* im_m (* (* im_m im_m) 0.001388888888888889))))))))
(*
(+ 1.0 (* im_m (* im_m (+ 0.5 (* (* im_m im_m) 0.041666666666666664)))))
(* -0.16666666666666666 (* re (* re re))))))im_m = fabs(im);
double code(double re, double im_m) {
double tmp;
if (re <= 2.5e+34) {
tmp = re * (1.0 + (im_m * (im_m * (0.5 + (im_m * (im_m * ((im_m * im_m) * 0.001388888888888889)))))));
} else {
tmp = (1.0 + (im_m * (im_m * (0.5 + ((im_m * im_m) * 0.041666666666666664))))) * (-0.16666666666666666 * (re * (re * re)));
}
return tmp;
}
im_m = abs(im)
real(8) function code(re, im_m)
real(8), intent (in) :: re
real(8), intent (in) :: im_m
real(8) :: tmp
if (re <= 2.5d+34) then
tmp = re * (1.0d0 + (im_m * (im_m * (0.5d0 + (im_m * (im_m * ((im_m * im_m) * 0.001388888888888889d0)))))))
else
tmp = (1.0d0 + (im_m * (im_m * (0.5d0 + ((im_m * im_m) * 0.041666666666666664d0))))) * ((-0.16666666666666666d0) * (re * (re * re)))
end if
code = tmp
end function
im_m = Math.abs(im);
public static double code(double re, double im_m) {
double tmp;
if (re <= 2.5e+34) {
tmp = re * (1.0 + (im_m * (im_m * (0.5 + (im_m * (im_m * ((im_m * im_m) * 0.001388888888888889)))))));
} else {
tmp = (1.0 + (im_m * (im_m * (0.5 + ((im_m * im_m) * 0.041666666666666664))))) * (-0.16666666666666666 * (re * (re * re)));
}
return tmp;
}
im_m = math.fabs(im) def code(re, im_m): tmp = 0 if re <= 2.5e+34: tmp = re * (1.0 + (im_m * (im_m * (0.5 + (im_m * (im_m * ((im_m * im_m) * 0.001388888888888889))))))) else: tmp = (1.0 + (im_m * (im_m * (0.5 + ((im_m * im_m) * 0.041666666666666664))))) * (-0.16666666666666666 * (re * (re * re))) return tmp
im_m = abs(im) function code(re, im_m) tmp = 0.0 if (re <= 2.5e+34) tmp = Float64(re * Float64(1.0 + Float64(im_m * Float64(im_m * Float64(0.5 + Float64(im_m * Float64(im_m * Float64(Float64(im_m * im_m) * 0.001388888888888889)))))))); else tmp = Float64(Float64(1.0 + Float64(im_m * Float64(im_m * Float64(0.5 + Float64(Float64(im_m * im_m) * 0.041666666666666664))))) * Float64(-0.16666666666666666 * Float64(re * Float64(re * re)))); end return tmp end
im_m = abs(im); function tmp_2 = code(re, im_m) tmp = 0.0; if (re <= 2.5e+34) tmp = re * (1.0 + (im_m * (im_m * (0.5 + (im_m * (im_m * ((im_m * im_m) * 0.001388888888888889))))))); else tmp = (1.0 + (im_m * (im_m * (0.5 + ((im_m * im_m) * 0.041666666666666664))))) * (-0.16666666666666666 * (re * (re * re))); end tmp_2 = tmp; end
im_m = N[Abs[im], $MachinePrecision] code[re_, im$95$m_] := If[LessEqual[re, 2.5e+34], N[(re * N[(1.0 + N[(im$95$m * N[(im$95$m * N[(0.5 + N[(im$95$m * N[(im$95$m * N[(N[(im$95$m * im$95$m), $MachinePrecision] * 0.001388888888888889), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(1.0 + N[(im$95$m * N[(im$95$m * N[(0.5 + N[(N[(im$95$m * im$95$m), $MachinePrecision] * 0.041666666666666664), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(-0.16666666666666666 * N[(re * N[(re * re), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
im_m = \left|im\right|
\\
\begin{array}{l}
\mathbf{if}\;re \leq 2.5 \cdot 10^{+34}:\\
\;\;\;\;re \cdot \left(1 + im\_m \cdot \left(im\_m \cdot \left(0.5 + im\_m \cdot \left(im\_m \cdot \left(\left(im\_m \cdot im\_m\right) \cdot 0.001388888888888889\right)\right)\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(1 + im\_m \cdot \left(im\_m \cdot \left(0.5 + \left(im\_m \cdot im\_m\right) \cdot 0.041666666666666664\right)\right)\right) \cdot \left(-0.16666666666666666 \cdot \left(re \cdot \left(re \cdot re\right)\right)\right)\\
\end{array}
\end{array}
if re < 2.4999999999999999e34Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
Taylor expanded in im around 0
+-lowering-+.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-commutativeN/A
distribute-lft-inN/A
associate-+l+N/A
associate-*r*N/A
associate-*r*N/A
Simplified93.3%
Taylor expanded in re around 0
*-commutativeN/A
*-lowering-*.f64N/A
Simplified62.0%
Taylor expanded in im around inf
unpow3N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6462.0%
Simplified62.0%
if 2.4999999999999999e34 < re Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
Taylor expanded in im around 0
distribute-lft-inN/A
associate-+r+N/A
associate-*r*N/A
associate-*r*N/A
distribute-rgt1-inN/A
associate-*r*N/A
*-commutativeN/A
distribute-rgt-outN/A
+-commutativeN/A
associate-+l+N/A
Simplified94.7%
Taylor expanded in re around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6434.2%
Simplified34.2%
Taylor expanded in re around inf
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6434.2%
Simplified34.2%
Final simplification56.1%
im_m = (fabs.f64 im)
(FPCore (re im_m)
:precision binary64
(if (<= re 2.5e+34)
(*
re
(+
1.0
(*
im_m
(*
im_m
(+ 0.5 (* im_m (* im_m (* (* im_m im_m) 0.001388888888888889))))))))
(*
(+ 1.0 (* (* im_m im_m) 0.5))
(* re (+ 1.0 (* re (* re -0.16666666666666666)))))))im_m = fabs(im);
double code(double re, double im_m) {
double tmp;
if (re <= 2.5e+34) {
tmp = re * (1.0 + (im_m * (im_m * (0.5 + (im_m * (im_m * ((im_m * im_m) * 0.001388888888888889)))))));
} else {
tmp = (1.0 + ((im_m * im_m) * 0.5)) * (re * (1.0 + (re * (re * -0.16666666666666666))));
}
return tmp;
}
im_m = abs(im)
real(8) function code(re, im_m)
real(8), intent (in) :: re
real(8), intent (in) :: im_m
real(8) :: tmp
if (re <= 2.5d+34) then
tmp = re * (1.0d0 + (im_m * (im_m * (0.5d0 + (im_m * (im_m * ((im_m * im_m) * 0.001388888888888889d0)))))))
else
tmp = (1.0d0 + ((im_m * im_m) * 0.5d0)) * (re * (1.0d0 + (re * (re * (-0.16666666666666666d0)))))
end if
code = tmp
end function
im_m = Math.abs(im);
public static double code(double re, double im_m) {
double tmp;
if (re <= 2.5e+34) {
tmp = re * (1.0 + (im_m * (im_m * (0.5 + (im_m * (im_m * ((im_m * im_m) * 0.001388888888888889)))))));
} else {
tmp = (1.0 + ((im_m * im_m) * 0.5)) * (re * (1.0 + (re * (re * -0.16666666666666666))));
}
return tmp;
}
im_m = math.fabs(im) def code(re, im_m): tmp = 0 if re <= 2.5e+34: tmp = re * (1.0 + (im_m * (im_m * (0.5 + (im_m * (im_m * ((im_m * im_m) * 0.001388888888888889))))))) else: tmp = (1.0 + ((im_m * im_m) * 0.5)) * (re * (1.0 + (re * (re * -0.16666666666666666)))) return tmp
im_m = abs(im) function code(re, im_m) tmp = 0.0 if (re <= 2.5e+34) tmp = Float64(re * Float64(1.0 + Float64(im_m * Float64(im_m * Float64(0.5 + Float64(im_m * Float64(im_m * Float64(Float64(im_m * im_m) * 0.001388888888888889)))))))); else tmp = Float64(Float64(1.0 + Float64(Float64(im_m * im_m) * 0.5)) * Float64(re * Float64(1.0 + Float64(re * Float64(re * -0.16666666666666666))))); end return tmp end
im_m = abs(im); function tmp_2 = code(re, im_m) tmp = 0.0; if (re <= 2.5e+34) tmp = re * (1.0 + (im_m * (im_m * (0.5 + (im_m * (im_m * ((im_m * im_m) * 0.001388888888888889))))))); else tmp = (1.0 + ((im_m * im_m) * 0.5)) * (re * (1.0 + (re * (re * -0.16666666666666666)))); end tmp_2 = tmp; end
im_m = N[Abs[im], $MachinePrecision] code[re_, im$95$m_] := If[LessEqual[re, 2.5e+34], N[(re * N[(1.0 + N[(im$95$m * N[(im$95$m * N[(0.5 + N[(im$95$m * N[(im$95$m * N[(N[(im$95$m * im$95$m), $MachinePrecision] * 0.001388888888888889), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(1.0 + N[(N[(im$95$m * im$95$m), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[(re * N[(1.0 + N[(re * N[(re * -0.16666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
im_m = \left|im\right|
\\
\begin{array}{l}
\mathbf{if}\;re \leq 2.5 \cdot 10^{+34}:\\
\;\;\;\;re \cdot \left(1 + im\_m \cdot \left(im\_m \cdot \left(0.5 + im\_m \cdot \left(im\_m \cdot \left(\left(im\_m \cdot im\_m\right) \cdot 0.001388888888888889\right)\right)\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(1 + \left(im\_m \cdot im\_m\right) \cdot 0.5\right) \cdot \left(re \cdot \left(1 + re \cdot \left(re \cdot -0.16666666666666666\right)\right)\right)\\
\end{array}
\end{array}
if re < 2.4999999999999999e34Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
Taylor expanded in im around 0
+-lowering-+.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-commutativeN/A
distribute-lft-inN/A
associate-+l+N/A
associate-*r*N/A
associate-*r*N/A
Simplified93.3%
Taylor expanded in re around 0
*-commutativeN/A
*-lowering-*.f64N/A
Simplified62.0%
Taylor expanded in im around inf
unpow3N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6462.0%
Simplified62.0%
if 2.4999999999999999e34 < re Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
Taylor expanded in im around 0
distribute-lft-inN/A
associate-+r+N/A
associate-*r*N/A
associate-*r*N/A
distribute-rgt1-inN/A
associate-*r*N/A
*-commutativeN/A
distribute-rgt-outN/A
+-commutativeN/A
associate-+l+N/A
Simplified94.7%
Taylor expanded in re around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6434.2%
Simplified34.2%
Taylor expanded in im around 0
associate-*r*N/A
distribute-lft1-inN/A
+-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f6434.2%
Simplified34.2%
Final simplification56.1%
im_m = (fabs.f64 im)
(FPCore (re im_m)
:precision binary64
(if (<= re 2.5e+34)
(*
re
(+ 1.0 (* im_m (* im_m (+ 0.5 (* im_m (* im_m 0.041666666666666664)))))))
(*
(+ 1.0 (* (* im_m im_m) 0.5))
(* re (+ 1.0 (* re (* re -0.16666666666666666)))))))im_m = fabs(im);
double code(double re, double im_m) {
double tmp;
if (re <= 2.5e+34) {
tmp = re * (1.0 + (im_m * (im_m * (0.5 + (im_m * (im_m * 0.041666666666666664))))));
} else {
tmp = (1.0 + ((im_m * im_m) * 0.5)) * (re * (1.0 + (re * (re * -0.16666666666666666))));
}
return tmp;
}
im_m = abs(im)
real(8) function code(re, im_m)
real(8), intent (in) :: re
real(8), intent (in) :: im_m
real(8) :: tmp
if (re <= 2.5d+34) then
tmp = re * (1.0d0 + (im_m * (im_m * (0.5d0 + (im_m * (im_m * 0.041666666666666664d0))))))
else
tmp = (1.0d0 + ((im_m * im_m) * 0.5d0)) * (re * (1.0d0 + (re * (re * (-0.16666666666666666d0)))))
end if
code = tmp
end function
im_m = Math.abs(im);
public static double code(double re, double im_m) {
double tmp;
if (re <= 2.5e+34) {
tmp = re * (1.0 + (im_m * (im_m * (0.5 + (im_m * (im_m * 0.041666666666666664))))));
} else {
tmp = (1.0 + ((im_m * im_m) * 0.5)) * (re * (1.0 + (re * (re * -0.16666666666666666))));
}
return tmp;
}
im_m = math.fabs(im) def code(re, im_m): tmp = 0 if re <= 2.5e+34: tmp = re * (1.0 + (im_m * (im_m * (0.5 + (im_m * (im_m * 0.041666666666666664)))))) else: tmp = (1.0 + ((im_m * im_m) * 0.5)) * (re * (1.0 + (re * (re * -0.16666666666666666)))) return tmp
im_m = abs(im) function code(re, im_m) tmp = 0.0 if (re <= 2.5e+34) tmp = Float64(re * Float64(1.0 + Float64(im_m * Float64(im_m * Float64(0.5 + Float64(im_m * Float64(im_m * 0.041666666666666664))))))); else tmp = Float64(Float64(1.0 + Float64(Float64(im_m * im_m) * 0.5)) * Float64(re * Float64(1.0 + Float64(re * Float64(re * -0.16666666666666666))))); end return tmp end
im_m = abs(im); function tmp_2 = code(re, im_m) tmp = 0.0; if (re <= 2.5e+34) tmp = re * (1.0 + (im_m * (im_m * (0.5 + (im_m * (im_m * 0.041666666666666664)))))); else tmp = (1.0 + ((im_m * im_m) * 0.5)) * (re * (1.0 + (re * (re * -0.16666666666666666)))); end tmp_2 = tmp; end
im_m = N[Abs[im], $MachinePrecision] code[re_, im$95$m_] := If[LessEqual[re, 2.5e+34], N[(re * N[(1.0 + N[(im$95$m * N[(im$95$m * N[(0.5 + N[(im$95$m * N[(im$95$m * 0.041666666666666664), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(1.0 + N[(N[(im$95$m * im$95$m), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * N[(re * N[(1.0 + N[(re * N[(re * -0.16666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
im_m = \left|im\right|
\\
\begin{array}{l}
\mathbf{if}\;re \leq 2.5 \cdot 10^{+34}:\\
\;\;\;\;re \cdot \left(1 + im\_m \cdot \left(im\_m \cdot \left(0.5 + im\_m \cdot \left(im\_m \cdot 0.041666666666666664\right)\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(1 + \left(im\_m \cdot im\_m\right) \cdot 0.5\right) \cdot \left(re \cdot \left(1 + re \cdot \left(re \cdot -0.16666666666666666\right)\right)\right)\\
\end{array}
\end{array}
if re < 2.4999999999999999e34Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
Taylor expanded in im around 0
distribute-lft-inN/A
associate-+r+N/A
associate-*r*N/A
associate-*r*N/A
distribute-rgt1-inN/A
associate-*r*N/A
*-commutativeN/A
distribute-rgt-outN/A
+-commutativeN/A
associate-+l+N/A
Simplified91.0%
Taylor expanded in re around 0
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6461.0%
Simplified61.0%
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f6461.0%
Applied egg-rr61.0%
if 2.4999999999999999e34 < re Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
Taylor expanded in im around 0
distribute-lft-inN/A
associate-+r+N/A
associate-*r*N/A
associate-*r*N/A
distribute-rgt1-inN/A
associate-*r*N/A
*-commutativeN/A
distribute-rgt-outN/A
+-commutativeN/A
associate-+l+N/A
Simplified94.7%
Taylor expanded in re around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6434.2%
Simplified34.2%
Taylor expanded in im around 0
associate-*r*N/A
distribute-lft1-inN/A
+-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f6434.2%
Simplified34.2%
Final simplification55.3%
im_m = (fabs.f64 im)
(FPCore (re im_m)
:precision binary64
(if (<= re 6.3e+156)
(*
re
(+ 1.0 (* im_m (* im_m (+ 0.5 (* im_m (* im_m 0.041666666666666664)))))))
(* re (* -0.16666666666666666 (* re re)))))im_m = fabs(im);
double code(double re, double im_m) {
double tmp;
if (re <= 6.3e+156) {
tmp = re * (1.0 + (im_m * (im_m * (0.5 + (im_m * (im_m * 0.041666666666666664))))));
} else {
tmp = re * (-0.16666666666666666 * (re * re));
}
return tmp;
}
im_m = abs(im)
real(8) function code(re, im_m)
real(8), intent (in) :: re
real(8), intent (in) :: im_m
real(8) :: tmp
if (re <= 6.3d+156) then
tmp = re * (1.0d0 + (im_m * (im_m * (0.5d0 + (im_m * (im_m * 0.041666666666666664d0))))))
else
tmp = re * ((-0.16666666666666666d0) * (re * re))
end if
code = tmp
end function
im_m = Math.abs(im);
public static double code(double re, double im_m) {
double tmp;
if (re <= 6.3e+156) {
tmp = re * (1.0 + (im_m * (im_m * (0.5 + (im_m * (im_m * 0.041666666666666664))))));
} else {
tmp = re * (-0.16666666666666666 * (re * re));
}
return tmp;
}
im_m = math.fabs(im) def code(re, im_m): tmp = 0 if re <= 6.3e+156: tmp = re * (1.0 + (im_m * (im_m * (0.5 + (im_m * (im_m * 0.041666666666666664)))))) else: tmp = re * (-0.16666666666666666 * (re * re)) return tmp
im_m = abs(im) function code(re, im_m) tmp = 0.0 if (re <= 6.3e+156) tmp = Float64(re * Float64(1.0 + Float64(im_m * Float64(im_m * Float64(0.5 + Float64(im_m * Float64(im_m * 0.041666666666666664))))))); else tmp = Float64(re * Float64(-0.16666666666666666 * Float64(re * re))); end return tmp end
im_m = abs(im); function tmp_2 = code(re, im_m) tmp = 0.0; if (re <= 6.3e+156) tmp = re * (1.0 + (im_m * (im_m * (0.5 + (im_m * (im_m * 0.041666666666666664)))))); else tmp = re * (-0.16666666666666666 * (re * re)); end tmp_2 = tmp; end
im_m = N[Abs[im], $MachinePrecision] code[re_, im$95$m_] := If[LessEqual[re, 6.3e+156], N[(re * N[(1.0 + N[(im$95$m * N[(im$95$m * N[(0.5 + N[(im$95$m * N[(im$95$m * 0.041666666666666664), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(re * N[(-0.16666666666666666 * N[(re * re), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
im_m = \left|im\right|
\\
\begin{array}{l}
\mathbf{if}\;re \leq 6.3 \cdot 10^{+156}:\\
\;\;\;\;re \cdot \left(1 + im\_m \cdot \left(im\_m \cdot \left(0.5 + im\_m \cdot \left(im\_m \cdot 0.041666666666666664\right)\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;re \cdot \left(-0.16666666666666666 \cdot \left(re \cdot re\right)\right)\\
\end{array}
\end{array}
if re < 6.29999999999999982e156Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
Taylor expanded in im around 0
distribute-lft-inN/A
associate-+r+N/A
associate-*r*N/A
associate-*r*N/A
distribute-rgt1-inN/A
associate-*r*N/A
*-commutativeN/A
distribute-rgt-outN/A
+-commutativeN/A
associate-+l+N/A
Simplified91.2%
Taylor expanded in re around 0
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6458.1%
Simplified58.1%
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f6458.1%
Applied egg-rr58.1%
if 6.29999999999999982e156 < re Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
Taylor expanded in im around 0
sin-lowering-sin.f6458.5%
Simplified58.5%
Taylor expanded in re around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6429.7%
Simplified29.7%
Taylor expanded in re around inf
unpow3N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6429.7%
Simplified29.7%
Final simplification55.0%
im_m = (fabs.f64 im) (FPCore (re im_m) :precision binary64 (if (<= re 6.3e+156) (* re (+ 1.0 (* im_m (* im_m (* (* im_m im_m) 0.041666666666666664))))) (* re (* -0.16666666666666666 (* re re)))))
im_m = fabs(im);
double code(double re, double im_m) {
double tmp;
if (re <= 6.3e+156) {
tmp = re * (1.0 + (im_m * (im_m * ((im_m * im_m) * 0.041666666666666664))));
} else {
tmp = re * (-0.16666666666666666 * (re * re));
}
return tmp;
}
im_m = abs(im)
real(8) function code(re, im_m)
real(8), intent (in) :: re
real(8), intent (in) :: im_m
real(8) :: tmp
if (re <= 6.3d+156) then
tmp = re * (1.0d0 + (im_m * (im_m * ((im_m * im_m) * 0.041666666666666664d0))))
else
tmp = re * ((-0.16666666666666666d0) * (re * re))
end if
code = tmp
end function
im_m = Math.abs(im);
public static double code(double re, double im_m) {
double tmp;
if (re <= 6.3e+156) {
tmp = re * (1.0 + (im_m * (im_m * ((im_m * im_m) * 0.041666666666666664))));
} else {
tmp = re * (-0.16666666666666666 * (re * re));
}
return tmp;
}
im_m = math.fabs(im) def code(re, im_m): tmp = 0 if re <= 6.3e+156: tmp = re * (1.0 + (im_m * (im_m * ((im_m * im_m) * 0.041666666666666664)))) else: tmp = re * (-0.16666666666666666 * (re * re)) return tmp
im_m = abs(im) function code(re, im_m) tmp = 0.0 if (re <= 6.3e+156) tmp = Float64(re * Float64(1.0 + Float64(im_m * Float64(im_m * Float64(Float64(im_m * im_m) * 0.041666666666666664))))); else tmp = Float64(re * Float64(-0.16666666666666666 * Float64(re * re))); end return tmp end
im_m = abs(im); function tmp_2 = code(re, im_m) tmp = 0.0; if (re <= 6.3e+156) tmp = re * (1.0 + (im_m * (im_m * ((im_m * im_m) * 0.041666666666666664)))); else tmp = re * (-0.16666666666666666 * (re * re)); end tmp_2 = tmp; end
im_m = N[Abs[im], $MachinePrecision] code[re_, im$95$m_] := If[LessEqual[re, 6.3e+156], N[(re * N[(1.0 + N[(im$95$m * N[(im$95$m * N[(N[(im$95$m * im$95$m), $MachinePrecision] * 0.041666666666666664), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(re * N[(-0.16666666666666666 * N[(re * re), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
im_m = \left|im\right|
\\
\begin{array}{l}
\mathbf{if}\;re \leq 6.3 \cdot 10^{+156}:\\
\;\;\;\;re \cdot \left(1 + im\_m \cdot \left(im\_m \cdot \left(\left(im\_m \cdot im\_m\right) \cdot 0.041666666666666664\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;re \cdot \left(-0.16666666666666666 \cdot \left(re \cdot re\right)\right)\\
\end{array}
\end{array}
if re < 6.29999999999999982e156Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
Taylor expanded in im around 0
distribute-lft-inN/A
associate-+r+N/A
associate-*r*N/A
associate-*r*N/A
distribute-rgt1-inN/A
associate-*r*N/A
*-commutativeN/A
distribute-rgt-outN/A
+-commutativeN/A
associate-+l+N/A
Simplified91.2%
Taylor expanded in re around 0
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6458.1%
Simplified58.1%
Taylor expanded in im around inf
*-commutativeN/A
cube-multN/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6457.7%
Simplified57.7%
if 6.29999999999999982e156 < re Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
Taylor expanded in im around 0
sin-lowering-sin.f6458.5%
Simplified58.5%
Taylor expanded in re around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6429.7%
Simplified29.7%
Taylor expanded in re around inf
unpow3N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6429.7%
Simplified29.7%
Final simplification54.7%
im_m = (fabs.f64 im) (FPCore (re im_m) :precision binary64 (if (<= re 6.3e+156) (+ re (* (* im_m im_m) (* re 0.5))) (* re (* -0.16666666666666666 (* re re)))))
im_m = fabs(im);
double code(double re, double im_m) {
double tmp;
if (re <= 6.3e+156) {
tmp = re + ((im_m * im_m) * (re * 0.5));
} else {
tmp = re * (-0.16666666666666666 * (re * re));
}
return tmp;
}
im_m = abs(im)
real(8) function code(re, im_m)
real(8), intent (in) :: re
real(8), intent (in) :: im_m
real(8) :: tmp
if (re <= 6.3d+156) then
tmp = re + ((im_m * im_m) * (re * 0.5d0))
else
tmp = re * ((-0.16666666666666666d0) * (re * re))
end if
code = tmp
end function
im_m = Math.abs(im);
public static double code(double re, double im_m) {
double tmp;
if (re <= 6.3e+156) {
tmp = re + ((im_m * im_m) * (re * 0.5));
} else {
tmp = re * (-0.16666666666666666 * (re * re));
}
return tmp;
}
im_m = math.fabs(im) def code(re, im_m): tmp = 0 if re <= 6.3e+156: tmp = re + ((im_m * im_m) * (re * 0.5)) else: tmp = re * (-0.16666666666666666 * (re * re)) return tmp
im_m = abs(im) function code(re, im_m) tmp = 0.0 if (re <= 6.3e+156) tmp = Float64(re + Float64(Float64(im_m * im_m) * Float64(re * 0.5))); else tmp = Float64(re * Float64(-0.16666666666666666 * Float64(re * re))); end return tmp end
im_m = abs(im); function tmp_2 = code(re, im_m) tmp = 0.0; if (re <= 6.3e+156) tmp = re + ((im_m * im_m) * (re * 0.5)); else tmp = re * (-0.16666666666666666 * (re * re)); end tmp_2 = tmp; end
im_m = N[Abs[im], $MachinePrecision] code[re_, im$95$m_] := If[LessEqual[re, 6.3e+156], N[(re + N[(N[(im$95$m * im$95$m), $MachinePrecision] * N[(re * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(re * N[(-0.16666666666666666 * N[(re * re), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
im_m = \left|im\right|
\\
\begin{array}{l}
\mathbf{if}\;re \leq 6.3 \cdot 10^{+156}:\\
\;\;\;\;re + \left(im\_m \cdot im\_m\right) \cdot \left(re \cdot 0.5\right)\\
\mathbf{else}:\\
\;\;\;\;re \cdot \left(-0.16666666666666666 \cdot \left(re \cdot re\right)\right)\\
\end{array}
\end{array}
if re < 6.29999999999999982e156Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
Taylor expanded in im around 0
distribute-lft-inN/A
associate-+r+N/A
associate-*r*N/A
associate-*r*N/A
distribute-rgt1-inN/A
associate-*r*N/A
*-commutativeN/A
distribute-rgt-outN/A
+-commutativeN/A
associate-+l+N/A
Simplified91.2%
Taylor expanded in re around 0
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6458.1%
Simplified58.1%
+-commutativeN/A
distribute-lft1-inN/A
+-lowering-+.f64N/A
associate-*r*N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6453.6%
Applied egg-rr53.6%
Taylor expanded in im around 0
*-commutativeN/A
*-lowering-*.f6446.4%
Simplified46.4%
if 6.29999999999999982e156 < re Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
Taylor expanded in im around 0
sin-lowering-sin.f6458.5%
Simplified58.5%
Taylor expanded in re around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6429.7%
Simplified29.7%
Taylor expanded in re around inf
unpow3N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6429.7%
Simplified29.7%
Final simplification44.6%
im_m = (fabs.f64 im) (FPCore (re im_m) :precision binary64 (if (<= re 6.3e+156) (* re (+ 1.0 (* im_m (* im_m 0.5)))) (* re (* -0.16666666666666666 (* re re)))))
im_m = fabs(im);
double code(double re, double im_m) {
double tmp;
if (re <= 6.3e+156) {
tmp = re * (1.0 + (im_m * (im_m * 0.5)));
} else {
tmp = re * (-0.16666666666666666 * (re * re));
}
return tmp;
}
im_m = abs(im)
real(8) function code(re, im_m)
real(8), intent (in) :: re
real(8), intent (in) :: im_m
real(8) :: tmp
if (re <= 6.3d+156) then
tmp = re * (1.0d0 + (im_m * (im_m * 0.5d0)))
else
tmp = re * ((-0.16666666666666666d0) * (re * re))
end if
code = tmp
end function
im_m = Math.abs(im);
public static double code(double re, double im_m) {
double tmp;
if (re <= 6.3e+156) {
tmp = re * (1.0 + (im_m * (im_m * 0.5)));
} else {
tmp = re * (-0.16666666666666666 * (re * re));
}
return tmp;
}
im_m = math.fabs(im) def code(re, im_m): tmp = 0 if re <= 6.3e+156: tmp = re * (1.0 + (im_m * (im_m * 0.5))) else: tmp = re * (-0.16666666666666666 * (re * re)) return tmp
im_m = abs(im) function code(re, im_m) tmp = 0.0 if (re <= 6.3e+156) tmp = Float64(re * Float64(1.0 + Float64(im_m * Float64(im_m * 0.5)))); else tmp = Float64(re * Float64(-0.16666666666666666 * Float64(re * re))); end return tmp end
im_m = abs(im); function tmp_2 = code(re, im_m) tmp = 0.0; if (re <= 6.3e+156) tmp = re * (1.0 + (im_m * (im_m * 0.5))); else tmp = re * (-0.16666666666666666 * (re * re)); end tmp_2 = tmp; end
im_m = N[Abs[im], $MachinePrecision] code[re_, im$95$m_] := If[LessEqual[re, 6.3e+156], N[(re * N[(1.0 + N[(im$95$m * N[(im$95$m * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(re * N[(-0.16666666666666666 * N[(re * re), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
im_m = \left|im\right|
\\
\begin{array}{l}
\mathbf{if}\;re \leq 6.3 \cdot 10^{+156}:\\
\;\;\;\;re \cdot \left(1 + im\_m \cdot \left(im\_m \cdot 0.5\right)\right)\\
\mathbf{else}:\\
\;\;\;\;re \cdot \left(-0.16666666666666666 \cdot \left(re \cdot re\right)\right)\\
\end{array}
\end{array}
if re < 6.29999999999999982e156Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
Taylor expanded in im around 0
distribute-lft-inN/A
associate-+r+N/A
associate-*r*N/A
associate-*r*N/A
distribute-rgt1-inN/A
associate-*r*N/A
*-commutativeN/A
distribute-rgt-outN/A
+-commutativeN/A
associate-+l+N/A
Simplified91.2%
Taylor expanded in re around 0
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6458.1%
Simplified58.1%
Taylor expanded in im around 0
*-lowering-*.f6446.4%
Simplified46.4%
if 6.29999999999999982e156 < re Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
Taylor expanded in im around 0
sin-lowering-sin.f6458.5%
Simplified58.5%
Taylor expanded in re around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6429.7%
Simplified29.7%
Taylor expanded in re around inf
unpow3N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6429.7%
Simplified29.7%
Final simplification44.6%
im_m = (fabs.f64 im) (FPCore (re im_m) :precision binary64 (if (<= re 1.02e+18) re (* re (* -0.16666666666666666 (* re re)))))
im_m = fabs(im);
double code(double re, double im_m) {
double tmp;
if (re <= 1.02e+18) {
tmp = re;
} else {
tmp = re * (-0.16666666666666666 * (re * re));
}
return tmp;
}
im_m = abs(im)
real(8) function code(re, im_m)
real(8), intent (in) :: re
real(8), intent (in) :: im_m
real(8) :: tmp
if (re <= 1.02d+18) then
tmp = re
else
tmp = re * ((-0.16666666666666666d0) * (re * re))
end if
code = tmp
end function
im_m = Math.abs(im);
public static double code(double re, double im_m) {
double tmp;
if (re <= 1.02e+18) {
tmp = re;
} else {
tmp = re * (-0.16666666666666666 * (re * re));
}
return tmp;
}
im_m = math.fabs(im) def code(re, im_m): tmp = 0 if re <= 1.02e+18: tmp = re else: tmp = re * (-0.16666666666666666 * (re * re)) return tmp
im_m = abs(im) function code(re, im_m) tmp = 0.0 if (re <= 1.02e+18) tmp = re; else tmp = Float64(re * Float64(-0.16666666666666666 * Float64(re * re))); end return tmp end
im_m = abs(im); function tmp_2 = code(re, im_m) tmp = 0.0; if (re <= 1.02e+18) tmp = re; else tmp = re * (-0.16666666666666666 * (re * re)); end tmp_2 = tmp; end
im_m = N[Abs[im], $MachinePrecision] code[re_, im$95$m_] := If[LessEqual[re, 1.02e+18], re, N[(re * N[(-0.16666666666666666 * N[(re * re), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
im_m = \left|im\right|
\\
\begin{array}{l}
\mathbf{if}\;re \leq 1.02 \cdot 10^{+18}:\\
\;\;\;\;re\\
\mathbf{else}:\\
\;\;\;\;re \cdot \left(-0.16666666666666666 \cdot \left(re \cdot re\right)\right)\\
\end{array}
\end{array}
if re < 1.02e18Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
Taylor expanded in im around 0
sin-lowering-sin.f6451.0%
Simplified51.0%
Taylor expanded in re around 0
Simplified31.8%
if 1.02e18 < re Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
Taylor expanded in im around 0
sin-lowering-sin.f6441.9%
Simplified41.9%
Taylor expanded in re around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6421.6%
Simplified21.6%
Taylor expanded in re around inf
unpow3N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6421.6%
Simplified21.6%
im_m = (fabs.f64 im) (FPCore (re im_m) :precision binary64 (* re (+ 1.0 (* -0.16666666666666666 (* re re)))))
im_m = fabs(im);
double code(double re, double im_m) {
return re * (1.0 + (-0.16666666666666666 * (re * re)));
}
im_m = abs(im)
real(8) function code(re, im_m)
real(8), intent (in) :: re
real(8), intent (in) :: im_m
code = re * (1.0d0 + ((-0.16666666666666666d0) * (re * re)))
end function
im_m = Math.abs(im);
public static double code(double re, double im_m) {
return re * (1.0 + (-0.16666666666666666 * (re * re)));
}
im_m = math.fabs(im) def code(re, im_m): return re * (1.0 + (-0.16666666666666666 * (re * re)))
im_m = abs(im) function code(re, im_m) return Float64(re * Float64(1.0 + Float64(-0.16666666666666666 * Float64(re * re)))) end
im_m = abs(im); function tmp = code(re, im_m) tmp = re * (1.0 + (-0.16666666666666666 * (re * re))); end
im_m = N[Abs[im], $MachinePrecision] code[re_, im$95$m_] := N[(re * N[(1.0 + N[(-0.16666666666666666 * N[(re * re), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
im_m = \left|im\right|
\\
re \cdot \left(1 + -0.16666666666666666 \cdot \left(re \cdot re\right)\right)
\end{array}
Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
Taylor expanded in im around 0
sin-lowering-sin.f6449.0%
Simplified49.0%
Taylor expanded in re around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6435.7%
Simplified35.7%
im_m = (fabs.f64 im) (FPCore (re im_m) :precision binary64 re)
im_m = fabs(im);
double code(double re, double im_m) {
return re;
}
im_m = abs(im)
real(8) function code(re, im_m)
real(8), intent (in) :: re
real(8), intent (in) :: im_m
code = re
end function
im_m = Math.abs(im);
public static double code(double re, double im_m) {
return re;
}
im_m = math.fabs(im) def code(re, im_m): return re
im_m = abs(im) function code(re, im_m) return re end
im_m = abs(im); function tmp = code(re, im_m) tmp = re; end
im_m = N[Abs[im], $MachinePrecision] code[re_, im$95$m_] := re
\begin{array}{l}
im_m = \left|im\right|
\\
re
\end{array}
Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-commutativeN/A
distribute-rgt-inN/A
+-lowering-+.f64N/A
exp-diffN/A
associate-*l/N/A
exp-0N/A
metadata-evalN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64100.0%
Simplified100.0%
Taylor expanded in im around 0
sin-lowering-sin.f6449.0%
Simplified49.0%
Taylor expanded in re around 0
Simplified25.5%
herbie shell --seed 2024164
(FPCore (re im)
:name "math.sin on complex, real part"
:precision binary64
(* (* 0.5 (sin re)) (+ (exp (- 0.0 im)) (exp im))))