(FPCore (re im) :precision binary64 (* (* 0.5 (sin re)) (- (exp (- im)) (exp im))))
(FPCore (re im) :precision binary64 (* (sin re) (- (fma 0.16666666666666666 (pow im 3.0) im))))
double code(double re, double im) {
return (0.5 * sin(re)) * (exp(-im) - exp(im));
}
double code(double re, double im) {
return sin(re) * -fma(0.16666666666666666, pow(im, 3.0), im);
}
function code(re, im) return Float64(Float64(0.5 * sin(re)) * Float64(exp(Float64(-im)) - exp(im))) end
function code(re, im) return Float64(sin(re) * Float64(-fma(0.16666666666666666, (im ^ 3.0), im))) end
code[re_, im_] := N[(N[(0.5 * N[Sin[re], $MachinePrecision]), $MachinePrecision] * N[(N[Exp[(-im)], $MachinePrecision] - N[Exp[im], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
code[re_, im_] := N[(N[Sin[re], $MachinePrecision] * (-N[(0.16666666666666666 * N[Power[im, 3.0], $MachinePrecision] + im), $MachinePrecision])), $MachinePrecision]
\left(0.5 \cdot \sin re\right) \cdot \left(e^{-im} - e^{im}\right)
\sin re \cdot \left(-\mathsf{fma}\left(0.16666666666666666, {im}^{3}, im\right)\right)




Bits error versus re




Bits error versus im
| Original | 43.1 |
|---|---|
| Target | 0.3 |
| Herbie | 0.9 |
Initial program 43.1
Taylor expanded in im around 0 0.9
Simplified0.9
Applied add-cube-cbrt_binary641.8
Applied associate-*r*_binary641.8
Simplified1.8
Applied associate-*l*_binary641.8
Simplified0.9
Final simplification0.9
herbie shell --seed 2022131
(FPCore (re im)
:name "math.cos on complex, imaginary part"
:precision binary64
:herbie-target
(if (< (fabs im) 1.0) (- (* (sin re) (+ (+ im (* (* (* 0.16666666666666666 im) im) im)) (* (* (* (* (* 0.008333333333333333 im) im) im) im) im)))) (* (* 0.5 (sin re)) (- (exp (- im)) (exp im))))
(* (* 0.5 (sin re)) (- (exp (- im)) (exp im))))