powComplex, imaginary part

Average Error: 33.4 → 15.5

Time: 31.0s

Precision: binary64

Cost: 40016

Math

\[e^{\log \left(\sqrt{x.re \cdot x.re + x.im \cdot x.im}\right) \cdot y.re - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im} \cdot \sin \left(\log \left(\sqrt{x.re \cdot x.re + x.im \cdot x.im}\right) \cdot y.im + \tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right) \]

↓

\[\begin{array}{l} t_0 := \tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\\ t_1 := \log \left(-x.re\right)\\ t_2 := \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im\\ t_3 := e^{\log x.re \cdot y.re - t_2} \cdot \sin \left(\log x.re \cdot y.im + t_0\right)\\ t_4 := e^{\frac{y.re \cdot \log \left(x.re \cdot x.re + x.im \cdot x.im\right)}{2} - t_2} \cdot \left(y.re \cdot \tan^{-1}_* \frac{x.im}{x.re}\right)\\ \mathbf{if}\;x.re \leq -7.5 \cdot 10^{-100}:\\ \;\;\;\;e^{t_1 \cdot y.re - t_2} \cdot \sin \left(t_1 \cdot y.im + t_0\right)\\ \mathbf{elif}\;x.re \leq 6.2 \cdot 10^{-288}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;x.re \leq 3.5 \cdot 10^{-222}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;x.re \leq 2.5 \cdot 10^{-162}:\\ \;\;\;\;t_4\\ \mathbf{else}:\\ \;\;\;\;t_3\\ \end{array} \]

FPCore

(FPCore (x.re x.im y.re y.im)
 :precision binary64
 (*
  (exp
   (-
    (* (log (sqrt (+ (* x.re x.re) (* x.im x.im)))) y.re)
    (* (atan2 x.im x.re) y.im)))
  (sin
   (+
    (* (log (sqrt (+ (* x.re x.re) (* x.im x.im)))) y.im)
    (* (atan2 x.im x.re) y.re)))))

↓

(FPCore (x.re x.im y.re y.im)
 :precision binary64
 (let* ((t_0 (* (atan2 x.im x.re) y.re))
        (t_1 (log (- x.re)))
        (t_2 (* (atan2 x.im x.re) y.im))
        (t_3
         (*
          (exp (- (* (log x.re) y.re) t_2))
          (sin (+ (* (log x.re) y.im) t_0))))
        (t_4
         (*
          (exp (- (/ (* y.re (log (+ (* x.re x.re) (* x.im x.im)))) 2.0) t_2))
          (* y.re (atan2 x.im x.re)))))
   (if (<= x.re -7.5e-100)
     (* (exp (- (* t_1 y.re) t_2)) (sin (+ (* t_1 y.im) t_0)))
     (if (<= x.re 6.2e-288)
       t_4
       (if (<= x.re 3.5e-222) t_3 (if (<= x.re 2.5e-162) t_4 t_3))))))

C

double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
	return exp(((log(sqrt(((x_46_re * x_46_re) + (x_46_im * x_46_im)))) * y_46_re) - (atan2(x_46_im, x_46_re) * y_46_im))) * sin(((log(sqrt(((x_46_re * x_46_re) + (x_46_im * x_46_im)))) * y_46_im) + (atan2(x_46_im, x_46_re) * y_46_re)));
}

↓

double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
	double t_0 = atan2(x_46_im, x_46_re) * y_46_re;
	double t_1 = log(-x_46_re);
	double t_2 = atan2(x_46_im, x_46_re) * y_46_im;
	double t_3 = exp(((log(x_46_re) * y_46_re) - t_2)) * sin(((log(x_46_re) * y_46_im) + t_0));
	double t_4 = exp((((y_46_re * log(((x_46_re * x_46_re) + (x_46_im * x_46_im)))) / 2.0) - t_2)) * (y_46_re * atan2(x_46_im, x_46_re));
	double tmp;
	if (x_46_re <= -7.5e-100) {
		tmp = exp(((t_1 * y_46_re) - t_2)) * sin(((t_1 * y_46_im) + t_0));
	} else if (x_46_re <= 6.2e-288) {
		tmp = t_4;
	} else if (x_46_re <= 3.5e-222) {
		tmp = t_3;
	} else if (x_46_re <= 2.5e-162) {
		tmp = t_4;
	} else {
		tmp = t_3;
	}
	return tmp;
}

Fortran

real(8) function code(x_46re, x_46im, y_46re, y_46im)
    real(8), intent (in) :: x_46re
    real(8), intent (in) :: x_46im
    real(8), intent (in) :: y_46re
    real(8), intent (in) :: y_46im
    code = exp(((log(sqrt(((x_46re * x_46re) + (x_46im * x_46im)))) * y_46re) - (atan2(x_46im, x_46re) * y_46im))) * sin(((log(sqrt(((x_46re * x_46re) + (x_46im * x_46im)))) * y_46im) + (atan2(x_46im, x_46re) * y_46re)))
end function

↓

real(8) function code(x_46re, x_46im, y_46re, y_46im)
    real(8), intent (in) :: x_46re
    real(8), intent (in) :: x_46im
    real(8), intent (in) :: y_46re
    real(8), intent (in) :: y_46im
    real(8) :: t_0
    real(8) :: t_1
    real(8) :: t_2
    real(8) :: t_3
    real(8) :: t_4
    real(8) :: tmp
    t_0 = atan2(x_46im, x_46re) * y_46re
    t_1 = log(-x_46re)
    t_2 = atan2(x_46im, x_46re) * y_46im
    t_3 = exp(((log(x_46re) * y_46re) - t_2)) * sin(((log(x_46re) * y_46im) + t_0))
    t_4 = exp((((y_46re * log(((x_46re * x_46re) + (x_46im * x_46im)))) / 2.0d0) - t_2)) * (y_46re * atan2(x_46im, x_46re))
    if (x_46re <= (-7.5d-100)) then
        tmp = exp(((t_1 * y_46re) - t_2)) * sin(((t_1 * y_46im) + t_0))
    else if (x_46re <= 6.2d-288) then
        tmp = t_4
    else if (x_46re <= 3.5d-222) then
        tmp = t_3
    else if (x_46re <= 2.5d-162) then
        tmp = t_4
    else
        tmp = t_3
    end if
    code = tmp
end function

Java

public static double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
	return Math.exp(((Math.log(Math.sqrt(((x_46_re * x_46_re) + (x_46_im * x_46_im)))) * y_46_re) - (Math.atan2(x_46_im, x_46_re) * y_46_im))) * Math.sin(((Math.log(Math.sqrt(((x_46_re * x_46_re) + (x_46_im * x_46_im)))) * y_46_im) + (Math.atan2(x_46_im, x_46_re) * y_46_re)));
}

↓

public static double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
	double t_0 = Math.atan2(x_46_im, x_46_re) * y_46_re;
	double t_1 = Math.log(-x_46_re);
	double t_2 = Math.atan2(x_46_im, x_46_re) * y_46_im;
	double t_3 = Math.exp(((Math.log(x_46_re) * y_46_re) - t_2)) * Math.sin(((Math.log(x_46_re) * y_46_im) + t_0));
	double t_4 = Math.exp((((y_46_re * Math.log(((x_46_re * x_46_re) + (x_46_im * x_46_im)))) / 2.0) - t_2)) * (y_46_re * Math.atan2(x_46_im, x_46_re));
	double tmp;
	if (x_46_re <= -7.5e-100) {
		tmp = Math.exp(((t_1 * y_46_re) - t_2)) * Math.sin(((t_1 * y_46_im) + t_0));
	} else if (x_46_re <= 6.2e-288) {
		tmp = t_4;
	} else if (x_46_re <= 3.5e-222) {
		tmp = t_3;
	} else if (x_46_re <= 2.5e-162) {
		tmp = t_4;
	} else {
		tmp = t_3;
	}
	return tmp;
}

Python

def code(x_46_re, x_46_im, y_46_re, y_46_im):
	return math.exp(((math.log(math.sqrt(((x_46_re * x_46_re) + (x_46_im * x_46_im)))) * y_46_re) - (math.atan2(x_46_im, x_46_re) * y_46_im))) * math.sin(((math.log(math.sqrt(((x_46_re * x_46_re) + (x_46_im * x_46_im)))) * y_46_im) + (math.atan2(x_46_im, x_46_re) * y_46_re)))

↓

def code(x_46_re, x_46_im, y_46_re, y_46_im):
	t_0 = math.atan2(x_46_im, x_46_re) * y_46_re
	t_1 = math.log(-x_46_re)
	t_2 = math.atan2(x_46_im, x_46_re) * y_46_im
	t_3 = math.exp(((math.log(x_46_re) * y_46_re) - t_2)) * math.sin(((math.log(x_46_re) * y_46_im) + t_0))
	t_4 = math.exp((((y_46_re * math.log(((x_46_re * x_46_re) + (x_46_im * x_46_im)))) / 2.0) - t_2)) * (y_46_re * math.atan2(x_46_im, x_46_re))
	tmp = 0
	if x_46_re <= -7.5e-100:
		tmp = math.exp(((t_1 * y_46_re) - t_2)) * math.sin(((t_1 * y_46_im) + t_0))
	elif x_46_re <= 6.2e-288:
		tmp = t_4
	elif x_46_re <= 3.5e-222:
		tmp = t_3
	elif x_46_re <= 2.5e-162:
		tmp = t_4
	else:
		tmp = t_3
	return tmp

Julia

function code(x_46_re, x_46_im, y_46_re, y_46_im)
	return Float64(exp(Float64(Float64(log(sqrt(Float64(Float64(x_46_re * x_46_re) + Float64(x_46_im * x_46_im)))) * y_46_re) - Float64(atan(x_46_im, x_46_re) * y_46_im))) * sin(Float64(Float64(log(sqrt(Float64(Float64(x_46_re * x_46_re) + Float64(x_46_im * x_46_im)))) * y_46_im) + Float64(atan(x_46_im, x_46_re) * y_46_re))))
end

↓

function code(x_46_re, x_46_im, y_46_re, y_46_im)
	t_0 = Float64(atan(x_46_im, x_46_re) * y_46_re)
	t_1 = log(Float64(-x_46_re))
	t_2 = Float64(atan(x_46_im, x_46_re) * y_46_im)
	t_3 = Float64(exp(Float64(Float64(log(x_46_re) * y_46_re) - t_2)) * sin(Float64(Float64(log(x_46_re) * y_46_im) + t_0)))
	t_4 = Float64(exp(Float64(Float64(Float64(y_46_re * log(Float64(Float64(x_46_re * x_46_re) + Float64(x_46_im * x_46_im)))) / 2.0) - t_2)) * Float64(y_46_re * atan(x_46_im, x_46_re)))
	tmp = 0.0
	if (x_46_re <= -7.5e-100)
		tmp = Float64(exp(Float64(Float64(t_1 * y_46_re) - t_2)) * sin(Float64(Float64(t_1 * y_46_im) + t_0)));
	elseif (x_46_re <= 6.2e-288)
		tmp = t_4;
	elseif (x_46_re <= 3.5e-222)
		tmp = t_3;
	elseif (x_46_re <= 2.5e-162)
		tmp = t_4;
	else
		tmp = t_3;
	end
	return tmp
end

MATLAB

function tmp = code(x_46_re, x_46_im, y_46_re, y_46_im)
	tmp = exp(((log(sqrt(((x_46_re * x_46_re) + (x_46_im * x_46_im)))) * y_46_re) - (atan2(x_46_im, x_46_re) * y_46_im))) * sin(((log(sqrt(((x_46_re * x_46_re) + (x_46_im * x_46_im)))) * y_46_im) + (atan2(x_46_im, x_46_re) * y_46_re)));
end

↓

function tmp_2 = code(x_46_re, x_46_im, y_46_re, y_46_im)
	t_0 = atan2(x_46_im, x_46_re) * y_46_re;
	t_1 = log(-x_46_re);
	t_2 = atan2(x_46_im, x_46_re) * y_46_im;
	t_3 = exp(((log(x_46_re) * y_46_re) - t_2)) * sin(((log(x_46_re) * y_46_im) + t_0));
	t_4 = exp((((y_46_re * log(((x_46_re * x_46_re) + (x_46_im * x_46_im)))) / 2.0) - t_2)) * (y_46_re * atan2(x_46_im, x_46_re));
	tmp = 0.0;
	if (x_46_re <= -7.5e-100)
		tmp = exp(((t_1 * y_46_re) - t_2)) * sin(((t_1 * y_46_im) + t_0));
	elseif (x_46_re <= 6.2e-288)
		tmp = t_4;
	elseif (x_46_re <= 3.5e-222)
		tmp = t_3;
	elseif (x_46_re <= 2.5e-162)
		tmp = t_4;
	else
		tmp = t_3;
	end
	tmp_2 = tmp;
end

Wolfram

code[x$46$re_, x$46$im_, y$46$re_, y$46$im_] := N[(N[Exp[N[(N[(N[Log[N[Sqrt[N[(N[(x$46$re * x$46$re), $MachinePrecision] + N[(x$46$im * x$46$im), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * y$46$re), $MachinePrecision] - N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$im), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(N[(N[Log[N[Sqrt[N[(N[(x$46$re * x$46$re), $MachinePrecision] + N[(x$46$im * x$46$im), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * y$46$im), $MachinePrecision] + N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$re), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]

↓

code[x$46$re_, x$46$im_, y$46$re_, y$46$im_] := Block[{t$95$0 = N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$re), $MachinePrecision]}, Block[{t$95$1 = N[Log[(-x$46$re)], $MachinePrecision]}, Block[{t$95$2 = N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$im), $MachinePrecision]}, Block[{t$95$3 = N[(N[Exp[N[(N[(N[Log[x$46$re], $MachinePrecision] * y$46$re), $MachinePrecision] - t$95$2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(N[(N[Log[x$46$re], $MachinePrecision] * y$46$im), $MachinePrecision] + t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Exp[N[(N[(N[(y$46$re * N[Log[N[(N[(x$46$re * x$46$re), $MachinePrecision] + N[(x$46$im * x$46$im), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision] - t$95$2), $MachinePrecision]], $MachinePrecision] * N[(y$46$re * N[ArcTan[x$46$im / x$46$re], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x$46$re, -7.5e-100], N[(N[Exp[N[(N[(t$95$1 * y$46$re), $MachinePrecision] - t$95$2), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(N[(t$95$1 * y$46$im), $MachinePrecision] + t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[x$46$re, 6.2e-288], t$95$4, If[LessEqual[x$46$re, 3.5e-222], t$95$3, If[LessEqual[x$46$re, 2.5e-162], t$95$4, t$95$3]]]]]]]]]

Derivation

1. Split input into 3 regimes

2. if x.re < -7.50000000000000015e-100

   1. Initial program 34.6

      \[e^{\log \left(\sqrt{x.re \cdot x.re + x.im \cdot x.im}\right) \cdot y.re - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im} \cdot \sin \left(\log \left(\sqrt{x.re \cdot x.re + x.im \cdot x.im}\right) \cdot y.im + \tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right) \]

   2. Taylor expanded in x.re around -inf 35.7

      \[\leadsto e^{\log \color{blue}{\left(-1 \cdot x.re\right)} \cdot y.re - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im} \cdot \sin \left(\log \left(\sqrt{x.re \cdot x.re + x.im \cdot x.im}\right) \cdot y.im + \tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right) \]

   3. Simplified 35.7

      \[\leadsto e^{\log \color{blue}{\left(-x.re\right)} \cdot y.re - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im} \cdot \sin \left(\log \left(\sqrt{x.re \cdot x.re + x.im \cdot x.im}\right) \cdot y.im + \tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right) \]
      Proof

      [Start] 35.7	\[ e^{\log \left(-1 \cdot x.re\right) \cdot y.re - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im} \cdot \sin \left(\log \left(\sqrt{x.re \cdot x.re + x.im \cdot x.im}\right) \cdot y.im + \tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right) \]
      rational.json-simplify-2 [=>] 35.7	\[ e^{\log \color{blue}{\left(x.re \cdot -1\right)} \cdot y.re - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im} \cdot \sin \left(\log \left(\sqrt{x.re \cdot x.re + x.im \cdot x.im}\right) \cdot y.im + \tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right) \]
      rational.json-simplify-9 [=>] 35.7	\[ e^{\log \color{blue}{\left(-x.re\right)} \cdot y.re - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im} \cdot \sin \left(\log \left(\sqrt{x.re \cdot x.re + x.im \cdot x.im}\right) \cdot y.im + \tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right) \]

   4. Taylor expanded in x.re around -inf 7.1

      \[\leadsto e^{\log \left(-x.re\right) \cdot y.re - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im} \cdot \sin \left(\log \color{blue}{\left(-1 \cdot x.re\right)} \cdot y.im + \tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right) \]

   5. Simplified 7.1

      \[\leadsto e^{\log \left(-x.re\right) \cdot y.re - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im} \cdot \sin \left(\log \color{blue}{\left(-x.re\right)} \cdot y.im + \tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right) \]
      Proof

      [Start] 7.1	\[ e^{\log \left(-x.re\right) \cdot y.re - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im} \cdot \sin \left(\log \left(-1 \cdot x.re\right) \cdot y.im + \tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right) \]
      rational.json-simplify-2 [=>] 7.1	\[ e^{\log \left(-x.re\right) \cdot y.re - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im} \cdot \sin \left(\log \color{blue}{\left(x.re \cdot -1\right)} \cdot y.im + \tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right) \]
      rational.json-simplify-9 [=>] 7.1	\[ e^{\log \left(-x.re\right) \cdot y.re - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im} \cdot \sin \left(\log \color{blue}{\left(-x.re\right)} \cdot y.im + \tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right) \]

   if -7.50000000000000015e-100 < x.re < 6.19999999999999967e-288 or 3.50000000000000024e-222 < x.re < 2.50000000000000007e-162

   1. Initial program 27.7

      \[e^{\log \left(\sqrt{x.re \cdot x.re + x.im \cdot x.im}\right) \cdot y.re - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im} \cdot \sin \left(\log \left(\sqrt{x.re \cdot x.re + x.im \cdot x.im}\right) \cdot y.im + \tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right) \]

   2. Taylor expanded in y.im around 0 22.8

      \[\leadsto e^{\log \left(\sqrt{x.re \cdot x.re + x.im \cdot x.im}\right) \cdot y.re - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im} \cdot \color{blue}{\sin \left(y.re \cdot \tan^{-1}_* \frac{x.im}{x.re}\right)} \]

   3. Taylor expanded in y.re around 0 23.0

      \[\leadsto e^{\log \left(\sqrt{x.re \cdot x.re + x.im \cdot x.im}\right) \cdot y.re - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im} \cdot \color{blue}{\left(y.re \cdot \tan^{-1}_* \frac{x.im}{x.re}\right)} \]

   4. Applied egg-rr 23.0

      \[\leadsto e^{\color{blue}{\frac{y.re \cdot \log \left(x.re \cdot x.re + x.im \cdot x.im\right)}{2}} - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im} \cdot \left(y.re \cdot \tan^{-1}_* \frac{x.im}{x.re}\right) \]

   if 6.19999999999999967e-288 < x.re < 3.50000000000000024e-222 or 2.50000000000000007e-162 < x.re

   1. Initial program 35.4

      \[e^{\log \left(\sqrt{x.re \cdot x.re + x.im \cdot x.im}\right) \cdot y.re - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im} \cdot \sin \left(\log \left(\sqrt{x.re \cdot x.re + x.im \cdot x.im}\right) \cdot y.im + \tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right) \]

   2. Taylor expanded in x.re around inf 37.9

      \[\leadsto e^{\log \color{blue}{x.re} \cdot y.re - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im} \cdot \sin \left(\log \left(\sqrt{x.re \cdot x.re + x.im \cdot x.im}\right) \cdot y.im + \tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right) \]

   3. Taylor expanded in x.re around inf 17.9

      \[\leadsto e^{\log x.re \cdot y.re - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im} \cdot \sin \left(\log \color{blue}{x.re} \cdot y.im + \tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right) \]
3. Recombined 3 regimes into one program.

4. Final simplification 15.5

   \[\leadsto \begin{array}{l} \mathbf{if}\;x.re \leq -7.5 \cdot 10^{-100}:\\ \;\;\;\;e^{\log \left(-x.re\right) \cdot y.re - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im} \cdot \sin \left(\log \left(-x.re\right) \cdot y.im + \tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right)\\ \mathbf{elif}\;x.re \leq 6.2 \cdot 10^{-288}:\\ \;\;\;\;e^{\frac{y.re \cdot \log \left(x.re \cdot x.re + x.im \cdot x.im\right)}{2} - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im} \cdot \left(y.re \cdot \tan^{-1}_* \frac{x.im}{x.re}\right)\\ \mathbf{elif}\;x.re \leq 3.5 \cdot 10^{-222}:\\ \;\;\;\;e^{\log x.re \cdot y.re - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im} \cdot \sin \left(\log x.re \cdot y.im + \tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right)\\ \mathbf{elif}\;x.re \leq 2.5 \cdot 10^{-162}:\\ \;\;\;\;e^{\frac{y.re \cdot \log \left(x.re \cdot x.re + x.im \cdot x.im\right)}{2} - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im} \cdot \left(y.re \cdot \tan^{-1}_* \frac{x.im}{x.re}\right)\\ \mathbf{else}:\\ \;\;\;\;e^{\log x.re \cdot y.re - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im} \cdot \sin \left(\log x.re \cdot y.im + \tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right)\\ \end{array} \]

Alternatives

Alternative 1
Error	18.3
Cost	40016

\[\begin{array}{l} t_0 := y.re \cdot \tan^{-1}_* \frac{x.im}{x.re}\\ t_1 := \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im\\ t_2 := e^{\log x.re \cdot y.re - t_1} \cdot \sin \left(\log x.re \cdot y.im + \tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right)\\ t_3 := e^{\frac{y.re \cdot \log \left(x.re \cdot x.re + x.im \cdot x.im\right)}{2} - t_1} \cdot t_0\\ \mathbf{if}\;x.re \leq -3.5 \cdot 10^{-99}:\\ \;\;\;\;e^{\log \left(-x.re\right) \cdot y.re - t_1} \cdot \sin t_0\\ \mathbf{elif}\;x.re \leq 4.8 \cdot 10^{-287}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;x.re \leq 9.6 \cdot 10^{-222}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;x.re \leq 7 \cdot 10^{-160}:\\ \;\;\;\;t_3\\ \mathbf{else}:\\ \;\;\;\;t_2\\ \end{array} \]

Alternative 2
Error	18.4
Cost	39752

\[\begin{array}{l} t_0 := y.re \cdot \tan^{-1}_* \frac{x.im}{x.re}\\ t_1 := \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im\\ \mathbf{if}\;x.im \leq -0.0001:\\ \;\;\;\;e^{\log \left(-x.im\right) \cdot y.re - t_1} \cdot \sin t_0\\ \mathbf{elif}\;x.im \leq 1.32 \cdot 10^{-106}:\\ \;\;\;\;e^{\frac{y.re \cdot \log \left(x.re \cdot x.re + x.im \cdot x.im\right)}{2} - t_1} \cdot t_0\\ \mathbf{else}:\\ \;\;\;\;e^{\log x.im \cdot y.re - t_1} \cdot \sin \left(\log x.im \cdot y.im + \tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right)\\ \end{array} \]

Alternative 3
Error	29.6
Cost	27356

\[\begin{array}{l} t_0 := y.re \cdot \frac{\tan^{-1}_* \frac{x.im}{x.re}}{e^{y.im \cdot \tan^{-1}_* \frac{x.im}{x.re}}}\\ t_1 := y.re \cdot \tan^{-1}_* \frac{x.im}{x.re}\\ t_2 := \left(\left(\sin t_1 - -1\right) - 1\right) \cdot {x.im}^{y.re}\\ t_3 := e^{\log x.re \cdot y.re - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im} \cdot t_1\\ \mathbf{if}\;x.re \leq -2.3 \cdot 10^{+88}:\\ \;\;\;\;y.re \cdot \left(\tan^{-1}_* \frac{x.im}{x.re} \cdot {\left(-x.re\right)}^{y.re}\right)\\ \mathbf{elif}\;x.re \leq -2 \cdot 10^{-116}:\\ \;\;\;\;t_0\\ \mathbf{elif}\;x.re \leq -8 \cdot 10^{-153}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;x.re \leq -4.8 \cdot 10^{-300}:\\ \;\;\;\;t_0\\ \mathbf{elif}\;x.re \leq 9.5 \cdot 10^{-297}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;x.re \leq 10^{-221}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;x.re \leq 6 \cdot 10^{-192}:\\ \;\;\;\;t_1 \cdot {x.im}^{y.re}\\ \mathbf{else}:\\ \;\;\;\;t_3\\ \end{array} \]

Alternative 4
Error	25.0
Cost	27224

\[\begin{array}{l} t_0 := y.re \cdot \tan^{-1}_* \frac{x.im}{x.re}\\ t_1 := \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im\\ t_2 := e^{\log \left(-x.re\right) \cdot y.re - t_1} \cdot t_0\\ t_3 := \left(\left(\sin t_0 - -1\right) - 1\right) \cdot {x.im}^{y.re}\\ t_4 := e^{\log x.re \cdot y.re - t_1} \cdot t_0\\ \mathbf{if}\;x.re \leq -5 \cdot 10^{-116}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;x.re \leq -1 \cdot 10^{-151}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;x.re \leq -1.35 \cdot 10^{-247}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;x.re \leq 2.4 \cdot 10^{-295}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;x.re \leq 8.6 \cdot 10^{-222}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;x.re \leq 1.65 \cdot 10^{-191}:\\ \;\;\;\;t_0 \cdot {x.im}^{y.re}\\ \mathbf{else}:\\ \;\;\;\;t_4\\ \end{array} \]

Alternative 5
Error	20.7
Cost	27076

\[\begin{array}{l} t_0 := y.re \cdot \tan^{-1}_* \frac{x.im}{x.re}\\ \mathbf{if}\;y.re \leq -1 \cdot 10^{-16}:\\ \;\;\;\;e^{\frac{y.re \cdot \log \left(x.re \cdot x.re + x.im \cdot x.im\right)}{2} - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im} \cdot t_0\\ \mathbf{elif}\;y.re \leq 4.2 \cdot 10^{+31}:\\ \;\;\;\;y.re \cdot \frac{\tan^{-1}_* \frac{x.im}{x.re}}{e^{y.im \cdot \tan^{-1}_* \frac{x.im}{x.re}}}\\ \mathbf{else}:\\ \;\;\;\;t_0 \cdot {x.im}^{y.re}\\ \end{array} \]

Alternative 6
Error	27.1
Cost	20040

\[\begin{array}{l} t_0 := \left(y.re \cdot \tan^{-1}_* \frac{x.im}{x.re}\right) \cdot {x.im}^{y.re}\\ \mathbf{if}\;y.re \leq -1.7 \cdot 10^{+43}:\\ \;\;\;\;t_0\\ \mathbf{elif}\;y.re \leq 4.5 \cdot 10^{+31}:\\ \;\;\;\;y.re \cdot \frac{\tan^{-1}_* \frac{x.im}{x.re}}{e^{y.im \cdot \tan^{-1}_* \frac{x.im}{x.re}}}\\ \mathbf{else}:\\ \;\;\;\;t_0\\ \end{array} \]

Alternative 7
Error	37.1
Cost	13776

\[\begin{array}{l} t_0 := y.re \cdot \tan^{-1}_* \frac{x.im}{x.re}\\ t_1 := t_0 \cdot {x.im}^{y.re}\\ t_2 := y.re \cdot \left(\tan^{-1}_* \frac{x.im}{x.re} \cdot {\left(-x.re\right)}^{y.re}\right)\\ \mathbf{if}\;x.re \leq -8 \cdot 10^{-14}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;x.re \leq 65000000000000:\\ \;\;\;\;t_1\\ \mathbf{elif}\;x.re \leq 5 \cdot 10^{+165}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;x.re \leq 5.8 \cdot 10^{+183}:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;t_0\\ \end{array} \]

Alternative 8
Error	36.9
Cost	13512

\[\begin{array}{l} t_0 := y.re \cdot \tan^{-1}_* \frac{x.im}{x.re}\\ t_1 := t_0 \cdot {x.im}^{y.re}\\ \mathbf{if}\;y.re \leq -360000000000:\\ \;\;\;\;t_1\\ \mathbf{elif}\;y.re \leq 9000:\\ \;\;\;\;t_0\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]

Alternative 9
Error	51.2
Cost	6656

\[y.re \cdot \tan^{-1}_* \frac{x.im}{x.re} \]

Reproduce

herbie shell --seed 2023074 
(FPCore (x.re x.im y.re y.im)
  :name "powComplex, imaginary part"
  :precision binary64
  (* (exp (- (* (log (sqrt (+ (* x.re x.re) (* x.im x.im)))) y.re) (* (atan2 x.im x.re) y.im))) (sin (+ (* (log (sqrt (+ (* x.re x.re) (* x.im x.im)))) y.im) (* (atan2 x.im x.re) y.re)))))