math.cube on complex, imaginary part

Percentage Accurate: 82.5% → 99.4%

Time: 2.8s

Alternatives: 7

Speedup: 1.7×

• 55.4% of points produce a very large (infinite) output. You may want to add a precondition.

Specification

Math

\[\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im + \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re \]

FPCore

(FPCore (x.re x.im)
  :precision binary64
  (+
 (* (- (* x.re x.re) (* x.im x.im)) x.im)
 (* (+ (* x.re x.im) (* x.im x.re)) x.re)))

C

double code(double x_46_re, double x_46_im) {
	return (((x_46_re * x_46_re) - (x_46_im * x_46_im)) * x_46_im) + (((x_46_re * x_46_im) + (x_46_im * x_46_re)) * x_46_re);
}

Fortran

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(x_46re, x_46im)
use fmin_fmax_functions
    real(8), intent (in) :: x_46re
    real(8), intent (in) :: x_46im
    code = (((x_46re * x_46re) - (x_46im * x_46im)) * x_46im) + (((x_46re * x_46im) + (x_46im * x_46re)) * x_46re)
end function

Java

public static double code(double x_46_re, double x_46_im) {
	return (((x_46_re * x_46_re) - (x_46_im * x_46_im)) * x_46_im) + (((x_46_re * x_46_im) + (x_46_im * x_46_re)) * x_46_re);
}

Python

def code(x_46_re, x_46_im):
	return (((x_46_re * x_46_re) - (x_46_im * x_46_im)) * x_46_im) + (((x_46_re * x_46_im) + (x_46_im * x_46_re)) * x_46_re)

Julia

function code(x_46_re, x_46_im)
	return Float64(Float64(Float64(Float64(x_46_re * x_46_re) - Float64(x_46_im * x_46_im)) * x_46_im) + Float64(Float64(Float64(x_46_re * x_46_im) + Float64(x_46_im * x_46_re)) * x_46_re))
end

MATLAB

function tmp = code(x_46_re, x_46_im)
	tmp = (((x_46_re * x_46_re) - (x_46_im * x_46_im)) * x_46_im) + (((x_46_re * x_46_im) + (x_46_im * x_46_re)) * x_46_re);
end

Wolfram

code[x$46$re_, x$46$im_] := N[(N[(N[(N[(x$46$re * x$46$re), $MachinePrecision] - N[(x$46$im * x$46$im), $MachinePrecision]), $MachinePrecision] * x$46$im), $MachinePrecision] + N[(N[(N[(x$46$re * x$46$im), $MachinePrecision] + N[(x$46$im * x$46$re), $MachinePrecision]), $MachinePrecision] * x$46$re), $MachinePrecision]), $MachinePrecision]

Initial Program: 82.5% accurate, 1.0× speedup

Math

\[\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im + \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re \]

FPCore

(FPCore (x.re x.im)
  :precision binary64
  (+
 (* (- (* x.re x.re) (* x.im x.im)) x.im)
 (* (+ (* x.re x.im) (* x.im x.re)) x.re)))

C

double code(double x_46_re, double x_46_im) {
	return (((x_46_re * x_46_re) - (x_46_im * x_46_im)) * x_46_im) + (((x_46_re * x_46_im) + (x_46_im * x_46_re)) * x_46_re);
}

Fortran

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(x_46re, x_46im)
use fmin_fmax_functions
    real(8), intent (in) :: x_46re
    real(8), intent (in) :: x_46im
    code = (((x_46re * x_46re) - (x_46im * x_46im)) * x_46im) + (((x_46re * x_46im) + (x_46im * x_46re)) * x_46re)
end function

Java

public static double code(double x_46_re, double x_46_im) {
	return (((x_46_re * x_46_re) - (x_46_im * x_46_im)) * x_46_im) + (((x_46_re * x_46_im) + (x_46_im * x_46_re)) * x_46_re);
}

Python

def code(x_46_re, x_46_im):
	return (((x_46_re * x_46_re) - (x_46_im * x_46_im)) * x_46_im) + (((x_46_re * x_46_im) + (x_46_im * x_46_re)) * x_46_re)

Julia

function code(x_46_re, x_46_im)
	return Float64(Float64(Float64(Float64(x_46_re * x_46_re) - Float64(x_46_im * x_46_im)) * x_46_im) + Float64(Float64(Float64(x_46_re * x_46_im) + Float64(x_46_im * x_46_re)) * x_46_re))
end

MATLAB

function tmp = code(x_46_re, x_46_im)
	tmp = (((x_46_re * x_46_re) - (x_46_im * x_46_im)) * x_46_im) + (((x_46_re * x_46_im) + (x_46_im * x_46_re)) * x_46_re);
end

Wolfram

code[x$46$re_, x$46$im_] := N[(N[(N[(N[(x$46$re * x$46$re), $MachinePrecision] - N[(x$46$im * x$46$im), $MachinePrecision]), $MachinePrecision] * x$46$im), $MachinePrecision] + N[(N[(N[(x$46$re * x$46$im), $MachinePrecision] + N[(x$46$im * x$46$re), $MachinePrecision]), $MachinePrecision] * x$46$re), $MachinePrecision]), $MachinePrecision]

Alternative 1: 99.4% accurate, 0.8× speedup

Math

\[\mathsf{copysign}\left(1, x.im\right) \cdot \begin{array}{l} \mathbf{if}\;\left|x.im\right| \leq 7 \cdot 10^{+55}:\\ \;\;\;\;\left(\left(3 \cdot \left|x.im\right|\right) \cdot \left|x.re\right|\right) \cdot \left|x.re\right| - \left(\left|x.im\right| \cdot \left|x.im\right|\right) \cdot \left|x.im\right|\\ \mathbf{else}:\\ \;\;\;\;\left|x.im\right| \cdot \mathsf{fma}\left(\left|x.re\right| + \left|x.re\right|, \left|x.re\right|, \left(\left|x.re\right| - \left|x.im\right|\right) \cdot \left|x.im\right|\right)\\ \end{array} \]

FPCore

(FPCore (x.re x.im)
  :precision binary64
  (*
 (copysign 1.0 x.im)
 (if (<= (fabs x.im) 7e+55)
   (-
    (* (* (* 3.0 (fabs x.im)) (fabs x.re)) (fabs x.re))
    (* (* (fabs x.im) (fabs x.im)) (fabs x.im)))
   (*
    (fabs x.im)
    (fma
     (+ (fabs x.re) (fabs x.re))
     (fabs x.re)
     (* (- (fabs x.re) (fabs x.im)) (fabs x.im)))))))

C

double code(double x_46_re, double x_46_im) {
	double tmp;
	if (fabs(x_46_im) <= 7e+55) {
		tmp = (((3.0 * fabs(x_46_im)) * fabs(x_46_re)) * fabs(x_46_re)) - ((fabs(x_46_im) * fabs(x_46_im)) * fabs(x_46_im));
	} else {
		tmp = fabs(x_46_im) * fma((fabs(x_46_re) + fabs(x_46_re)), fabs(x_46_re), ((fabs(x_46_re) - fabs(x_46_im)) * fabs(x_46_im)));
	}
	return copysign(1.0, x_46_im) * tmp;
}

Julia

function code(x_46_re, x_46_im)
	tmp = 0.0
	if (abs(x_46_im) <= 7e+55)
		tmp = Float64(Float64(Float64(Float64(3.0 * abs(x_46_im)) * abs(x_46_re)) * abs(x_46_re)) - Float64(Float64(abs(x_46_im) * abs(x_46_im)) * abs(x_46_im)));
	else
		tmp = Float64(abs(x_46_im) * fma(Float64(abs(x_46_re) + abs(x_46_re)), abs(x_46_re), Float64(Float64(abs(x_46_re) - abs(x_46_im)) * abs(x_46_im))));
	end
	return Float64(copysign(1.0, x_46_im) * tmp)
end

Wolfram

code[x$46$re_, x$46$im_] := N[(N[With[{TMP1 = Abs[1.0], TMP2 = Sign[x$46$im]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision] * If[LessEqual[N[Abs[x$46$im], $MachinePrecision], 7e+55], N[(N[(N[(N[(3.0 * N[Abs[x$46$im], $MachinePrecision]), $MachinePrecision] * N[Abs[x$46$re], $MachinePrecision]), $MachinePrecision] * N[Abs[x$46$re], $MachinePrecision]), $MachinePrecision] - N[(N[(N[Abs[x$46$im], $MachinePrecision] * N[Abs[x$46$im], $MachinePrecision]), $MachinePrecision] * N[Abs[x$46$im], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Abs[x$46$im], $MachinePrecision] * N[(N[(N[Abs[x$46$re], $MachinePrecision] + N[Abs[x$46$re], $MachinePrecision]), $MachinePrecision] * N[Abs[x$46$re], $MachinePrecision] + N[(N[(N[Abs[x$46$re], $MachinePrecision] - N[Abs[x$46$im], $MachinePrecision]), $MachinePrecision] * N[Abs[x$46$im], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]

Derivation

1. Split input into 2 regimes

2. if x.im < 7.0000000000000002e55

   1. Initial program 82.5%

      \[\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im + \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re \]
   2. Step-by-step derivation

      1. lift-+.f64 N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im + \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re} \]

      2. +-commutative N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im} \]

      3. lift-*.f64 N/A

         \[\leadsto \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \color{blue}{\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im} \]

      4. *-commutative N/A

         \[\leadsto \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \color{blue}{x.im \cdot \left(x.re \cdot x.re - x.im \cdot x.im\right)} \]

      5. lift--.f64 N/A

         \[\leadsto \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + x.im \cdot \color{blue}{\left(x.re \cdot x.re - x.im \cdot x.im\right)} \]

      6. lift-*.f64 N/A

         \[\leadsto \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + x.im \cdot \left(x.re \cdot x.re - \color{blue}{x.im \cdot x.im}\right) \]

      7. fp-cancel-sub-sign-inv N/A

         \[\leadsto \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + x.im \cdot \color{blue}{\left(x.re \cdot x.re + \left(\mathsf{neg}\left(x.im\right)\right) \cdot x.im\right)} \]

      8. distribute-rgt-in N/A

         \[\leadsto \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \color{blue}{\left(\left(x.re \cdot x.re\right) \cdot x.im + \left(\left(\mathsf{neg}\left(x.im\right)\right) \cdot x.im\right) \cdot x.im\right)} \]

      9. fp-cancel-sign-sub-inv N/A

         \[\leadsto \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \color{blue}{\left(\left(x.re \cdot x.re\right) \cdot x.im - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(x.im\right)\right) \cdot x.im\right)\right) \cdot x.im\right)} \]

      10. lift-*.f64 N/A

          \[\leadsto \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \left(\color{blue}{\left(x.re \cdot x.re\right)} \cdot x.im - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(x.im\right)\right) \cdot x.im\right)\right) \cdot x.im\right) \]

      11. associate-*l* N/A

          \[\leadsto \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \left(\color{blue}{x.re \cdot \left(x.re \cdot x.im\right)} - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(x.im\right)\right) \cdot x.im\right)\right) \cdot x.im\right) \]

      12. lift-*.f64 N/A

          \[\leadsto \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \left(x.re \cdot \color{blue}{\left(x.re \cdot x.im\right)} - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(x.im\right)\right) \cdot x.im\right)\right) \cdot x.im\right) \]

      13. fp-cancel-sign-sub-inv N/A

          \[\leadsto \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \color{blue}{\left(x.re \cdot \left(x.re \cdot x.im\right) + \left(\left(\mathsf{neg}\left(x.im\right)\right) \cdot x.im\right) \cdot x.im\right)} \]

      14. associate-+r+ N/A

          \[\leadsto \color{blue}{\left(\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + x.re \cdot \left(x.re \cdot x.im\right)\right) + \left(\left(\mathsf{neg}\left(x.im\right)\right) \cdot x.im\right) \cdot x.im} \]

      15. fp-cancel-sign-sub-inv N/A

          \[\leadsto \color{blue}{\left(\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + x.re \cdot \left(x.re \cdot x.im\right)\right) - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(x.im\right)\right) \cdot x.im\right)\right) \cdot x.im} \]

      16. lower--.f64 N/A

          \[\leadsto \color{blue}{\left(\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + x.re \cdot \left(x.re \cdot x.im\right)\right) - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(x.im\right)\right) \cdot x.im\right)\right) \cdot x.im} \]

   3. Applied rewrites 85.9%

      \[\leadsto \color{blue}{3 \cdot \left(\left(x.im \cdot x.re\right) \cdot x.re\right) - \left(x.im \cdot x.im\right) \cdot x.im} \]
   4. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto \color{blue}{3 \cdot \left(\left(x.im \cdot x.re\right) \cdot x.re\right)} - \left(x.im \cdot x.im\right) \cdot x.im \]

      2. lift-*.f64 N/A

         \[\leadsto 3 \cdot \color{blue}{\left(\left(x.im \cdot x.re\right) \cdot x.re\right)} - \left(x.im \cdot x.im\right) \cdot x.im \]

      3. associate-*r* N/A

         \[\leadsto \color{blue}{\left(3 \cdot \left(x.im \cdot x.re\right)\right) \cdot x.re} - \left(x.im \cdot x.im\right) \cdot x.im \]

      4. lower-*.f64 N/A

         \[\leadsto \color{blue}{\left(3 \cdot \left(x.im \cdot x.re\right)\right) \cdot x.re} - \left(x.im \cdot x.im\right) \cdot x.im \]

      5. lift-*.f64 N/A

         \[\leadsto \left(3 \cdot \color{blue}{\left(x.im \cdot x.re\right)}\right) \cdot x.re - \left(x.im \cdot x.im\right) \cdot x.im \]

      6. associate-*r* N/A

         \[\leadsto \color{blue}{\left(\left(3 \cdot x.im\right) \cdot x.re\right)} \cdot x.re - \left(x.im \cdot x.im\right) \cdot x.im \]

      7. metadata-eval N/A

         \[\leadsto \left(\left(\color{blue}{\left(2 + 1\right)} \cdot x.im\right) \cdot x.re\right) \cdot x.re - \left(x.im \cdot x.im\right) \cdot x.im \]

      8. distribute-lft1-in N/A

         \[\leadsto \left(\color{blue}{\left(2 \cdot x.im + x.im\right)} \cdot x.re\right) \cdot x.re - \left(x.im \cdot x.im\right) \cdot x.im \]

      9. lift-fma.f64 N/A

         \[\leadsto \left(\color{blue}{\mathsf{fma}\left(2, x.im, x.im\right)} \cdot x.re\right) \cdot x.re - \left(x.im \cdot x.im\right) \cdot x.im \]

      10. lower-*.f64 85.9%

          \[\leadsto \color{blue}{\left(\mathsf{fma}\left(2, x.im, x.im\right) \cdot x.re\right)} \cdot x.re - \left(x.im \cdot x.im\right) \cdot x.im \]

      11. lift-fma.f64 N/A

          \[\leadsto \left(\color{blue}{\left(2 \cdot x.im + x.im\right)} \cdot x.re\right) \cdot x.re - \left(x.im \cdot x.im\right) \cdot x.im \]

      12. distribute-lft1-in N/A

          \[\leadsto \left(\color{blue}{\left(\left(2 + 1\right) \cdot x.im\right)} \cdot x.re\right) \cdot x.re - \left(x.im \cdot x.im\right) \cdot x.im \]

      13. metadata-eval N/A

          \[\leadsto \left(\left(\color{blue}{3} \cdot x.im\right) \cdot x.re\right) \cdot x.re - \left(x.im \cdot x.im\right) \cdot x.im \]

      14. lower-*.f64 85.9%

          \[\leadsto \left(\color{blue}{\left(3 \cdot x.im\right)} \cdot x.re\right) \cdot x.re - \left(x.im \cdot x.im\right) \cdot x.im \]

   5. Applied rewrites 85.9%

      \[\leadsto \color{blue}{\left(\left(3 \cdot x.im\right) \cdot x.re\right) \cdot x.re} - \left(x.im \cdot x.im\right) \cdot x.im \]

   if 7.0000000000000002e55 < x.im

   1. Initial program 82.5%

      \[\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im + \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re \]
   2. Step-by-step derivation

      1. lift-+.f64 N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im + \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re} \]

      2. +-commutative N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im} \]

      3. add-flip N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re - \left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)} \]

      4. sub-flip N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right)} \]

      5. remove-double-neg N/A

         \[\leadsto \color{blue}{\left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re\right)\right)\right)\right)} + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      6. lift-*.f64 N/A

         \[\leadsto \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re}\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      7. distribute-rgt-neg-in N/A

         \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)}\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      8. lift-+.f64 N/A

         \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right)} \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      9. lift-*.f64 N/A

         \[\leadsto \left(\mathsf{neg}\left(\left(\color{blue}{x.re \cdot x.im} + x.im \cdot x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      10. lift-*.f64 N/A

          \[\leadsto \left(\mathsf{neg}\left(\left(x.re \cdot x.im + \color{blue}{x.im \cdot x.re}\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      11. *-commutative N/A

          \[\leadsto \left(\mathsf{neg}\left(\left(x.re \cdot x.im + \color{blue}{x.re \cdot x.im}\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      12. distribute-rgt-out N/A

          \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(x.im \cdot \left(x.re + x.re\right)\right)} \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      13. associate-*l* N/A

          \[\leadsto \left(\mathsf{neg}\left(\color{blue}{x.im \cdot \left(\left(x.re + x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)}\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      14. distribute-rgt-neg-in N/A

          \[\leadsto \color{blue}{x.im \cdot \left(\mathsf{neg}\left(\left(x.re + x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right)} + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      15. distribute-rgt-neg-out N/A

          \[\leadsto x.im \cdot \color{blue}{\left(\left(x.re + x.re\right) \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(x.re\right)\right)\right)\right)\right)} + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      16. remove-double-neg N/A

          \[\leadsto x.im \cdot \left(\left(x.re + x.re\right) \cdot \color{blue}{x.re}\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      17. lift-*.f64 N/A

          \[\leadsto x.im \cdot \left(\left(x.re + x.re\right) \cdot x.re\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im}\right)\right)\right)\right) \]

   3. Applied rewrites 93.9%

      \[\leadsto \color{blue}{x.im \cdot \mathsf{fma}\left(x.re + x.re, x.re, \left(x.re - x.im\right) \cdot \left(x.im + x.re\right)\right)} \]

   4. Taylor expanded in x.re around 0

      \[\leadsto x.im \cdot \mathsf{fma}\left(x.re + x.re, x.re, \left(x.re - x.im\right) \cdot \color{blue}{x.im}\right) \]
   5. Step-by-step derivation

   6. Applied rewrites 76.1%

      \[\leadsto x.im \cdot \mathsf{fma}\left(x.re + x.re, x.re, \left(x.re - x.im\right) \cdot \color{blue}{x.im}\right) \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 2: 99.4% accurate, 0.8× speedup

Math

\[\mathsf{copysign}\left(1, x.im\right) \cdot \begin{array}{l} \mathbf{if}\;\left|x.im\right| \leq 7 \cdot 10^{+55}:\\ \;\;\;\;\left(\left|x.re\right| \cdot \left|x.im\right|\right) \cdot \left(\left|x.re\right| \cdot 3\right) - \left(\left|x.im\right| \cdot \left|x.im\right|\right) \cdot \left|x.im\right|\\ \mathbf{else}:\\ \;\;\;\;\left|x.im\right| \cdot \mathsf{fma}\left(\left|x.re\right| + \left|x.re\right|, \left|x.re\right|, \left(\left|x.re\right| - \left|x.im\right|\right) \cdot \left|x.im\right|\right)\\ \end{array} \]

FPCore

(FPCore (x.re x.im)
  :precision binary64
  (*
 (copysign 1.0 x.im)
 (if (<= (fabs x.im) 7e+55)
   (-
    (* (* (fabs x.re) (fabs x.im)) (* (fabs x.re) 3.0))
    (* (* (fabs x.im) (fabs x.im)) (fabs x.im)))
   (*
    (fabs x.im)
    (fma
     (+ (fabs x.re) (fabs x.re))
     (fabs x.re)
     (* (- (fabs x.re) (fabs x.im)) (fabs x.im)))))))

C

double code(double x_46_re, double x_46_im) {
	double tmp;
	if (fabs(x_46_im) <= 7e+55) {
		tmp = ((fabs(x_46_re) * fabs(x_46_im)) * (fabs(x_46_re) * 3.0)) - ((fabs(x_46_im) * fabs(x_46_im)) * fabs(x_46_im));
	} else {
		tmp = fabs(x_46_im) * fma((fabs(x_46_re) + fabs(x_46_re)), fabs(x_46_re), ((fabs(x_46_re) - fabs(x_46_im)) * fabs(x_46_im)));
	}
	return copysign(1.0, x_46_im) * tmp;
}

Julia

function code(x_46_re, x_46_im)
	tmp = 0.0
	if (abs(x_46_im) <= 7e+55)
		tmp = Float64(Float64(Float64(abs(x_46_re) * abs(x_46_im)) * Float64(abs(x_46_re) * 3.0)) - Float64(Float64(abs(x_46_im) * abs(x_46_im)) * abs(x_46_im)));
	else
		tmp = Float64(abs(x_46_im) * fma(Float64(abs(x_46_re) + abs(x_46_re)), abs(x_46_re), Float64(Float64(abs(x_46_re) - abs(x_46_im)) * abs(x_46_im))));
	end
	return Float64(copysign(1.0, x_46_im) * tmp)
end

Wolfram

code[x$46$re_, x$46$im_] := N[(N[With[{TMP1 = Abs[1.0], TMP2 = Sign[x$46$im]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision] * If[LessEqual[N[Abs[x$46$im], $MachinePrecision], 7e+55], N[(N[(N[(N[Abs[x$46$re], $MachinePrecision] * N[Abs[x$46$im], $MachinePrecision]), $MachinePrecision] * N[(N[Abs[x$46$re], $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision] - N[(N[(N[Abs[x$46$im], $MachinePrecision] * N[Abs[x$46$im], $MachinePrecision]), $MachinePrecision] * N[Abs[x$46$im], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Abs[x$46$im], $MachinePrecision] * N[(N[(N[Abs[x$46$re], $MachinePrecision] + N[Abs[x$46$re], $MachinePrecision]), $MachinePrecision] * N[Abs[x$46$re], $MachinePrecision] + N[(N[(N[Abs[x$46$re], $MachinePrecision] - N[Abs[x$46$im], $MachinePrecision]), $MachinePrecision] * N[Abs[x$46$im], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]

Derivation

1. Split input into 2 regimes

2. if x.im < 7.0000000000000002e55

   1. Initial program 82.5%

      \[\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im + \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re \]
   2. Step-by-step derivation

      1. lift-+.f64 N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im + \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re} \]

      2. +-commutative N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im} \]

      3. lift-*.f64 N/A

         \[\leadsto \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \color{blue}{\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im} \]

      4. *-commutative N/A

         \[\leadsto \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \color{blue}{x.im \cdot \left(x.re \cdot x.re - x.im \cdot x.im\right)} \]

      5. lift--.f64 N/A

         \[\leadsto \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + x.im \cdot \color{blue}{\left(x.re \cdot x.re - x.im \cdot x.im\right)} \]

      6. lift-*.f64 N/A

         \[\leadsto \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + x.im \cdot \left(x.re \cdot x.re - \color{blue}{x.im \cdot x.im}\right) \]

      7. fp-cancel-sub-sign-inv N/A

         \[\leadsto \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + x.im \cdot \color{blue}{\left(x.re \cdot x.re + \left(\mathsf{neg}\left(x.im\right)\right) \cdot x.im\right)} \]

      8. distribute-rgt-in N/A

         \[\leadsto \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \color{blue}{\left(\left(x.re \cdot x.re\right) \cdot x.im + \left(\left(\mathsf{neg}\left(x.im\right)\right) \cdot x.im\right) \cdot x.im\right)} \]

      9. fp-cancel-sign-sub-inv N/A

         \[\leadsto \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \color{blue}{\left(\left(x.re \cdot x.re\right) \cdot x.im - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(x.im\right)\right) \cdot x.im\right)\right) \cdot x.im\right)} \]

      10. lift-*.f64 N/A

          \[\leadsto \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \left(\color{blue}{\left(x.re \cdot x.re\right)} \cdot x.im - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(x.im\right)\right) \cdot x.im\right)\right) \cdot x.im\right) \]

      11. associate-*l* N/A

          \[\leadsto \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \left(\color{blue}{x.re \cdot \left(x.re \cdot x.im\right)} - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(x.im\right)\right) \cdot x.im\right)\right) \cdot x.im\right) \]

      12. lift-*.f64 N/A

          \[\leadsto \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \left(x.re \cdot \color{blue}{\left(x.re \cdot x.im\right)} - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(x.im\right)\right) \cdot x.im\right)\right) \cdot x.im\right) \]

      13. fp-cancel-sign-sub-inv N/A

          \[\leadsto \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \color{blue}{\left(x.re \cdot \left(x.re \cdot x.im\right) + \left(\left(\mathsf{neg}\left(x.im\right)\right) \cdot x.im\right) \cdot x.im\right)} \]

      14. associate-+r+ N/A

          \[\leadsto \color{blue}{\left(\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + x.re \cdot \left(x.re \cdot x.im\right)\right) + \left(\left(\mathsf{neg}\left(x.im\right)\right) \cdot x.im\right) \cdot x.im} \]

      15. fp-cancel-sign-sub-inv N/A

          \[\leadsto \color{blue}{\left(\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + x.re \cdot \left(x.re \cdot x.im\right)\right) - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(x.im\right)\right) \cdot x.im\right)\right) \cdot x.im} \]

      16. lower--.f64 N/A

          \[\leadsto \color{blue}{\left(\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + x.re \cdot \left(x.re \cdot x.im\right)\right) - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(x.im\right)\right) \cdot x.im\right)\right) \cdot x.im} \]

   3. Applied rewrites 85.9%

      \[\leadsto \color{blue}{3 \cdot \left(\left(x.im \cdot x.re\right) \cdot x.re\right) - \left(x.im \cdot x.im\right) \cdot x.im} \]
   4. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto \color{blue}{3 \cdot \left(\left(x.im \cdot x.re\right) \cdot x.re\right)} - \left(x.im \cdot x.im\right) \cdot x.im \]

      2. *-commutative N/A

         \[\leadsto \color{blue}{\left(\left(x.im \cdot x.re\right) \cdot x.re\right) \cdot 3} - \left(x.im \cdot x.im\right) \cdot x.im \]

      3. lift-*.f64 N/A

         \[\leadsto \color{blue}{\left(\left(x.im \cdot x.re\right) \cdot x.re\right)} \cdot 3 - \left(x.im \cdot x.im\right) \cdot x.im \]

      4. associate-*l* N/A

         \[\leadsto \color{blue}{\left(x.im \cdot x.re\right) \cdot \left(x.re \cdot 3\right)} - \left(x.im \cdot x.im\right) \cdot x.im \]

      5. lower-*.f64 N/A

         \[\leadsto \color{blue}{\left(x.im \cdot x.re\right) \cdot \left(x.re \cdot 3\right)} - \left(x.im \cdot x.im\right) \cdot x.im \]

      6. lift-*.f64 N/A

         \[\leadsto \color{blue}{\left(x.im \cdot x.re\right)} \cdot \left(x.re \cdot 3\right) - \left(x.im \cdot x.im\right) \cdot x.im \]

      7. *-commutative N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.im\right)} \cdot \left(x.re \cdot 3\right) - \left(x.im \cdot x.im\right) \cdot x.im \]

      8. lower-*.f64 N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.im\right)} \cdot \left(x.re \cdot 3\right) - \left(x.im \cdot x.im\right) \cdot x.im \]

      9. lower-*.f64 85.9%

         \[\leadsto \left(x.re \cdot x.im\right) \cdot \color{blue}{\left(x.re \cdot 3\right)} - \left(x.im \cdot x.im\right) \cdot x.im \]

   5. Applied rewrites 85.9%

      \[\leadsto \color{blue}{\left(x.re \cdot x.im\right) \cdot \left(x.re \cdot 3\right)} - \left(x.im \cdot x.im\right) \cdot x.im \]

   if 7.0000000000000002e55 < x.im

   1. Initial program 82.5%

      \[\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im + \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re \]
   2. Step-by-step derivation

      1. lift-+.f64 N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im + \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re} \]

      2. +-commutative N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im} \]

      3. add-flip N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re - \left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)} \]

      4. sub-flip N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right)} \]

      5. remove-double-neg N/A

         \[\leadsto \color{blue}{\left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re\right)\right)\right)\right)} + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      6. lift-*.f64 N/A

         \[\leadsto \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re}\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      7. distribute-rgt-neg-in N/A

         \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)}\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      8. lift-+.f64 N/A

         \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right)} \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      9. lift-*.f64 N/A

         \[\leadsto \left(\mathsf{neg}\left(\left(\color{blue}{x.re \cdot x.im} + x.im \cdot x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      10. lift-*.f64 N/A

          \[\leadsto \left(\mathsf{neg}\left(\left(x.re \cdot x.im + \color{blue}{x.im \cdot x.re}\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      11. *-commutative N/A

          \[\leadsto \left(\mathsf{neg}\left(\left(x.re \cdot x.im + \color{blue}{x.re \cdot x.im}\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      12. distribute-rgt-out N/A

          \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(x.im \cdot \left(x.re + x.re\right)\right)} \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      13. associate-*l* N/A

          \[\leadsto \left(\mathsf{neg}\left(\color{blue}{x.im \cdot \left(\left(x.re + x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)}\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      14. distribute-rgt-neg-in N/A

          \[\leadsto \color{blue}{x.im \cdot \left(\mathsf{neg}\left(\left(x.re + x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right)} + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      15. distribute-rgt-neg-out N/A

          \[\leadsto x.im \cdot \color{blue}{\left(\left(x.re + x.re\right) \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(x.re\right)\right)\right)\right)\right)} + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      16. remove-double-neg N/A

          \[\leadsto x.im \cdot \left(\left(x.re + x.re\right) \cdot \color{blue}{x.re}\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      17. lift-*.f64 N/A

          \[\leadsto x.im \cdot \left(\left(x.re + x.re\right) \cdot x.re\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im}\right)\right)\right)\right) \]

   3. Applied rewrites 93.9%

      \[\leadsto \color{blue}{x.im \cdot \mathsf{fma}\left(x.re + x.re, x.re, \left(x.re - x.im\right) \cdot \left(x.im + x.re\right)\right)} \]

   4. Taylor expanded in x.re around 0

      \[\leadsto x.im \cdot \mathsf{fma}\left(x.re + x.re, x.re, \left(x.re - x.im\right) \cdot \color{blue}{x.im}\right) \]
   5. Step-by-step derivation

   6. Applied rewrites 76.1%

      \[\leadsto x.im \cdot \mathsf{fma}\left(x.re + x.re, x.re, \left(x.re - x.im\right) \cdot \color{blue}{x.im}\right) \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 3: 99.4% accurate, 0.8× speedup

Math

\[\mathsf{copysign}\left(1, x.im\right) \cdot \begin{array}{l} \mathbf{if}\;\left|x.im\right| \leq 7 \cdot 10^{+55}:\\ \;\;\;\;3 \cdot \left(\left(\left|x.im\right| \cdot \left|x.re\right|\right) \cdot \left|x.re\right|\right) - \left(\left|x.im\right| \cdot \left|x.im\right|\right) \cdot \left|x.im\right|\\ \mathbf{else}:\\ \;\;\;\;\left|x.im\right| \cdot \mathsf{fma}\left(\left|x.re\right| + \left|x.re\right|, \left|x.re\right|, \left(\left|x.re\right| - \left|x.im\right|\right) \cdot \left|x.im\right|\right)\\ \end{array} \]

FPCore

(FPCore (x.re x.im)
  :precision binary64
  (*
 (copysign 1.0 x.im)
 (if (<= (fabs x.im) 7e+55)
   (-
    (* 3.0 (* (* (fabs x.im) (fabs x.re)) (fabs x.re)))
    (* (* (fabs x.im) (fabs x.im)) (fabs x.im)))
   (*
    (fabs x.im)
    (fma
     (+ (fabs x.re) (fabs x.re))
     (fabs x.re)
     (* (- (fabs x.re) (fabs x.im)) (fabs x.im)))))))

C

double code(double x_46_re, double x_46_im) {
	double tmp;
	if (fabs(x_46_im) <= 7e+55) {
		tmp = (3.0 * ((fabs(x_46_im) * fabs(x_46_re)) * fabs(x_46_re))) - ((fabs(x_46_im) * fabs(x_46_im)) * fabs(x_46_im));
	} else {
		tmp = fabs(x_46_im) * fma((fabs(x_46_re) + fabs(x_46_re)), fabs(x_46_re), ((fabs(x_46_re) - fabs(x_46_im)) * fabs(x_46_im)));
	}
	return copysign(1.0, x_46_im) * tmp;
}

Julia

function code(x_46_re, x_46_im)
	tmp = 0.0
	if (abs(x_46_im) <= 7e+55)
		tmp = Float64(Float64(3.0 * Float64(Float64(abs(x_46_im) * abs(x_46_re)) * abs(x_46_re))) - Float64(Float64(abs(x_46_im) * abs(x_46_im)) * abs(x_46_im)));
	else
		tmp = Float64(abs(x_46_im) * fma(Float64(abs(x_46_re) + abs(x_46_re)), abs(x_46_re), Float64(Float64(abs(x_46_re) - abs(x_46_im)) * abs(x_46_im))));
	end
	return Float64(copysign(1.0, x_46_im) * tmp)
end

Wolfram

code[x$46$re_, x$46$im_] := N[(N[With[{TMP1 = Abs[1.0], TMP2 = Sign[x$46$im]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision] * If[LessEqual[N[Abs[x$46$im], $MachinePrecision], 7e+55], N[(N[(3.0 * N[(N[(N[Abs[x$46$im], $MachinePrecision] * N[Abs[x$46$re], $MachinePrecision]), $MachinePrecision] * N[Abs[x$46$re], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[Abs[x$46$im], $MachinePrecision] * N[Abs[x$46$im], $MachinePrecision]), $MachinePrecision] * N[Abs[x$46$im], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Abs[x$46$im], $MachinePrecision] * N[(N[(N[Abs[x$46$re], $MachinePrecision] + N[Abs[x$46$re], $MachinePrecision]), $MachinePrecision] * N[Abs[x$46$re], $MachinePrecision] + N[(N[(N[Abs[x$46$re], $MachinePrecision] - N[Abs[x$46$im], $MachinePrecision]), $MachinePrecision] * N[Abs[x$46$im], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]

Derivation

1. Split input into 2 regimes

2. if x.im < 7.0000000000000002e55

   1. Initial program 82.5%

      \[\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im + \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re \]
   2. Step-by-step derivation

      1. lift-+.f64 N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im + \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re} \]

      2. +-commutative N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im} \]

      3. lift-*.f64 N/A

         \[\leadsto \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \color{blue}{\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im} \]

      4. *-commutative N/A

         \[\leadsto \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \color{blue}{x.im \cdot \left(x.re \cdot x.re - x.im \cdot x.im\right)} \]

      5. lift--.f64 N/A

         \[\leadsto \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + x.im \cdot \color{blue}{\left(x.re \cdot x.re - x.im \cdot x.im\right)} \]

      6. lift-*.f64 N/A

         \[\leadsto \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + x.im \cdot \left(x.re \cdot x.re - \color{blue}{x.im \cdot x.im}\right) \]

      7. fp-cancel-sub-sign-inv N/A

         \[\leadsto \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + x.im \cdot \color{blue}{\left(x.re \cdot x.re + \left(\mathsf{neg}\left(x.im\right)\right) \cdot x.im\right)} \]

      8. distribute-rgt-in N/A

         \[\leadsto \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \color{blue}{\left(\left(x.re \cdot x.re\right) \cdot x.im + \left(\left(\mathsf{neg}\left(x.im\right)\right) \cdot x.im\right) \cdot x.im\right)} \]

      9. fp-cancel-sign-sub-inv N/A

         \[\leadsto \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \color{blue}{\left(\left(x.re \cdot x.re\right) \cdot x.im - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(x.im\right)\right) \cdot x.im\right)\right) \cdot x.im\right)} \]

      10. lift-*.f64 N/A

          \[\leadsto \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \left(\color{blue}{\left(x.re \cdot x.re\right)} \cdot x.im - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(x.im\right)\right) \cdot x.im\right)\right) \cdot x.im\right) \]

      11. associate-*l* N/A

          \[\leadsto \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \left(\color{blue}{x.re \cdot \left(x.re \cdot x.im\right)} - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(x.im\right)\right) \cdot x.im\right)\right) \cdot x.im\right) \]

      12. lift-*.f64 N/A

          \[\leadsto \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \left(x.re \cdot \color{blue}{\left(x.re \cdot x.im\right)} - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(x.im\right)\right) \cdot x.im\right)\right) \cdot x.im\right) \]

      13. fp-cancel-sign-sub-inv N/A

          \[\leadsto \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \color{blue}{\left(x.re \cdot \left(x.re \cdot x.im\right) + \left(\left(\mathsf{neg}\left(x.im\right)\right) \cdot x.im\right) \cdot x.im\right)} \]

      14. associate-+r+ N/A

          \[\leadsto \color{blue}{\left(\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + x.re \cdot \left(x.re \cdot x.im\right)\right) + \left(\left(\mathsf{neg}\left(x.im\right)\right) \cdot x.im\right) \cdot x.im} \]

      15. fp-cancel-sign-sub-inv N/A

          \[\leadsto \color{blue}{\left(\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + x.re \cdot \left(x.re \cdot x.im\right)\right) - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(x.im\right)\right) \cdot x.im\right)\right) \cdot x.im} \]

      16. lower--.f64 N/A

          \[\leadsto \color{blue}{\left(\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + x.re \cdot \left(x.re \cdot x.im\right)\right) - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(x.im\right)\right) \cdot x.im\right)\right) \cdot x.im} \]

   3. Applied rewrites 85.9%

      \[\leadsto \color{blue}{3 \cdot \left(\left(x.im \cdot x.re\right) \cdot x.re\right) - \left(x.im \cdot x.im\right) \cdot x.im} \]

   if 7.0000000000000002e55 < x.im

   1. Initial program 82.5%

      \[\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im + \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re \]
   2. Step-by-step derivation

      1. lift-+.f64 N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im + \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re} \]

      2. +-commutative N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im} \]

      3. add-flip N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re - \left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)} \]

      4. sub-flip N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right)} \]

      5. remove-double-neg N/A

         \[\leadsto \color{blue}{\left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re\right)\right)\right)\right)} + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      6. lift-*.f64 N/A

         \[\leadsto \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re}\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      7. distribute-rgt-neg-in N/A

         \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)}\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      8. lift-+.f64 N/A

         \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right)} \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      9. lift-*.f64 N/A

         \[\leadsto \left(\mathsf{neg}\left(\left(\color{blue}{x.re \cdot x.im} + x.im \cdot x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      10. lift-*.f64 N/A

          \[\leadsto \left(\mathsf{neg}\left(\left(x.re \cdot x.im + \color{blue}{x.im \cdot x.re}\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      11. *-commutative N/A

          \[\leadsto \left(\mathsf{neg}\left(\left(x.re \cdot x.im + \color{blue}{x.re \cdot x.im}\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      12. distribute-rgt-out N/A

          \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(x.im \cdot \left(x.re + x.re\right)\right)} \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      13. associate-*l* N/A

          \[\leadsto \left(\mathsf{neg}\left(\color{blue}{x.im \cdot \left(\left(x.re + x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)}\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      14. distribute-rgt-neg-in N/A

          \[\leadsto \color{blue}{x.im \cdot \left(\mathsf{neg}\left(\left(x.re + x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right)} + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      15. distribute-rgt-neg-out N/A

          \[\leadsto x.im \cdot \color{blue}{\left(\left(x.re + x.re\right) \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(x.re\right)\right)\right)\right)\right)} + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      16. remove-double-neg N/A

          \[\leadsto x.im \cdot \left(\left(x.re + x.re\right) \cdot \color{blue}{x.re}\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      17. lift-*.f64 N/A

          \[\leadsto x.im \cdot \left(\left(x.re + x.re\right) \cdot x.re\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im}\right)\right)\right)\right) \]

   3. Applied rewrites 93.9%

      \[\leadsto \color{blue}{x.im \cdot \mathsf{fma}\left(x.re + x.re, x.re, \left(x.re - x.im\right) \cdot \left(x.im + x.re\right)\right)} \]

   4. Taylor expanded in x.re around 0

      \[\leadsto x.im \cdot \mathsf{fma}\left(x.re + x.re, x.re, \left(x.re - x.im\right) \cdot \color{blue}{x.im}\right) \]
   5. Step-by-step derivation

   6. Applied rewrites 76.1%

      \[\leadsto x.im \cdot \mathsf{fma}\left(x.re + x.re, x.re, \left(x.re - x.im\right) \cdot \color{blue}{x.im}\right) \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 4: 93.5% accurate, 0.8× speedup

Math

\[\mathsf{copysign}\left(1, x.im\right) \cdot \begin{array}{l} \mathbf{if}\;\left|x.im\right| \leq 7 \cdot 10^{+55}:\\ \;\;\;\;\left|x.im\right| \cdot \left(\left(3 \cdot \left|x.re\right|\right) \cdot \left|x.re\right| - \left|x.im\right| \cdot \left|x.im\right|\right)\\ \mathbf{else}:\\ \;\;\;\;\left|x.im\right| \cdot \mathsf{fma}\left(\left|x.re\right| + \left|x.re\right|, \left|x.re\right|, \left(\left|x.re\right| - \left|x.im\right|\right) \cdot \left|x.im\right|\right)\\ \end{array} \]

FPCore

(FPCore (x.re x.im)
  :precision binary64
  (*
 (copysign 1.0 x.im)
 (if (<= (fabs x.im) 7e+55)
   (*
    (fabs x.im)
    (-
     (* (* 3.0 (fabs x.re)) (fabs x.re))
     (* (fabs x.im) (fabs x.im))))
   (*
    (fabs x.im)
    (fma
     (+ (fabs x.re) (fabs x.re))
     (fabs x.re)
     (* (- (fabs x.re) (fabs x.im)) (fabs x.im)))))))

C

double code(double x_46_re, double x_46_im) {
	double tmp;
	if (fabs(x_46_im) <= 7e+55) {
		tmp = fabs(x_46_im) * (((3.0 * fabs(x_46_re)) * fabs(x_46_re)) - (fabs(x_46_im) * fabs(x_46_im)));
	} else {
		tmp = fabs(x_46_im) * fma((fabs(x_46_re) + fabs(x_46_re)), fabs(x_46_re), ((fabs(x_46_re) - fabs(x_46_im)) * fabs(x_46_im)));
	}
	return copysign(1.0, x_46_im) * tmp;
}

Julia

function code(x_46_re, x_46_im)
	tmp = 0.0
	if (abs(x_46_im) <= 7e+55)
		tmp = Float64(abs(x_46_im) * Float64(Float64(Float64(3.0 * abs(x_46_re)) * abs(x_46_re)) - Float64(abs(x_46_im) * abs(x_46_im))));
	else
		tmp = Float64(abs(x_46_im) * fma(Float64(abs(x_46_re) + abs(x_46_re)), abs(x_46_re), Float64(Float64(abs(x_46_re) - abs(x_46_im)) * abs(x_46_im))));
	end
	return Float64(copysign(1.0, x_46_im) * tmp)
end

Wolfram

code[x$46$re_, x$46$im_] := N[(N[With[{TMP1 = Abs[1.0], TMP2 = Sign[x$46$im]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision] * If[LessEqual[N[Abs[x$46$im], $MachinePrecision], 7e+55], N[(N[Abs[x$46$im], $MachinePrecision] * N[(N[(N[(3.0 * N[Abs[x$46$re], $MachinePrecision]), $MachinePrecision] * N[Abs[x$46$re], $MachinePrecision]), $MachinePrecision] - N[(N[Abs[x$46$im], $MachinePrecision] * N[Abs[x$46$im], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Abs[x$46$im], $MachinePrecision] * N[(N[(N[Abs[x$46$re], $MachinePrecision] + N[Abs[x$46$re], $MachinePrecision]), $MachinePrecision] * N[Abs[x$46$re], $MachinePrecision] + N[(N[(N[Abs[x$46$re], $MachinePrecision] - N[Abs[x$46$im], $MachinePrecision]), $MachinePrecision] * N[Abs[x$46$im], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]

Derivation

1. Split input into 2 regimes

2. if x.im < 7.0000000000000002e55

   1. Initial program 82.5%

      \[\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im + \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re \]
   2. Step-by-step derivation

      1. lift-+.f64 N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im + \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re} \]

      2. +-commutative N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im} \]

      3. add-flip N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re - \left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)} \]

      4. sub-flip N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right)} \]

      5. remove-double-neg N/A

         \[\leadsto \color{blue}{\left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re\right)\right)\right)\right)} + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      6. lift-*.f64 N/A

         \[\leadsto \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re}\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      7. distribute-rgt-neg-in N/A

         \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)}\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      8. lift-+.f64 N/A

         \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right)} \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      9. lift-*.f64 N/A

         \[\leadsto \left(\mathsf{neg}\left(\left(\color{blue}{x.re \cdot x.im} + x.im \cdot x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      10. lift-*.f64 N/A

          \[\leadsto \left(\mathsf{neg}\left(\left(x.re \cdot x.im + \color{blue}{x.im \cdot x.re}\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      11. *-commutative N/A

          \[\leadsto \left(\mathsf{neg}\left(\left(x.re \cdot x.im + \color{blue}{x.re \cdot x.im}\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      12. distribute-rgt-out N/A

          \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(x.im \cdot \left(x.re + x.re\right)\right)} \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      13. associate-*l* N/A

          \[\leadsto \left(\mathsf{neg}\left(\color{blue}{x.im \cdot \left(\left(x.re + x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)}\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      14. distribute-rgt-neg-in N/A

          \[\leadsto \color{blue}{x.im \cdot \left(\mathsf{neg}\left(\left(x.re + x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right)} + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      15. distribute-rgt-neg-out N/A

          \[\leadsto x.im \cdot \color{blue}{\left(\left(x.re + x.re\right) \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(x.re\right)\right)\right)\right)\right)} + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      16. remove-double-neg N/A

          \[\leadsto x.im \cdot \left(\left(x.re + x.re\right) \cdot \color{blue}{x.re}\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      17. lift-*.f64 N/A

          \[\leadsto x.im \cdot \left(\left(x.re + x.re\right) \cdot x.re\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im}\right)\right)\right)\right) \]

   3. Applied rewrites 93.9%

      \[\leadsto \color{blue}{x.im \cdot \mathsf{fma}\left(x.re + x.re, x.re, \left(x.re - x.im\right) \cdot \left(x.im + x.re\right)\right)} \]

   5. Applied rewrites 87.7%

      \[\leadsto \color{blue}{x.im \cdot \left(\left(x.re \cdot x.re\right) \cdot 3 - x.im \cdot x.im\right)} \]
   6. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto x.im \cdot \left(\color{blue}{\left(x.re \cdot x.re\right) \cdot 3} - x.im \cdot x.im\right) \]

      2. lift-*.f64 N/A

         \[\leadsto x.im \cdot \left(\color{blue}{\left(x.re \cdot x.re\right)} \cdot 3 - x.im \cdot x.im\right) \]

      3. associate-*l* N/A

         \[\leadsto x.im \cdot \left(\color{blue}{x.re \cdot \left(x.re \cdot 3\right)} - x.im \cdot x.im\right) \]

      4. *-commutative N/A

         \[\leadsto x.im \cdot \left(\color{blue}{\left(x.re \cdot 3\right) \cdot x.re} - x.im \cdot x.im\right) \]

      5. lower-*.f64 N/A

         \[\leadsto x.im \cdot \left(\color{blue}{\left(x.re \cdot 3\right) \cdot x.re} - x.im \cdot x.im\right) \]

      6. *-commutative N/A

         \[\leadsto x.im \cdot \left(\color{blue}{\left(3 \cdot x.re\right)} \cdot x.re - x.im \cdot x.im\right) \]

      7. lower-*.f64 87.7%

         \[\leadsto x.im \cdot \left(\color{blue}{\left(3 \cdot x.re\right)} \cdot x.re - x.im \cdot x.im\right) \]

   7. Applied rewrites 87.7%

      \[\leadsto x.im \cdot \left(\color{blue}{\left(3 \cdot x.re\right) \cdot x.re} - x.im \cdot x.im\right) \]

   if 7.0000000000000002e55 < x.im

   1. Initial program 82.5%

      \[\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im + \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re \]
   2. Step-by-step derivation

      1. lift-+.f64 N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im + \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re} \]

      2. +-commutative N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im} \]

      3. add-flip N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re - \left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)} \]

      4. sub-flip N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right)} \]

      5. remove-double-neg N/A

         \[\leadsto \color{blue}{\left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re\right)\right)\right)\right)} + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      6. lift-*.f64 N/A

         \[\leadsto \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re}\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      7. distribute-rgt-neg-in N/A

         \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)}\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      8. lift-+.f64 N/A

         \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right)} \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      9. lift-*.f64 N/A

         \[\leadsto \left(\mathsf{neg}\left(\left(\color{blue}{x.re \cdot x.im} + x.im \cdot x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      10. lift-*.f64 N/A

          \[\leadsto \left(\mathsf{neg}\left(\left(x.re \cdot x.im + \color{blue}{x.im \cdot x.re}\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      11. *-commutative N/A

          \[\leadsto \left(\mathsf{neg}\left(\left(x.re \cdot x.im + \color{blue}{x.re \cdot x.im}\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      12. distribute-rgt-out N/A

          \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(x.im \cdot \left(x.re + x.re\right)\right)} \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      13. associate-*l* N/A

          \[\leadsto \left(\mathsf{neg}\left(\color{blue}{x.im \cdot \left(\left(x.re + x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)}\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      14. distribute-rgt-neg-in N/A

          \[\leadsto \color{blue}{x.im \cdot \left(\mathsf{neg}\left(\left(x.re + x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right)} + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      15. distribute-rgt-neg-out N/A

          \[\leadsto x.im \cdot \color{blue}{\left(\left(x.re + x.re\right) \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(x.re\right)\right)\right)\right)\right)} + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      16. remove-double-neg N/A

          \[\leadsto x.im \cdot \left(\left(x.re + x.re\right) \cdot \color{blue}{x.re}\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      17. lift-*.f64 N/A

          \[\leadsto x.im \cdot \left(\left(x.re + x.re\right) \cdot x.re\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im}\right)\right)\right)\right) \]

   3. Applied rewrites 93.9%

      \[\leadsto \color{blue}{x.im \cdot \mathsf{fma}\left(x.re + x.re, x.re, \left(x.re - x.im\right) \cdot \left(x.im + x.re\right)\right)} \]

   4. Taylor expanded in x.re around 0

      \[\leadsto x.im \cdot \mathsf{fma}\left(x.re + x.re, x.re, \left(x.re - x.im\right) \cdot \color{blue}{x.im}\right) \]
   5. Step-by-step derivation

   6. Applied rewrites 76.1%

      \[\leadsto x.im \cdot \mathsf{fma}\left(x.re + x.re, x.re, \left(x.re - x.im\right) \cdot \color{blue}{x.im}\right) \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 5: 90.7% accurate, 1.7× speedup

Math

\[x.im \cdot \mathsf{fma}\left(-x.im, x.im, \left(x.re \cdot x.re\right) \cdot 3\right) \]

FPCore

(FPCore (x.re x.im)
  :precision binary64
  (* x.im (fma (- x.im) x.im (* (* x.re x.re) 3.0))))

C

double code(double x_46_re, double x_46_im) {
	return x_46_im * fma(-x_46_im, x_46_im, ((x_46_re * x_46_re) * 3.0));
}

Julia

function code(x_46_re, x_46_im)
	return Float64(x_46_im * fma(Float64(-x_46_im), x_46_im, Float64(Float64(x_46_re * x_46_re) * 3.0)))
end

Wolfram

code[x$46$re_, x$46$im_] := N[(x$46$im * N[((-x$46$im) * x$46$im + N[(N[(x$46$re * x$46$re), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 82.5%

   \[\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im + \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re \]
2. Step-by-step derivation

   1. lift-+.f64 N/A

      \[\leadsto \color{blue}{\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im + \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re} \]

   2. +-commutative N/A

      \[\leadsto \color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im} \]

   3. add-flip N/A

      \[\leadsto \color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re - \left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)} \]

   4. sub-flip N/A

      \[\leadsto \color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right)} \]

   5. remove-double-neg N/A

      \[\leadsto \color{blue}{\left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re\right)\right)\right)\right)} + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

   6. lift-*.f64 N/A

      \[\leadsto \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re}\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

   7. distribute-rgt-neg-in N/A

      \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)}\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

   8. lift-+.f64 N/A

      \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right)} \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

   9. lift-*.f64 N/A

      \[\leadsto \left(\mathsf{neg}\left(\left(\color{blue}{x.re \cdot x.im} + x.im \cdot x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

   10. lift-*.f64 N/A

       \[\leadsto \left(\mathsf{neg}\left(\left(x.re \cdot x.im + \color{blue}{x.im \cdot x.re}\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

   11. *-commutative N/A

       \[\leadsto \left(\mathsf{neg}\left(\left(x.re \cdot x.im + \color{blue}{x.re \cdot x.im}\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

   12. distribute-rgt-out N/A

       \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(x.im \cdot \left(x.re + x.re\right)\right)} \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

   13. associate-*l* N/A

       \[\leadsto \left(\mathsf{neg}\left(\color{blue}{x.im \cdot \left(\left(x.re + x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)}\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

   14. distribute-rgt-neg-in N/A

       \[\leadsto \color{blue}{x.im \cdot \left(\mathsf{neg}\left(\left(x.re + x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right)} + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

   15. distribute-rgt-neg-out N/A

       \[\leadsto x.im \cdot \color{blue}{\left(\left(x.re + x.re\right) \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(x.re\right)\right)\right)\right)\right)} + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

   16. remove-double-neg N/A

       \[\leadsto x.im \cdot \left(\left(x.re + x.re\right) \cdot \color{blue}{x.re}\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

   17. lift-*.f64 N/A

       \[\leadsto x.im \cdot \left(\left(x.re + x.re\right) \cdot x.re\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im}\right)\right)\right)\right) \]

3. Applied rewrites 93.9%

   \[\leadsto \color{blue}{x.im \cdot \mathsf{fma}\left(x.re + x.re, x.re, \left(x.re - x.im\right) \cdot \left(x.im + x.re\right)\right)} \]

5. Applied rewrites 90.7%

   \[\leadsto \color{blue}{x.im \cdot \mathsf{fma}\left(-x.im, x.im, \left(x.re \cdot x.re\right) \cdot 3\right)} \]
6. Add Preprocessing

Alternative 6: 90.6% accurate, 0.9× speedup

Math

\[\mathsf{copysign}\left(1, x.im\right) \cdot \begin{array}{l} \mathbf{if}\;\left|x.im\right| \leq 1.9 \cdot 10^{+148}:\\ \;\;\;\;\left|x.im\right| \cdot \left(\left(3 \cdot x.re\right) \cdot x.re - \left|x.im\right| \cdot \left|x.im\right|\right)\\ \mathbf{else}:\\ \;\;\;\;\left(\left(-\left|x.im\right|\right) \cdot \left|x.im\right|\right) \cdot \left|x.im\right|\\ \end{array} \]

FPCore

(FPCore (x.re x.im)
  :precision binary64
  (*
 (copysign 1.0 x.im)
 (if (<= (fabs x.im) 1.9e+148)
   (*
    (fabs x.im)
    (- (* (* 3.0 x.re) x.re) (* (fabs x.im) (fabs x.im))))
   (* (* (- (fabs x.im)) (fabs x.im)) (fabs x.im)))))

C

double code(double x_46_re, double x_46_im) {
	double tmp;
	if (fabs(x_46_im) <= 1.9e+148) {
		tmp = fabs(x_46_im) * (((3.0 * x_46_re) * x_46_re) - (fabs(x_46_im) * fabs(x_46_im)));
	} else {
		tmp = (-fabs(x_46_im) * fabs(x_46_im)) * fabs(x_46_im);
	}
	return copysign(1.0, x_46_im) * tmp;
}

Java

public static double code(double x_46_re, double x_46_im) {
	double tmp;
	if (Math.abs(x_46_im) <= 1.9e+148) {
		tmp = Math.abs(x_46_im) * (((3.0 * x_46_re) * x_46_re) - (Math.abs(x_46_im) * Math.abs(x_46_im)));
	} else {
		tmp = (-Math.abs(x_46_im) * Math.abs(x_46_im)) * Math.abs(x_46_im);
	}
	return Math.copySign(1.0, x_46_im) * tmp;
}

Python

def code(x_46_re, x_46_im):
	tmp = 0
	if math.fabs(x_46_im) <= 1.9e+148:
		tmp = math.fabs(x_46_im) * (((3.0 * x_46_re) * x_46_re) - (math.fabs(x_46_im) * math.fabs(x_46_im)))
	else:
		tmp = (-math.fabs(x_46_im) * math.fabs(x_46_im)) * math.fabs(x_46_im)
	return math.copysign(1.0, x_46_im) * tmp

Julia

function code(x_46_re, x_46_im)
	tmp = 0.0
	if (abs(x_46_im) <= 1.9e+148)
		tmp = Float64(abs(x_46_im) * Float64(Float64(Float64(3.0 * x_46_re) * x_46_re) - Float64(abs(x_46_im) * abs(x_46_im))));
	else
		tmp = Float64(Float64(Float64(-abs(x_46_im)) * abs(x_46_im)) * abs(x_46_im));
	end
	return Float64(copysign(1.0, x_46_im) * tmp)
end

MATLAB

function tmp_2 = code(x_46_re, x_46_im)
	tmp = 0.0;
	if (abs(x_46_im) <= 1.9e+148)
		tmp = abs(x_46_im) * (((3.0 * x_46_re) * x_46_re) - (abs(x_46_im) * abs(x_46_im)));
	else
		tmp = (-abs(x_46_im) * abs(x_46_im)) * abs(x_46_im);
	end
	tmp_2 = (sign(x_46_im) * abs(1.0)) * tmp;
end

Wolfram

code[x$46$re_, x$46$im_] := N[(N[With[{TMP1 = Abs[1.0], TMP2 = Sign[x$46$im]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision] * If[LessEqual[N[Abs[x$46$im], $MachinePrecision], 1.9e+148], N[(N[Abs[x$46$im], $MachinePrecision] * N[(N[(N[(3.0 * x$46$re), $MachinePrecision] * x$46$re), $MachinePrecision] - N[(N[Abs[x$46$im], $MachinePrecision] * N[Abs[x$46$im], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[((-N[Abs[x$46$im], $MachinePrecision]) * N[Abs[x$46$im], $MachinePrecision]), $MachinePrecision] * N[Abs[x$46$im], $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]

Derivation

1. Split input into 2 regimes

2. if x.im < 1.8999999999999999e148

   1. Initial program 82.5%

      \[\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im + \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re \]
   2. Step-by-step derivation

      1. lift-+.f64 N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im + \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re} \]

      2. +-commutative N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im} \]

      3. add-flip N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re - \left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)} \]

      4. sub-flip N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right)} \]

      5. remove-double-neg N/A

         \[\leadsto \color{blue}{\left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re\right)\right)\right)\right)} + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      6. lift-*.f64 N/A

         \[\leadsto \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re}\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      7. distribute-rgt-neg-in N/A

         \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)}\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      8. lift-+.f64 N/A

         \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right)} \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      9. lift-*.f64 N/A

         \[\leadsto \left(\mathsf{neg}\left(\left(\color{blue}{x.re \cdot x.im} + x.im \cdot x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      10. lift-*.f64 N/A

          \[\leadsto \left(\mathsf{neg}\left(\left(x.re \cdot x.im + \color{blue}{x.im \cdot x.re}\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      11. *-commutative N/A

          \[\leadsto \left(\mathsf{neg}\left(\left(x.re \cdot x.im + \color{blue}{x.re \cdot x.im}\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      12. distribute-rgt-out N/A

          \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(x.im \cdot \left(x.re + x.re\right)\right)} \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      13. associate-*l* N/A

          \[\leadsto \left(\mathsf{neg}\left(\color{blue}{x.im \cdot \left(\left(x.re + x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)}\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      14. distribute-rgt-neg-in N/A

          \[\leadsto \color{blue}{x.im \cdot \left(\mathsf{neg}\left(\left(x.re + x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right)} + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      15. distribute-rgt-neg-out N/A

          \[\leadsto x.im \cdot \color{blue}{\left(\left(x.re + x.re\right) \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(x.re\right)\right)\right)\right)\right)} + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      16. remove-double-neg N/A

          \[\leadsto x.im \cdot \left(\left(x.re + x.re\right) \cdot \color{blue}{x.re}\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      17. lift-*.f64 N/A

          \[\leadsto x.im \cdot \left(\left(x.re + x.re\right) \cdot x.re\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im}\right)\right)\right)\right) \]

   3. Applied rewrites 93.9%

      \[\leadsto \color{blue}{x.im \cdot \mathsf{fma}\left(x.re + x.re, x.re, \left(x.re - x.im\right) \cdot \left(x.im + x.re\right)\right)} \]

   5. Applied rewrites 87.7%

      \[\leadsto \color{blue}{x.im \cdot \left(\left(x.re \cdot x.re\right) \cdot 3 - x.im \cdot x.im\right)} \]
   6. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto x.im \cdot \left(\color{blue}{\left(x.re \cdot x.re\right) \cdot 3} - x.im \cdot x.im\right) \]

      2. lift-*.f64 N/A

         \[\leadsto x.im \cdot \left(\color{blue}{\left(x.re \cdot x.re\right)} \cdot 3 - x.im \cdot x.im\right) \]

      3. associate-*l* N/A

         \[\leadsto x.im \cdot \left(\color{blue}{x.re \cdot \left(x.re \cdot 3\right)} - x.im \cdot x.im\right) \]

      4. *-commutative N/A

         \[\leadsto x.im \cdot \left(\color{blue}{\left(x.re \cdot 3\right) \cdot x.re} - x.im \cdot x.im\right) \]

      5. lower-*.f64 N/A

         \[\leadsto x.im \cdot \left(\color{blue}{\left(x.re \cdot 3\right) \cdot x.re} - x.im \cdot x.im\right) \]

      6. *-commutative N/A

         \[\leadsto x.im \cdot \left(\color{blue}{\left(3 \cdot x.re\right)} \cdot x.re - x.im \cdot x.im\right) \]

      7. lower-*.f64 87.7%

         \[\leadsto x.im \cdot \left(\color{blue}{\left(3 \cdot x.re\right)} \cdot x.re - x.im \cdot x.im\right) \]

   7. Applied rewrites 87.7%

      \[\leadsto x.im \cdot \left(\color{blue}{\left(3 \cdot x.re\right) \cdot x.re} - x.im \cdot x.im\right) \]

   if 1.8999999999999999e148 < x.im

   1. Initial program 82.5%

      \[\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im + \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re \]
   2. Step-by-step derivation

      1. lift-+.f64 N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im + \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re} \]

      2. +-commutative N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im} \]

      3. add-flip N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re - \left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)} \]

      4. sub-flip N/A

         \[\leadsto \color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right)} \]

      5. remove-double-neg N/A

         \[\leadsto \color{blue}{\left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re\right)\right)\right)\right)} + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      6. lift-*.f64 N/A

         \[\leadsto \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re}\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      7. distribute-rgt-neg-in N/A

         \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)}\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      8. lift-+.f64 N/A

         \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right)} \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      9. lift-*.f64 N/A

         \[\leadsto \left(\mathsf{neg}\left(\left(\color{blue}{x.re \cdot x.im} + x.im \cdot x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      10. lift-*.f64 N/A

          \[\leadsto \left(\mathsf{neg}\left(\left(x.re \cdot x.im + \color{blue}{x.im \cdot x.re}\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      11. *-commutative N/A

          \[\leadsto \left(\mathsf{neg}\left(\left(x.re \cdot x.im + \color{blue}{x.re \cdot x.im}\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      12. distribute-rgt-out N/A

          \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(x.im \cdot \left(x.re + x.re\right)\right)} \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      13. associate-*l* N/A

          \[\leadsto \left(\mathsf{neg}\left(\color{blue}{x.im \cdot \left(\left(x.re + x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)}\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      14. distribute-rgt-neg-in N/A

          \[\leadsto \color{blue}{x.im \cdot \left(\mathsf{neg}\left(\left(x.re + x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right)} + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      15. distribute-rgt-neg-out N/A

          \[\leadsto x.im \cdot \color{blue}{\left(\left(x.re + x.re\right) \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(x.re\right)\right)\right)\right)\right)} + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      16. remove-double-neg N/A

          \[\leadsto x.im \cdot \left(\left(x.re + x.re\right) \cdot \color{blue}{x.re}\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

      17. lift-*.f64 N/A

          \[\leadsto x.im \cdot \left(\left(x.re + x.re\right) \cdot x.re\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im}\right)\right)\right)\right) \]

   3. Applied rewrites 93.9%

      \[\leadsto \color{blue}{x.im \cdot \mathsf{fma}\left(x.re + x.re, x.re, \left(x.re - x.im\right) \cdot \left(x.im + x.re\right)\right)} \]

   4. Taylor expanded in x.re around 0

      \[\leadsto \color{blue}{-1 \cdot {x.im}^{3}} \]
   5. Step-by-step derivation

      1. lower-*.f64 N/A

         \[\leadsto -1 \cdot \color{blue}{{x.im}^{3}} \]

      2. lower-pow.f64 59.6%

         \[\leadsto -1 \cdot {x.im}^{\color{blue}{3}} \]

   6. Applied rewrites 59.6%

      \[\leadsto \color{blue}{-1 \cdot {x.im}^{3}} \]
   7. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto -1 \cdot \color{blue}{{x.im}^{3}} \]

      2. lift-pow.f64 N/A

         \[\leadsto -1 \cdot {x.im}^{\color{blue}{3}} \]

      3. pow3 N/A

         \[\leadsto -1 \cdot \left(\left(x.im \cdot x.im\right) \cdot \color{blue}{x.im}\right) \]

      4. lift-*.f64 N/A

         \[\leadsto -1 \cdot \left(\left(x.im \cdot x.im\right) \cdot x.im\right) \]

      5. associate-*r* N/A

         \[\leadsto \left(-1 \cdot \left(x.im \cdot x.im\right)\right) \cdot \color{blue}{x.im} \]

      6. mul-1-neg N/A

         \[\leadsto \left(\mathsf{neg}\left(x.im \cdot x.im\right)\right) \cdot x.im \]

      7. lift-*.f64 N/A

         \[\leadsto \left(\mathsf{neg}\left(x.im \cdot x.im\right)\right) \cdot x.im \]

      8. distribute-lft-neg-out N/A

         \[\leadsto \left(\left(\mathsf{neg}\left(x.im\right)\right) \cdot x.im\right) \cdot x.im \]

      9. lift-neg.f64 N/A

         \[\leadsto \left(\left(-x.im\right) \cdot x.im\right) \cdot x.im \]

      10. lower-*.f64 N/A

          \[\leadsto \left(\left(-x.im\right) \cdot x.im\right) \cdot \color{blue}{x.im} \]

      11. lower-*.f64 59.5%

          \[\leadsto \left(\left(-x.im\right) \cdot x.im\right) \cdot x.im \]

   8. Applied rewrites 59.5%

      \[\leadsto \left(\left(-x.im\right) \cdot x.im\right) \cdot \color{blue}{x.im} \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 7: 59.5% accurate, 3.4× speedup

Math

\[\left(\left(-x.im\right) \cdot x.im\right) \cdot x.im \]

FPCore

(FPCore (x.re x.im)
  :precision binary64
  (* (* (- x.im) x.im) x.im))

C

double code(double x_46_re, double x_46_im) {
	return (-x_46_im * x_46_im) * x_46_im;
}

Fortran

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(x_46re, x_46im)
use fmin_fmax_functions
    real(8), intent (in) :: x_46re
    real(8), intent (in) :: x_46im
    code = (-x_46im * x_46im) * x_46im
end function

Java

public static double code(double x_46_re, double x_46_im) {
	return (-x_46_im * x_46_im) * x_46_im;
}

Python

def code(x_46_re, x_46_im):
	return (-x_46_im * x_46_im) * x_46_im

Julia

function code(x_46_re, x_46_im)
	return Float64(Float64(Float64(-x_46_im) * x_46_im) * x_46_im)
end

MATLAB

function tmp = code(x_46_re, x_46_im)
	tmp = (-x_46_im * x_46_im) * x_46_im;
end

Wolfram

code[x$46$re_, x$46$im_] := N[(N[((-x$46$im) * x$46$im), $MachinePrecision] * x$46$im), $MachinePrecision]

Derivation

1. Initial program 82.5%

   \[\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im + \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re \]
2. Step-by-step derivation

   1. lift-+.f64 N/A

      \[\leadsto \color{blue}{\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im + \left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re} \]

   2. +-commutative N/A

      \[\leadsto \color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im} \]

   3. add-flip N/A

      \[\leadsto \color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re - \left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)} \]

   4. sub-flip N/A

      \[\leadsto \color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right)} \]

   5. remove-double-neg N/A

      \[\leadsto \color{blue}{\left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re\right)\right)\right)\right)} + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

   6. lift-*.f64 N/A

      \[\leadsto \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot x.re}\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

   7. distribute-rgt-neg-in N/A

      \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)}\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

   8. lift-+.f64 N/A

      \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.im + x.im \cdot x.re\right)} \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

   9. lift-*.f64 N/A

      \[\leadsto \left(\mathsf{neg}\left(\left(\color{blue}{x.re \cdot x.im} + x.im \cdot x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

   10. lift-*.f64 N/A

       \[\leadsto \left(\mathsf{neg}\left(\left(x.re \cdot x.im + \color{blue}{x.im \cdot x.re}\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

   11. *-commutative N/A

       \[\leadsto \left(\mathsf{neg}\left(\left(x.re \cdot x.im + \color{blue}{x.re \cdot x.im}\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

   12. distribute-rgt-out N/A

       \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\left(x.im \cdot \left(x.re + x.re\right)\right)} \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

   13. associate-*l* N/A

       \[\leadsto \left(\mathsf{neg}\left(\color{blue}{x.im \cdot \left(\left(x.re + x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)}\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

   14. distribute-rgt-neg-in N/A

       \[\leadsto \color{blue}{x.im \cdot \left(\mathsf{neg}\left(\left(x.re + x.re\right) \cdot \left(\mathsf{neg}\left(x.re\right)\right)\right)\right)} + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

   15. distribute-rgt-neg-out N/A

       \[\leadsto x.im \cdot \color{blue}{\left(\left(x.re + x.re\right) \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(x.re\right)\right)\right)\right)\right)} + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

   16. remove-double-neg N/A

       \[\leadsto x.im \cdot \left(\left(x.re + x.re\right) \cdot \color{blue}{x.re}\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im\right)\right)\right)\right) \]

   17. lift-*.f64 N/A

       \[\leadsto x.im \cdot \left(\left(x.re + x.re\right) \cdot x.re\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\color{blue}{\left(x.re \cdot x.re - x.im \cdot x.im\right) \cdot x.im}\right)\right)\right)\right) \]

3. Applied rewrites 93.9%

   \[\leadsto \color{blue}{x.im \cdot \mathsf{fma}\left(x.re + x.re, x.re, \left(x.re - x.im\right) \cdot \left(x.im + x.re\right)\right)} \]

4. Taylor expanded in x.re around 0

   \[\leadsto \color{blue}{-1 \cdot {x.im}^{3}} \]
5. Step-by-step derivation

   1. lower-*.f64 N/A

      \[\leadsto -1 \cdot \color{blue}{{x.im}^{3}} \]

   2. lower-pow.f64 59.6%

      \[\leadsto -1 \cdot {x.im}^{\color{blue}{3}} \]

6. Applied rewrites 59.6%

   \[\leadsto \color{blue}{-1 \cdot {x.im}^{3}} \]
7. Step-by-step derivation

   1. lift-*.f64 N/A

      \[\leadsto -1 \cdot \color{blue}{{x.im}^{3}} \]

   2. lift-pow.f64 N/A

      \[\leadsto -1 \cdot {x.im}^{\color{blue}{3}} \]

   3. pow3 N/A

      \[\leadsto -1 \cdot \left(\left(x.im \cdot x.im\right) \cdot \color{blue}{x.im}\right) \]

   4. lift-*.f64 N/A

      \[\leadsto -1 \cdot \left(\left(x.im \cdot x.im\right) \cdot x.im\right) \]

   5. associate-*r* N/A

      \[\leadsto \left(-1 \cdot \left(x.im \cdot x.im\right)\right) \cdot \color{blue}{x.im} \]

   6. mul-1-neg N/A

      \[\leadsto \left(\mathsf{neg}\left(x.im \cdot x.im\right)\right) \cdot x.im \]

   7. lift-*.f64 N/A

      \[\leadsto \left(\mathsf{neg}\left(x.im \cdot x.im\right)\right) \cdot x.im \]

   8. distribute-lft-neg-out N/A

      \[\leadsto \left(\left(\mathsf{neg}\left(x.im\right)\right) \cdot x.im\right) \cdot x.im \]

   9. lift-neg.f64 N/A

      \[\leadsto \left(\left(-x.im\right) \cdot x.im\right) \cdot x.im \]

   10. lower-*.f64 N/A

       \[\leadsto \left(\left(-x.im\right) \cdot x.im\right) \cdot \color{blue}{x.im} \]

   11. lower-*.f64 59.5%

       \[\leadsto \left(\left(-x.im\right) \cdot x.im\right) \cdot x.im \]

8. Applied rewrites 59.5%

   \[\leadsto \left(\left(-x.im\right) \cdot x.im\right) \cdot \color{blue}{x.im} \]
9. Add Preprocessing

Developer Target 1: 91.3% accurate, 1.1× speedup

Math

\[\left(x.re \cdot x.im\right) \cdot \left(2 \cdot x.re\right) + \left(x.im \cdot \left(x.re - x.im\right)\right) \cdot \left(x.re + x.im\right) \]

FPCore

(FPCore (x.re x.im)
  :precision binary64
  (+
 (* (* x.re x.im) (* 2.0 x.re))
 (* (* x.im (- x.re x.im)) (+ x.re x.im))))

C

double code(double x_46_re, double x_46_im) {
	return ((x_46_re * x_46_im) * (2.0 * x_46_re)) + ((x_46_im * (x_46_re - x_46_im)) * (x_46_re + x_46_im));
}

Fortran

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(x_46re, x_46im)
use fmin_fmax_functions
    real(8), intent (in) :: x_46re
    real(8), intent (in) :: x_46im
    code = ((x_46re * x_46im) * (2.0d0 * x_46re)) + ((x_46im * (x_46re - x_46im)) * (x_46re + x_46im))
end function

Java

public static double code(double x_46_re, double x_46_im) {
	return ((x_46_re * x_46_im) * (2.0 * x_46_re)) + ((x_46_im * (x_46_re - x_46_im)) * (x_46_re + x_46_im));
}

Python

def code(x_46_re, x_46_im):
	return ((x_46_re * x_46_im) * (2.0 * x_46_re)) + ((x_46_im * (x_46_re - x_46_im)) * (x_46_re + x_46_im))

Julia

function code(x_46_re, x_46_im)
	return Float64(Float64(Float64(x_46_re * x_46_im) * Float64(2.0 * x_46_re)) + Float64(Float64(x_46_im * Float64(x_46_re - x_46_im)) * Float64(x_46_re + x_46_im)))
end

MATLAB

function tmp = code(x_46_re, x_46_im)
	tmp = ((x_46_re * x_46_im) * (2.0 * x_46_re)) + ((x_46_im * (x_46_re - x_46_im)) * (x_46_re + x_46_im));
end

Wolfram

code[x$46$re_, x$46$im_] := N[(N[(N[(x$46$re * x$46$im), $MachinePrecision] * N[(2.0 * x$46$re), $MachinePrecision]), $MachinePrecision] + N[(N[(x$46$im * N[(x$46$re - x$46$im), $MachinePrecision]), $MachinePrecision] * N[(x$46$re + x$46$im), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

Reproduce

herbie shell --seed 2025216 
(FPCore (x.re x.im)
  :name "math.cube on complex, imaginary part"
  :precision binary64

  :alt
  (! :herbie-platform c (+ (* (* x.re x.im) (* 2 x.re)) (* (* x.im (- x.re x.im)) (+ x.re x.im))))

  (+ (* (- (* x.re x.re) (* x.im x.im)) x.im) (* (+ (* x.re x.im) (* x.im x.re)) x.re)))