Jmat.Real.dawson

Percentage Accurate: 54.0% → 100.0%

Time: 18.8s

Alternatives: 10

Speedup: 23.0×

Specification

Math

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(x \cdot x\right) \cdot \left(x \cdot x\right)\\ t_1 := t\_0 \cdot \left(x \cdot x\right)\\ t_2 := t\_1 \cdot \left(x \cdot x\right)\\ t_3 := t\_2 \cdot \left(x \cdot x\right)\\ \frac{\left(\left(\left(\left(1 + 0.1049934947 \cdot \left(x \cdot x\right)\right) + 0.0424060604 \cdot t\_0\right) + 0.0072644182 \cdot t\_1\right) + 0.0005064034 \cdot t\_2\right) + 0.0001789971 \cdot t\_3}{\left(\left(\left(\left(\left(1 + 0.7715471019 \cdot \left(x \cdot x\right)\right) + 0.2909738639 \cdot t\_0\right) + 0.0694555761 \cdot t\_1\right) + 0.0140005442 \cdot t\_2\right) + 0.0008327945 \cdot t\_3\right) + \left(2 \cdot 0.0001789971\right) \cdot \left(t\_3 \cdot \left(x \cdot x\right)\right)} \cdot x \end{array} \end{array} \]

FPCore

(FPCore (x)
 :precision binary64
 (let* ((t_0 (* (* x x) (* x x)))
        (t_1 (* t_0 (* x x)))
        (t_2 (* t_1 (* x x)))
        (t_3 (* t_2 (* x x))))
   (*
    (/
     (+
      (+
       (+
        (+ (+ 1.0 (* 0.1049934947 (* x x))) (* 0.0424060604 t_0))
        (* 0.0072644182 t_1))
       (* 0.0005064034 t_2))
      (* 0.0001789971 t_3))
     (+
      (+
       (+
        (+
         (+ (+ 1.0 (* 0.7715471019 (* x x))) (* 0.2909738639 t_0))
         (* 0.0694555761 t_1))
        (* 0.0140005442 t_2))
       (* 0.0008327945 t_3))
      (* (* 2.0 0.0001789971) (* t_3 (* x x)))))
    x)))

C

double code(double x) {
	double t_0 = (x * x) * (x * x);
	double t_1 = t_0 * (x * x);
	double t_2 = t_1 * (x * x);
	double t_3 = t_2 * (x * x);
	return ((((((1.0 + (0.1049934947 * (x * x))) + (0.0424060604 * t_0)) + (0.0072644182 * t_1)) + (0.0005064034 * t_2)) + (0.0001789971 * t_3)) / ((((((1.0 + (0.7715471019 * (x * x))) + (0.2909738639 * t_0)) + (0.0694555761 * t_1)) + (0.0140005442 * t_2)) + (0.0008327945 * t_3)) + ((2.0 * 0.0001789971) * (t_3 * (x * x))))) * x;
}

Fortran

real(8) function code(x)
    real(8), intent (in) :: x
    real(8) :: t_0
    real(8) :: t_1
    real(8) :: t_2
    real(8) :: t_3
    t_0 = (x * x) * (x * x)
    t_1 = t_0 * (x * x)
    t_2 = t_1 * (x * x)
    t_3 = t_2 * (x * x)
    code = ((((((1.0d0 + (0.1049934947d0 * (x * x))) + (0.0424060604d0 * t_0)) + (0.0072644182d0 * t_1)) + (0.0005064034d0 * t_2)) + (0.0001789971d0 * t_3)) / ((((((1.0d0 + (0.7715471019d0 * (x * x))) + (0.2909738639d0 * t_0)) + (0.0694555761d0 * t_1)) + (0.0140005442d0 * t_2)) + (0.0008327945d0 * t_3)) + ((2.0d0 * 0.0001789971d0) * (t_3 * (x * x))))) * x
end function

Java

public static double code(double x) {
	double t_0 = (x * x) * (x * x);
	double t_1 = t_0 * (x * x);
	double t_2 = t_1 * (x * x);
	double t_3 = t_2 * (x * x);
	return ((((((1.0 + (0.1049934947 * (x * x))) + (0.0424060604 * t_0)) + (0.0072644182 * t_1)) + (0.0005064034 * t_2)) + (0.0001789971 * t_3)) / ((((((1.0 + (0.7715471019 * (x * x))) + (0.2909738639 * t_0)) + (0.0694555761 * t_1)) + (0.0140005442 * t_2)) + (0.0008327945 * t_3)) + ((2.0 * 0.0001789971) * (t_3 * (x * x))))) * x;
}

Python

def code(x):
	t_0 = (x * x) * (x * x)
	t_1 = t_0 * (x * x)
	t_2 = t_1 * (x * x)
	t_3 = t_2 * (x * x)
	return ((((((1.0 + (0.1049934947 * (x * x))) + (0.0424060604 * t_0)) + (0.0072644182 * t_1)) + (0.0005064034 * t_2)) + (0.0001789971 * t_3)) / ((((((1.0 + (0.7715471019 * (x * x))) + (0.2909738639 * t_0)) + (0.0694555761 * t_1)) + (0.0140005442 * t_2)) + (0.0008327945 * t_3)) + ((2.0 * 0.0001789971) * (t_3 * (x * x))))) * x

Julia

function code(x)
	t_0 = Float64(Float64(x * x) * Float64(x * x))
	t_1 = Float64(t_0 * Float64(x * x))
	t_2 = Float64(t_1 * Float64(x * x))
	t_3 = Float64(t_2 * Float64(x * x))
	return Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.0 + Float64(0.1049934947 * Float64(x * x))) + Float64(0.0424060604 * t_0)) + Float64(0.0072644182 * t_1)) + Float64(0.0005064034 * t_2)) + Float64(0.0001789971 * t_3)) / Float64(Float64(Float64(Float64(Float64(Float64(1.0 + Float64(0.7715471019 * Float64(x * x))) + Float64(0.2909738639 * t_0)) + Float64(0.0694555761 * t_1)) + Float64(0.0140005442 * t_2)) + Float64(0.0008327945 * t_3)) + Float64(Float64(2.0 * 0.0001789971) * Float64(t_3 * Float64(x * x))))) * x)
end

MATLAB

function tmp = code(x)
	t_0 = (x * x) * (x * x);
	t_1 = t_0 * (x * x);
	t_2 = t_1 * (x * x);
	t_3 = t_2 * (x * x);
	tmp = ((((((1.0 + (0.1049934947 * (x * x))) + (0.0424060604 * t_0)) + (0.0072644182 * t_1)) + (0.0005064034 * t_2)) + (0.0001789971 * t_3)) / ((((((1.0 + (0.7715471019 * (x * x))) + (0.2909738639 * t_0)) + (0.0694555761 * t_1)) + (0.0140005442 * t_2)) + (0.0008327945 * t_3)) + ((2.0 * 0.0001789971) * (t_3 * (x * x))))) * x;
end

Wolfram

code[x_] := Block[{t$95$0 = N[(N[(x * x), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 * N[(x * x), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 * N[(x * x), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 * N[(x * x), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(N[(N[(N[(N[(1.0 + N[(0.1049934947 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.0424060604 * t$95$0), $MachinePrecision]), $MachinePrecision] + N[(0.0072644182 * t$95$1), $MachinePrecision]), $MachinePrecision] + N[(0.0005064034 * t$95$2), $MachinePrecision]), $MachinePrecision] + N[(0.0001789971 * t$95$3), $MachinePrecision]), $MachinePrecision] / N[(N[(N[(N[(N[(N[(1.0 + N[(0.7715471019 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.2909738639 * t$95$0), $MachinePrecision]), $MachinePrecision] + N[(0.0694555761 * t$95$1), $MachinePrecision]), $MachinePrecision] + N[(0.0140005442 * t$95$2), $MachinePrecision]), $MachinePrecision] + N[(0.0008327945 * t$95$3), $MachinePrecision]), $MachinePrecision] + N[(N[(2.0 * 0.0001789971), $MachinePrecision] * N[(t$95$3 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * x), $MachinePrecision]]]]]

Initial Program: 54.0% accurate, 1.0× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(x \cdot x\right) \cdot \left(x \cdot x\right)\\ t_1 := t\_0 \cdot \left(x \cdot x\right)\\ t_2 := t\_1 \cdot \left(x \cdot x\right)\\ t_3 := t\_2 \cdot \left(x \cdot x\right)\\ \frac{\left(\left(\left(\left(1 + 0.1049934947 \cdot \left(x \cdot x\right)\right) + 0.0424060604 \cdot t\_0\right) + 0.0072644182 \cdot t\_1\right) + 0.0005064034 \cdot t\_2\right) + 0.0001789971 \cdot t\_3}{\left(\left(\left(\left(\left(1 + 0.7715471019 \cdot \left(x \cdot x\right)\right) + 0.2909738639 \cdot t\_0\right) + 0.0694555761 \cdot t\_1\right) + 0.0140005442 \cdot t\_2\right) + 0.0008327945 \cdot t\_3\right) + \left(2 \cdot 0.0001789971\right) \cdot \left(t\_3 \cdot \left(x \cdot x\right)\right)} \cdot x \end{array} \end{array} \]

FPCore

(FPCore (x)
 :precision binary64
 (let* ((t_0 (* (* x x) (* x x)))
        (t_1 (* t_0 (* x x)))
        (t_2 (* t_1 (* x x)))
        (t_3 (* t_2 (* x x))))
   (*
    (/
     (+
      (+
       (+
        (+ (+ 1.0 (* 0.1049934947 (* x x))) (* 0.0424060604 t_0))
        (* 0.0072644182 t_1))
       (* 0.0005064034 t_2))
      (* 0.0001789971 t_3))
     (+
      (+
       (+
        (+
         (+ (+ 1.0 (* 0.7715471019 (* x x))) (* 0.2909738639 t_0))
         (* 0.0694555761 t_1))
        (* 0.0140005442 t_2))
       (* 0.0008327945 t_3))
      (* (* 2.0 0.0001789971) (* t_3 (* x x)))))
    x)))

C

double code(double x) {
	double t_0 = (x * x) * (x * x);
	double t_1 = t_0 * (x * x);
	double t_2 = t_1 * (x * x);
	double t_3 = t_2 * (x * x);
	return ((((((1.0 + (0.1049934947 * (x * x))) + (0.0424060604 * t_0)) + (0.0072644182 * t_1)) + (0.0005064034 * t_2)) + (0.0001789971 * t_3)) / ((((((1.0 + (0.7715471019 * (x * x))) + (0.2909738639 * t_0)) + (0.0694555761 * t_1)) + (0.0140005442 * t_2)) + (0.0008327945 * t_3)) + ((2.0 * 0.0001789971) * (t_3 * (x * x))))) * x;
}

Fortran

real(8) function code(x)
    real(8), intent (in) :: x
    real(8) :: t_0
    real(8) :: t_1
    real(8) :: t_2
    real(8) :: t_3
    t_0 = (x * x) * (x * x)
    t_1 = t_0 * (x * x)
    t_2 = t_1 * (x * x)
    t_3 = t_2 * (x * x)
    code = ((((((1.0d0 + (0.1049934947d0 * (x * x))) + (0.0424060604d0 * t_0)) + (0.0072644182d0 * t_1)) + (0.0005064034d0 * t_2)) + (0.0001789971d0 * t_3)) / ((((((1.0d0 + (0.7715471019d0 * (x * x))) + (0.2909738639d0 * t_0)) + (0.0694555761d0 * t_1)) + (0.0140005442d0 * t_2)) + (0.0008327945d0 * t_3)) + ((2.0d0 * 0.0001789971d0) * (t_3 * (x * x))))) * x
end function

Java

public static double code(double x) {
	double t_0 = (x * x) * (x * x);
	double t_1 = t_0 * (x * x);
	double t_2 = t_1 * (x * x);
	double t_3 = t_2 * (x * x);
	return ((((((1.0 + (0.1049934947 * (x * x))) + (0.0424060604 * t_0)) + (0.0072644182 * t_1)) + (0.0005064034 * t_2)) + (0.0001789971 * t_3)) / ((((((1.0 + (0.7715471019 * (x * x))) + (0.2909738639 * t_0)) + (0.0694555761 * t_1)) + (0.0140005442 * t_2)) + (0.0008327945 * t_3)) + ((2.0 * 0.0001789971) * (t_3 * (x * x))))) * x;
}

Python

def code(x):
	t_0 = (x * x) * (x * x)
	t_1 = t_0 * (x * x)
	t_2 = t_1 * (x * x)
	t_3 = t_2 * (x * x)
	return ((((((1.0 + (0.1049934947 * (x * x))) + (0.0424060604 * t_0)) + (0.0072644182 * t_1)) + (0.0005064034 * t_2)) + (0.0001789971 * t_3)) / ((((((1.0 + (0.7715471019 * (x * x))) + (0.2909738639 * t_0)) + (0.0694555761 * t_1)) + (0.0140005442 * t_2)) + (0.0008327945 * t_3)) + ((2.0 * 0.0001789971) * (t_3 * (x * x))))) * x

Julia

function code(x)
	t_0 = Float64(Float64(x * x) * Float64(x * x))
	t_1 = Float64(t_0 * Float64(x * x))
	t_2 = Float64(t_1 * Float64(x * x))
	t_3 = Float64(t_2 * Float64(x * x))
	return Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.0 + Float64(0.1049934947 * Float64(x * x))) + Float64(0.0424060604 * t_0)) + Float64(0.0072644182 * t_1)) + Float64(0.0005064034 * t_2)) + Float64(0.0001789971 * t_3)) / Float64(Float64(Float64(Float64(Float64(Float64(1.0 + Float64(0.7715471019 * Float64(x * x))) + Float64(0.2909738639 * t_0)) + Float64(0.0694555761 * t_1)) + Float64(0.0140005442 * t_2)) + Float64(0.0008327945 * t_3)) + Float64(Float64(2.0 * 0.0001789971) * Float64(t_3 * Float64(x * x))))) * x)
end

MATLAB

function tmp = code(x)
	t_0 = (x * x) * (x * x);
	t_1 = t_0 * (x * x);
	t_2 = t_1 * (x * x);
	t_3 = t_2 * (x * x);
	tmp = ((((((1.0 + (0.1049934947 * (x * x))) + (0.0424060604 * t_0)) + (0.0072644182 * t_1)) + (0.0005064034 * t_2)) + (0.0001789971 * t_3)) / ((((((1.0 + (0.7715471019 * (x * x))) + (0.2909738639 * t_0)) + (0.0694555761 * t_1)) + (0.0140005442 * t_2)) + (0.0008327945 * t_3)) + ((2.0 * 0.0001789971) * (t_3 * (x * x))))) * x;
end

Wolfram

code[x_] := Block[{t$95$0 = N[(N[(x * x), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 * N[(x * x), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 * N[(x * x), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 * N[(x * x), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(N[(N[(N[(N[(1.0 + N[(0.1049934947 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.0424060604 * t$95$0), $MachinePrecision]), $MachinePrecision] + N[(0.0072644182 * t$95$1), $MachinePrecision]), $MachinePrecision] + N[(0.0005064034 * t$95$2), $MachinePrecision]), $MachinePrecision] + N[(0.0001789971 * t$95$3), $MachinePrecision]), $MachinePrecision] / N[(N[(N[(N[(N[(N[(1.0 + N[(0.7715471019 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.2909738639 * t$95$0), $MachinePrecision]), $MachinePrecision] + N[(0.0694555761 * t$95$1), $MachinePrecision]), $MachinePrecision] + N[(0.0140005442 * t$95$2), $MachinePrecision]), $MachinePrecision] + N[(0.0008327945 * t$95$3), $MachinePrecision]), $MachinePrecision] + N[(N[(2.0 * 0.0001789971), $MachinePrecision] * N[(t$95$3 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * x), $MachinePrecision]]]]]

Alternative 1: 100.0% accurate, 1.0× speedup

Math

\[\begin{array}{l} x\_m = \left|x\right| \\ x\_s = \mathsf{copysign}\left(1, x\right) \\ \begin{array}{l} t_0 := \left(x\_m \cdot x\_m\right) \cdot \left(x\_m \cdot x\_m\right)\\ t_1 := \left(x\_m \cdot x\_m\right) \cdot t\_0\\ t_2 := \left(x\_m \cdot x\_m\right) \cdot t\_1\\ t_3 := \left(x\_m \cdot x\_m\right) \cdot t\_2\\ x\_s \cdot \begin{array}{l} \mathbf{if}\;x\_m \leq 100000:\\ \;\;\;\;x\_m \cdot \frac{\left(\left(\left(\left(1 + 0.1049934947 \cdot \left(x\_m \cdot x\_m\right)\right) + 0.0424060604 \cdot t\_0\right) + 0.0072644182 \cdot t\_1\right) + 0.0005064034 \cdot t\_2\right) + 0.0001789971 \cdot t\_3}{\left(\left(\left(\left(\left(1 + \left(x\_m \cdot x\_m\right) \cdot 0.7715471019\right) + t\_0 \cdot 0.2909738639\right) + t\_1 \cdot 0.0694555761\right) + t\_2 \cdot 0.0140005442\right) + t\_3 \cdot 0.0008327945\right) + \left(0.0001789971 \cdot 2\right) \cdot \left(\left(x\_m \cdot x\_m\right) \cdot t\_3\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{0.25 - \frac{0.06321096047386739}{x\_m \cdot \left(x\_m \cdot \left(x\_m \cdot x\_m\right)\right)}}{x\_m \cdot \left(0.5 - \frac{0.2514179000665374}{x\_m \cdot x\_m}\right)}\\ \end{array} \end{array} \end{array} \]

FPCore

x\_m = (fabs.f64 x)
x\_s = (copysign.f64 #s(literal 1 binary64) x)
(FPCore (x_s x_m)
 :precision binary64
 (let* ((t_0 (* (* x_m x_m) (* x_m x_m)))
        (t_1 (* (* x_m x_m) t_0))
        (t_2 (* (* x_m x_m) t_1))
        (t_3 (* (* x_m x_m) t_2)))
   (*
    x_s
    (if (<= x_m 100000.0)
      (*
       x_m
       (/
        (+
         (+
          (+
           (+ (+ 1.0 (* 0.1049934947 (* x_m x_m))) (* 0.0424060604 t_0))
           (* 0.0072644182 t_1))
          (* 0.0005064034 t_2))
         (* 0.0001789971 t_3))
        (+
         (+
          (+
           (+
            (+ (+ 1.0 (* (* x_m x_m) 0.7715471019)) (* t_0 0.2909738639))
            (* t_1 0.0694555761))
           (* t_2 0.0140005442))
          (* t_3 0.0008327945))
         (* (* 0.0001789971 2.0) (* (* x_m x_m) t_3)))))
      (/
       (- 0.25 (/ 0.06321096047386739 (* x_m (* x_m (* x_m x_m)))))
       (* x_m (- 0.5 (/ 0.2514179000665374 (* x_m x_m)))))))))

C

x\_m = fabs(x);
x\_s = copysign(1.0, x);
double code(double x_s, double x_m) {
	double t_0 = (x_m * x_m) * (x_m * x_m);
	double t_1 = (x_m * x_m) * t_0;
	double t_2 = (x_m * x_m) * t_1;
	double t_3 = (x_m * x_m) * t_2;
	double tmp;
	if (x_m <= 100000.0) {
		tmp = x_m * ((((((1.0 + (0.1049934947 * (x_m * x_m))) + (0.0424060604 * t_0)) + (0.0072644182 * t_1)) + (0.0005064034 * t_2)) + (0.0001789971 * t_3)) / ((((((1.0 + ((x_m * x_m) * 0.7715471019)) + (t_0 * 0.2909738639)) + (t_1 * 0.0694555761)) + (t_2 * 0.0140005442)) + (t_3 * 0.0008327945)) + ((0.0001789971 * 2.0) * ((x_m * x_m) * t_3))));
	} else {
		tmp = (0.25 - (0.06321096047386739 / (x_m * (x_m * (x_m * x_m))))) / (x_m * (0.5 - (0.2514179000665374 / (x_m * x_m))));
	}
	return x_s * tmp;
}

Fortran

x\_m = abs(x)
x\_s = copysign(1.0d0, x)
real(8) function code(x_s, x_m)
    real(8), intent (in) :: x_s
    real(8), intent (in) :: x_m
    real(8) :: t_0
    real(8) :: t_1
    real(8) :: t_2
    real(8) :: t_3
    real(8) :: tmp
    t_0 = (x_m * x_m) * (x_m * x_m)
    t_1 = (x_m * x_m) * t_0
    t_2 = (x_m * x_m) * t_1
    t_3 = (x_m * x_m) * t_2
    if (x_m <= 100000.0d0) then
        tmp = x_m * ((((((1.0d0 + (0.1049934947d0 * (x_m * x_m))) + (0.0424060604d0 * t_0)) + (0.0072644182d0 * t_1)) + (0.0005064034d0 * t_2)) + (0.0001789971d0 * t_3)) / ((((((1.0d0 + ((x_m * x_m) * 0.7715471019d0)) + (t_0 * 0.2909738639d0)) + (t_1 * 0.0694555761d0)) + (t_2 * 0.0140005442d0)) + (t_3 * 0.0008327945d0)) + ((0.0001789971d0 * 2.0d0) * ((x_m * x_m) * t_3))))
    else
        tmp = (0.25d0 - (0.06321096047386739d0 / (x_m * (x_m * (x_m * x_m))))) / (x_m * (0.5d0 - (0.2514179000665374d0 / (x_m * x_m))))
    end if
    code = x_s * tmp
end function

Java

x\_m = Math.abs(x);
x\_s = Math.copySign(1.0, x);
public static double code(double x_s, double x_m) {
	double t_0 = (x_m * x_m) * (x_m * x_m);
	double t_1 = (x_m * x_m) * t_0;
	double t_2 = (x_m * x_m) * t_1;
	double t_3 = (x_m * x_m) * t_2;
	double tmp;
	if (x_m <= 100000.0) {
		tmp = x_m * ((((((1.0 + (0.1049934947 * (x_m * x_m))) + (0.0424060604 * t_0)) + (0.0072644182 * t_1)) + (0.0005064034 * t_2)) + (0.0001789971 * t_3)) / ((((((1.0 + ((x_m * x_m) * 0.7715471019)) + (t_0 * 0.2909738639)) + (t_1 * 0.0694555761)) + (t_2 * 0.0140005442)) + (t_3 * 0.0008327945)) + ((0.0001789971 * 2.0) * ((x_m * x_m) * t_3))));
	} else {
		tmp = (0.25 - (0.06321096047386739 / (x_m * (x_m * (x_m * x_m))))) / (x_m * (0.5 - (0.2514179000665374 / (x_m * x_m))));
	}
	return x_s * tmp;
}

Python

x\_m = math.fabs(x)
x\_s = math.copysign(1.0, x)
def code(x_s, x_m):
	t_0 = (x_m * x_m) * (x_m * x_m)
	t_1 = (x_m * x_m) * t_0
	t_2 = (x_m * x_m) * t_1
	t_3 = (x_m * x_m) * t_2
	tmp = 0
	if x_m <= 100000.0:
		tmp = x_m * ((((((1.0 + (0.1049934947 * (x_m * x_m))) + (0.0424060604 * t_0)) + (0.0072644182 * t_1)) + (0.0005064034 * t_2)) + (0.0001789971 * t_3)) / ((((((1.0 + ((x_m * x_m) * 0.7715471019)) + (t_0 * 0.2909738639)) + (t_1 * 0.0694555761)) + (t_2 * 0.0140005442)) + (t_3 * 0.0008327945)) + ((0.0001789971 * 2.0) * ((x_m * x_m) * t_3))))
	else:
		tmp = (0.25 - (0.06321096047386739 / (x_m * (x_m * (x_m * x_m))))) / (x_m * (0.5 - (0.2514179000665374 / (x_m * x_m))))
	return x_s * tmp

Julia

x\_m = abs(x)
x\_s = copysign(1.0, x)
function code(x_s, x_m)
	t_0 = Float64(Float64(x_m * x_m) * Float64(x_m * x_m))
	t_1 = Float64(Float64(x_m * x_m) * t_0)
	t_2 = Float64(Float64(x_m * x_m) * t_1)
	t_3 = Float64(Float64(x_m * x_m) * t_2)
	tmp = 0.0
	if (x_m <= 100000.0)
		tmp = Float64(x_m * Float64(Float64(Float64(Float64(Float64(Float64(1.0 + Float64(0.1049934947 * Float64(x_m * x_m))) + Float64(0.0424060604 * t_0)) + Float64(0.0072644182 * t_1)) + Float64(0.0005064034 * t_2)) + Float64(0.0001789971 * t_3)) / Float64(Float64(Float64(Float64(Float64(Float64(1.0 + Float64(Float64(x_m * x_m) * 0.7715471019)) + Float64(t_0 * 0.2909738639)) + Float64(t_1 * 0.0694555761)) + Float64(t_2 * 0.0140005442)) + Float64(t_3 * 0.0008327945)) + Float64(Float64(0.0001789971 * 2.0) * Float64(Float64(x_m * x_m) * t_3)))));
	else
		tmp = Float64(Float64(0.25 - Float64(0.06321096047386739 / Float64(x_m * Float64(x_m * Float64(x_m * x_m))))) / Float64(x_m * Float64(0.5 - Float64(0.2514179000665374 / Float64(x_m * x_m)))));
	end
	return Float64(x_s * tmp)
end

MATLAB

x\_m = abs(x);
x\_s = sign(x) * abs(1.0);
function tmp_2 = code(x_s, x_m)
	t_0 = (x_m * x_m) * (x_m * x_m);
	t_1 = (x_m * x_m) * t_0;
	t_2 = (x_m * x_m) * t_1;
	t_3 = (x_m * x_m) * t_2;
	tmp = 0.0;
	if (x_m <= 100000.0)
		tmp = x_m * ((((((1.0 + (0.1049934947 * (x_m * x_m))) + (0.0424060604 * t_0)) + (0.0072644182 * t_1)) + (0.0005064034 * t_2)) + (0.0001789971 * t_3)) / ((((((1.0 + ((x_m * x_m) * 0.7715471019)) + (t_0 * 0.2909738639)) + (t_1 * 0.0694555761)) + (t_2 * 0.0140005442)) + (t_3 * 0.0008327945)) + ((0.0001789971 * 2.0) * ((x_m * x_m) * t_3))));
	else
		tmp = (0.25 - (0.06321096047386739 / (x_m * (x_m * (x_m * x_m))))) / (x_m * (0.5 - (0.2514179000665374 / (x_m * x_m))));
	end
	tmp_2 = x_s * tmp;
end

Wolfram

x\_m = N[Abs[x], $MachinePrecision]
x\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[x]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[x$95$s_, x$95$m_] := Block[{t$95$0 = N[(N[(x$95$m * x$95$m), $MachinePrecision] * N[(x$95$m * x$95$m), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(x$95$m * x$95$m), $MachinePrecision] * t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(x$95$m * x$95$m), $MachinePrecision] * t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[(N[(x$95$m * x$95$m), $MachinePrecision] * t$95$2), $MachinePrecision]}, N[(x$95$s * If[LessEqual[x$95$m, 100000.0], N[(x$95$m * N[(N[(N[(N[(N[(N[(1.0 + N[(0.1049934947 * N[(x$95$m * x$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.0424060604 * t$95$0), $MachinePrecision]), $MachinePrecision] + N[(0.0072644182 * t$95$1), $MachinePrecision]), $MachinePrecision] + N[(0.0005064034 * t$95$2), $MachinePrecision]), $MachinePrecision] + N[(0.0001789971 * t$95$3), $MachinePrecision]), $MachinePrecision] / N[(N[(N[(N[(N[(N[(1.0 + N[(N[(x$95$m * x$95$m), $MachinePrecision] * 0.7715471019), $MachinePrecision]), $MachinePrecision] + N[(t$95$0 * 0.2909738639), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 * 0.0694555761), $MachinePrecision]), $MachinePrecision] + N[(t$95$2 * 0.0140005442), $MachinePrecision]), $MachinePrecision] + N[(t$95$3 * 0.0008327945), $MachinePrecision]), $MachinePrecision] + N[(N[(0.0001789971 * 2.0), $MachinePrecision] * N[(N[(x$95$m * x$95$m), $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(0.25 - N[(0.06321096047386739 / N[(x$95$m * N[(x$95$m * N[(x$95$m * x$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x$95$m * N[(0.5 - N[(0.2514179000665374 / N[(x$95$m * x$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]]]]]

Derivation

1. Split input into 2 regimes

2. if x < 1e5

   1. Initial program 74.7%

      \[\frac{\left(\left(\left(\left(1 + 0.1049934947 \cdot \left(x \cdot x\right)\right) + 0.0424060604 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0072644182 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0005064034 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0001789971 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)}{\left(\left(\left(\left(\left(1 + 0.7715471019 \cdot \left(x \cdot x\right)\right) + 0.2909738639 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0694555761 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0140005442 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0008327945 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + \left(2 \cdot 0.0001789971\right) \cdot \left(\left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)} \cdot x \]
   2. Add Preprocessing

   if 1e5 < x

   1. Initial program 11.0%

      \[\frac{\left(\left(\left(\left(1 + 0.1049934947 \cdot \left(x \cdot x\right)\right) + 0.0424060604 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0072644182 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0005064034 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0001789971 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)}{\left(\left(\left(\left(\left(1 + 0.7715471019 \cdot \left(x \cdot x\right)\right) + 0.2909738639 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0694555761 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0140005442 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0008327945 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + \left(2 \cdot 0.0001789971\right) \cdot \left(\left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)} \cdot x \]
   2. Add Preprocessing

   4. Applied rewrites 11.0%

      \[\leadsto \color{blue}{\frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right), 0.0005064034, \left(0.0001789971 \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\right)\right), \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, 0.0424060604, \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot 0.0072644182\right), \mathsf{fma}\left(x \cdot x, 0.1049934947, 1\right)\right)\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(\left(x \cdot x\right) \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\right), 0.0008327945, \left(\left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\right)\right) \cdot 0.0003579942\right), \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot \left(x \cdot \left(x \cdot x\right)\right), 0.0694555761, \left(0.0140005442 \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\right) \cdot x\right), \mathsf{fma}\left(x \cdot x, 0.7715471019 + \left(x \cdot x\right) \cdot 0.2909738639, 1\right)\right)\right)}} \]

   5. Taylor expanded in x around inf

      \[\leadsto \color{blue}{\frac{\frac{1}{2} + \frac{600041}{2386628} \cdot \frac{1}{{x}^{2}}}{x}} \]
   6. Step-by-step derivation

      1. lower-/.f64 N/A

         \[\leadsto \color{blue}{\frac{\frac{1}{2} + \frac{600041}{2386628} \cdot \frac{1}{{x}^{2}}}{x}} \]

      2. lower-+.f64 N/A

         \[\leadsto \frac{\color{blue}{\frac{1}{2} + \frac{600041}{2386628} \cdot \frac{1}{{x}^{2}}}}{x} \]

      3. associate-*r/ N/A

         \[\leadsto \frac{\frac{1}{2} + \color{blue}{\frac{\frac{600041}{2386628} \cdot 1}{{x}^{2}}}}{x} \]

      4. metadata-eval N/A

         \[\leadsto \frac{\frac{1}{2} + \frac{\color{blue}{\frac{600041}{2386628}}}{{x}^{2}}}{x} \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{\frac{1}{2} + \color{blue}{\frac{\frac{600041}{2386628}}{{x}^{2}}}}{x} \]

      6. unpow2 N/A

         \[\leadsto \frac{\frac{1}{2} + \frac{\frac{600041}{2386628}}{\color{blue}{x \cdot x}}}{x} \]

      7. lower-*.f64 100.0

         \[\leadsto \frac{0.5 + \frac{0.2514179000665374}{\color{blue}{x \cdot x}}}{x} \]

   7. Applied rewrites 100.0%

      \[\leadsto \color{blue}{\frac{0.5 + \frac{0.2514179000665374}{x \cdot x}}{x}} \]
   8. Step-by-step derivation

   9. Applied rewrites 100.0%

      \[\leadsto \frac{\left(0.25 - \frac{0.06321096047386739}{x \cdot \left(x \cdot \left(x \cdot x\right)\right)}\right) \cdot 1}{\color{blue}{\left(0.5 - \frac{0.2514179000665374}{x \cdot x}\right) \cdot x}} \]
3. Recombined 2 regimes into one program.

4. Final simplification 80.1%

   \[\leadsto \begin{array}{l} \mathbf{if}\;x \leq 100000:\\ \;\;\;\;x \cdot \frac{\left(\left(\left(\left(1 + 0.1049934947 \cdot \left(x \cdot x\right)\right) + 0.0424060604 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0072644182 \cdot \left(\left(x \cdot x\right) \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right)\right) + 0.0005064034 \cdot \left(\left(x \cdot x\right) \cdot \left(\left(x \cdot x\right) \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right)\right)\right) + 0.0001789971 \cdot \left(\left(x \cdot x\right) \cdot \left(\left(x \cdot x\right) \cdot \left(\left(x \cdot x\right) \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right)\right)\right)}{\left(\left(\left(\left(\left(1 + \left(x \cdot x\right) \cdot 0.7715471019\right) + \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot 0.2909738639\right) + \left(\left(x \cdot x\right) \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) \cdot 0.0694555761\right) + \left(\left(x \cdot x\right) \cdot \left(\left(x \cdot x\right) \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right)\right) \cdot 0.0140005442\right) + \left(\left(x \cdot x\right) \cdot \left(\left(x \cdot x\right) \cdot \left(\left(x \cdot x\right) \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right)\right)\right) \cdot 0.0008327945\right) + \left(0.0001789971 \cdot 2\right) \cdot \left(\left(x \cdot x\right) \cdot \left(\left(x \cdot x\right) \cdot \left(\left(x \cdot x\right) \cdot \left(\left(x \cdot x\right) \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right)\right)\right)\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{0.25 - \frac{0.06321096047386739}{x \cdot \left(x \cdot \left(x \cdot x\right)\right)}}{x \cdot \left(0.5 - \frac{0.2514179000665374}{x \cdot x}\right)}\\ \end{array} \]
5. Add Preprocessing

Alternative 2: 100.0% accurate, 2.0× speedup

Math

\[\begin{array}{l} x\_m = \left|x\right| \\ x\_s = \mathsf{copysign}\left(1, x\right) \\ \begin{array}{l} t_0 := x\_m \cdot \left(x\_m \cdot x\_m\right)\\ x\_s \cdot \begin{array}{l} \mathbf{if}\;x\_m \leq 100000:\\ \;\;\;\;x\_m \cdot \frac{\mathsf{fma}\left(x\_m \cdot x\_m, \mathsf{fma}\left(x\_m, \mathsf{fma}\left(x\_m, t\_0 \cdot \left(x\_m \cdot \mathsf{fma}\left(x\_m \cdot x\_m, 0.0001789971, 0.0005064034\right)\right), x\_m \cdot \mathsf{fma}\left(x\_m \cdot x\_m, 0.0072644182, 0.0424060604\right)\right), 0.1049934947\right), 1\right)}{\mathsf{fma}\left(x\_m \cdot x\_m, \mathsf{fma}\left(x\_m, \mathsf{fma}\left(x\_m, t\_0 \cdot \mathsf{fma}\left(x\_m, \left(x\_m \cdot x\_m\right) \cdot 0.0008327945, x\_m \cdot \left(x\_m \cdot \left(0.0003579942 \cdot t\_0\right)\right)\right), x\_m \cdot \mathsf{fma}\left(x\_m, \mathsf{fma}\left(x\_m, \left(x\_m \cdot x\_m\right) \cdot 0.0140005442, x\_m \cdot 0.0694555761\right), 0.2909738639\right)\right), 0.7715471019\right), 1\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{0.25 - \frac{0.06321096047386739}{x\_m \cdot t\_0}}{x\_m \cdot \left(0.5 - \frac{0.2514179000665374}{x\_m \cdot x\_m}\right)}\\ \end{array} \end{array} \end{array} \]

FPCore

x\_m = (fabs.f64 x)
x\_s = (copysign.f64 #s(literal 1 binary64) x)
(FPCore (x_s x_m)
 :precision binary64
 (let* ((t_0 (* x_m (* x_m x_m))))
   (*
    x_s
    (if (<= x_m 100000.0)
      (*
       x_m
       (/
        (fma
         (* x_m x_m)
         (fma
          x_m
          (fma
           x_m
           (* t_0 (* x_m (fma (* x_m x_m) 0.0001789971 0.0005064034)))
           (* x_m (fma (* x_m x_m) 0.0072644182 0.0424060604)))
          0.1049934947)
         1.0)
        (fma
         (* x_m x_m)
         (fma
          x_m
          (fma
           x_m
           (*
            t_0
            (fma
             x_m
             (* (* x_m x_m) 0.0008327945)
             (* x_m (* x_m (* 0.0003579942 t_0)))))
           (*
            x_m
            (fma
             x_m
             (fma x_m (* (* x_m x_m) 0.0140005442) (* x_m 0.0694555761))
             0.2909738639)))
          0.7715471019)
         1.0)))
      (/
       (- 0.25 (/ 0.06321096047386739 (* x_m t_0)))
       (* x_m (- 0.5 (/ 0.2514179000665374 (* x_m x_m)))))))))

C

x\_m = fabs(x);
x\_s = copysign(1.0, x);
double code(double x_s, double x_m) {
	double t_0 = x_m * (x_m * x_m);
	double tmp;
	if (x_m <= 100000.0) {
		tmp = x_m * (fma((x_m * x_m), fma(x_m, fma(x_m, (t_0 * (x_m * fma((x_m * x_m), 0.0001789971, 0.0005064034))), (x_m * fma((x_m * x_m), 0.0072644182, 0.0424060604))), 0.1049934947), 1.0) / fma((x_m * x_m), fma(x_m, fma(x_m, (t_0 * fma(x_m, ((x_m * x_m) * 0.0008327945), (x_m * (x_m * (0.0003579942 * t_0))))), (x_m * fma(x_m, fma(x_m, ((x_m * x_m) * 0.0140005442), (x_m * 0.0694555761)), 0.2909738639))), 0.7715471019), 1.0));
	} else {
		tmp = (0.25 - (0.06321096047386739 / (x_m * t_0))) / (x_m * (0.5 - (0.2514179000665374 / (x_m * x_m))));
	}
	return x_s * tmp;
}

Julia

x\_m = abs(x)
x\_s = copysign(1.0, x)
function code(x_s, x_m)
	t_0 = Float64(x_m * Float64(x_m * x_m))
	tmp = 0.0
	if (x_m <= 100000.0)
		tmp = Float64(x_m * Float64(fma(Float64(x_m * x_m), fma(x_m, fma(x_m, Float64(t_0 * Float64(x_m * fma(Float64(x_m * x_m), 0.0001789971, 0.0005064034))), Float64(x_m * fma(Float64(x_m * x_m), 0.0072644182, 0.0424060604))), 0.1049934947), 1.0) / fma(Float64(x_m * x_m), fma(x_m, fma(x_m, Float64(t_0 * fma(x_m, Float64(Float64(x_m * x_m) * 0.0008327945), Float64(x_m * Float64(x_m * Float64(0.0003579942 * t_0))))), Float64(x_m * fma(x_m, fma(x_m, Float64(Float64(x_m * x_m) * 0.0140005442), Float64(x_m * 0.0694555761)), 0.2909738639))), 0.7715471019), 1.0)));
	else
		tmp = Float64(Float64(0.25 - Float64(0.06321096047386739 / Float64(x_m * t_0))) / Float64(x_m * Float64(0.5 - Float64(0.2514179000665374 / Float64(x_m * x_m)))));
	end
	return Float64(x_s * tmp)
end

Wolfram

x\_m = N[Abs[x], $MachinePrecision]
x\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[x]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[x$95$s_, x$95$m_] := Block[{t$95$0 = N[(x$95$m * N[(x$95$m * x$95$m), $MachinePrecision]), $MachinePrecision]}, N[(x$95$s * If[LessEqual[x$95$m, 100000.0], N[(x$95$m * N[(N[(N[(x$95$m * x$95$m), $MachinePrecision] * N[(x$95$m * N[(x$95$m * N[(t$95$0 * N[(x$95$m * N[(N[(x$95$m * x$95$m), $MachinePrecision] * 0.0001789971 + 0.0005064034), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(x$95$m * N[(N[(x$95$m * x$95$m), $MachinePrecision] * 0.0072644182 + 0.0424060604), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 0.1049934947), $MachinePrecision] + 1.0), $MachinePrecision] / N[(N[(x$95$m * x$95$m), $MachinePrecision] * N[(x$95$m * N[(x$95$m * N[(t$95$0 * N[(x$95$m * N[(N[(x$95$m * x$95$m), $MachinePrecision] * 0.0008327945), $MachinePrecision] + N[(x$95$m * N[(x$95$m * N[(0.0003579942 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(x$95$m * N[(x$95$m * N[(x$95$m * N[(N[(x$95$m * x$95$m), $MachinePrecision] * 0.0140005442), $MachinePrecision] + N[(x$95$m * 0.0694555761), $MachinePrecision]), $MachinePrecision] + 0.2909738639), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 0.7715471019), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(0.25 - N[(0.06321096047386739 / N[(x$95$m * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x$95$m * N[(0.5 - N[(0.2514179000665374 / N[(x$95$m * x$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if x < 1e5

   1. Initial program 74.7%

      \[\frac{\left(\left(\left(\left(1 + 0.1049934947 \cdot \left(x \cdot x\right)\right) + 0.0424060604 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0072644182 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0005064034 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0001789971 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)}{\left(\left(\left(\left(\left(1 + 0.7715471019 \cdot \left(x \cdot x\right)\right) + 0.2909738639 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0694555761 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0140005442 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0008327945 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + \left(2 \cdot 0.0001789971\right) \cdot \left(\left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)} \cdot x \]
   2. Add Preprocessing

   4. Applied rewrites 74.7%

      \[\leadsto \color{blue}{\frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right), 0.0005064034, \left(0.0001789971 \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\right)\right), \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, 0.0424060604, \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot 0.0072644182\right), \mathsf{fma}\left(x \cdot x, 0.1049934947, 1\right)\right)\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(\left(x \cdot x\right) \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\right), 0.0008327945, \left(\left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\right)\right) \cdot 0.0003579942\right), \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot \left(x \cdot \left(x \cdot x\right)\right), 0.0694555761, \left(0.0140005442 \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\right) \cdot x\right), \mathsf{fma}\left(x \cdot x, 0.7715471019 + \left(x \cdot x\right) \cdot 0.2909738639, 1\right)\right)\right)}} \]

   6. Applied rewrites 74.7%

      \[\leadsto \color{blue}{\frac{x \cdot \mathsf{fma}\left(x, x \cdot \left(\left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\right) \cdot \mathsf{fma}\left(x, x \cdot 0.0001789971, 0.0005064034\right)\right), \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot x\right) \cdot 0.0072644182, x \cdot 0.0424060604\right), 0.1049934947\right), 1\right)\right)}{\mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x \cdot x, \left(x \cdot x\right) \cdot \left(x \cdot \left(\left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot 0.0003579942\right)\right), \left(x \cdot \left(x \cdot x\right)\right) \cdot \left(\left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot 0.0008327945\right)\right), \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot 0.0140005442, \left(x \cdot \left(x \cdot x\right)\right) \cdot 0.0694555761\right), \mathsf{fma}\left(x \cdot x, 0.2909738639, 0.7715471019\right)\right), 1\right)\right)}} \]

   8. Applied rewrites 74.7%

      \[\leadsto \color{blue}{\frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, 0.0001789971, 0.0005064034\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot 0.0072644182, 0.0424060604\right), 0.1049934947\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \left(\left(x \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot 0.0003579942, \left(\left(x \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot 0.0008327945\right), \mathsf{fma}\left(x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot x\right)\right) \cdot 0.0140005442, \left(x \cdot x\right) \cdot 0.0694555761\right), x \cdot 0.2909738639\right), 0.7715471019\right)\right), 1\right)}} \]

   10. Applied rewrites 74.7%

       \[\leadsto \color{blue}{x \cdot \frac{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot \mathsf{fma}\left(x \cdot x, 0.0001789971, 0.0005064034\right)\right), x \cdot \mathsf{fma}\left(x \cdot x, 0.0072644182, 0.0424060604\right)\right), 0.1049934947\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot x\right)\right) \cdot \mathsf{fma}\left(x, \left(x \cdot x\right) \cdot 0.0008327945, x \cdot \left(x \cdot \left(\left(x \cdot \left(x \cdot x\right)\right) \cdot 0.0003579942\right)\right)\right), x \cdot \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot x\right) \cdot 0.0140005442, x \cdot 0.0694555761\right), 0.2909738639\right)\right), 0.7715471019\right), 1\right)}} \]

   if 1e5 < x

   1. Initial program 11.0%

      \[\frac{\left(\left(\left(\left(1 + 0.1049934947 \cdot \left(x \cdot x\right)\right) + 0.0424060604 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0072644182 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0005064034 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0001789971 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)}{\left(\left(\left(\left(\left(1 + 0.7715471019 \cdot \left(x \cdot x\right)\right) + 0.2909738639 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0694555761 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0140005442 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0008327945 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + \left(2 \cdot 0.0001789971\right) \cdot \left(\left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)} \cdot x \]
   2. Add Preprocessing

   4. Applied rewrites 11.0%

      \[\leadsto \color{blue}{\frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right), 0.0005064034, \left(0.0001789971 \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\right)\right), \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, 0.0424060604, \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot 0.0072644182\right), \mathsf{fma}\left(x \cdot x, 0.1049934947, 1\right)\right)\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(\left(x \cdot x\right) \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\right), 0.0008327945, \left(\left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\right)\right) \cdot 0.0003579942\right), \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot \left(x \cdot \left(x \cdot x\right)\right), 0.0694555761, \left(0.0140005442 \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\right) \cdot x\right), \mathsf{fma}\left(x \cdot x, 0.7715471019 + \left(x \cdot x\right) \cdot 0.2909738639, 1\right)\right)\right)}} \]

   5. Taylor expanded in x around inf

      \[\leadsto \color{blue}{\frac{\frac{1}{2} + \frac{600041}{2386628} \cdot \frac{1}{{x}^{2}}}{x}} \]
   6. Step-by-step derivation

      1. lower-/.f64 N/A

         \[\leadsto \color{blue}{\frac{\frac{1}{2} + \frac{600041}{2386628} \cdot \frac{1}{{x}^{2}}}{x}} \]

      2. lower-+.f64 N/A

         \[\leadsto \frac{\color{blue}{\frac{1}{2} + \frac{600041}{2386628} \cdot \frac{1}{{x}^{2}}}}{x} \]

      3. associate-*r/ N/A

         \[\leadsto \frac{\frac{1}{2} + \color{blue}{\frac{\frac{600041}{2386628} \cdot 1}{{x}^{2}}}}{x} \]

      4. metadata-eval N/A

         \[\leadsto \frac{\frac{1}{2} + \frac{\color{blue}{\frac{600041}{2386628}}}{{x}^{2}}}{x} \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{\frac{1}{2} + \color{blue}{\frac{\frac{600041}{2386628}}{{x}^{2}}}}{x} \]

      6. unpow2 N/A

         \[\leadsto \frac{\frac{1}{2} + \frac{\frac{600041}{2386628}}{\color{blue}{x \cdot x}}}{x} \]

      7. lower-*.f64 100.0

         \[\leadsto \frac{0.5 + \frac{0.2514179000665374}{\color{blue}{x \cdot x}}}{x} \]

   7. Applied rewrites 100.0%

      \[\leadsto \color{blue}{\frac{0.5 + \frac{0.2514179000665374}{x \cdot x}}{x}} \]
   8. Step-by-step derivation

   9. Applied rewrites 100.0%

      \[\leadsto \frac{\left(0.25 - \frac{0.06321096047386739}{x \cdot \left(x \cdot \left(x \cdot x\right)\right)}\right) \cdot 1}{\color{blue}{\left(0.5 - \frac{0.2514179000665374}{x \cdot x}\right) \cdot x}} \]
3. Recombined 2 regimes into one program.

4. Final simplification 80.1%

   \[\leadsto \begin{array}{l} \mathbf{if}\;x \leq 100000:\\ \;\;\;\;x \cdot \frac{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot \mathsf{fma}\left(x \cdot x, 0.0001789971, 0.0005064034\right)\right), x \cdot \mathsf{fma}\left(x \cdot x, 0.0072644182, 0.0424060604\right)\right), 0.1049934947\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot x\right)\right) \cdot \mathsf{fma}\left(x, \left(x \cdot x\right) \cdot 0.0008327945, x \cdot \left(x \cdot \left(0.0003579942 \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\right), x \cdot \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot x\right) \cdot 0.0140005442, x \cdot 0.0694555761\right), 0.2909738639\right)\right), 0.7715471019\right), 1\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{0.25 - \frac{0.06321096047386739}{x \cdot \left(x \cdot \left(x \cdot x\right)\right)}}{x \cdot \left(0.5 - \frac{0.2514179000665374}{x \cdot x}\right)}\\ \end{array} \]
5. Add Preprocessing

Alternative 3: 99.7% accurate, 2.1× speedup

Math

\[\begin{array}{l} x\_m = \left|x\right| \\ x\_s = \mathsf{copysign}\left(1, x\right) \\ \begin{array}{l} t_0 := x\_m \cdot \left(x\_m \cdot x\_m\right)\\ t_1 := x\_m \cdot t\_0\\ x\_s \cdot \begin{array}{l} \mathbf{if}\;x\_m \leq 1.95:\\ \;\;\;\;\frac{x\_m \cdot \mathsf{fma}\left(x\_m \cdot x\_m, \mathsf{fma}\left(x\_m, \mathsf{fma}\left(x\_m \cdot x\_m, 0.0001789971, 0.0005064034\right) \cdot \left(x\_m \cdot t\_1\right), \mathsf{fma}\left(x\_m, x\_m \cdot \mathsf{fma}\left(x\_m, x\_m \cdot 0.0072644182, 0.0424060604\right), 0.1049934947\right)\right), 1\right)}{\mathsf{fma}\left(x\_m \cdot x\_m, \mathsf{fma}\left(x\_m \cdot x\_m, 0.0008327945 \cdot \left(\left(x\_m \cdot x\_m\right) \cdot t\_1\right), \mathsf{fma}\left(x\_m, \mathsf{fma}\left(x\_m, \mathsf{fma}\left(x\_m, 0.0140005442 \cdot t\_0, \left(x\_m \cdot x\_m\right) \cdot 0.0694555761\right), x\_m \cdot 0.2909738639\right), 0.7715471019\right)\right), 1\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{0.5 + \frac{0.2514179000665374}{x\_m \cdot x\_m}}{x\_m}\\ \end{array} \end{array} \end{array} \]

FPCore

x\_m = (fabs.f64 x)
x\_s = (copysign.f64 #s(literal 1 binary64) x)
(FPCore (x_s x_m)
 :precision binary64
 (let* ((t_0 (* x_m (* x_m x_m))) (t_1 (* x_m t_0)))
   (*
    x_s
    (if (<= x_m 1.95)
      (/
       (*
        x_m
        (fma
         (* x_m x_m)
         (fma
          x_m
          (* (fma (* x_m x_m) 0.0001789971 0.0005064034) (* x_m t_1))
          (fma
           x_m
           (* x_m (fma x_m (* x_m 0.0072644182) 0.0424060604))
           0.1049934947))
         1.0))
       (fma
        (* x_m x_m)
        (fma
         (* x_m x_m)
         (* 0.0008327945 (* (* x_m x_m) t_1))
         (fma
          x_m
          (fma
           x_m
           (fma x_m (* 0.0140005442 t_0) (* (* x_m x_m) 0.0694555761))
           (* x_m 0.2909738639))
          0.7715471019))
        1.0))
      (/ (+ 0.5 (/ 0.2514179000665374 (* x_m x_m))) x_m)))))

C

x\_m = fabs(x);
x\_s = copysign(1.0, x);
double code(double x_s, double x_m) {
	double t_0 = x_m * (x_m * x_m);
	double t_1 = x_m * t_0;
	double tmp;
	if (x_m <= 1.95) {
		tmp = (x_m * fma((x_m * x_m), fma(x_m, (fma((x_m * x_m), 0.0001789971, 0.0005064034) * (x_m * t_1)), fma(x_m, (x_m * fma(x_m, (x_m * 0.0072644182), 0.0424060604)), 0.1049934947)), 1.0)) / fma((x_m * x_m), fma((x_m * x_m), (0.0008327945 * ((x_m * x_m) * t_1)), fma(x_m, fma(x_m, fma(x_m, (0.0140005442 * t_0), ((x_m * x_m) * 0.0694555761)), (x_m * 0.2909738639)), 0.7715471019)), 1.0);
	} else {
		tmp = (0.5 + (0.2514179000665374 / (x_m * x_m))) / x_m;
	}
	return x_s * tmp;
}

Julia

x\_m = abs(x)
x\_s = copysign(1.0, x)
function code(x_s, x_m)
	t_0 = Float64(x_m * Float64(x_m * x_m))
	t_1 = Float64(x_m * t_0)
	tmp = 0.0
	if (x_m <= 1.95)
		tmp = Float64(Float64(x_m * fma(Float64(x_m * x_m), fma(x_m, Float64(fma(Float64(x_m * x_m), 0.0001789971, 0.0005064034) * Float64(x_m * t_1)), fma(x_m, Float64(x_m * fma(x_m, Float64(x_m * 0.0072644182), 0.0424060604)), 0.1049934947)), 1.0)) / fma(Float64(x_m * x_m), fma(Float64(x_m * x_m), Float64(0.0008327945 * Float64(Float64(x_m * x_m) * t_1)), fma(x_m, fma(x_m, fma(x_m, Float64(0.0140005442 * t_0), Float64(Float64(x_m * x_m) * 0.0694555761)), Float64(x_m * 0.2909738639)), 0.7715471019)), 1.0));
	else
		tmp = Float64(Float64(0.5 + Float64(0.2514179000665374 / Float64(x_m * x_m))) / x_m);
	end
	return Float64(x_s * tmp)
end

Wolfram

x\_m = N[Abs[x], $MachinePrecision]
x\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[x]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[x$95$s_, x$95$m_] := Block[{t$95$0 = N[(x$95$m * N[(x$95$m * x$95$m), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(x$95$m * t$95$0), $MachinePrecision]}, N[(x$95$s * If[LessEqual[x$95$m, 1.95], N[(N[(x$95$m * N[(N[(x$95$m * x$95$m), $MachinePrecision] * N[(x$95$m * N[(N[(N[(x$95$m * x$95$m), $MachinePrecision] * 0.0001789971 + 0.0005064034), $MachinePrecision] * N[(x$95$m * t$95$1), $MachinePrecision]), $MachinePrecision] + N[(x$95$m * N[(x$95$m * N[(x$95$m * N[(x$95$m * 0.0072644182), $MachinePrecision] + 0.0424060604), $MachinePrecision]), $MachinePrecision] + 0.1049934947), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] / N[(N[(x$95$m * x$95$m), $MachinePrecision] * N[(N[(x$95$m * x$95$m), $MachinePrecision] * N[(0.0008327945 * N[(N[(x$95$m * x$95$m), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + N[(x$95$m * N[(x$95$m * N[(x$95$m * N[(0.0140005442 * t$95$0), $MachinePrecision] + N[(N[(x$95$m * x$95$m), $MachinePrecision] * 0.0694555761), $MachinePrecision]), $MachinePrecision] + N[(x$95$m * 0.2909738639), $MachinePrecision]), $MachinePrecision] + 0.7715471019), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision], N[(N[(0.5 + N[(0.2514179000665374 / N[(x$95$m * x$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x$95$m), $MachinePrecision]]), $MachinePrecision]]]

Derivation

1. Split input into 2 regimes

2. if x < 1.94999999999999996

   1. Initial program 74.6%

      \[\frac{\left(\left(\left(\left(1 + 0.1049934947 \cdot \left(x \cdot x\right)\right) + 0.0424060604 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0072644182 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0005064034 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0001789971 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)}{\left(\left(\left(\left(\left(1 + 0.7715471019 \cdot \left(x \cdot x\right)\right) + 0.2909738639 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0694555761 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0140005442 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0008327945 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + \left(2 \cdot 0.0001789971\right) \cdot \left(\left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)} \cdot x \]
   2. Add Preprocessing

   4. Applied rewrites 74.6%

      \[\leadsto \color{blue}{\frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right), 0.0005064034, \left(0.0001789971 \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\right)\right), \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, 0.0424060604, \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot 0.0072644182\right), \mathsf{fma}\left(x \cdot x, 0.1049934947, 1\right)\right)\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(\left(x \cdot x\right) \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\right), 0.0008327945, \left(\left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\right)\right) \cdot 0.0003579942\right), \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot \left(x \cdot \left(x \cdot x\right)\right), 0.0694555761, \left(0.0140005442 \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\right) \cdot x\right), \mathsf{fma}\left(x \cdot x, 0.7715471019 + \left(x \cdot x\right) \cdot 0.2909738639, 1\right)\right)\right)}} \]

   6. Applied rewrites 74.6%

      \[\leadsto \color{blue}{\frac{x \cdot \mathsf{fma}\left(x, x \cdot \left(\left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\right) \cdot \mathsf{fma}\left(x, x \cdot 0.0001789971, 0.0005064034\right)\right), \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot x\right) \cdot 0.0072644182, x \cdot 0.0424060604\right), 0.1049934947\right), 1\right)\right)}{\mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x \cdot x, \left(x \cdot x\right) \cdot \left(x \cdot \left(\left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot 0.0003579942\right)\right), \left(x \cdot \left(x \cdot x\right)\right) \cdot \left(\left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot 0.0008327945\right)\right), \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot 0.0140005442, \left(x \cdot \left(x \cdot x\right)\right) \cdot 0.0694555761\right), \mathsf{fma}\left(x \cdot x, 0.2909738639, 0.7715471019\right)\right), 1\right)\right)}} \]

   8. Applied rewrites 74.6%

      \[\leadsto \color{blue}{\frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, 0.0001789971, 0.0005064034\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot 0.0072644182, 0.0424060604\right), 0.1049934947\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \left(\left(x \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot 0.0003579942, \left(\left(x \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot 0.0008327945\right), \mathsf{fma}\left(x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot x\right)\right) \cdot 0.0140005442, \left(x \cdot x\right) \cdot 0.0694555761\right), x \cdot 0.2909738639\right), 0.7715471019\right)\right), 1\right)}} \]

   9. Taylor expanded in x around 0

      \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \color{blue}{\frac{1665589}{2000000000} \cdot {x}^{6}}, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot x\right)\right) \cdot \frac{70002721}{5000000000}, \left(x \cdot x\right) \cdot \frac{694555761}{10000000000}\right), x \cdot \frac{2909738639}{10000000000}\right), \frac{7715471019}{10000000000}\right)\right), 1\right)} \]
   10. Step-by-step derivation

       1. *-commutative N/A

          \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \color{blue}{{x}^{6} \cdot \frac{1665589}{2000000000}}, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot x\right)\right) \cdot \frac{70002721}{5000000000}, \left(x \cdot x\right) \cdot \frac{694555761}{10000000000}\right), x \cdot \frac{2909738639}{10000000000}\right), \frac{7715471019}{10000000000}\right)\right), 1\right)} \]

       2. lower-*.f64 N/A

          \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \color{blue}{{x}^{6} \cdot \frac{1665589}{2000000000}}, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot x\right)\right) \cdot \frac{70002721}{5000000000}, \left(x \cdot x\right) \cdot \frac{694555761}{10000000000}\right), x \cdot \frac{2909738639}{10000000000}\right), \frac{7715471019}{10000000000}\right)\right), 1\right)} \]

       3. metadata-eval N/A

          \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, {x}^{\color{blue}{\left(2 \cdot 3\right)}} \cdot \frac{1665589}{2000000000}, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot x\right)\right) \cdot \frac{70002721}{5000000000}, \left(x \cdot x\right) \cdot \frac{694555761}{10000000000}\right), x \cdot \frac{2909738639}{10000000000}\right), \frac{7715471019}{10000000000}\right)\right), 1\right)} \]

       4. pow-sqr N/A

          \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \color{blue}{\left({x}^{3} \cdot {x}^{3}\right)} \cdot \frac{1665589}{2000000000}, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot x\right)\right) \cdot \frac{70002721}{5000000000}, \left(x \cdot x\right) \cdot \frac{694555761}{10000000000}\right), x \cdot \frac{2909738639}{10000000000}\right), \frac{7715471019}{10000000000}\right)\right), 1\right)} \]

       5. cube-prod N/A

          \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \color{blue}{{\left(x \cdot x\right)}^{3}} \cdot \frac{1665589}{2000000000}, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot x\right)\right) \cdot \frac{70002721}{5000000000}, \left(x \cdot x\right) \cdot \frac{694555761}{10000000000}\right), x \cdot \frac{2909738639}{10000000000}\right), \frac{7715471019}{10000000000}\right)\right), 1\right)} \]

       6. unpow2 N/A

          \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, {\color{blue}{\left({x}^{2}\right)}}^{3} \cdot \frac{1665589}{2000000000}, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot x\right)\right) \cdot \frac{70002721}{5000000000}, \left(x \cdot x\right) \cdot \frac{694555761}{10000000000}\right), x \cdot \frac{2909738639}{10000000000}\right), \frac{7715471019}{10000000000}\right)\right), 1\right)} \]

       7. cube-unmult N/A

          \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \color{blue}{\left({x}^{2} \cdot \left({x}^{2} \cdot {x}^{2}\right)\right)} \cdot \frac{1665589}{2000000000}, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot x\right)\right) \cdot \frac{70002721}{5000000000}, \left(x \cdot x\right) \cdot \frac{694555761}{10000000000}\right), x \cdot \frac{2909738639}{10000000000}\right), \frac{7715471019}{10000000000}\right)\right), 1\right)} \]

       8. pow-sqr N/A

          \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \left({x}^{2} \cdot \color{blue}{{x}^{\left(2 \cdot 2\right)}}\right) \cdot \frac{1665589}{2000000000}, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot x\right)\right) \cdot \frac{70002721}{5000000000}, \left(x \cdot x\right) \cdot \frac{694555761}{10000000000}\right), x \cdot \frac{2909738639}{10000000000}\right), \frac{7715471019}{10000000000}\right)\right), 1\right)} \]

       9. metadata-eval N/A

          \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \left({x}^{2} \cdot {x}^{\color{blue}{4}}\right) \cdot \frac{1665589}{2000000000}, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot x\right)\right) \cdot \frac{70002721}{5000000000}, \left(x \cdot x\right) \cdot \frac{694555761}{10000000000}\right), x \cdot \frac{2909738639}{10000000000}\right), \frac{7715471019}{10000000000}\right)\right), 1\right)} \]

       10. lower-*.f64 N/A

           \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \color{blue}{\left({x}^{2} \cdot {x}^{4}\right)} \cdot \frac{1665589}{2000000000}, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot x\right)\right) \cdot \frac{70002721}{5000000000}, \left(x \cdot x\right) \cdot \frac{694555761}{10000000000}\right), x \cdot \frac{2909738639}{10000000000}\right), \frac{7715471019}{10000000000}\right)\right), 1\right)} \]

       11. unpow2 N/A

           \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \left(\color{blue}{\left(x \cdot x\right)} \cdot {x}^{4}\right) \cdot \frac{1665589}{2000000000}, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot x\right)\right) \cdot \frac{70002721}{5000000000}, \left(x \cdot x\right) \cdot \frac{694555761}{10000000000}\right), x \cdot \frac{2909738639}{10000000000}\right), \frac{7715471019}{10000000000}\right)\right), 1\right)} \]

       12. lower-*.f64 N/A

           \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \left(\color{blue}{\left(x \cdot x\right)} \cdot {x}^{4}\right) \cdot \frac{1665589}{2000000000}, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot x\right)\right) \cdot \frac{70002721}{5000000000}, \left(x \cdot x\right) \cdot \frac{694555761}{10000000000}\right), x \cdot \frac{2909738639}{10000000000}\right), \frac{7715471019}{10000000000}\right)\right), 1\right)} \]

       13. metadata-eval N/A

           \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \left(\left(x \cdot x\right) \cdot {x}^{\color{blue}{\left(2 \cdot 2\right)}}\right) \cdot \frac{1665589}{2000000000}, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot x\right)\right) \cdot \frac{70002721}{5000000000}, \left(x \cdot x\right) \cdot \frac{694555761}{10000000000}\right), x \cdot \frac{2909738639}{10000000000}\right), \frac{7715471019}{10000000000}\right)\right), 1\right)} \]

       14. pow-sqr N/A

           \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \left(\left(x \cdot x\right) \cdot \color{blue}{\left({x}^{2} \cdot {x}^{2}\right)}\right) \cdot \frac{1665589}{2000000000}, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot x\right)\right) \cdot \frac{70002721}{5000000000}, \left(x \cdot x\right) \cdot \frac{694555761}{10000000000}\right), x \cdot \frac{2909738639}{10000000000}\right), \frac{7715471019}{10000000000}\right)\right), 1\right)} \]

       15. unpow2 N/A

           \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \left(\left(x \cdot x\right) \cdot \left(\color{blue}{\left(x \cdot x\right)} \cdot {x}^{2}\right)\right) \cdot \frac{1665589}{2000000000}, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot x\right)\right) \cdot \frac{70002721}{5000000000}, \left(x \cdot x\right) \cdot \frac{694555761}{10000000000}\right), x \cdot \frac{2909738639}{10000000000}\right), \frac{7715471019}{10000000000}\right)\right), 1\right)} \]

       16. associate-*l* N/A

           \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \left(\left(x \cdot x\right) \cdot \color{blue}{\left(x \cdot \left(x \cdot {x}^{2}\right)\right)}\right) \cdot \frac{1665589}{2000000000}, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot x\right)\right) \cdot \frac{70002721}{5000000000}, \left(x \cdot x\right) \cdot \frac{694555761}{10000000000}\right), x \cdot \frac{2909738639}{10000000000}\right), \frac{7715471019}{10000000000}\right)\right), 1\right)} \]

       17. unpow2 N/A

           \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \left(\left(x \cdot x\right) \cdot \left(x \cdot \left(x \cdot \color{blue}{\left(x \cdot x\right)}\right)\right)\right) \cdot \frac{1665589}{2000000000}, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot x\right)\right) \cdot \frac{70002721}{5000000000}, \left(x \cdot x\right) \cdot \frac{694555761}{10000000000}\right), x \cdot \frac{2909738639}{10000000000}\right), \frac{7715471019}{10000000000}\right)\right), 1\right)} \]

       18. cube-mult N/A

           \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \left(\left(x \cdot x\right) \cdot \left(x \cdot \color{blue}{{x}^{3}}\right)\right) \cdot \frac{1665589}{2000000000}, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot x\right)\right) \cdot \frac{70002721}{5000000000}, \left(x \cdot x\right) \cdot \frac{694555761}{10000000000}\right), x \cdot \frac{2909738639}{10000000000}\right), \frac{7715471019}{10000000000}\right)\right), 1\right)} \]

       19. lower-*.f64 N/A

           \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \left(\left(x \cdot x\right) \cdot \color{blue}{\left(x \cdot {x}^{3}\right)}\right) \cdot \frac{1665589}{2000000000}, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot x\right)\right) \cdot \frac{70002721}{5000000000}, \left(x \cdot x\right) \cdot \frac{694555761}{10000000000}\right), x \cdot \frac{2909738639}{10000000000}\right), \frac{7715471019}{10000000000}\right)\right), 1\right)} \]

       20. cube-mult N/A

           \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \left(\left(x \cdot x\right) \cdot \left(x \cdot \color{blue}{\left(x \cdot \left(x \cdot x\right)\right)}\right)\right) \cdot \frac{1665589}{2000000000}, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot x\right)\right) \cdot \frac{70002721}{5000000000}, \left(x \cdot x\right) \cdot \frac{694555761}{10000000000}\right), x \cdot \frac{2909738639}{10000000000}\right), \frac{7715471019}{10000000000}\right)\right), 1\right)} \]

       21. unpow2 N/A

           \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \left(\left(x \cdot x\right) \cdot \left(x \cdot \left(x \cdot \color{blue}{{x}^{2}}\right)\right)\right) \cdot \frac{1665589}{2000000000}, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot x\right)\right) \cdot \frac{70002721}{5000000000}, \left(x \cdot x\right) \cdot \frac{694555761}{10000000000}\right), x \cdot \frac{2909738639}{10000000000}\right), \frac{7715471019}{10000000000}\right)\right), 1\right)} \]

       22. lower-*.f64 N/A

           \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \left(\left(x \cdot x\right) \cdot \left(x \cdot \color{blue}{\left(x \cdot {x}^{2}\right)}\right)\right) \cdot \frac{1665589}{2000000000}, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot x\right)\right) \cdot \frac{70002721}{5000000000}, \left(x \cdot x\right) \cdot \frac{694555761}{10000000000}\right), x \cdot \frac{2909738639}{10000000000}\right), \frac{7715471019}{10000000000}\right)\right), 1\right)} \]

       23. unpow2 N/A

           \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \left(\left(x \cdot x\right) \cdot \left(x \cdot \left(x \cdot \color{blue}{\left(x \cdot x\right)}\right)\right)\right) \cdot \frac{1665589}{2000000000}, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot x\right)\right) \cdot \frac{70002721}{5000000000}, \left(x \cdot x\right) \cdot \frac{694555761}{10000000000}\right), x \cdot \frac{2909738639}{10000000000}\right), \frac{7715471019}{10000000000}\right)\right), 1\right)} \]

       24. lower-*.f64 71.9

           \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, 0.0001789971, 0.0005064034\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot 0.0072644182, 0.0424060604\right), 0.1049934947\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \left(\left(x \cdot x\right) \cdot \left(x \cdot \left(x \cdot \color{blue}{\left(x \cdot x\right)}\right)\right)\right) \cdot 0.0008327945, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot x\right)\right) \cdot 0.0140005442, \left(x \cdot x\right) \cdot 0.0694555761\right), x \cdot 0.2909738639\right), 0.7715471019\right)\right), 1\right)} \]

   11. Applied rewrites 71.9%

       \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, 0.0001789971, 0.0005064034\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot 0.0072644182, 0.0424060604\right), 0.1049934947\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \color{blue}{\left(\left(x \cdot x\right) \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot 0.0008327945}, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot x\right)\right) \cdot 0.0140005442, \left(x \cdot x\right) \cdot 0.0694555761\right), x \cdot 0.2909738639\right), 0.7715471019\right)\right), 1\right)} \]

   if 1.94999999999999996 < x

   1. Initial program 12.6%

      \[\frac{\left(\left(\left(\left(1 + 0.1049934947 \cdot \left(x \cdot x\right)\right) + 0.0424060604 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0072644182 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0005064034 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0001789971 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)}{\left(\left(\left(\left(\left(1 + 0.7715471019 \cdot \left(x \cdot x\right)\right) + 0.2909738639 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0694555761 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0140005442 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0008327945 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + \left(2 \cdot 0.0001789971\right) \cdot \left(\left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)} \cdot x \]
   2. Add Preprocessing

   3. Taylor expanded in x around inf

      \[\leadsto \color{blue}{\frac{\frac{1}{2} + \frac{600041}{2386628} \cdot \frac{1}{{x}^{2}}}{x}} \]
   4. Step-by-step derivation

      1. lower-/.f64 N/A

         \[\leadsto \color{blue}{\frac{\frac{1}{2} + \frac{600041}{2386628} \cdot \frac{1}{{x}^{2}}}{x}} \]

      2. lower-+.f64 N/A

         \[\leadsto \frac{\color{blue}{\frac{1}{2} + \frac{600041}{2386628} \cdot \frac{1}{{x}^{2}}}}{x} \]

      3. associate-*r/ N/A

         \[\leadsto \frac{\frac{1}{2} + \color{blue}{\frac{\frac{600041}{2386628} \cdot 1}{{x}^{2}}}}{x} \]

      4. metadata-eval N/A

         \[\leadsto \frac{\frac{1}{2} + \frac{\color{blue}{\frac{600041}{2386628}}}{{x}^{2}}}{x} \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{\frac{1}{2} + \color{blue}{\frac{\frac{600041}{2386628}}{{x}^{2}}}}{x} \]

      6. unpow2 N/A

         \[\leadsto \frac{\frac{1}{2} + \frac{\frac{600041}{2386628}}{\color{blue}{x \cdot x}}}{x} \]

      7. lower-*.f64 100.0

         \[\leadsto \frac{0.5 + \frac{0.2514179000665374}{\color{blue}{x \cdot x}}}{x} \]

   5. Applied rewrites 100.0%

      \[\leadsto \color{blue}{\frac{0.5 + \frac{0.2514179000665374}{x \cdot x}}{x}} \]
3. Recombined 2 regimes into one program.

4. Final simplification 77.9%

   \[\leadsto \begin{array}{l} \mathbf{if}\;x \leq 1.95:\\ \;\;\;\;\frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \mathsf{fma}\left(x \cdot x, 0.0001789971, 0.0005064034\right) \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot 0.0072644182, 0.0424060604\right), 0.1049934947\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, 0.0008327945 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right), \mathsf{fma}\left(x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, 0.0140005442 \cdot \left(x \cdot \left(x \cdot x\right)\right), \left(x \cdot x\right) \cdot 0.0694555761\right), x \cdot 0.2909738639\right), 0.7715471019\right)\right), 1\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{0.5 + \frac{0.2514179000665374}{x \cdot x}}{x}\\ \end{array} \]
5. Add Preprocessing

Alternative 4: 99.6% accurate, 2.9× speedup

Math

\[\begin{array}{l} x\_m = \left|x\right| \\ x\_s = \mathsf{copysign}\left(1, x\right) \\ x\_s \cdot \begin{array}{l} \mathbf{if}\;x\_m \leq 1.82:\\ \;\;\;\;\frac{x\_m \cdot \mathsf{fma}\left(x\_m \cdot x\_m, \mathsf{fma}\left(x\_m, \mathsf{fma}\left(x\_m \cdot x\_m, 0.0001789971, 0.0005064034\right) \cdot \left(x\_m \cdot \left(x\_m \cdot \left(x\_m \cdot \left(x\_m \cdot x\_m\right)\right)\right)\right), \mathsf{fma}\left(x\_m, x\_m \cdot \mathsf{fma}\left(x\_m, x\_m \cdot 0.0072644182, 0.0424060604\right), 0.1049934947\right)\right), 1\right)}{\mathsf{fma}\left(x\_m \cdot x\_m, \mathsf{fma}\left(x\_m \cdot x\_m, \mathsf{fma}\left(x\_m, x\_m \cdot \mathsf{fma}\left(x\_m, x\_m \cdot 0.0140005442, 0.0694555761\right), 0.2909738639\right), 0.7715471019\right), 1\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{0.5 + \frac{0.2514179000665374}{x\_m \cdot x\_m}}{x\_m}\\ \end{array} \end{array} \]

FPCore

x\_m = (fabs.f64 x)
x\_s = (copysign.f64 #s(literal 1 binary64) x)
(FPCore (x_s x_m)
 :precision binary64
 (*
  x_s
  (if (<= x_m 1.82)
    (/
     (*
      x_m
      (fma
       (* x_m x_m)
       (fma
        x_m
        (*
         (fma (* x_m x_m) 0.0001789971 0.0005064034)
         (* x_m (* x_m (* x_m (* x_m x_m)))))
        (fma
         x_m
         (* x_m (fma x_m (* x_m 0.0072644182) 0.0424060604))
         0.1049934947))
       1.0))
     (fma
      (* x_m x_m)
      (fma
       (* x_m x_m)
       (fma
        x_m
        (* x_m (fma x_m (* x_m 0.0140005442) 0.0694555761))
        0.2909738639)
       0.7715471019)
      1.0))
    (/ (+ 0.5 (/ 0.2514179000665374 (* x_m x_m))) x_m))))

C

x\_m = fabs(x);
x\_s = copysign(1.0, x);
double code(double x_s, double x_m) {
	double tmp;
	if (x_m <= 1.82) {
		tmp = (x_m * fma((x_m * x_m), fma(x_m, (fma((x_m * x_m), 0.0001789971, 0.0005064034) * (x_m * (x_m * (x_m * (x_m * x_m))))), fma(x_m, (x_m * fma(x_m, (x_m * 0.0072644182), 0.0424060604)), 0.1049934947)), 1.0)) / fma((x_m * x_m), fma((x_m * x_m), fma(x_m, (x_m * fma(x_m, (x_m * 0.0140005442), 0.0694555761)), 0.2909738639), 0.7715471019), 1.0);
	} else {
		tmp = (0.5 + (0.2514179000665374 / (x_m * x_m))) / x_m;
	}
	return x_s * tmp;
}

Julia

x\_m = abs(x)
x\_s = copysign(1.0, x)
function code(x_s, x_m)
	tmp = 0.0
	if (x_m <= 1.82)
		tmp = Float64(Float64(x_m * fma(Float64(x_m * x_m), fma(x_m, Float64(fma(Float64(x_m * x_m), 0.0001789971, 0.0005064034) * Float64(x_m * Float64(x_m * Float64(x_m * Float64(x_m * x_m))))), fma(x_m, Float64(x_m * fma(x_m, Float64(x_m * 0.0072644182), 0.0424060604)), 0.1049934947)), 1.0)) / fma(Float64(x_m * x_m), fma(Float64(x_m * x_m), fma(x_m, Float64(x_m * fma(x_m, Float64(x_m * 0.0140005442), 0.0694555761)), 0.2909738639), 0.7715471019), 1.0));
	else
		tmp = Float64(Float64(0.5 + Float64(0.2514179000665374 / Float64(x_m * x_m))) / x_m);
	end
	return Float64(x_s * tmp)
end

Wolfram

x\_m = N[Abs[x], $MachinePrecision]
x\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[x]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[x$95$s_, x$95$m_] := N[(x$95$s * If[LessEqual[x$95$m, 1.82], N[(N[(x$95$m * N[(N[(x$95$m * x$95$m), $MachinePrecision] * N[(x$95$m * N[(N[(N[(x$95$m * x$95$m), $MachinePrecision] * 0.0001789971 + 0.0005064034), $MachinePrecision] * N[(x$95$m * N[(x$95$m * N[(x$95$m * N[(x$95$m * x$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(x$95$m * N[(x$95$m * N[(x$95$m * N[(x$95$m * 0.0072644182), $MachinePrecision] + 0.0424060604), $MachinePrecision]), $MachinePrecision] + 0.1049934947), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] / N[(N[(x$95$m * x$95$m), $MachinePrecision] * N[(N[(x$95$m * x$95$m), $MachinePrecision] * N[(x$95$m * N[(x$95$m * N[(x$95$m * N[(x$95$m * 0.0140005442), $MachinePrecision] + 0.0694555761), $MachinePrecision]), $MachinePrecision] + 0.2909738639), $MachinePrecision] + 0.7715471019), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision], N[(N[(0.5 + N[(0.2514179000665374 / N[(x$95$m * x$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x$95$m), $MachinePrecision]]), $MachinePrecision]

Derivation

1. Split input into 2 regimes

2. if x < 1.82000000000000006

   1. Initial program 74.6%

      \[\frac{\left(\left(\left(\left(1 + 0.1049934947 \cdot \left(x \cdot x\right)\right) + 0.0424060604 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0072644182 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0005064034 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0001789971 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)}{\left(\left(\left(\left(\left(1 + 0.7715471019 \cdot \left(x \cdot x\right)\right) + 0.2909738639 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0694555761 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0140005442 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0008327945 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + \left(2 \cdot 0.0001789971\right) \cdot \left(\left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)} \cdot x \]
   2. Add Preprocessing

   4. Applied rewrites 74.6%

      \[\leadsto \color{blue}{\frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right), 0.0005064034, \left(0.0001789971 \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\right)\right), \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, 0.0424060604, \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot 0.0072644182\right), \mathsf{fma}\left(x \cdot x, 0.1049934947, 1\right)\right)\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(\left(x \cdot x\right) \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\right), 0.0008327945, \left(\left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\right)\right) \cdot 0.0003579942\right), \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot \left(x \cdot \left(x \cdot x\right)\right), 0.0694555761, \left(0.0140005442 \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\right) \cdot x\right), \mathsf{fma}\left(x \cdot x, 0.7715471019 + \left(x \cdot x\right) \cdot 0.2909738639, 1\right)\right)\right)}} \]

   6. Applied rewrites 74.6%

      \[\leadsto \color{blue}{\frac{x \cdot \mathsf{fma}\left(x, x \cdot \left(\left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\right) \cdot \mathsf{fma}\left(x, x \cdot 0.0001789971, 0.0005064034\right)\right), \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot x\right) \cdot 0.0072644182, x \cdot 0.0424060604\right), 0.1049934947\right), 1\right)\right)}{\mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x \cdot x, \left(x \cdot x\right) \cdot \left(x \cdot \left(\left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot 0.0003579942\right)\right), \left(x \cdot \left(x \cdot x\right)\right) \cdot \left(\left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot 0.0008327945\right)\right), \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot 0.0140005442, \left(x \cdot \left(x \cdot x\right)\right) \cdot 0.0694555761\right), \mathsf{fma}\left(x \cdot x, 0.2909738639, 0.7715471019\right)\right), 1\right)\right)}} \]

   8. Applied rewrites 74.6%

      \[\leadsto \color{blue}{\frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, 0.0001789971, 0.0005064034\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot 0.0072644182, 0.0424060604\right), 0.1049934947\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \left(\left(x \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot 0.0003579942, \left(\left(x \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot 0.0008327945\right), \mathsf{fma}\left(x, \mathsf{fma}\left(x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot x\right)\right) \cdot 0.0140005442, \left(x \cdot x\right) \cdot 0.0694555761\right), x \cdot 0.2909738639\right), 0.7715471019\right)\right), 1\right)}} \]

   9. Taylor expanded in x around 0

      \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \color{blue}{\frac{7715471019}{10000000000} + {x}^{2} \cdot \left(\frac{2909738639}{10000000000} + {x}^{2} \cdot \left(\frac{694555761}{10000000000} + \frac{70002721}{5000000000} \cdot {x}^{2}\right)\right)}, 1\right)} \]
   10. Step-by-step derivation

       1. +-commutative N/A

          \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \color{blue}{{x}^{2} \cdot \left(\frac{2909738639}{10000000000} + {x}^{2} \cdot \left(\frac{694555761}{10000000000} + \frac{70002721}{5000000000} \cdot {x}^{2}\right)\right) + \frac{7715471019}{10000000000}}, 1\right)} \]

       2. lower-fma.f64 N/A

          \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \color{blue}{\mathsf{fma}\left({x}^{2}, \frac{2909738639}{10000000000} + {x}^{2} \cdot \left(\frac{694555761}{10000000000} + \frac{70002721}{5000000000} \cdot {x}^{2}\right), \frac{7715471019}{10000000000}\right)}, 1\right)} \]

       3. unpow2 N/A

          \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(\color{blue}{x \cdot x}, \frac{2909738639}{10000000000} + {x}^{2} \cdot \left(\frac{694555761}{10000000000} + \frac{70002721}{5000000000} \cdot {x}^{2}\right), \frac{7715471019}{10000000000}\right), 1\right)} \]

       4. lower-*.f64 N/A

          \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(\color{blue}{x \cdot x}, \frac{2909738639}{10000000000} + {x}^{2} \cdot \left(\frac{694555761}{10000000000} + \frac{70002721}{5000000000} \cdot {x}^{2}\right), \frac{7715471019}{10000000000}\right), 1\right)} \]

       5. +-commutative N/A

          \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \color{blue}{{x}^{2} \cdot \left(\frac{694555761}{10000000000} + \frac{70002721}{5000000000} \cdot {x}^{2}\right) + \frac{2909738639}{10000000000}}, \frac{7715471019}{10000000000}\right), 1\right)} \]

       6. unpow2 N/A

          \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \color{blue}{\left(x \cdot x\right)} \cdot \left(\frac{694555761}{10000000000} + \frac{70002721}{5000000000} \cdot {x}^{2}\right) + \frac{2909738639}{10000000000}, \frac{7715471019}{10000000000}\right), 1\right)} \]

       7. associate-*l* N/A

          \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \color{blue}{x \cdot \left(x \cdot \left(\frac{694555761}{10000000000} + \frac{70002721}{5000000000} \cdot {x}^{2}\right)\right)} + \frac{2909738639}{10000000000}, \frac{7715471019}{10000000000}\right), 1\right)} \]

       8. *-commutative N/A

          \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, x \cdot \color{blue}{\left(\left(\frac{694555761}{10000000000} + \frac{70002721}{5000000000} \cdot {x}^{2}\right) \cdot x\right)} + \frac{2909738639}{10000000000}, \frac{7715471019}{10000000000}\right), 1\right)} \]

       9. lower-fma.f64 N/A

          \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \color{blue}{\mathsf{fma}\left(x, \left(\frac{694555761}{10000000000} + \frac{70002721}{5000000000} \cdot {x}^{2}\right) \cdot x, \frac{2909738639}{10000000000}\right)}, \frac{7715471019}{10000000000}\right), 1\right)} \]

       10. *-commutative N/A

           \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \color{blue}{x \cdot \left(\frac{694555761}{10000000000} + \frac{70002721}{5000000000} \cdot {x}^{2}\right)}, \frac{2909738639}{10000000000}\right), \frac{7715471019}{10000000000}\right), 1\right)} \]

       11. lower-*.f64 N/A

           \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \color{blue}{x \cdot \left(\frac{694555761}{10000000000} + \frac{70002721}{5000000000} \cdot {x}^{2}\right)}, \frac{2909738639}{10000000000}\right), \frac{7715471019}{10000000000}\right), 1\right)} \]

       12. +-commutative N/A

           \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, x \cdot \color{blue}{\left(\frac{70002721}{5000000000} \cdot {x}^{2} + \frac{694555761}{10000000000}\right)}, \frac{2909738639}{10000000000}\right), \frac{7715471019}{10000000000}\right), 1\right)} \]

       13. unpow2 N/A

           \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, x \cdot \left(\frac{70002721}{5000000000} \cdot \color{blue}{\left(x \cdot x\right)} + \frac{694555761}{10000000000}\right), \frac{2909738639}{10000000000}\right), \frac{7715471019}{10000000000}\right), 1\right)} \]

       14. associate-*r* N/A

           \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, x \cdot \left(\color{blue}{\left(\frac{70002721}{5000000000} \cdot x\right) \cdot x} + \frac{694555761}{10000000000}\right), \frac{2909738639}{10000000000}\right), \frac{7715471019}{10000000000}\right), 1\right)} \]

       15. *-commutative N/A

           \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, x \cdot \left(\color{blue}{x \cdot \left(\frac{70002721}{5000000000} \cdot x\right)} + \frac{694555761}{10000000000}\right), \frac{2909738639}{10000000000}\right), \frac{7715471019}{10000000000}\right), 1\right)} \]

       16. lower-fma.f64 N/A

           \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, x \cdot \color{blue}{\mathsf{fma}\left(x, \frac{70002721}{5000000000} \cdot x, \frac{694555761}{10000000000}\right)}, \frac{2909738639}{10000000000}\right), \frac{7715471019}{10000000000}\right), 1\right)} \]

       17. *-commutative N/A

           \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, \frac{1789971}{10000000000}, \frac{2532017}{5000000000}\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \frac{36322091}{5000000000}, \frac{106015151}{2500000000}\right), \frac{1049934947}{10000000000}\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, \color{blue}{x \cdot \frac{70002721}{5000000000}}, \frac{694555761}{10000000000}\right), \frac{2909738639}{10000000000}\right), \frac{7715471019}{10000000000}\right), 1\right)} \]

       18. lower-*.f64 71.8

           \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, 0.0001789971, 0.0005064034\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot 0.0072644182, 0.0424060604\right), 0.1049934947\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, \color{blue}{x \cdot 0.0140005442}, 0.0694555761\right), 0.2909738639\right), 0.7715471019\right), 1\right)} \]

   11. Applied rewrites 71.8%

       \[\leadsto \frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \mathsf{fma}\left(x \cdot x, 0.0001789971, 0.0005064034\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot 0.0072644182, 0.0424060604\right), 0.1049934947\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \color{blue}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot 0.0140005442, 0.0694555761\right), 0.2909738639\right), 0.7715471019\right)}, 1\right)} \]

   if 1.82000000000000006 < x

   1. Initial program 12.6%

      \[\frac{\left(\left(\left(\left(1 + 0.1049934947 \cdot \left(x \cdot x\right)\right) + 0.0424060604 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0072644182 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0005064034 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0001789971 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)}{\left(\left(\left(\left(\left(1 + 0.7715471019 \cdot \left(x \cdot x\right)\right) + 0.2909738639 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0694555761 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0140005442 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0008327945 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + \left(2 \cdot 0.0001789971\right) \cdot \left(\left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)} \cdot x \]
   2. Add Preprocessing

   3. Taylor expanded in x around inf

      \[\leadsto \color{blue}{\frac{\frac{1}{2} + \frac{600041}{2386628} \cdot \frac{1}{{x}^{2}}}{x}} \]
   4. Step-by-step derivation

      1. lower-/.f64 N/A

         \[\leadsto \color{blue}{\frac{\frac{1}{2} + \frac{600041}{2386628} \cdot \frac{1}{{x}^{2}}}{x}} \]

      2. lower-+.f64 N/A

         \[\leadsto \frac{\color{blue}{\frac{1}{2} + \frac{600041}{2386628} \cdot \frac{1}{{x}^{2}}}}{x} \]

      3. associate-*r/ N/A

         \[\leadsto \frac{\frac{1}{2} + \color{blue}{\frac{\frac{600041}{2386628} \cdot 1}{{x}^{2}}}}{x} \]

      4. metadata-eval N/A

         \[\leadsto \frac{\frac{1}{2} + \frac{\color{blue}{\frac{600041}{2386628}}}{{x}^{2}}}{x} \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{\frac{1}{2} + \color{blue}{\frac{\frac{600041}{2386628}}{{x}^{2}}}}{x} \]

      6. unpow2 N/A

         \[\leadsto \frac{\frac{1}{2} + \frac{\frac{600041}{2386628}}{\color{blue}{x \cdot x}}}{x} \]

      7. lower-*.f64 100.0

         \[\leadsto \frac{0.5 + \frac{0.2514179000665374}{\color{blue}{x \cdot x}}}{x} \]

   5. Applied rewrites 100.0%

      \[\leadsto \color{blue}{\frac{0.5 + \frac{0.2514179000665374}{x \cdot x}}{x}} \]
3. Recombined 2 regimes into one program.

4. Final simplification 77.8%

   \[\leadsto \begin{array}{l} \mathbf{if}\;x \leq 1.82:\\ \;\;\;\;\frac{x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \mathsf{fma}\left(x \cdot x, 0.0001789971, 0.0005064034\right) \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right), \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot 0.0072644182, 0.0424060604\right), 0.1049934947\right)\right), 1\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot 0.0140005442, 0.0694555761\right), 0.2909738639\right), 0.7715471019\right), 1\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{0.5 + \frac{0.2514179000665374}{x \cdot x}}{x}\\ \end{array} \]
5. Add Preprocessing

Alternative 5: 99.6% accurate, 9.2× speedup

Math

\[\begin{array}{l} x\_m = \left|x\right| \\ x\_s = \mathsf{copysign}\left(1, x\right) \\ x\_s \cdot \begin{array}{l} \mathbf{if}\;x\_m \leq 1.15:\\ \;\;\;\;x\_m \cdot \mathsf{fma}\left(x\_m, x\_m \cdot \mathsf{fma}\left(x\_m, x\_m \cdot \mathsf{fma}\left(x\_m, x\_m \cdot -0.0732490286039007, 0.265709700396151\right), -0.6665536072\right), 1\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{0.5 + \frac{0.2514179000665374}{x\_m \cdot x\_m}}{x\_m}\\ \end{array} \end{array} \]

FPCore

x\_m = (fabs.f64 x)
x\_s = (copysign.f64 #s(literal 1 binary64) x)
(FPCore (x_s x_m)
 :precision binary64
 (*
  x_s
  (if (<= x_m 1.15)
    (*
     x_m
     (fma
      x_m
      (*
       x_m
       (fma
        x_m
        (* x_m (fma x_m (* x_m -0.0732490286039007) 0.265709700396151))
        -0.6665536072))
      1.0))
    (/ (+ 0.5 (/ 0.2514179000665374 (* x_m x_m))) x_m))))

C

x\_m = fabs(x);
x\_s = copysign(1.0, x);
double code(double x_s, double x_m) {
	double tmp;
	if (x_m <= 1.15) {
		tmp = x_m * fma(x_m, (x_m * fma(x_m, (x_m * fma(x_m, (x_m * -0.0732490286039007), 0.265709700396151)), -0.6665536072)), 1.0);
	} else {
		tmp = (0.5 + (0.2514179000665374 / (x_m * x_m))) / x_m;
	}
	return x_s * tmp;
}

Julia

x\_m = abs(x)
x\_s = copysign(1.0, x)
function code(x_s, x_m)
	tmp = 0.0
	if (x_m <= 1.15)
		tmp = Float64(x_m * fma(x_m, Float64(x_m * fma(x_m, Float64(x_m * fma(x_m, Float64(x_m * -0.0732490286039007), 0.265709700396151)), -0.6665536072)), 1.0));
	else
		tmp = Float64(Float64(0.5 + Float64(0.2514179000665374 / Float64(x_m * x_m))) / x_m);
	end
	return Float64(x_s * tmp)
end

Wolfram

x\_m = N[Abs[x], $MachinePrecision]
x\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[x]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[x$95$s_, x$95$m_] := N[(x$95$s * If[LessEqual[x$95$m, 1.15], N[(x$95$m * N[(x$95$m * N[(x$95$m * N[(x$95$m * N[(x$95$m * N[(x$95$m * N[(x$95$m * -0.0732490286039007), $MachinePrecision] + 0.265709700396151), $MachinePrecision]), $MachinePrecision] + -0.6665536072), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision], N[(N[(0.5 + N[(0.2514179000665374 / N[(x$95$m * x$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x$95$m), $MachinePrecision]]), $MachinePrecision]

Derivation

1. Split input into 2 regimes

2. if x < 1.1499999999999999

   1. Initial program 74.6%

      \[\frac{\left(\left(\left(\left(1 + 0.1049934947 \cdot \left(x \cdot x\right)\right) + 0.0424060604 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0072644182 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0005064034 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0001789971 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)}{\left(\left(\left(\left(\left(1 + 0.7715471019 \cdot \left(x \cdot x\right)\right) + 0.2909738639 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0694555761 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0140005442 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0008327945 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + \left(2 \cdot 0.0001789971\right) \cdot \left(\left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)} \cdot x \]
   2. Add Preprocessing

   3. Taylor expanded in x around 0

      \[\leadsto \color{blue}{\left(1 + {x}^{2} \cdot \left({x}^{2} \cdot \left(\frac{3321371254951887171}{12500000000000000000} + \frac{-9156128575487588197208397249}{125000000000000000000000000000} \cdot {x}^{2}\right) - \frac{833192009}{1250000000}\right)\right)} \cdot x \]
   4. Step-by-step derivation

      1. +-commutative N/A

         \[\leadsto \color{blue}{\left({x}^{2} \cdot \left({x}^{2} \cdot \left(\frac{3321371254951887171}{12500000000000000000} + \frac{-9156128575487588197208397249}{125000000000000000000000000000} \cdot {x}^{2}\right) - \frac{833192009}{1250000000}\right) + 1\right)} \cdot x \]

      2. unpow2 N/A

         \[\leadsto \left(\color{blue}{\left(x \cdot x\right)} \cdot \left({x}^{2} \cdot \left(\frac{3321371254951887171}{12500000000000000000} + \frac{-9156128575487588197208397249}{125000000000000000000000000000} \cdot {x}^{2}\right) - \frac{833192009}{1250000000}\right) + 1\right) \cdot x \]

      3. associate-*l* N/A

         \[\leadsto \left(\color{blue}{x \cdot \left(x \cdot \left({x}^{2} \cdot \left(\frac{3321371254951887171}{12500000000000000000} + \frac{-9156128575487588197208397249}{125000000000000000000000000000} \cdot {x}^{2}\right) - \frac{833192009}{1250000000}\right)\right)} + 1\right) \cdot x \]

      4. lower-fma.f64 N/A

         \[\leadsto \color{blue}{\mathsf{fma}\left(x, x \cdot \left({x}^{2} \cdot \left(\frac{3321371254951887171}{12500000000000000000} + \frac{-9156128575487588197208397249}{125000000000000000000000000000} \cdot {x}^{2}\right) - \frac{833192009}{1250000000}\right), 1\right)} \cdot x \]

   5. Applied rewrites 71.8%

      \[\leadsto \color{blue}{\mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot -0.0732490286039007, 0.265709700396151\right), -0.6665536072\right), 1\right)} \cdot x \]

   if 1.1499999999999999 < x

   1. Initial program 12.6%

      \[\frac{\left(\left(\left(\left(1 + 0.1049934947 \cdot \left(x \cdot x\right)\right) + 0.0424060604 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0072644182 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0005064034 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0001789971 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)}{\left(\left(\left(\left(\left(1 + 0.7715471019 \cdot \left(x \cdot x\right)\right) + 0.2909738639 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0694555761 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0140005442 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0008327945 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + \left(2 \cdot 0.0001789971\right) \cdot \left(\left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)} \cdot x \]
   2. Add Preprocessing

   3. Taylor expanded in x around inf

      \[\leadsto \color{blue}{\frac{\frac{1}{2} + \frac{600041}{2386628} \cdot \frac{1}{{x}^{2}}}{x}} \]
   4. Step-by-step derivation

      1. lower-/.f64 N/A

         \[\leadsto \color{blue}{\frac{\frac{1}{2} + \frac{600041}{2386628} \cdot \frac{1}{{x}^{2}}}{x}} \]

      2. lower-+.f64 N/A

         \[\leadsto \frac{\color{blue}{\frac{1}{2} + \frac{600041}{2386628} \cdot \frac{1}{{x}^{2}}}}{x} \]

      3. associate-*r/ N/A

         \[\leadsto \frac{\frac{1}{2} + \color{blue}{\frac{\frac{600041}{2386628} \cdot 1}{{x}^{2}}}}{x} \]

      4. metadata-eval N/A

         \[\leadsto \frac{\frac{1}{2} + \frac{\color{blue}{\frac{600041}{2386628}}}{{x}^{2}}}{x} \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{\frac{1}{2} + \color{blue}{\frac{\frac{600041}{2386628}}{{x}^{2}}}}{x} \]

      6. unpow2 N/A

         \[\leadsto \frac{\frac{1}{2} + \frac{\frac{600041}{2386628}}{\color{blue}{x \cdot x}}}{x} \]

      7. lower-*.f64 100.0

         \[\leadsto \frac{0.5 + \frac{0.2514179000665374}{\color{blue}{x \cdot x}}}{x} \]

   5. Applied rewrites 100.0%

      \[\leadsto \color{blue}{\frac{0.5 + \frac{0.2514179000665374}{x \cdot x}}{x}} \]
3. Recombined 2 regimes into one program.

4. Final simplification 77.8%

   \[\leadsto \begin{array}{l} \mathbf{if}\;x \leq 1.15:\\ \;\;\;\;x \cdot \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot -0.0732490286039007, 0.265709700396151\right), -0.6665536072\right), 1\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{0.5 + \frac{0.2514179000665374}{x \cdot x}}{x}\\ \end{array} \]
5. Add Preprocessing

Alternative 6: 99.5% accurate, 11.2× speedup

Math

\[\begin{array}{l} x\_m = \left|x\right| \\ x\_s = \mathsf{copysign}\left(1, x\right) \\ x\_s \cdot \begin{array}{l} \mathbf{if}\;x\_m \leq 1.1:\\ \;\;\;\;x\_m \cdot \mathsf{fma}\left(x\_m, x\_m \cdot \mathsf{fma}\left(x\_m \cdot x\_m, 0.265709700396151, -0.6665536072\right), 1\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{0.5 + \frac{0.2514179000665374}{x\_m \cdot x\_m}}{x\_m}\\ \end{array} \end{array} \]

FPCore

x\_m = (fabs.f64 x)
x\_s = (copysign.f64 #s(literal 1 binary64) x)
(FPCore (x_s x_m)
 :precision binary64
 (*
  x_s
  (if (<= x_m 1.1)
    (*
     x_m
     (fma x_m (* x_m (fma (* x_m x_m) 0.265709700396151 -0.6665536072)) 1.0))
    (/ (+ 0.5 (/ 0.2514179000665374 (* x_m x_m))) x_m))))

C

x\_m = fabs(x);
x\_s = copysign(1.0, x);
double code(double x_s, double x_m) {
	double tmp;
	if (x_m <= 1.1) {
		tmp = x_m * fma(x_m, (x_m * fma((x_m * x_m), 0.265709700396151, -0.6665536072)), 1.0);
	} else {
		tmp = (0.5 + (0.2514179000665374 / (x_m * x_m))) / x_m;
	}
	return x_s * tmp;
}

Julia

x\_m = abs(x)
x\_s = copysign(1.0, x)
function code(x_s, x_m)
	tmp = 0.0
	if (x_m <= 1.1)
		tmp = Float64(x_m * fma(x_m, Float64(x_m * fma(Float64(x_m * x_m), 0.265709700396151, -0.6665536072)), 1.0));
	else
		tmp = Float64(Float64(0.5 + Float64(0.2514179000665374 / Float64(x_m * x_m))) / x_m);
	end
	return Float64(x_s * tmp)
end

Wolfram

x\_m = N[Abs[x], $MachinePrecision]
x\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[x]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[x$95$s_, x$95$m_] := N[(x$95$s * If[LessEqual[x$95$m, 1.1], N[(x$95$m * N[(x$95$m * N[(x$95$m * N[(N[(x$95$m * x$95$m), $MachinePrecision] * 0.265709700396151 + -0.6665536072), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision], N[(N[(0.5 + N[(0.2514179000665374 / N[(x$95$m * x$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x$95$m), $MachinePrecision]]), $MachinePrecision]

Derivation

1. Split input into 2 regimes

2. if x < 1.1000000000000001

   1. Initial program 74.6%

      \[\frac{\left(\left(\left(\left(1 + 0.1049934947 \cdot \left(x \cdot x\right)\right) + 0.0424060604 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0072644182 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0005064034 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0001789971 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)}{\left(\left(\left(\left(\left(1 + 0.7715471019 \cdot \left(x \cdot x\right)\right) + 0.2909738639 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0694555761 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0140005442 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0008327945 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + \left(2 \cdot 0.0001789971\right) \cdot \left(\left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)} \cdot x \]
   2. Add Preprocessing

   3. Taylor expanded in x around 0

      \[\leadsto \color{blue}{\left(1 + {x}^{2} \cdot \left(\frac{3321371254951887171}{12500000000000000000} \cdot {x}^{2} - \frac{833192009}{1250000000}\right)\right)} \cdot x \]
   4. Step-by-step derivation

      1. +-commutative N/A

         \[\leadsto \color{blue}{\left({x}^{2} \cdot \left(\frac{3321371254951887171}{12500000000000000000} \cdot {x}^{2} - \frac{833192009}{1250000000}\right) + 1\right)} \cdot x \]

      2. unpow2 N/A

         \[\leadsto \left(\color{blue}{\left(x \cdot x\right)} \cdot \left(\frac{3321371254951887171}{12500000000000000000} \cdot {x}^{2} - \frac{833192009}{1250000000}\right) + 1\right) \cdot x \]

      3. associate-*l* N/A

         \[\leadsto \left(\color{blue}{x \cdot \left(x \cdot \left(\frac{3321371254951887171}{12500000000000000000} \cdot {x}^{2} - \frac{833192009}{1250000000}\right)\right)} + 1\right) \cdot x \]

      4. lower-fma.f64 N/A

         \[\leadsto \color{blue}{\mathsf{fma}\left(x, x \cdot \left(\frac{3321371254951887171}{12500000000000000000} \cdot {x}^{2} - \frac{833192009}{1250000000}\right), 1\right)} \cdot x \]

      5. lower-*.f64 N/A

         \[\leadsto \mathsf{fma}\left(x, \color{blue}{x \cdot \left(\frac{3321371254951887171}{12500000000000000000} \cdot {x}^{2} - \frac{833192009}{1250000000}\right)}, 1\right) \cdot x \]

      6. sub-neg N/A

         \[\leadsto \mathsf{fma}\left(x, x \cdot \color{blue}{\left(\frac{3321371254951887171}{12500000000000000000} \cdot {x}^{2} + \left(\mathsf{neg}\left(\frac{833192009}{1250000000}\right)\right)\right)}, 1\right) \cdot x \]

      7. *-commutative N/A

         \[\leadsto \mathsf{fma}\left(x, x \cdot \left(\color{blue}{{x}^{2} \cdot \frac{3321371254951887171}{12500000000000000000}} + \left(\mathsf{neg}\left(\frac{833192009}{1250000000}\right)\right)\right), 1\right) \cdot x \]

      8. metadata-eval N/A

         \[\leadsto \mathsf{fma}\left(x, x \cdot \left({x}^{2} \cdot \frac{3321371254951887171}{12500000000000000000} + \color{blue}{\frac{-833192009}{1250000000}}\right), 1\right) \cdot x \]

      9. lower-fma.f64 N/A

         \[\leadsto \mathsf{fma}\left(x, x \cdot \color{blue}{\mathsf{fma}\left({x}^{2}, \frac{3321371254951887171}{12500000000000000000}, \frac{-833192009}{1250000000}\right)}, 1\right) \cdot x \]

      10. unpow2 N/A

          \[\leadsto \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(\color{blue}{x \cdot x}, \frac{3321371254951887171}{12500000000000000000}, \frac{-833192009}{1250000000}\right), 1\right) \cdot x \]

      11. lower-*.f64 72.1

          \[\leadsto \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(\color{blue}{x \cdot x}, 0.265709700396151, -0.6665536072\right), 1\right) \cdot x \]

   5. Applied rewrites 72.1%

      \[\leadsto \color{blue}{\mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x \cdot x, 0.265709700396151, -0.6665536072\right), 1\right)} \cdot x \]

   if 1.1000000000000001 < x

   1. Initial program 12.6%

      \[\frac{\left(\left(\left(\left(1 + 0.1049934947 \cdot \left(x \cdot x\right)\right) + 0.0424060604 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0072644182 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0005064034 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0001789971 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)}{\left(\left(\left(\left(\left(1 + 0.7715471019 \cdot \left(x \cdot x\right)\right) + 0.2909738639 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0694555761 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0140005442 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0008327945 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + \left(2 \cdot 0.0001789971\right) \cdot \left(\left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)} \cdot x \]
   2. Add Preprocessing

   3. Taylor expanded in x around inf

      \[\leadsto \color{blue}{\frac{\frac{1}{2} + \frac{600041}{2386628} \cdot \frac{1}{{x}^{2}}}{x}} \]
   4. Step-by-step derivation

      1. lower-/.f64 N/A

         \[\leadsto \color{blue}{\frac{\frac{1}{2} + \frac{600041}{2386628} \cdot \frac{1}{{x}^{2}}}{x}} \]

      2. lower-+.f64 N/A

         \[\leadsto \frac{\color{blue}{\frac{1}{2} + \frac{600041}{2386628} \cdot \frac{1}{{x}^{2}}}}{x} \]

      3. associate-*r/ N/A

         \[\leadsto \frac{\frac{1}{2} + \color{blue}{\frac{\frac{600041}{2386628} \cdot 1}{{x}^{2}}}}{x} \]

      4. metadata-eval N/A

         \[\leadsto \frac{\frac{1}{2} + \frac{\color{blue}{\frac{600041}{2386628}}}{{x}^{2}}}{x} \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{\frac{1}{2} + \color{blue}{\frac{\frac{600041}{2386628}}{{x}^{2}}}}{x} \]

      6. unpow2 N/A

         \[\leadsto \frac{\frac{1}{2} + \frac{\frac{600041}{2386628}}{\color{blue}{x \cdot x}}}{x} \]

      7. lower-*.f64 100.0

         \[\leadsto \frac{0.5 + \frac{0.2514179000665374}{\color{blue}{x \cdot x}}}{x} \]

   5. Applied rewrites 100.0%

      \[\leadsto \color{blue}{\frac{0.5 + \frac{0.2514179000665374}{x \cdot x}}{x}} \]
3. Recombined 2 regimes into one program.

4. Final simplification 78.1%

   \[\leadsto \begin{array}{l} \mathbf{if}\;x \leq 1.1:\\ \;\;\;\;x \cdot \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x \cdot x, 0.265709700396151, -0.6665536072\right), 1\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{0.5 + \frac{0.2514179000665374}{x \cdot x}}{x}\\ \end{array} \]
5. Add Preprocessing

Alternative 7: 99.3% accurate, 12.2× speedup

Math

\[\begin{array}{l} x\_m = \left|x\right| \\ x\_s = \mathsf{copysign}\left(1, x\right) \\ x\_s \cdot \begin{array}{l} \mathbf{if}\;x\_m \leq 0.88:\\ \;\;\;\;x\_m \cdot \mathsf{fma}\left(x\_m, x\_m \cdot \mathsf{fma}\left(x\_m \cdot x\_m, 0.265709700396151, -0.6665536072\right), 1\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{0.5}{x\_m}\\ \end{array} \end{array} \]

FPCore

x\_m = (fabs.f64 x)
x\_s = (copysign.f64 #s(literal 1 binary64) x)
(FPCore (x_s x_m)
 :precision binary64
 (*
  x_s
  (if (<= x_m 0.88)
    (*
     x_m
     (fma x_m (* x_m (fma (* x_m x_m) 0.265709700396151 -0.6665536072)) 1.0))
    (/ 0.5 x_m))))

C

x\_m = fabs(x);
x\_s = copysign(1.0, x);
double code(double x_s, double x_m) {
	double tmp;
	if (x_m <= 0.88) {
		tmp = x_m * fma(x_m, (x_m * fma((x_m * x_m), 0.265709700396151, -0.6665536072)), 1.0);
	} else {
		tmp = 0.5 / x_m;
	}
	return x_s * tmp;
}

Julia

x\_m = abs(x)
x\_s = copysign(1.0, x)
function code(x_s, x_m)
	tmp = 0.0
	if (x_m <= 0.88)
		tmp = Float64(x_m * fma(x_m, Float64(x_m * fma(Float64(x_m * x_m), 0.265709700396151, -0.6665536072)), 1.0));
	else
		tmp = Float64(0.5 / x_m);
	end
	return Float64(x_s * tmp)
end

Wolfram

x\_m = N[Abs[x], $MachinePrecision]
x\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[x]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[x$95$s_, x$95$m_] := N[(x$95$s * If[LessEqual[x$95$m, 0.88], N[(x$95$m * N[(x$95$m * N[(x$95$m * N[(N[(x$95$m * x$95$m), $MachinePrecision] * 0.265709700396151 + -0.6665536072), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision], N[(0.5 / x$95$m), $MachinePrecision]]), $MachinePrecision]

Derivation

1. Split input into 2 regimes

2. if x < 0.880000000000000004

   1. Initial program 74.6%

      \[\frac{\left(\left(\left(\left(1 + 0.1049934947 \cdot \left(x \cdot x\right)\right) + 0.0424060604 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0072644182 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0005064034 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0001789971 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)}{\left(\left(\left(\left(\left(1 + 0.7715471019 \cdot \left(x \cdot x\right)\right) + 0.2909738639 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0694555761 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0140005442 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0008327945 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + \left(2 \cdot 0.0001789971\right) \cdot \left(\left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)} \cdot x \]
   2. Add Preprocessing

   3. Taylor expanded in x around 0

      \[\leadsto \color{blue}{\left(1 + {x}^{2} \cdot \left(\frac{3321371254951887171}{12500000000000000000} \cdot {x}^{2} - \frac{833192009}{1250000000}\right)\right)} \cdot x \]
   4. Step-by-step derivation

      1. +-commutative N/A

         \[\leadsto \color{blue}{\left({x}^{2} \cdot \left(\frac{3321371254951887171}{12500000000000000000} \cdot {x}^{2} - \frac{833192009}{1250000000}\right) + 1\right)} \cdot x \]

      2. unpow2 N/A

         \[\leadsto \left(\color{blue}{\left(x \cdot x\right)} \cdot \left(\frac{3321371254951887171}{12500000000000000000} \cdot {x}^{2} - \frac{833192009}{1250000000}\right) + 1\right) \cdot x \]

      3. associate-*l* N/A

         \[\leadsto \left(\color{blue}{x \cdot \left(x \cdot \left(\frac{3321371254951887171}{12500000000000000000} \cdot {x}^{2} - \frac{833192009}{1250000000}\right)\right)} + 1\right) \cdot x \]

      4. lower-fma.f64 N/A

         \[\leadsto \color{blue}{\mathsf{fma}\left(x, x \cdot \left(\frac{3321371254951887171}{12500000000000000000} \cdot {x}^{2} - \frac{833192009}{1250000000}\right), 1\right)} \cdot x \]

      5. lower-*.f64 N/A

         \[\leadsto \mathsf{fma}\left(x, \color{blue}{x \cdot \left(\frac{3321371254951887171}{12500000000000000000} \cdot {x}^{2} - \frac{833192009}{1250000000}\right)}, 1\right) \cdot x \]

      6. sub-neg N/A

         \[\leadsto \mathsf{fma}\left(x, x \cdot \color{blue}{\left(\frac{3321371254951887171}{12500000000000000000} \cdot {x}^{2} + \left(\mathsf{neg}\left(\frac{833192009}{1250000000}\right)\right)\right)}, 1\right) \cdot x \]

      7. *-commutative N/A

         \[\leadsto \mathsf{fma}\left(x, x \cdot \left(\color{blue}{{x}^{2} \cdot \frac{3321371254951887171}{12500000000000000000}} + \left(\mathsf{neg}\left(\frac{833192009}{1250000000}\right)\right)\right), 1\right) \cdot x \]

      8. metadata-eval N/A

         \[\leadsto \mathsf{fma}\left(x, x \cdot \left({x}^{2} \cdot \frac{3321371254951887171}{12500000000000000000} + \color{blue}{\frac{-833192009}{1250000000}}\right), 1\right) \cdot x \]

      9. lower-fma.f64 N/A

         \[\leadsto \mathsf{fma}\left(x, x \cdot \color{blue}{\mathsf{fma}\left({x}^{2}, \frac{3321371254951887171}{12500000000000000000}, \frac{-833192009}{1250000000}\right)}, 1\right) \cdot x \]

      10. unpow2 N/A

          \[\leadsto \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(\color{blue}{x \cdot x}, \frac{3321371254951887171}{12500000000000000000}, \frac{-833192009}{1250000000}\right), 1\right) \cdot x \]

      11. lower-*.f64 72.1

          \[\leadsto \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(\color{blue}{x \cdot x}, 0.265709700396151, -0.6665536072\right), 1\right) \cdot x \]

   5. Applied rewrites 72.1%

      \[\leadsto \color{blue}{\mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x \cdot x, 0.265709700396151, -0.6665536072\right), 1\right)} \cdot x \]

   if 0.880000000000000004 < x

   1. Initial program 12.6%

      \[\frac{\left(\left(\left(\left(1 + 0.1049934947 \cdot \left(x \cdot x\right)\right) + 0.0424060604 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0072644182 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0005064034 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0001789971 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)}{\left(\left(\left(\left(\left(1 + 0.7715471019 \cdot \left(x \cdot x\right)\right) + 0.2909738639 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0694555761 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0140005442 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0008327945 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + \left(2 \cdot 0.0001789971\right) \cdot \left(\left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)} \cdot x \]
   2. Add Preprocessing

   3. Taylor expanded in x around inf

      \[\leadsto \color{blue}{\frac{\frac{1}{2}}{x}} \]
   4. Step-by-step derivation

      1. lower-/.f64 99.3

         \[\leadsto \color{blue}{\frac{0.5}{x}} \]

   5. Applied rewrites 99.3%

      \[\leadsto \color{blue}{\frac{0.5}{x}} \]
3. Recombined 2 regimes into one program.

4. Final simplification 78.0%

   \[\leadsto \begin{array}{l} \mathbf{if}\;x \leq 0.88:\\ \;\;\;\;x \cdot \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x \cdot x, 0.265709700396151, -0.6665536072\right), 1\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{0.5}{x}\\ \end{array} \]
5. Add Preprocessing

Alternative 8: 99.2% accurate, 18.0× speedup

Math

\[\begin{array}{l} x\_m = \left|x\right| \\ x\_s = \mathsf{copysign}\left(1, x\right) \\ x\_s \cdot \begin{array}{l} \mathbf{if}\;x\_m \leq 0.78:\\ \;\;\;\;\mathsf{fma}\left(x\_m, \left(x\_m \cdot x\_m\right) \cdot -0.6665536072, x\_m\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{0.5}{x\_m}\\ \end{array} \end{array} \]

FPCore

x\_m = (fabs.f64 x)
x\_s = (copysign.f64 #s(literal 1 binary64) x)
(FPCore (x_s x_m)
 :precision binary64
 (*
  x_s
  (if (<= x_m 0.78) (fma x_m (* (* x_m x_m) -0.6665536072) x_m) (/ 0.5 x_m))))

C

x\_m = fabs(x);
x\_s = copysign(1.0, x);
double code(double x_s, double x_m) {
	double tmp;
	if (x_m <= 0.78) {
		tmp = fma(x_m, ((x_m * x_m) * -0.6665536072), x_m);
	} else {
		tmp = 0.5 / x_m;
	}
	return x_s * tmp;
}

Julia

x\_m = abs(x)
x\_s = copysign(1.0, x)
function code(x_s, x_m)
	tmp = 0.0
	if (x_m <= 0.78)
		tmp = fma(x_m, Float64(Float64(x_m * x_m) * -0.6665536072), x_m);
	else
		tmp = Float64(0.5 / x_m);
	end
	return Float64(x_s * tmp)
end

Wolfram

x\_m = N[Abs[x], $MachinePrecision]
x\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[x]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[x$95$s_, x$95$m_] := N[(x$95$s * If[LessEqual[x$95$m, 0.78], N[(x$95$m * N[(N[(x$95$m * x$95$m), $MachinePrecision] * -0.6665536072), $MachinePrecision] + x$95$m), $MachinePrecision], N[(0.5 / x$95$m), $MachinePrecision]]), $MachinePrecision]

Derivation

1. Split input into 2 regimes

2. if x < 0.78000000000000003

   1. Initial program 74.6%

      \[\frac{\left(\left(\left(\left(1 + 0.1049934947 \cdot \left(x \cdot x\right)\right) + 0.0424060604 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0072644182 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0005064034 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0001789971 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)}{\left(\left(\left(\left(\left(1 + 0.7715471019 \cdot \left(x \cdot x\right)\right) + 0.2909738639 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0694555761 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0140005442 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0008327945 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + \left(2 \cdot 0.0001789971\right) \cdot \left(\left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)} \cdot x \]
   2. Add Preprocessing

   3. Taylor expanded in x around 0

      \[\leadsto \color{blue}{x \cdot \left(1 + \frac{-833192009}{1250000000} \cdot {x}^{2}\right)} \]
   4. Step-by-step derivation

      1. +-commutative N/A

         \[\leadsto x \cdot \color{blue}{\left(\frac{-833192009}{1250000000} \cdot {x}^{2} + 1\right)} \]

      2. distribute-lft-in N/A

         \[\leadsto \color{blue}{x \cdot \left(\frac{-833192009}{1250000000} \cdot {x}^{2}\right) + x \cdot 1} \]

      3. *-rgt-identity N/A

         \[\leadsto x \cdot \left(\frac{-833192009}{1250000000} \cdot {x}^{2}\right) + \color{blue}{x} \]

      4. lower-fma.f64 N/A

         \[\leadsto \color{blue}{\mathsf{fma}\left(x, \frac{-833192009}{1250000000} \cdot {x}^{2}, x\right)} \]

      5. *-commutative N/A

         \[\leadsto \mathsf{fma}\left(x, \color{blue}{{x}^{2} \cdot \frac{-833192009}{1250000000}}, x\right) \]

      6. lower-*.f64 N/A

         \[\leadsto \mathsf{fma}\left(x, \color{blue}{{x}^{2} \cdot \frac{-833192009}{1250000000}}, x\right) \]

      7. unpow2 N/A

         \[\leadsto \mathsf{fma}\left(x, \color{blue}{\left(x \cdot x\right)} \cdot \frac{-833192009}{1250000000}, x\right) \]

      8. lower-*.f64 71.5

         \[\leadsto \mathsf{fma}\left(x, \color{blue}{\left(x \cdot x\right)} \cdot -0.6665536072, x\right) \]

   5. Applied rewrites 71.5%

      \[\leadsto \color{blue}{\mathsf{fma}\left(x, \left(x \cdot x\right) \cdot -0.6665536072, x\right)} \]

   if 0.78000000000000003 < x

   1. Initial program 12.6%

      \[\frac{\left(\left(\left(\left(1 + 0.1049934947 \cdot \left(x \cdot x\right)\right) + 0.0424060604 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0072644182 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0005064034 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0001789971 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)}{\left(\left(\left(\left(\left(1 + 0.7715471019 \cdot \left(x \cdot x\right)\right) + 0.2909738639 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0694555761 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0140005442 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0008327945 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + \left(2 \cdot 0.0001789971\right) \cdot \left(\left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)} \cdot x \]
   2. Add Preprocessing

   3. Taylor expanded in x around inf

      \[\leadsto \color{blue}{\frac{\frac{1}{2}}{x}} \]
   4. Step-by-step derivation

      1. lower-/.f64 99.3

         \[\leadsto \color{blue}{\frac{0.5}{x}} \]

   5. Applied rewrites 99.3%

      \[\leadsto \color{blue}{\frac{0.5}{x}} \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 9: 98.8% accurate, 23.0× speedup

Math

\[\begin{array}{l} x\_m = \left|x\right| \\ x\_s = \mathsf{copysign}\left(1, x\right) \\ x\_s \cdot \begin{array}{l} \mathbf{if}\;x\_m \leq 0.7:\\ \;\;\;\;x\_m \cdot 1\\ \mathbf{else}:\\ \;\;\;\;\frac{0.5}{x\_m}\\ \end{array} \end{array} \]

FPCore

x\_m = (fabs.f64 x)
x\_s = (copysign.f64 #s(literal 1 binary64) x)
(FPCore (x_s x_m)
 :precision binary64
 (* x_s (if (<= x_m 0.7) (* x_m 1.0) (/ 0.5 x_m))))

C

x\_m = fabs(x);
x\_s = copysign(1.0, x);
double code(double x_s, double x_m) {
	double tmp;
	if (x_m <= 0.7) {
		tmp = x_m * 1.0;
	} else {
		tmp = 0.5 / x_m;
	}
	return x_s * tmp;
}

Fortran

x\_m = abs(x)
x\_s = copysign(1.0d0, x)
real(8) function code(x_s, x_m)
    real(8), intent (in) :: x_s
    real(8), intent (in) :: x_m
    real(8) :: tmp
    if (x_m <= 0.7d0) then
        tmp = x_m * 1.0d0
    else
        tmp = 0.5d0 / x_m
    end if
    code = x_s * tmp
end function

Java

x\_m = Math.abs(x);
x\_s = Math.copySign(1.0, x);
public static double code(double x_s, double x_m) {
	double tmp;
	if (x_m <= 0.7) {
		tmp = x_m * 1.0;
	} else {
		tmp = 0.5 / x_m;
	}
	return x_s * tmp;
}

Python

x\_m = math.fabs(x)
x\_s = math.copysign(1.0, x)
def code(x_s, x_m):
	tmp = 0
	if x_m <= 0.7:
		tmp = x_m * 1.0
	else:
		tmp = 0.5 / x_m
	return x_s * tmp

Julia

x\_m = abs(x)
x\_s = copysign(1.0, x)
function code(x_s, x_m)
	tmp = 0.0
	if (x_m <= 0.7)
		tmp = Float64(x_m * 1.0);
	else
		tmp = Float64(0.5 / x_m);
	end
	return Float64(x_s * tmp)
end

MATLAB

x\_m = abs(x);
x\_s = sign(x) * abs(1.0);
function tmp_2 = code(x_s, x_m)
	tmp = 0.0;
	if (x_m <= 0.7)
		tmp = x_m * 1.0;
	else
		tmp = 0.5 / x_m;
	end
	tmp_2 = x_s * tmp;
end

Wolfram

x\_m = N[Abs[x], $MachinePrecision]
x\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[x]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[x$95$s_, x$95$m_] := N[(x$95$s * If[LessEqual[x$95$m, 0.7], N[(x$95$m * 1.0), $MachinePrecision], N[(0.5 / x$95$m), $MachinePrecision]]), $MachinePrecision]

Derivation

1. Split input into 2 regimes

2. if x < 0.69999999999999996

   1. Initial program 74.6%

      \[\frac{\left(\left(\left(\left(1 + 0.1049934947 \cdot \left(x \cdot x\right)\right) + 0.0424060604 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0072644182 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0005064034 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0001789971 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)}{\left(\left(\left(\left(\left(1 + 0.7715471019 \cdot \left(x \cdot x\right)\right) + 0.2909738639 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0694555761 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0140005442 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0008327945 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + \left(2 \cdot 0.0001789971\right) \cdot \left(\left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)} \cdot x \]
   2. Add Preprocessing

   3. Taylor expanded in x around 0

      \[\leadsto \color{blue}{1} \cdot x \]
   4. Step-by-step derivation

   5. Applied rewrites 71.8%

      \[\leadsto \color{blue}{1} \cdot x \]

   if 0.69999999999999996 < x

   1. Initial program 12.6%

      \[\frac{\left(\left(\left(\left(1 + 0.1049934947 \cdot \left(x \cdot x\right)\right) + 0.0424060604 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0072644182 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0005064034 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0001789971 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)}{\left(\left(\left(\left(\left(1 + 0.7715471019 \cdot \left(x \cdot x\right)\right) + 0.2909738639 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0694555761 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0140005442 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0008327945 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + \left(2 \cdot 0.0001789971\right) \cdot \left(\left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)} \cdot x \]
   2. Add Preprocessing

   3. Taylor expanded in x around inf

      \[\leadsto \color{blue}{\frac{\frac{1}{2}}{x}} \]
   4. Step-by-step derivation

      1. lower-/.f64 99.3

         \[\leadsto \color{blue}{\frac{0.5}{x}} \]

   5. Applied rewrites 99.3%

      \[\leadsto \color{blue}{\frac{0.5}{x}} \]
3. Recombined 2 regimes into one program.

4. Final simplification 77.7%

   \[\leadsto \begin{array}{l} \mathbf{if}\;x \leq 0.7:\\ \;\;\;\;x \cdot 1\\ \mathbf{else}:\\ \;\;\;\;\frac{0.5}{x}\\ \end{array} \]
5. Add Preprocessing

Alternative 10: 51.1% accurate, 69.2× speedup

Math

\[\begin{array}{l} x\_m = \left|x\right| \\ x\_s = \mathsf{copysign}\left(1, x\right) \\ x\_s \cdot \left(x\_m \cdot 1\right) \end{array} \]

FPCore

x\_m = (fabs.f64 x)
x\_s = (copysign.f64 #s(literal 1 binary64) x)
(FPCore (x_s x_m) :precision binary64 (* x_s (* x_m 1.0)))

C

x\_m = fabs(x);
x\_s = copysign(1.0, x);
double code(double x_s, double x_m) {
	return x_s * (x_m * 1.0);
}

Fortran

x\_m = abs(x)
x\_s = copysign(1.0d0, x)
real(8) function code(x_s, x_m)
    real(8), intent (in) :: x_s
    real(8), intent (in) :: x_m
    code = x_s * (x_m * 1.0d0)
end function

Java

x\_m = Math.abs(x);
x\_s = Math.copySign(1.0, x);
public static double code(double x_s, double x_m) {
	return x_s * (x_m * 1.0);
}

Python

x\_m = math.fabs(x)
x\_s = math.copysign(1.0, x)
def code(x_s, x_m):
	return x_s * (x_m * 1.0)

Julia

x\_m = abs(x)
x\_s = copysign(1.0, x)
function code(x_s, x_m)
	return Float64(x_s * Float64(x_m * 1.0))
end

MATLAB

x\_m = abs(x);
x\_s = sign(x) * abs(1.0);
function tmp = code(x_s, x_m)
	tmp = x_s * (x_m * 1.0);
end

Wolfram

x\_m = N[Abs[x], $MachinePrecision]
x\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[x]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[x$95$s_, x$95$m_] := N[(x$95$s * N[(x$95$m * 1.0), $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 61.3%

   \[\frac{\left(\left(\left(\left(1 + 0.1049934947 \cdot \left(x \cdot x\right)\right) + 0.0424060604 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0072644182 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0005064034 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0001789971 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)}{\left(\left(\left(\left(\left(1 + 0.7715471019 \cdot \left(x \cdot x\right)\right) + 0.2909738639 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0694555761 \cdot \left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0140005442 \cdot \left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + 0.0008327945 \cdot \left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)\right) + \left(2 \cdot 0.0001789971\right) \cdot \left(\left(\left(\left(\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right) \cdot \left(x \cdot x\right)\right)} \cdot x \]
2. Add Preprocessing

3. Taylor expanded in x around 0

   \[\leadsto \color{blue}{1} \cdot x \]
4. Step-by-step derivation

5. Applied rewrites 57.2%

   \[\leadsto \color{blue}{1} \cdot x \]

6. Final simplification 57.2%

   \[\leadsto x \cdot 1 \]
7. Add Preprocessing

Reproduce

herbie shell --seed 2024219 
(FPCore (x)
  :name "Jmat.Real.dawson"
  :precision binary64
  (* (/ (+ (+ (+ (+ (+ 1.0 (* 0.1049934947 (* x x))) (* 0.0424060604 (* (* x x) (* x x)))) (* 0.0072644182 (* (* (* x x) (* x x)) (* x x)))) (* 0.0005064034 (* (* (* (* x x) (* x x)) (* x x)) (* x x)))) (* 0.0001789971 (* (* (* (* (* x x) (* x x)) (* x x)) (* x x)) (* x x)))) (+ (+ (+ (+ (+ (+ 1.0 (* 0.7715471019 (* x x))) (* 0.2909738639 (* (* x x) (* x x)))) (* 0.0694555761 (* (* (* x x) (* x x)) (* x x)))) (* 0.0140005442 (* (* (* (* x x) (* x x)) (* x x)) (* x x)))) (* 0.0008327945 (* (* (* (* (* x x) (* x x)) (* x x)) (* x x)) (* x x)))) (* (* 2.0 0.0001789971) (* (* (* (* (* (* x x) (* x x)) (* x x)) (* x x)) (* x x)) (* x x))))) x))