Hyperbolic arcsine

Percentage Accurate: 18.2% → 99.6%

Time: 11.0s

Alternatives: 13

Speedup: 10.2×

Specification

Math

\[\begin{array}{l} \\ \log \left(x + \sqrt{x \cdot x + 1}\right) \end{array} \]

FPCore

(FPCore (x) :precision binary64 (log (+ x (sqrt (+ (* x x) 1.0)))))

C

double code(double x) {
	return log((x + sqrt(((x * x) + 1.0))));
}

Fortran

real(8) function code(x)
    real(8), intent (in) :: x
    code = log((x + sqrt(((x * x) + 1.0d0))))
end function

Java

public static double code(double x) {
	return Math.log((x + Math.sqrt(((x * x) + 1.0))));
}

Python

def code(x):
	return math.log((x + math.sqrt(((x * x) + 1.0))))

Julia

function code(x)
	return log(Float64(x + sqrt(Float64(Float64(x * x) + 1.0))))
end

MATLAB

function tmp = code(x)
	tmp = log((x + sqrt(((x * x) + 1.0))));
end

Wolfram

code[x_] := N[Log[N[(x + N[Sqrt[N[(N[(x * x), $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]

Initial Program: 18.2% accurate, 1.0× speedup

Math

\[\begin{array}{l} \\ \log \left(x + \sqrt{x \cdot x + 1}\right) \end{array} \]

FPCore

(FPCore (x) :precision binary64 (log (+ x (sqrt (+ (* x x) 1.0)))))

C

double code(double x) {
	return log((x + sqrt(((x * x) + 1.0))));
}

Fortran

real(8) function code(x)
    real(8), intent (in) :: x
    code = log((x + sqrt(((x * x) + 1.0d0))))
end function

Java

public static double code(double x) {
	return Math.log((x + Math.sqrt(((x * x) + 1.0))));
}

Python

def code(x):
	return math.log((x + math.sqrt(((x * x) + 1.0))))

Julia

function code(x)
	return log(Float64(x + sqrt(Float64(Float64(x * x) + 1.0))))
end

MATLAB

function tmp = code(x)
	tmp = log((x + sqrt(((x * x) + 1.0))));
end

Wolfram

code[x_] := N[Log[N[(x + N[Sqrt[N[(N[(x * x), $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]

Alternative 1: 99.6% accurate, 0.9× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;x \leq -1.15:\\ \;\;\;\;\log \left(\frac{-0.5 + \frac{0.125}{x \cdot x}}{x}\right)\\ \mathbf{elif}\;x \leq 1.05:\\ \;\;\;\;\mathsf{fma}\left(x \cdot \left(x \cdot \mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right)\right), x, x\right)\\ \mathbf{else}:\\ \;\;\;\;\log \left(\mathsf{fma}\left(x, 2, \frac{0.5}{x}\right)\right)\\ \end{array} \end{array} \]

FPCore

(FPCore (x)
 :precision binary64
 (if (<= x -1.15)
   (log (/ (+ -0.5 (/ 0.125 (* x x))) x))
   (if (<= x 1.05)
     (fma (* x (* x (fma x (* x 0.075) -0.16666666666666666))) x x)
     (log (fma x 2.0 (/ 0.5 x))))))

C

double code(double x) {
	double tmp;
	if (x <= -1.15) {
		tmp = log(((-0.5 + (0.125 / (x * x))) / x));
	} else if (x <= 1.05) {
		tmp = fma((x * (x * fma(x, (x * 0.075), -0.16666666666666666))), x, x);
	} else {
		tmp = log(fma(x, 2.0, (0.5 / x)));
	}
	return tmp;
}

Julia

function code(x)
	tmp = 0.0
	if (x <= -1.15)
		tmp = log(Float64(Float64(-0.5 + Float64(0.125 / Float64(x * x))) / x));
	elseif (x <= 1.05)
		tmp = fma(Float64(x * Float64(x * fma(x, Float64(x * 0.075), -0.16666666666666666))), x, x);
	else
		tmp = log(fma(x, 2.0, Float64(0.5 / x)));
	end
	return tmp
end

Wolfram

code[x_] := If[LessEqual[x, -1.15], N[Log[N[(N[(-0.5 + N[(0.125 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]], $MachinePrecision], If[LessEqual[x, 1.05], N[(N[(x * N[(x * N[(x * N[(x * 0.075), $MachinePrecision] + -0.16666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * x + x), $MachinePrecision], N[Log[N[(x * 2.0 + N[(0.5 / x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]]

Derivation

1. Split input into 3 regimes

2. if x < -1.1499999999999999

   1. Initial program 6.0%

      \[\log \left(x + \sqrt{x \cdot x + 1}\right) \]
   2. Add Preprocessing

   3. Taylor expanded in x around -inf

      \[\leadsto \log \color{blue}{\left(-1 \cdot \frac{\frac{1}{2} - \frac{1}{8} \cdot \frac{1}{{x}^{2}}}{x}\right)} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \log \color{blue}{\left(\frac{-1 \cdot \left(\frac{1}{2} - \frac{1}{8} \cdot \frac{1}{{x}^{2}}\right)}{x}\right)} \]

      2. mul-1-neg N/A

         \[\leadsto \log \left(\frac{\color{blue}{\mathsf{neg}\left(\left(\frac{1}{2} - \frac{1}{8} \cdot \frac{1}{{x}^{2}}\right)\right)}}{x}\right) \]

      3. neg-sub0 N/A

         \[\leadsto \log \left(\frac{\color{blue}{0 - \left(\frac{1}{2} - \frac{1}{8} \cdot \frac{1}{{x}^{2}}\right)}}{x}\right) \]

      4. associate--r- N/A

         \[\leadsto \log \left(\frac{\color{blue}{\left(0 - \frac{1}{2}\right) + \frac{1}{8} \cdot \frac{1}{{x}^{2}}}}{x}\right) \]

      5. metadata-eval N/A

         \[\leadsto \log \left(\frac{\color{blue}{\frac{-1}{2}} + \frac{1}{8} \cdot \frac{1}{{x}^{2}}}{x}\right) \]

      6. +-commutative N/A

         \[\leadsto \log \left(\frac{\color{blue}{\frac{1}{8} \cdot \frac{1}{{x}^{2}} + \frac{-1}{2}}}{x}\right) \]

      7. metadata-eval N/A

         \[\leadsto \log \left(\frac{\frac{1}{8} \cdot \frac{1}{{x}^{2}} + \color{blue}{\left(\mathsf{neg}\left(\frac{1}{2}\right)\right)}}{x}\right) \]

      8. sub-neg N/A

         \[\leadsto \log \left(\frac{\color{blue}{\frac{1}{8} \cdot \frac{1}{{x}^{2}} - \frac{1}{2}}}{x}\right) \]

      9. lower-/.f64 N/A

         \[\leadsto \log \color{blue}{\left(\frac{\frac{1}{8} \cdot \frac{1}{{x}^{2}} - \frac{1}{2}}{x}\right)} \]

      10. sub-neg N/A

          \[\leadsto \log \left(\frac{\color{blue}{\frac{1}{8} \cdot \frac{1}{{x}^{2}} + \left(\mathsf{neg}\left(\frac{1}{2}\right)\right)}}{x}\right) \]

      11. metadata-eval N/A

          \[\leadsto \log \left(\frac{\frac{1}{8} \cdot \frac{1}{{x}^{2}} + \color{blue}{\frac{-1}{2}}}{x}\right) \]

      12. +-commutative N/A

          \[\leadsto \log \left(\frac{\color{blue}{\frac{-1}{2} + \frac{1}{8} \cdot \frac{1}{{x}^{2}}}}{x}\right) \]

      13. lower-+.f64 N/A

          \[\leadsto \log \left(\frac{\color{blue}{\frac{-1}{2} + \frac{1}{8} \cdot \frac{1}{{x}^{2}}}}{x}\right) \]

      14. associate-*r/ N/A

          \[\leadsto \log \left(\frac{\frac{-1}{2} + \color{blue}{\frac{\frac{1}{8} \cdot 1}{{x}^{2}}}}{x}\right) \]

      15. metadata-eval N/A

          \[\leadsto \log \left(\frac{\frac{-1}{2} + \frac{\color{blue}{\frac{1}{8}}}{{x}^{2}}}{x}\right) \]

      16. lower-/.f64 N/A

          \[\leadsto \log \left(\frac{\frac{-1}{2} + \color{blue}{\frac{\frac{1}{8}}{{x}^{2}}}}{x}\right) \]

      17. unpow2 N/A

          \[\leadsto \log \left(\frac{\frac{-1}{2} + \frac{\frac{1}{8}}{\color{blue}{x \cdot x}}}{x}\right) \]

      18. lower-*.f64 99.5

          \[\leadsto \log \left(\frac{-0.5 + \frac{0.125}{\color{blue}{x \cdot x}}}{x}\right) \]

   5. Applied rewrites 99.5%

      \[\leadsto \log \color{blue}{\left(\frac{-0.5 + \frac{0.125}{x \cdot x}}{x}\right)} \]

   if -1.1499999999999999 < x < 1.05000000000000004

   1. Initial program 8.2%

      \[\log \left(x + \sqrt{x \cdot x + 1}\right) \]
   2. Add Preprocessing

   3. Taylor expanded in x around 0

      \[\leadsto \color{blue}{x \cdot \left(1 + {x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right)} \]
   4. Step-by-step derivation

      1. *-commutative N/A

         \[\leadsto \color{blue}{\left(1 + {x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right) \cdot x} \]

      2. +-commutative N/A

         \[\leadsto \color{blue}{\left({x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right) + 1\right)} \cdot x \]

      3. distribute-lft1-in N/A

         \[\leadsto \color{blue}{\left({x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right) \cdot x + x} \]

      4. *-commutative N/A

         \[\leadsto \color{blue}{x \cdot \left({x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right)} + x \]

      5. associate-*r* N/A

         \[\leadsto \color{blue}{\left(x \cdot {x}^{2}\right) \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)} + x \]

      6. *-commutative N/A

         \[\leadsto \color{blue}{\left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right) \cdot \left(x \cdot {x}^{2}\right)} + x \]

      7. lower-fma.f64 N/A

         \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}, x \cdot {x}^{2}, x\right)} \]

      8. sub-neg N/A

         \[\leadsto \mathsf{fma}\left(\color{blue}{\frac{3}{40} \cdot {x}^{2} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right)}, x \cdot {x}^{2}, x\right) \]

      9. unpow2 N/A

         \[\leadsto \mathsf{fma}\left(\frac{3}{40} \cdot \color{blue}{\left(x \cdot x\right)} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right), x \cdot {x}^{2}, x\right) \]

      10. associate-*r* N/A

          \[\leadsto \mathsf{fma}\left(\color{blue}{\left(\frac{3}{40} \cdot x\right) \cdot x} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right), x \cdot {x}^{2}, x\right) \]

      11. *-commutative N/A

          \[\leadsto \mathsf{fma}\left(\color{blue}{x \cdot \left(\frac{3}{40} \cdot x\right)} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right), x \cdot {x}^{2}, x\right) \]

      12. metadata-eval N/A

          \[\leadsto \mathsf{fma}\left(x \cdot \left(\frac{3}{40} \cdot x\right) + \color{blue}{\frac{-1}{6}}, x \cdot {x}^{2}, x\right) \]

      13. lower-fma.f64 N/A

          \[\leadsto \mathsf{fma}\left(\color{blue}{\mathsf{fma}\left(x, \frac{3}{40} \cdot x, \frac{-1}{6}\right)}, x \cdot {x}^{2}, x\right) \]

      14. *-commutative N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, \color{blue}{x \cdot \frac{3}{40}}, \frac{-1}{6}\right), x \cdot {x}^{2}, x\right) \]

      15. lower-*.f64 N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, \color{blue}{x \cdot \frac{3}{40}}, \frac{-1}{6}\right), x \cdot {x}^{2}, x\right) \]

      16. lower-*.f64 N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right), \color{blue}{x \cdot {x}^{2}}, x\right) \]

      17. unpow2 N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right), x \cdot \color{blue}{\left(x \cdot x\right)}, x\right) \]

      18. lower-*.f64 100.0

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right), x \cdot \color{blue}{\left(x \cdot x\right)}, x\right) \]

   5. Applied rewrites 100.0%

      \[\leadsto \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right), x \cdot \left(x \cdot x\right), x\right)} \]
   6. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto \left(x \cdot \color{blue}{\left(x \cdot \frac{3}{40}\right)} + \frac{-1}{6}\right) \cdot \left(x \cdot \left(x \cdot x\right)\right) + x \]

      2. lift-fma.f64 N/A

         \[\leadsto \color{blue}{\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right)} \cdot \left(x \cdot \left(x \cdot x\right)\right) + x \]

      3. lift-*.f64 N/A

         \[\leadsto \mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot \left(x \cdot \color{blue}{\left(x \cdot x\right)}\right) + x \]

      4. lift-*.f64 N/A

         \[\leadsto \mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot \color{blue}{\left(x \cdot \left(x \cdot x\right)\right)} + x \]

      5. lift-*.f64 N/A

         \[\leadsto \mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot \color{blue}{\left(x \cdot \left(x \cdot x\right)\right)} + x \]

      6. associate-*r* N/A

         \[\leadsto \color{blue}{\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot x\right) \cdot \left(x \cdot x\right)} + x \]

      7. lift-*.f64 N/A

         \[\leadsto \left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot x\right) \cdot \color{blue}{\left(x \cdot x\right)} + x \]

      8. associate-*r* N/A

         \[\leadsto \color{blue}{\left(\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot x\right) \cdot x\right) \cdot x} + x \]

      9. lower-fma.f64 N/A

         \[\leadsto \color{blue}{\mathsf{fma}\left(\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot x\right) \cdot x, x, x\right)} \]

      10. lower-*.f64 N/A

          \[\leadsto \mathsf{fma}\left(\color{blue}{\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot x\right) \cdot x}, x, x\right) \]

      11. *-commutative N/A

          \[\leadsto \mathsf{fma}\left(\color{blue}{\left(x \cdot \mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right)\right)} \cdot x, x, x\right) \]

      12. lower-*.f64 100.0

          \[\leadsto \mathsf{fma}\left(\color{blue}{\left(x \cdot \mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right)\right)} \cdot x, x, x\right) \]

   7. Applied rewrites 100.0%

      \[\leadsto \color{blue}{\mathsf{fma}\left(\left(x \cdot \mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right)\right) \cdot x, x, x\right)} \]

   if 1.05000000000000004 < x

   1. Initial program 46.6%

      \[\log \left(x + \sqrt{x \cdot x + 1}\right) \]
   2. Add Preprocessing

   3. Taylor expanded in x around inf

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

      1. distribute-rgt-in N/A

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

      2. *-commutative N/A

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

      3. lower-fma.f64 N/A

         \[\leadsto \log \color{blue}{\left(\mathsf{fma}\left(x, 2, \left(\frac{1}{2} \cdot \frac{1}{{x}^{2}}\right) \cdot x\right)\right)} \]

      4. associate-*r/ N/A

         \[\leadsto \log \left(\mathsf{fma}\left(x, 2, \color{blue}{\frac{\frac{1}{2} \cdot 1}{{x}^{2}}} \cdot x\right)\right) \]

      5. metadata-eval N/A

         \[\leadsto \log \left(\mathsf{fma}\left(x, 2, \frac{\color{blue}{\frac{1}{2}}}{{x}^{2}} \cdot x\right)\right) \]

      6. associate-*l/ N/A

         \[\leadsto \log \left(\mathsf{fma}\left(x, 2, \color{blue}{\frac{\frac{1}{2} \cdot x}{{x}^{2}}}\right)\right) \]

      7. unpow2 N/A

         \[\leadsto \log \left(\mathsf{fma}\left(x, 2, \frac{\frac{1}{2} \cdot x}{\color{blue}{x \cdot x}}\right)\right) \]

      8. associate-/r* N/A

         \[\leadsto \log \left(\mathsf{fma}\left(x, 2, \color{blue}{\frac{\frac{\frac{1}{2} \cdot x}{x}}{x}}\right)\right) \]

      9. associate-/l* N/A

         \[\leadsto \log \left(\mathsf{fma}\left(x, 2, \frac{\color{blue}{\frac{1}{2} \cdot \frac{x}{x}}}{x}\right)\right) \]

      10. *-inverses N/A

          \[\leadsto \log \left(\mathsf{fma}\left(x, 2, \frac{\frac{1}{2} \cdot \color{blue}{1}}{x}\right)\right) \]

      11. metadata-eval N/A

          \[\leadsto \log \left(\mathsf{fma}\left(x, 2, \frac{\color{blue}{\frac{1}{2}}}{x}\right)\right) \]

      12. lower-/.f64 98.9

          \[\leadsto \log \left(\mathsf{fma}\left(x, 2, \color{blue}{\frac{0.5}{x}}\right)\right) \]

   5. Applied rewrites 98.9%

      \[\leadsto \log \color{blue}{\left(\mathsf{fma}\left(x, 2, \frac{0.5}{x}\right)\right)} \]
3. Recombined 3 regimes into one program.

4. Final simplification 99.6%

   \[\leadsto \begin{array}{l} \mathbf{if}\;x \leq -1.15:\\ \;\;\;\;\log \left(\frac{-0.5 + \frac{0.125}{x \cdot x}}{x}\right)\\ \mathbf{elif}\;x \leq 1.05:\\ \;\;\;\;\mathsf{fma}\left(x \cdot \left(x \cdot \mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right)\right), x, x\right)\\ \mathbf{else}:\\ \;\;\;\;\log \left(\mathsf{fma}\left(x, 2, \frac{0.5}{x}\right)\right)\\ \end{array} \]
5. Add Preprocessing

Alternative 2: 99.5% accurate, 0.9× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;x \leq -1.32:\\ \;\;\;\;\log \left(\frac{-0.5}{x}\right)\\ \mathbf{elif}\;x \leq 1.05:\\ \;\;\;\;\mathsf{fma}\left(x \cdot \left(x \cdot \mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right)\right), x, x\right)\\ \mathbf{else}:\\ \;\;\;\;\log \left(\mathsf{fma}\left(x, 2, \frac{0.5}{x}\right)\right)\\ \end{array} \end{array} \]

FPCore

(FPCore (x)
 :precision binary64
 (if (<= x -1.32)
   (log (/ -0.5 x))
   (if (<= x 1.05)
     (fma (* x (* x (fma x (* x 0.075) -0.16666666666666666))) x x)
     (log (fma x 2.0 (/ 0.5 x))))))

C

double code(double x) {
	double tmp;
	if (x <= -1.32) {
		tmp = log((-0.5 / x));
	} else if (x <= 1.05) {
		tmp = fma((x * (x * fma(x, (x * 0.075), -0.16666666666666666))), x, x);
	} else {
		tmp = log(fma(x, 2.0, (0.5 / x)));
	}
	return tmp;
}

Julia

function code(x)
	tmp = 0.0
	if (x <= -1.32)
		tmp = log(Float64(-0.5 / x));
	elseif (x <= 1.05)
		tmp = fma(Float64(x * Float64(x * fma(x, Float64(x * 0.075), -0.16666666666666666))), x, x);
	else
		tmp = log(fma(x, 2.0, Float64(0.5 / x)));
	end
	return tmp
end

Wolfram

code[x_] := If[LessEqual[x, -1.32], N[Log[N[(-0.5 / x), $MachinePrecision]], $MachinePrecision], If[LessEqual[x, 1.05], N[(N[(x * N[(x * N[(x * N[(x * 0.075), $MachinePrecision] + -0.16666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * x + x), $MachinePrecision], N[Log[N[(x * 2.0 + N[(0.5 / x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]]

Derivation

1. Split input into 3 regimes

2. if x < -1.32000000000000006

   1. Initial program 6.0%

      \[\log \left(x + \sqrt{x \cdot x + 1}\right) \]
   2. Add Preprocessing

   3. Taylor expanded in x around -inf

      \[\leadsto \log \color{blue}{\left(\frac{\frac{-1}{2}}{x}\right)} \]
   4. Step-by-step derivation

      1. lower-/.f64 98.0

         \[\leadsto \log \color{blue}{\left(\frac{-0.5}{x}\right)} \]

   5. Applied rewrites 98.0%

      \[\leadsto \log \color{blue}{\left(\frac{-0.5}{x}\right)} \]

   if -1.32000000000000006 < x < 1.05000000000000004

   1. Initial program 8.2%

      \[\log \left(x + \sqrt{x \cdot x + 1}\right) \]
   2. Add Preprocessing

   3. Taylor expanded in x around 0

      \[\leadsto \color{blue}{x \cdot \left(1 + {x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right)} \]
   4. Step-by-step derivation

      1. *-commutative N/A

         \[\leadsto \color{blue}{\left(1 + {x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right) \cdot x} \]

      2. +-commutative N/A

         \[\leadsto \color{blue}{\left({x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right) + 1\right)} \cdot x \]

      3. distribute-lft1-in N/A

         \[\leadsto \color{blue}{\left({x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right) \cdot x + x} \]

      4. *-commutative N/A

         \[\leadsto \color{blue}{x \cdot \left({x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right)} + x \]

      5. associate-*r* N/A

         \[\leadsto \color{blue}{\left(x \cdot {x}^{2}\right) \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)} + x \]

      6. *-commutative N/A

         \[\leadsto \color{blue}{\left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right) \cdot \left(x \cdot {x}^{2}\right)} + x \]

      7. lower-fma.f64 N/A

         \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}, x \cdot {x}^{2}, x\right)} \]

      8. sub-neg N/A

         \[\leadsto \mathsf{fma}\left(\color{blue}{\frac{3}{40} \cdot {x}^{2} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right)}, x \cdot {x}^{2}, x\right) \]

      9. unpow2 N/A

         \[\leadsto \mathsf{fma}\left(\frac{3}{40} \cdot \color{blue}{\left(x \cdot x\right)} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right), x \cdot {x}^{2}, x\right) \]

      10. associate-*r* N/A

          \[\leadsto \mathsf{fma}\left(\color{blue}{\left(\frac{3}{40} \cdot x\right) \cdot x} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right), x \cdot {x}^{2}, x\right) \]

      11. *-commutative N/A

          \[\leadsto \mathsf{fma}\left(\color{blue}{x \cdot \left(\frac{3}{40} \cdot x\right)} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right), x \cdot {x}^{2}, x\right) \]

      12. metadata-eval N/A

          \[\leadsto \mathsf{fma}\left(x \cdot \left(\frac{3}{40} \cdot x\right) + \color{blue}{\frac{-1}{6}}, x \cdot {x}^{2}, x\right) \]

      13. lower-fma.f64 N/A

          \[\leadsto \mathsf{fma}\left(\color{blue}{\mathsf{fma}\left(x, \frac{3}{40} \cdot x, \frac{-1}{6}\right)}, x \cdot {x}^{2}, x\right) \]

      14. *-commutative N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, \color{blue}{x \cdot \frac{3}{40}}, \frac{-1}{6}\right), x \cdot {x}^{2}, x\right) \]

      15. lower-*.f64 N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, \color{blue}{x \cdot \frac{3}{40}}, \frac{-1}{6}\right), x \cdot {x}^{2}, x\right) \]

      16. lower-*.f64 N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right), \color{blue}{x \cdot {x}^{2}}, x\right) \]

      17. unpow2 N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right), x \cdot \color{blue}{\left(x \cdot x\right)}, x\right) \]

      18. lower-*.f64 100.0

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right), x \cdot \color{blue}{\left(x \cdot x\right)}, x\right) \]

   5. Applied rewrites 100.0%

      \[\leadsto \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right), x \cdot \left(x \cdot x\right), x\right)} \]
   6. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto \left(x \cdot \color{blue}{\left(x \cdot \frac{3}{40}\right)} + \frac{-1}{6}\right) \cdot \left(x \cdot \left(x \cdot x\right)\right) + x \]

      2. lift-fma.f64 N/A

         \[\leadsto \color{blue}{\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right)} \cdot \left(x \cdot \left(x \cdot x\right)\right) + x \]

      3. lift-*.f64 N/A

         \[\leadsto \mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot \left(x \cdot \color{blue}{\left(x \cdot x\right)}\right) + x \]

      4. lift-*.f64 N/A

         \[\leadsto \mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot \color{blue}{\left(x \cdot \left(x \cdot x\right)\right)} + x \]

      5. lift-*.f64 N/A

         \[\leadsto \mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot \color{blue}{\left(x \cdot \left(x \cdot x\right)\right)} + x \]

      6. associate-*r* N/A

         \[\leadsto \color{blue}{\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot x\right) \cdot \left(x \cdot x\right)} + x \]

      7. lift-*.f64 N/A

         \[\leadsto \left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot x\right) \cdot \color{blue}{\left(x \cdot x\right)} + x \]

      8. associate-*r* N/A

         \[\leadsto \color{blue}{\left(\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot x\right) \cdot x\right) \cdot x} + x \]

      9. lower-fma.f64 N/A

         \[\leadsto \color{blue}{\mathsf{fma}\left(\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot x\right) \cdot x, x, x\right)} \]

      10. lower-*.f64 N/A

          \[\leadsto \mathsf{fma}\left(\color{blue}{\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot x\right) \cdot x}, x, x\right) \]

      11. *-commutative N/A

          \[\leadsto \mathsf{fma}\left(\color{blue}{\left(x \cdot \mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right)\right)} \cdot x, x, x\right) \]

      12. lower-*.f64 100.0

          \[\leadsto \mathsf{fma}\left(\color{blue}{\left(x \cdot \mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right)\right)} \cdot x, x, x\right) \]

   7. Applied rewrites 100.0%

      \[\leadsto \color{blue}{\mathsf{fma}\left(\left(x \cdot \mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right)\right) \cdot x, x, x\right)} \]

   if 1.05000000000000004 < x

   1. Initial program 46.6%

      \[\log \left(x + \sqrt{x \cdot x + 1}\right) \]
   2. Add Preprocessing

   3. Taylor expanded in x around inf

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

      1. distribute-rgt-in N/A

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

      2. *-commutative N/A

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

      3. lower-fma.f64 N/A

         \[\leadsto \log \color{blue}{\left(\mathsf{fma}\left(x, 2, \left(\frac{1}{2} \cdot \frac{1}{{x}^{2}}\right) \cdot x\right)\right)} \]

      4. associate-*r/ N/A

         \[\leadsto \log \left(\mathsf{fma}\left(x, 2, \color{blue}{\frac{\frac{1}{2} \cdot 1}{{x}^{2}}} \cdot x\right)\right) \]

      5. metadata-eval N/A

         \[\leadsto \log \left(\mathsf{fma}\left(x, 2, \frac{\color{blue}{\frac{1}{2}}}{{x}^{2}} \cdot x\right)\right) \]

      6. associate-*l/ N/A

         \[\leadsto \log \left(\mathsf{fma}\left(x, 2, \color{blue}{\frac{\frac{1}{2} \cdot x}{{x}^{2}}}\right)\right) \]

      7. unpow2 N/A

         \[\leadsto \log \left(\mathsf{fma}\left(x, 2, \frac{\frac{1}{2} \cdot x}{\color{blue}{x \cdot x}}\right)\right) \]

      8. associate-/r* N/A

         \[\leadsto \log \left(\mathsf{fma}\left(x, 2, \color{blue}{\frac{\frac{\frac{1}{2} \cdot x}{x}}{x}}\right)\right) \]

      9. associate-/l* N/A

         \[\leadsto \log \left(\mathsf{fma}\left(x, 2, \frac{\color{blue}{\frac{1}{2} \cdot \frac{x}{x}}}{x}\right)\right) \]

      10. *-inverses N/A

          \[\leadsto \log \left(\mathsf{fma}\left(x, 2, \frac{\frac{1}{2} \cdot \color{blue}{1}}{x}\right)\right) \]

      11. metadata-eval N/A

          \[\leadsto \log \left(\mathsf{fma}\left(x, 2, \frac{\color{blue}{\frac{1}{2}}}{x}\right)\right) \]

      12. lower-/.f64 98.9

          \[\leadsto \log \left(\mathsf{fma}\left(x, 2, \color{blue}{\frac{0.5}{x}}\right)\right) \]

   5. Applied rewrites 98.9%

      \[\leadsto \log \color{blue}{\left(\mathsf{fma}\left(x, 2, \frac{0.5}{x}\right)\right)} \]
3. Recombined 3 regimes into one program.

4. Final simplification 99.3%

   \[\leadsto \begin{array}{l} \mathbf{if}\;x \leq -1.32:\\ \;\;\;\;\log \left(\frac{-0.5}{x}\right)\\ \mathbf{elif}\;x \leq 1.05:\\ \;\;\;\;\mathsf{fma}\left(x \cdot \left(x \cdot \mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right)\right), x, x\right)\\ \mathbf{else}:\\ \;\;\;\;\log \left(\mathsf{fma}\left(x, 2, \frac{0.5}{x}\right)\right)\\ \end{array} \]
5. Add Preprocessing

Alternative 3: 99.4% accurate, 1.0× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;x \leq -1.32:\\ \;\;\;\;\log \left(\frac{-0.5}{x}\right)\\ \mathbf{elif}\;x \leq 1.32:\\ \;\;\;\;\mathsf{fma}\left(x \cdot \left(x \cdot \mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right)\right), x, x\right)\\ \mathbf{else}:\\ \;\;\;\;\log \left(x \cdot 2\right)\\ \end{array} \end{array} \]

FPCore

(FPCore (x)
 :precision binary64
 (if (<= x -1.32)
   (log (/ -0.5 x))
   (if (<= x 1.32)
     (fma (* x (* x (fma x (* x 0.075) -0.16666666666666666))) x x)
     (log (* x 2.0)))))

C

double code(double x) {
	double tmp;
	if (x <= -1.32) {
		tmp = log((-0.5 / x));
	} else if (x <= 1.32) {
		tmp = fma((x * (x * fma(x, (x * 0.075), -0.16666666666666666))), x, x);
	} else {
		tmp = log((x * 2.0));
	}
	return tmp;
}

Julia

function code(x)
	tmp = 0.0
	if (x <= -1.32)
		tmp = log(Float64(-0.5 / x));
	elseif (x <= 1.32)
		tmp = fma(Float64(x * Float64(x * fma(x, Float64(x * 0.075), -0.16666666666666666))), x, x);
	else
		tmp = log(Float64(x * 2.0));
	end
	return tmp
end

Wolfram

code[x_] := If[LessEqual[x, -1.32], N[Log[N[(-0.5 / x), $MachinePrecision]], $MachinePrecision], If[LessEqual[x, 1.32], N[(N[(x * N[(x * N[(x * N[(x * 0.075), $MachinePrecision] + -0.16666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * x + x), $MachinePrecision], N[Log[N[(x * 2.0), $MachinePrecision]], $MachinePrecision]]]

Derivation

1. Split input into 3 regimes

2. if x < -1.32000000000000006

   1. Initial program 6.0%

      \[\log \left(x + \sqrt{x \cdot x + 1}\right) \]
   2. Add Preprocessing

   3. Taylor expanded in x around -inf

      \[\leadsto \log \color{blue}{\left(\frac{\frac{-1}{2}}{x}\right)} \]
   4. Step-by-step derivation

      1. lower-/.f64 98.0

         \[\leadsto \log \color{blue}{\left(\frac{-0.5}{x}\right)} \]

   5. Applied rewrites 98.0%

      \[\leadsto \log \color{blue}{\left(\frac{-0.5}{x}\right)} \]

   if -1.32000000000000006 < x < 1.32000000000000006

   1. Initial program 8.2%

      \[\log \left(x + \sqrt{x \cdot x + 1}\right) \]
   2. Add Preprocessing

   3. Taylor expanded in x around 0

      \[\leadsto \color{blue}{x \cdot \left(1 + {x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right)} \]
   4. Step-by-step derivation

      1. *-commutative N/A

         \[\leadsto \color{blue}{\left(1 + {x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right) \cdot x} \]

      2. +-commutative N/A

         \[\leadsto \color{blue}{\left({x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right) + 1\right)} \cdot x \]

      3. distribute-lft1-in N/A

         \[\leadsto \color{blue}{\left({x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right) \cdot x + x} \]

      4. *-commutative N/A

         \[\leadsto \color{blue}{x \cdot \left({x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right)} + x \]

      5. associate-*r* N/A

         \[\leadsto \color{blue}{\left(x \cdot {x}^{2}\right) \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)} + x \]

      6. *-commutative N/A

         \[\leadsto \color{blue}{\left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right) \cdot \left(x \cdot {x}^{2}\right)} + x \]

      7. lower-fma.f64 N/A

         \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}, x \cdot {x}^{2}, x\right)} \]

      8. sub-neg N/A

         \[\leadsto \mathsf{fma}\left(\color{blue}{\frac{3}{40} \cdot {x}^{2} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right)}, x \cdot {x}^{2}, x\right) \]

      9. unpow2 N/A

         \[\leadsto \mathsf{fma}\left(\frac{3}{40} \cdot \color{blue}{\left(x \cdot x\right)} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right), x \cdot {x}^{2}, x\right) \]

      10. associate-*r* N/A

          \[\leadsto \mathsf{fma}\left(\color{blue}{\left(\frac{3}{40} \cdot x\right) \cdot x} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right), x \cdot {x}^{2}, x\right) \]

      11. *-commutative N/A

          \[\leadsto \mathsf{fma}\left(\color{blue}{x \cdot \left(\frac{3}{40} \cdot x\right)} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right), x \cdot {x}^{2}, x\right) \]

      12. metadata-eval N/A

          \[\leadsto \mathsf{fma}\left(x \cdot \left(\frac{3}{40} \cdot x\right) + \color{blue}{\frac{-1}{6}}, x \cdot {x}^{2}, x\right) \]

      13. lower-fma.f64 N/A

          \[\leadsto \mathsf{fma}\left(\color{blue}{\mathsf{fma}\left(x, \frac{3}{40} \cdot x, \frac{-1}{6}\right)}, x \cdot {x}^{2}, x\right) \]

      14. *-commutative N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, \color{blue}{x \cdot \frac{3}{40}}, \frac{-1}{6}\right), x \cdot {x}^{2}, x\right) \]

      15. lower-*.f64 N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, \color{blue}{x \cdot \frac{3}{40}}, \frac{-1}{6}\right), x \cdot {x}^{2}, x\right) \]

      16. lower-*.f64 N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right), \color{blue}{x \cdot {x}^{2}}, x\right) \]

      17. unpow2 N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right), x \cdot \color{blue}{\left(x \cdot x\right)}, x\right) \]

      18. lower-*.f64 100.0

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right), x \cdot \color{blue}{\left(x \cdot x\right)}, x\right) \]

   5. Applied rewrites 100.0%

      \[\leadsto \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right), x \cdot \left(x \cdot x\right), x\right)} \]
   6. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto \left(x \cdot \color{blue}{\left(x \cdot \frac{3}{40}\right)} + \frac{-1}{6}\right) \cdot \left(x \cdot \left(x \cdot x\right)\right) + x \]

      2. lift-fma.f64 N/A

         \[\leadsto \color{blue}{\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right)} \cdot \left(x \cdot \left(x \cdot x\right)\right) + x \]

      3. lift-*.f64 N/A

         \[\leadsto \mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot \left(x \cdot \color{blue}{\left(x \cdot x\right)}\right) + x \]

      4. lift-*.f64 N/A

         \[\leadsto \mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot \color{blue}{\left(x \cdot \left(x \cdot x\right)\right)} + x \]

      5. lift-*.f64 N/A

         \[\leadsto \mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot \color{blue}{\left(x \cdot \left(x \cdot x\right)\right)} + x \]

      6. associate-*r* N/A

         \[\leadsto \color{blue}{\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot x\right) \cdot \left(x \cdot x\right)} + x \]

      7. lift-*.f64 N/A

         \[\leadsto \left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot x\right) \cdot \color{blue}{\left(x \cdot x\right)} + x \]

      8. associate-*r* N/A

         \[\leadsto \color{blue}{\left(\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot x\right) \cdot x\right) \cdot x} + x \]

      9. lower-fma.f64 N/A

         \[\leadsto \color{blue}{\mathsf{fma}\left(\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot x\right) \cdot x, x, x\right)} \]

      10. lower-*.f64 N/A

          \[\leadsto \mathsf{fma}\left(\color{blue}{\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot x\right) \cdot x}, x, x\right) \]

      11. *-commutative N/A

          \[\leadsto \mathsf{fma}\left(\color{blue}{\left(x \cdot \mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right)\right)} \cdot x, x, x\right) \]

      12. lower-*.f64 100.0

          \[\leadsto \mathsf{fma}\left(\color{blue}{\left(x \cdot \mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right)\right)} \cdot x, x, x\right) \]

   7. Applied rewrites 100.0%

      \[\leadsto \color{blue}{\mathsf{fma}\left(\left(x \cdot \mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right)\right) \cdot x, x, x\right)} \]

   if 1.32000000000000006 < x

   1. Initial program 46.6%

      \[\log \left(x + \sqrt{x \cdot x + 1}\right) \]
   2. Add Preprocessing

   3. Taylor expanded in x around inf

      \[\leadsto \log \color{blue}{\left(2 \cdot x\right)} \]
   4. Step-by-step derivation

      1. *-commutative N/A

         \[\leadsto \log \color{blue}{\left(x \cdot 2\right)} \]

      2. lower-*.f64 97.8

         \[\leadsto \log \color{blue}{\left(x \cdot 2\right)} \]

   5. Applied rewrites 97.8%

      \[\leadsto \log \color{blue}{\left(x \cdot 2\right)} \]
3. Recombined 3 regimes into one program.

4. Final simplification 99.0%

   \[\leadsto \begin{array}{l} \mathbf{if}\;x \leq -1.32:\\ \;\;\;\;\log \left(\frac{-0.5}{x}\right)\\ \mathbf{elif}\;x \leq 1.32:\\ \;\;\;\;\mathsf{fma}\left(x \cdot \left(x \cdot \mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right)\right), x, x\right)\\ \mathbf{else}:\\ \;\;\;\;\log \left(x \cdot 2\right)\\ \end{array} \]
5. Add Preprocessing

Alternative 4: 75.8% accurate, 1.1× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;x \leq 1.9:\\ \;\;\;\;\mathsf{fma}\left(x \cdot -0.027777777777777776, \frac{x \cdot x}{\mathsf{fma}\left(x \cdot x, 0.075, 0.16666666666666666\right)}, x\right)\\ \mathbf{else}:\\ \;\;\;\;\log \left(x \cdot 2\right)\\ \end{array} \end{array} \]

FPCore

(FPCore (x)
 :precision binary64
 (if (<= x 1.9)
   (fma
    (* x -0.027777777777777776)
    (/ (* x x) (fma (* x x) 0.075 0.16666666666666666))
    x)
   (log (* x 2.0))))

C

double code(double x) {
	double tmp;
	if (x <= 1.9) {
		tmp = fma((x * -0.027777777777777776), ((x * x) / fma((x * x), 0.075, 0.16666666666666666)), x);
	} else {
		tmp = log((x * 2.0));
	}
	return tmp;
}

Julia

function code(x)
	tmp = 0.0
	if (x <= 1.9)
		tmp = fma(Float64(x * -0.027777777777777776), Float64(Float64(x * x) / fma(Float64(x * x), 0.075, 0.16666666666666666)), x);
	else
		tmp = log(Float64(x * 2.0));
	end
	return tmp
end

Wolfram

code[x_] := If[LessEqual[x, 1.9], N[(N[(x * -0.027777777777777776), $MachinePrecision] * N[(N[(x * x), $MachinePrecision] / N[(N[(x * x), $MachinePrecision] * 0.075 + 0.16666666666666666), $MachinePrecision]), $MachinePrecision] + x), $MachinePrecision], N[Log[N[(x * 2.0), $MachinePrecision]], $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if x < 1.8999999999999999

   1. Initial program 7.5%

      \[\log \left(x + \sqrt{x \cdot x + 1}\right) \]
   2. Add Preprocessing

   3. Taylor expanded in x around 0

      \[\leadsto \color{blue}{x \cdot \left(1 + {x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right)} \]
   4. Step-by-step derivation

      1. *-commutative N/A

         \[\leadsto \color{blue}{\left(1 + {x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right) \cdot x} \]

      2. +-commutative N/A

         \[\leadsto \color{blue}{\left({x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right) + 1\right)} \cdot x \]

      3. distribute-lft1-in N/A

         \[\leadsto \color{blue}{\left({x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right) \cdot x + x} \]

      4. *-commutative N/A

         \[\leadsto \color{blue}{x \cdot \left({x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right)} + x \]

      5. associate-*r* N/A

         \[\leadsto \color{blue}{\left(x \cdot {x}^{2}\right) \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)} + x \]

      6. *-commutative N/A

         \[\leadsto \color{blue}{\left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right) \cdot \left(x \cdot {x}^{2}\right)} + x \]

      7. lower-fma.f64 N/A

         \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}, x \cdot {x}^{2}, x\right)} \]

      8. sub-neg N/A

         \[\leadsto \mathsf{fma}\left(\color{blue}{\frac{3}{40} \cdot {x}^{2} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right)}, x \cdot {x}^{2}, x\right) \]

      9. unpow2 N/A

         \[\leadsto \mathsf{fma}\left(\frac{3}{40} \cdot \color{blue}{\left(x \cdot x\right)} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right), x \cdot {x}^{2}, x\right) \]

      10. associate-*r* N/A

          \[\leadsto \mathsf{fma}\left(\color{blue}{\left(\frac{3}{40} \cdot x\right) \cdot x} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right), x \cdot {x}^{2}, x\right) \]

      11. *-commutative N/A

          \[\leadsto \mathsf{fma}\left(\color{blue}{x \cdot \left(\frac{3}{40} \cdot x\right)} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right), x \cdot {x}^{2}, x\right) \]

      12. metadata-eval N/A

          \[\leadsto \mathsf{fma}\left(x \cdot \left(\frac{3}{40} \cdot x\right) + \color{blue}{\frac{-1}{6}}, x \cdot {x}^{2}, x\right) \]

      13. lower-fma.f64 N/A

          \[\leadsto \mathsf{fma}\left(\color{blue}{\mathsf{fma}\left(x, \frac{3}{40} \cdot x, \frac{-1}{6}\right)}, x \cdot {x}^{2}, x\right) \]

      14. *-commutative N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, \color{blue}{x \cdot \frac{3}{40}}, \frac{-1}{6}\right), x \cdot {x}^{2}, x\right) \]

      15. lower-*.f64 N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, \color{blue}{x \cdot \frac{3}{40}}, \frac{-1}{6}\right), x \cdot {x}^{2}, x\right) \]

      16. lower-*.f64 N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right), \color{blue}{x \cdot {x}^{2}}, x\right) \]

      17. unpow2 N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right), x \cdot \color{blue}{\left(x \cdot x\right)}, x\right) \]

      18. lower-*.f64 68.5

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right), x \cdot \color{blue}{\left(x \cdot x\right)}, x\right) \]

   5. Applied rewrites 68.5%

      \[\leadsto \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right), x \cdot \left(x \cdot x\right), x\right)} \]
   6. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto \left(x \cdot \color{blue}{\left(x \cdot \frac{3}{40}\right)} + \frac{-1}{6}\right) \cdot \left(x \cdot \left(x \cdot x\right)\right) + x \]

      2. lift-fma.f64 N/A

         \[\leadsto \color{blue}{\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right)} \cdot \left(x \cdot \left(x \cdot x\right)\right) + x \]

      3. lift-*.f64 N/A

         \[\leadsto \mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot \left(x \cdot \color{blue}{\left(x \cdot x\right)}\right) + x \]

      4. lift-*.f64 N/A

         \[\leadsto \mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot \color{blue}{\left(x \cdot \left(x \cdot x\right)\right)} + x \]

      5. lift-fma.f64 N/A

         \[\leadsto \color{blue}{\left(x \cdot \left(x \cdot \frac{3}{40}\right) + \frac{-1}{6}\right)} \cdot \left(x \cdot \left(x \cdot x\right)\right) + x \]

      6. flip-+ N/A

         \[\leadsto \color{blue}{\frac{\left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) \cdot \left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) - \frac{-1}{6} \cdot \frac{-1}{6}}{x \cdot \left(x \cdot \frac{3}{40}\right) - \frac{-1}{6}}} \cdot \left(x \cdot \left(x \cdot x\right)\right) + x \]

      7. associate-*l/ N/A

         \[\leadsto \color{blue}{\frac{\left(\left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) \cdot \left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) - \frac{-1}{6} \cdot \frac{-1}{6}\right) \cdot \left(x \cdot \left(x \cdot x\right)\right)}{x \cdot \left(x \cdot \frac{3}{40}\right) - \frac{-1}{6}}} + x \]

      8. div-inv N/A

         \[\leadsto \color{blue}{\left(\left(\left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) \cdot \left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) - \frac{-1}{6} \cdot \frac{-1}{6}\right) \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot \frac{1}{x \cdot \left(x \cdot \frac{3}{40}\right) - \frac{-1}{6}}} + x \]

      9. lower-fma.f64 N/A

         \[\leadsto \color{blue}{\mathsf{fma}\left(\left(\left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) \cdot \left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) - \frac{-1}{6} \cdot \frac{-1}{6}\right) \cdot \left(x \cdot \left(x \cdot x\right)\right), \frac{1}{x \cdot \left(x \cdot \frac{3}{40}\right) - \frac{-1}{6}}, x\right)} \]

   7. Applied rewrites 68.1%

      \[\leadsto \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(x \cdot \left(x \cdot \left(x \cdot x\right)\right), 0.005625, -0.027777777777777776\right) \cdot \left(x \cdot \left(x \cdot x\right)\right), \frac{1}{\mathsf{fma}\left(0.075, x \cdot x, 0.16666666666666666\right)}, x\right)} \]

   8. Taylor expanded in x around 0

      \[\leadsto \mathsf{fma}\left(\color{blue}{\frac{-1}{36}} \cdot \left(x \cdot \left(x \cdot x\right)\right), \frac{1}{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}, x\right) \]
   9. Step-by-step derivation

   10. Applied rewrites 68.5%

       \[\leadsto \mathsf{fma}\left(\color{blue}{-0.027777777777777776} \cdot \left(x \cdot \left(x \cdot x\right)\right), \frac{1}{\mathsf{fma}\left(0.075, x \cdot x, 0.16666666666666666\right)}, x\right) \]
   11. Step-by-step derivation

       1. lift-*.f64 N/A

          \[\leadsto \left(\frac{-1}{36} \cdot \left(x \cdot \color{blue}{\left(x \cdot x\right)}\right)\right) \cdot \frac{1}{\frac{3}{40} \cdot \left(x \cdot x\right) + \frac{1}{6}} + x \]

       2. lift-*.f64 N/A

          \[\leadsto \left(\frac{-1}{36} \cdot \color{blue}{\left(x \cdot \left(x \cdot x\right)\right)}\right) \cdot \frac{1}{\frac{3}{40} \cdot \left(x \cdot x\right) + \frac{1}{6}} + x \]

       3. lift-*.f64 N/A

          \[\leadsto \color{blue}{\left(\frac{-1}{36} \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)} \cdot \frac{1}{\frac{3}{40} \cdot \left(x \cdot x\right) + \frac{1}{6}} + x \]

       4. lift-*.f64 N/A

          \[\leadsto \left(\frac{-1}{36} \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot \frac{1}{\frac{3}{40} \cdot \color{blue}{\left(x \cdot x\right)} + \frac{1}{6}} + x \]

       5. lift-fma.f64 N/A

          \[\leadsto \left(\frac{-1}{36} \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot \frac{1}{\color{blue}{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}} + x \]

       6. /-rgt-identity N/A

          \[\leadsto \left(\frac{-1}{36} \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot \frac{1}{\color{blue}{\frac{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}{1}}} + x \]

       7. un-div-inv N/A

          \[\leadsto \color{blue}{\frac{\frac{-1}{36} \cdot \left(x \cdot \left(x \cdot x\right)\right)}{\frac{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}{1}}} + x \]

       8. lift-*.f64 N/A

          \[\leadsto \frac{\color{blue}{\frac{-1}{36} \cdot \left(x \cdot \left(x \cdot x\right)\right)}}{\frac{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}{1}} + x \]

       9. lift-*.f64 N/A

          \[\leadsto \frac{\frac{-1}{36} \cdot \color{blue}{\left(x \cdot \left(x \cdot x\right)\right)}}{\frac{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}{1}} + x \]

       10. associate-*r* N/A

           \[\leadsto \frac{\color{blue}{\left(\frac{-1}{36} \cdot x\right) \cdot \left(x \cdot x\right)}}{\frac{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}{1}} + x \]

       11. /-rgt-identity N/A

           \[\leadsto \frac{\left(\frac{-1}{36} \cdot x\right) \cdot \left(x \cdot x\right)}{\color{blue}{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}} + x \]

       12. associate-/l* N/A

           \[\leadsto \color{blue}{\left(\frac{-1}{36} \cdot x\right) \cdot \frac{x \cdot x}{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}} + x \]

       13. lower-fma.f64 N/A

           \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{-1}{36} \cdot x, \frac{x \cdot x}{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}, x\right)} \]

   12. Applied rewrites 68.8%

       \[\leadsto \color{blue}{\mathsf{fma}\left(x \cdot -0.027777777777777776, \frac{x \cdot x}{\mathsf{fma}\left(x \cdot x, 0.075, 0.16666666666666666\right)}, x\right)} \]

   if 1.8999999999999999 < x

   1. Initial program 46.6%

      \[\log \left(x + \sqrt{x \cdot x + 1}\right) \]
   2. Add Preprocessing

   3. Taylor expanded in x around inf

      \[\leadsto \log \color{blue}{\left(2 \cdot x\right)} \]
   4. Step-by-step derivation

      1. *-commutative N/A

         \[\leadsto \log \color{blue}{\left(x \cdot 2\right)} \]

      2. lower-*.f64 97.8

         \[\leadsto \log \color{blue}{\left(x \cdot 2\right)} \]

   5. Applied rewrites 97.8%

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

Alternative 5: 58.7% accurate, 1.1× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;x \leq 4.5:\\ \;\;\;\;\mathsf{fma}\left(x \cdot -0.027777777777777776, \frac{x \cdot x}{\mathsf{fma}\left(x \cdot x, 0.075, 0.16666666666666666\right)}, x\right)\\ \mathbf{else}:\\ \;\;\;\;\log \left(x + 1\right)\\ \end{array} \end{array} \]

FPCore

(FPCore (x)
 :precision binary64
 (if (<= x 4.5)
   (fma
    (* x -0.027777777777777776)
    (/ (* x x) (fma (* x x) 0.075 0.16666666666666666))
    x)
   (log (+ x 1.0))))

C

double code(double x) {
	double tmp;
	if (x <= 4.5) {
		tmp = fma((x * -0.027777777777777776), ((x * x) / fma((x * x), 0.075, 0.16666666666666666)), x);
	} else {
		tmp = log((x + 1.0));
	}
	return tmp;
}

Julia

function code(x)
	tmp = 0.0
	if (x <= 4.5)
		tmp = fma(Float64(x * -0.027777777777777776), Float64(Float64(x * x) / fma(Float64(x * x), 0.075, 0.16666666666666666)), x);
	else
		tmp = log(Float64(x + 1.0));
	end
	return tmp
end

Wolfram

code[x_] := If[LessEqual[x, 4.5], N[(N[(x * -0.027777777777777776), $MachinePrecision] * N[(N[(x * x), $MachinePrecision] / N[(N[(x * x), $MachinePrecision] * 0.075 + 0.16666666666666666), $MachinePrecision]), $MachinePrecision] + x), $MachinePrecision], N[Log[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if x < 4.5

   1. Initial program 7.5%

      \[\log \left(x + \sqrt{x \cdot x + 1}\right) \]
   2. Add Preprocessing

   3. Taylor expanded in x around 0

      \[\leadsto \color{blue}{x \cdot \left(1 + {x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right)} \]
   4. Step-by-step derivation

      1. *-commutative N/A

         \[\leadsto \color{blue}{\left(1 + {x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right) \cdot x} \]

      2. +-commutative N/A

         \[\leadsto \color{blue}{\left({x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right) + 1\right)} \cdot x \]

      3. distribute-lft1-in N/A

         \[\leadsto \color{blue}{\left({x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right) \cdot x + x} \]

      4. *-commutative N/A

         \[\leadsto \color{blue}{x \cdot \left({x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right)} + x \]

      5. associate-*r* N/A

         \[\leadsto \color{blue}{\left(x \cdot {x}^{2}\right) \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)} + x \]

      6. *-commutative N/A

         \[\leadsto \color{blue}{\left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right) \cdot \left(x \cdot {x}^{2}\right)} + x \]

      7. lower-fma.f64 N/A

         \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}, x \cdot {x}^{2}, x\right)} \]

      8. sub-neg N/A

         \[\leadsto \mathsf{fma}\left(\color{blue}{\frac{3}{40} \cdot {x}^{2} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right)}, x \cdot {x}^{2}, x\right) \]

      9. unpow2 N/A

         \[\leadsto \mathsf{fma}\left(\frac{3}{40} \cdot \color{blue}{\left(x \cdot x\right)} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right), x \cdot {x}^{2}, x\right) \]

      10. associate-*r* N/A

          \[\leadsto \mathsf{fma}\left(\color{blue}{\left(\frac{3}{40} \cdot x\right) \cdot x} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right), x \cdot {x}^{2}, x\right) \]

      11. *-commutative N/A

          \[\leadsto \mathsf{fma}\left(\color{blue}{x \cdot \left(\frac{3}{40} \cdot x\right)} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right), x \cdot {x}^{2}, x\right) \]

      12. metadata-eval N/A

          \[\leadsto \mathsf{fma}\left(x \cdot \left(\frac{3}{40} \cdot x\right) + \color{blue}{\frac{-1}{6}}, x \cdot {x}^{2}, x\right) \]

      13. lower-fma.f64 N/A

          \[\leadsto \mathsf{fma}\left(\color{blue}{\mathsf{fma}\left(x, \frac{3}{40} \cdot x, \frac{-1}{6}\right)}, x \cdot {x}^{2}, x\right) \]

      14. *-commutative N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, \color{blue}{x \cdot \frac{3}{40}}, \frac{-1}{6}\right), x \cdot {x}^{2}, x\right) \]

      15. lower-*.f64 N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, \color{blue}{x \cdot \frac{3}{40}}, \frac{-1}{6}\right), x \cdot {x}^{2}, x\right) \]

      16. lower-*.f64 N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right), \color{blue}{x \cdot {x}^{2}}, x\right) \]

      17. unpow2 N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right), x \cdot \color{blue}{\left(x \cdot x\right)}, x\right) \]

      18. lower-*.f64 68.5

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right), x \cdot \color{blue}{\left(x \cdot x\right)}, x\right) \]

   5. Applied rewrites 68.5%

      \[\leadsto \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right), x \cdot \left(x \cdot x\right), x\right)} \]
   6. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto \left(x \cdot \color{blue}{\left(x \cdot \frac{3}{40}\right)} + \frac{-1}{6}\right) \cdot \left(x \cdot \left(x \cdot x\right)\right) + x \]

      2. lift-fma.f64 N/A

         \[\leadsto \color{blue}{\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right)} \cdot \left(x \cdot \left(x \cdot x\right)\right) + x \]

      3. lift-*.f64 N/A

         \[\leadsto \mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot \left(x \cdot \color{blue}{\left(x \cdot x\right)}\right) + x \]

      4. lift-*.f64 N/A

         \[\leadsto \mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot \color{blue}{\left(x \cdot \left(x \cdot x\right)\right)} + x \]

      5. lift-fma.f64 N/A

         \[\leadsto \color{blue}{\left(x \cdot \left(x \cdot \frac{3}{40}\right) + \frac{-1}{6}\right)} \cdot \left(x \cdot \left(x \cdot x\right)\right) + x \]

      6. flip-+ N/A

         \[\leadsto \color{blue}{\frac{\left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) \cdot \left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) - \frac{-1}{6} \cdot \frac{-1}{6}}{x \cdot \left(x \cdot \frac{3}{40}\right) - \frac{-1}{6}}} \cdot \left(x \cdot \left(x \cdot x\right)\right) + x \]

      7. associate-*l/ N/A

         \[\leadsto \color{blue}{\frac{\left(\left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) \cdot \left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) - \frac{-1}{6} \cdot \frac{-1}{6}\right) \cdot \left(x \cdot \left(x \cdot x\right)\right)}{x \cdot \left(x \cdot \frac{3}{40}\right) - \frac{-1}{6}}} + x \]

      8. div-inv N/A

         \[\leadsto \color{blue}{\left(\left(\left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) \cdot \left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) - \frac{-1}{6} \cdot \frac{-1}{6}\right) \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot \frac{1}{x \cdot \left(x \cdot \frac{3}{40}\right) - \frac{-1}{6}}} + x \]

      9. lower-fma.f64 N/A

         \[\leadsto \color{blue}{\mathsf{fma}\left(\left(\left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) \cdot \left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) - \frac{-1}{6} \cdot \frac{-1}{6}\right) \cdot \left(x \cdot \left(x \cdot x\right)\right), \frac{1}{x \cdot \left(x \cdot \frac{3}{40}\right) - \frac{-1}{6}}, x\right)} \]

   7. Applied rewrites 68.1%

      \[\leadsto \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(x \cdot \left(x \cdot \left(x \cdot x\right)\right), 0.005625, -0.027777777777777776\right) \cdot \left(x \cdot \left(x \cdot x\right)\right), \frac{1}{\mathsf{fma}\left(0.075, x \cdot x, 0.16666666666666666\right)}, x\right)} \]

   8. Taylor expanded in x around 0

      \[\leadsto \mathsf{fma}\left(\color{blue}{\frac{-1}{36}} \cdot \left(x \cdot \left(x \cdot x\right)\right), \frac{1}{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}, x\right) \]
   9. Step-by-step derivation

   10. Applied rewrites 68.5%

       \[\leadsto \mathsf{fma}\left(\color{blue}{-0.027777777777777776} \cdot \left(x \cdot \left(x \cdot x\right)\right), \frac{1}{\mathsf{fma}\left(0.075, x \cdot x, 0.16666666666666666\right)}, x\right) \]
   11. Step-by-step derivation

       1. lift-*.f64 N/A

          \[\leadsto \left(\frac{-1}{36} \cdot \left(x \cdot \color{blue}{\left(x \cdot x\right)}\right)\right) \cdot \frac{1}{\frac{3}{40} \cdot \left(x \cdot x\right) + \frac{1}{6}} + x \]

       2. lift-*.f64 N/A

          \[\leadsto \left(\frac{-1}{36} \cdot \color{blue}{\left(x \cdot \left(x \cdot x\right)\right)}\right) \cdot \frac{1}{\frac{3}{40} \cdot \left(x \cdot x\right) + \frac{1}{6}} + x \]

       3. lift-*.f64 N/A

          \[\leadsto \color{blue}{\left(\frac{-1}{36} \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)} \cdot \frac{1}{\frac{3}{40} \cdot \left(x \cdot x\right) + \frac{1}{6}} + x \]

       4. lift-*.f64 N/A

          \[\leadsto \left(\frac{-1}{36} \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot \frac{1}{\frac{3}{40} \cdot \color{blue}{\left(x \cdot x\right)} + \frac{1}{6}} + x \]

       5. lift-fma.f64 N/A

          \[\leadsto \left(\frac{-1}{36} \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot \frac{1}{\color{blue}{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}} + x \]

       6. /-rgt-identity N/A

          \[\leadsto \left(\frac{-1}{36} \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot \frac{1}{\color{blue}{\frac{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}{1}}} + x \]

       7. un-div-inv N/A

          \[\leadsto \color{blue}{\frac{\frac{-1}{36} \cdot \left(x \cdot \left(x \cdot x\right)\right)}{\frac{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}{1}}} + x \]

       8. lift-*.f64 N/A

          \[\leadsto \frac{\color{blue}{\frac{-1}{36} \cdot \left(x \cdot \left(x \cdot x\right)\right)}}{\frac{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}{1}} + x \]

       9. lift-*.f64 N/A

          \[\leadsto \frac{\frac{-1}{36} \cdot \color{blue}{\left(x \cdot \left(x \cdot x\right)\right)}}{\frac{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}{1}} + x \]

       10. associate-*r* N/A

           \[\leadsto \frac{\color{blue}{\left(\frac{-1}{36} \cdot x\right) \cdot \left(x \cdot x\right)}}{\frac{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}{1}} + x \]

       11. /-rgt-identity N/A

           \[\leadsto \frac{\left(\frac{-1}{36} \cdot x\right) \cdot \left(x \cdot x\right)}{\color{blue}{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}} + x \]

       12. associate-/l* N/A

           \[\leadsto \color{blue}{\left(\frac{-1}{36} \cdot x\right) \cdot \frac{x \cdot x}{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}} + x \]

       13. lower-fma.f64 N/A

           \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{-1}{36} \cdot x, \frac{x \cdot x}{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}, x\right)} \]

   12. Applied rewrites 68.8%

       \[\leadsto \color{blue}{\mathsf{fma}\left(x \cdot -0.027777777777777776, \frac{x \cdot x}{\mathsf{fma}\left(x \cdot x, 0.075, 0.16666666666666666\right)}, x\right)} \]

   if 4.5 < x

   1. Initial program 46.6%

      \[\log \left(x + \sqrt{x \cdot x + 1}\right) \]
   2. Add Preprocessing

   3. Taylor expanded in x around 0

      \[\leadsto \log \left(x + \color{blue}{1}\right) \]
   4. Step-by-step derivation

   5. Applied rewrites 31.0%

      \[\leadsto \log \left(x + \color{blue}{1}\right) \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 6: 58.7% accurate, 1.1× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;x \leq 4.5:\\ \;\;\;\;\mathsf{fma}\left(x \cdot -0.027777777777777776, \frac{x \cdot x}{\mathsf{fma}\left(x \cdot x, 0.075, 0.16666666666666666\right)}, x\right)\\ \mathbf{else}:\\ \;\;\;\;\mathsf{log1p}\left(x\right)\\ \end{array} \end{array} \]

FPCore

(FPCore (x)
 :precision binary64
 (if (<= x 4.5)
   (fma
    (* x -0.027777777777777776)
    (/ (* x x) (fma (* x x) 0.075 0.16666666666666666))
    x)
   (log1p x)))

C

double code(double x) {
	double tmp;
	if (x <= 4.5) {
		tmp = fma((x * -0.027777777777777776), ((x * x) / fma((x * x), 0.075, 0.16666666666666666)), x);
	} else {
		tmp = log1p(x);
	}
	return tmp;
}

Julia

function code(x)
	tmp = 0.0
	if (x <= 4.5)
		tmp = fma(Float64(x * -0.027777777777777776), Float64(Float64(x * x) / fma(Float64(x * x), 0.075, 0.16666666666666666)), x);
	else
		tmp = log1p(x);
	end
	return tmp
end

Wolfram

code[x_] := If[LessEqual[x, 4.5], N[(N[(x * -0.027777777777777776), $MachinePrecision] * N[(N[(x * x), $MachinePrecision] / N[(N[(x * x), $MachinePrecision] * 0.075 + 0.16666666666666666), $MachinePrecision]), $MachinePrecision] + x), $MachinePrecision], N[Log[1 + x], $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if x < 4.5

   1. Initial program 7.5%

      \[\log \left(x + \sqrt{x \cdot x + 1}\right) \]
   2. Add Preprocessing

   3. Taylor expanded in x around 0

      \[\leadsto \color{blue}{x \cdot \left(1 + {x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right)} \]
   4. Step-by-step derivation

      1. *-commutative N/A

         \[\leadsto \color{blue}{\left(1 + {x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right) \cdot x} \]

      2. +-commutative N/A

         \[\leadsto \color{blue}{\left({x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right) + 1\right)} \cdot x \]

      3. distribute-lft1-in N/A

         \[\leadsto \color{blue}{\left({x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right) \cdot x + x} \]

      4. *-commutative N/A

         \[\leadsto \color{blue}{x \cdot \left({x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right)} + x \]

      5. associate-*r* N/A

         \[\leadsto \color{blue}{\left(x \cdot {x}^{2}\right) \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)} + x \]

      6. *-commutative N/A

         \[\leadsto \color{blue}{\left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right) \cdot \left(x \cdot {x}^{2}\right)} + x \]

      7. lower-fma.f64 N/A

         \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}, x \cdot {x}^{2}, x\right)} \]

      8. sub-neg N/A

         \[\leadsto \mathsf{fma}\left(\color{blue}{\frac{3}{40} \cdot {x}^{2} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right)}, x \cdot {x}^{2}, x\right) \]

      9. unpow2 N/A

         \[\leadsto \mathsf{fma}\left(\frac{3}{40} \cdot \color{blue}{\left(x \cdot x\right)} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right), x \cdot {x}^{2}, x\right) \]

      10. associate-*r* N/A

          \[\leadsto \mathsf{fma}\left(\color{blue}{\left(\frac{3}{40} \cdot x\right) \cdot x} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right), x \cdot {x}^{2}, x\right) \]

      11. *-commutative N/A

          \[\leadsto \mathsf{fma}\left(\color{blue}{x \cdot \left(\frac{3}{40} \cdot x\right)} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right), x \cdot {x}^{2}, x\right) \]

      12. metadata-eval N/A

          \[\leadsto \mathsf{fma}\left(x \cdot \left(\frac{3}{40} \cdot x\right) + \color{blue}{\frac{-1}{6}}, x \cdot {x}^{2}, x\right) \]

      13. lower-fma.f64 N/A

          \[\leadsto \mathsf{fma}\left(\color{blue}{\mathsf{fma}\left(x, \frac{3}{40} \cdot x, \frac{-1}{6}\right)}, x \cdot {x}^{2}, x\right) \]

      14. *-commutative N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, \color{blue}{x \cdot \frac{3}{40}}, \frac{-1}{6}\right), x \cdot {x}^{2}, x\right) \]

      15. lower-*.f64 N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, \color{blue}{x \cdot \frac{3}{40}}, \frac{-1}{6}\right), x \cdot {x}^{2}, x\right) \]

      16. lower-*.f64 N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right), \color{blue}{x \cdot {x}^{2}}, x\right) \]

      17. unpow2 N/A

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right), x \cdot \color{blue}{\left(x \cdot x\right)}, x\right) \]

      18. lower-*.f64 68.5

          \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right), x \cdot \color{blue}{\left(x \cdot x\right)}, x\right) \]

   5. Applied rewrites 68.5%

      \[\leadsto \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right), x \cdot \left(x \cdot x\right), x\right)} \]
   6. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto \left(x \cdot \color{blue}{\left(x \cdot \frac{3}{40}\right)} + \frac{-1}{6}\right) \cdot \left(x \cdot \left(x \cdot x\right)\right) + x \]

      2. lift-fma.f64 N/A

         \[\leadsto \color{blue}{\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right)} \cdot \left(x \cdot \left(x \cdot x\right)\right) + x \]

      3. lift-*.f64 N/A

         \[\leadsto \mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot \left(x \cdot \color{blue}{\left(x \cdot x\right)}\right) + x \]

      4. lift-*.f64 N/A

         \[\leadsto \mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot \color{blue}{\left(x \cdot \left(x \cdot x\right)\right)} + x \]

      5. lift-fma.f64 N/A

         \[\leadsto \color{blue}{\left(x \cdot \left(x \cdot \frac{3}{40}\right) + \frac{-1}{6}\right)} \cdot \left(x \cdot \left(x \cdot x\right)\right) + x \]

      6. flip-+ N/A

         \[\leadsto \color{blue}{\frac{\left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) \cdot \left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) - \frac{-1}{6} \cdot \frac{-1}{6}}{x \cdot \left(x \cdot \frac{3}{40}\right) - \frac{-1}{6}}} \cdot \left(x \cdot \left(x \cdot x\right)\right) + x \]

      7. associate-*l/ N/A

         \[\leadsto \color{blue}{\frac{\left(\left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) \cdot \left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) - \frac{-1}{6} \cdot \frac{-1}{6}\right) \cdot \left(x \cdot \left(x \cdot x\right)\right)}{x \cdot \left(x \cdot \frac{3}{40}\right) - \frac{-1}{6}}} + x \]

      8. div-inv N/A

         \[\leadsto \color{blue}{\left(\left(\left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) \cdot \left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) - \frac{-1}{6} \cdot \frac{-1}{6}\right) \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot \frac{1}{x \cdot \left(x \cdot \frac{3}{40}\right) - \frac{-1}{6}}} + x \]

      9. lower-fma.f64 N/A

         \[\leadsto \color{blue}{\mathsf{fma}\left(\left(\left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) \cdot \left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) - \frac{-1}{6} \cdot \frac{-1}{6}\right) \cdot \left(x \cdot \left(x \cdot x\right)\right), \frac{1}{x \cdot \left(x \cdot \frac{3}{40}\right) - \frac{-1}{6}}, x\right)} \]

   7. Applied rewrites 68.1%

      \[\leadsto \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(x \cdot \left(x \cdot \left(x \cdot x\right)\right), 0.005625, -0.027777777777777776\right) \cdot \left(x \cdot \left(x \cdot x\right)\right), \frac{1}{\mathsf{fma}\left(0.075, x \cdot x, 0.16666666666666666\right)}, x\right)} \]

   8. Taylor expanded in x around 0

      \[\leadsto \mathsf{fma}\left(\color{blue}{\frac{-1}{36}} \cdot \left(x \cdot \left(x \cdot x\right)\right), \frac{1}{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}, x\right) \]
   9. Step-by-step derivation

   10. Applied rewrites 68.5%

       \[\leadsto \mathsf{fma}\left(\color{blue}{-0.027777777777777776} \cdot \left(x \cdot \left(x \cdot x\right)\right), \frac{1}{\mathsf{fma}\left(0.075, x \cdot x, 0.16666666666666666\right)}, x\right) \]
   11. Step-by-step derivation

       1. lift-*.f64 N/A

          \[\leadsto \left(\frac{-1}{36} \cdot \left(x \cdot \color{blue}{\left(x \cdot x\right)}\right)\right) \cdot \frac{1}{\frac{3}{40} \cdot \left(x \cdot x\right) + \frac{1}{6}} + x \]

       2. lift-*.f64 N/A

          \[\leadsto \left(\frac{-1}{36} \cdot \color{blue}{\left(x \cdot \left(x \cdot x\right)\right)}\right) \cdot \frac{1}{\frac{3}{40} \cdot \left(x \cdot x\right) + \frac{1}{6}} + x \]

       3. lift-*.f64 N/A

          \[\leadsto \color{blue}{\left(\frac{-1}{36} \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)} \cdot \frac{1}{\frac{3}{40} \cdot \left(x \cdot x\right) + \frac{1}{6}} + x \]

       4. lift-*.f64 N/A

          \[\leadsto \left(\frac{-1}{36} \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot \frac{1}{\frac{3}{40} \cdot \color{blue}{\left(x \cdot x\right)} + \frac{1}{6}} + x \]

       5. lift-fma.f64 N/A

          \[\leadsto \left(\frac{-1}{36} \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot \frac{1}{\color{blue}{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}} + x \]

       6. /-rgt-identity N/A

          \[\leadsto \left(\frac{-1}{36} \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot \frac{1}{\color{blue}{\frac{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}{1}}} + x \]

       7. un-div-inv N/A

          \[\leadsto \color{blue}{\frac{\frac{-1}{36} \cdot \left(x \cdot \left(x \cdot x\right)\right)}{\frac{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}{1}}} + x \]

       8. lift-*.f64 N/A

          \[\leadsto \frac{\color{blue}{\frac{-1}{36} \cdot \left(x \cdot \left(x \cdot x\right)\right)}}{\frac{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}{1}} + x \]

       9. lift-*.f64 N/A

          \[\leadsto \frac{\frac{-1}{36} \cdot \color{blue}{\left(x \cdot \left(x \cdot x\right)\right)}}{\frac{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}{1}} + x \]

       10. associate-*r* N/A

           \[\leadsto \frac{\color{blue}{\left(\frac{-1}{36} \cdot x\right) \cdot \left(x \cdot x\right)}}{\frac{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}{1}} + x \]

       11. /-rgt-identity N/A

           \[\leadsto \frac{\left(\frac{-1}{36} \cdot x\right) \cdot \left(x \cdot x\right)}{\color{blue}{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}} + x \]

       12. associate-/l* N/A

           \[\leadsto \color{blue}{\left(\frac{-1}{36} \cdot x\right) \cdot \frac{x \cdot x}{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}} + x \]

       13. lower-fma.f64 N/A

           \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{-1}{36} \cdot x, \frac{x \cdot x}{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}, x\right)} \]

   12. Applied rewrites 68.8%

       \[\leadsto \color{blue}{\mathsf{fma}\left(x \cdot -0.027777777777777776, \frac{x \cdot x}{\mathsf{fma}\left(x \cdot x, 0.075, 0.16666666666666666\right)}, x\right)} \]

   if 4.5 < x

   1. Initial program 46.6%

      \[\log \left(x + \sqrt{x \cdot x + 1}\right) \]
   2. Add Preprocessing

   3. Taylor expanded in x around 0

      \[\leadsto \log \left(x + \color{blue}{1}\right) \]
   4. Step-by-step derivation

   5. Applied rewrites 31.0%

      \[\leadsto \log \left(x + \color{blue}{1}\right) \]
   6. Step-by-step derivation

      1. +-commutative N/A

         \[\leadsto \log \color{blue}{\left(1 + x\right)} \]

      2. lower-log1p.f64 31.0

         \[\leadsto \color{blue}{\mathsf{log1p}\left(x\right)} \]

   7. Applied rewrites 31.0%

      \[\leadsto \color{blue}{\mathsf{log1p}\left(x\right)} \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 7: 51.7% accurate, 3.1× speedup

Math

\[\begin{array}{l} \\ \mathsf{fma}\left(x \cdot -0.027777777777777776, \frac{x \cdot x}{\mathsf{fma}\left(x \cdot x, 0.075, 0.16666666666666666\right)}, x\right) \end{array} \]

FPCore

(FPCore (x)
 :precision binary64
 (fma
  (* x -0.027777777777777776)
  (/ (* x x) (fma (* x x) 0.075 0.16666666666666666))
  x))

C

double code(double x) {
	return fma((x * -0.027777777777777776), ((x * x) / fma((x * x), 0.075, 0.16666666666666666)), x);
}

Julia

function code(x)
	return fma(Float64(x * -0.027777777777777776), Float64(Float64(x * x) / fma(Float64(x * x), 0.075, 0.16666666666666666)), x)
end

Wolfram

code[x_] := N[(N[(x * -0.027777777777777776), $MachinePrecision] * N[(N[(x * x), $MachinePrecision] / N[(N[(x * x), $MachinePrecision] * 0.075 + 0.16666666666666666), $MachinePrecision]), $MachinePrecision] + x), $MachinePrecision]

Derivation

1. Initial program 16.3%

   \[\log \left(x + \sqrt{x \cdot x + 1}\right) \]
2. Add Preprocessing

3. Taylor expanded in x around 0

   \[\leadsto \color{blue}{x \cdot \left(1 + {x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right)} \]
4. Step-by-step derivation

   1. *-commutative N/A

      \[\leadsto \color{blue}{\left(1 + {x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right) \cdot x} \]

   2. +-commutative N/A

      \[\leadsto \color{blue}{\left({x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right) + 1\right)} \cdot x \]

   3. distribute-lft1-in N/A

      \[\leadsto \color{blue}{\left({x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right) \cdot x + x} \]

   4. *-commutative N/A

      \[\leadsto \color{blue}{x \cdot \left({x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right)} + x \]

   5. associate-*r* N/A

      \[\leadsto \color{blue}{\left(x \cdot {x}^{2}\right) \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)} + x \]

   6. *-commutative N/A

      \[\leadsto \color{blue}{\left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right) \cdot \left(x \cdot {x}^{2}\right)} + x \]

   7. lower-fma.f64 N/A

      \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}, x \cdot {x}^{2}, x\right)} \]

   8. sub-neg N/A

      \[\leadsto \mathsf{fma}\left(\color{blue}{\frac{3}{40} \cdot {x}^{2} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right)}, x \cdot {x}^{2}, x\right) \]

   9. unpow2 N/A

      \[\leadsto \mathsf{fma}\left(\frac{3}{40} \cdot \color{blue}{\left(x \cdot x\right)} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right), x \cdot {x}^{2}, x\right) \]

   10. associate-*r* N/A

       \[\leadsto \mathsf{fma}\left(\color{blue}{\left(\frac{3}{40} \cdot x\right) \cdot x} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right), x \cdot {x}^{2}, x\right) \]

   11. *-commutative N/A

       \[\leadsto \mathsf{fma}\left(\color{blue}{x \cdot \left(\frac{3}{40} \cdot x\right)} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right), x \cdot {x}^{2}, x\right) \]

   12. metadata-eval N/A

       \[\leadsto \mathsf{fma}\left(x \cdot \left(\frac{3}{40} \cdot x\right) + \color{blue}{\frac{-1}{6}}, x \cdot {x}^{2}, x\right) \]

   13. lower-fma.f64 N/A

       \[\leadsto \mathsf{fma}\left(\color{blue}{\mathsf{fma}\left(x, \frac{3}{40} \cdot x, \frac{-1}{6}\right)}, x \cdot {x}^{2}, x\right) \]

   14. *-commutative N/A

       \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, \color{blue}{x \cdot \frac{3}{40}}, \frac{-1}{6}\right), x \cdot {x}^{2}, x\right) \]

   15. lower-*.f64 N/A

       \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, \color{blue}{x \cdot \frac{3}{40}}, \frac{-1}{6}\right), x \cdot {x}^{2}, x\right) \]

   16. lower-*.f64 N/A

       \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right), \color{blue}{x \cdot {x}^{2}}, x\right) \]

   17. unpow2 N/A

       \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right), x \cdot \color{blue}{\left(x \cdot x\right)}, x\right) \]

   18. lower-*.f64 53.9

       \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right), x \cdot \color{blue}{\left(x \cdot x\right)}, x\right) \]

5. Applied rewrites 53.9%

   \[\leadsto \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right), x \cdot \left(x \cdot x\right), x\right)} \]
6. Step-by-step derivation

   1. lift-*.f64 N/A

      \[\leadsto \left(x \cdot \color{blue}{\left(x \cdot \frac{3}{40}\right)} + \frac{-1}{6}\right) \cdot \left(x \cdot \left(x \cdot x\right)\right) + x \]

   2. lift-fma.f64 N/A

      \[\leadsto \color{blue}{\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right)} \cdot \left(x \cdot \left(x \cdot x\right)\right) + x \]

   3. lift-*.f64 N/A

      \[\leadsto \mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot \left(x \cdot \color{blue}{\left(x \cdot x\right)}\right) + x \]

   4. lift-*.f64 N/A

      \[\leadsto \mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot \color{blue}{\left(x \cdot \left(x \cdot x\right)\right)} + x \]

   5. lift-fma.f64 N/A

      \[\leadsto \color{blue}{\left(x \cdot \left(x \cdot \frac{3}{40}\right) + \frac{-1}{6}\right)} \cdot \left(x \cdot \left(x \cdot x\right)\right) + x \]

   6. flip-+ N/A

      \[\leadsto \color{blue}{\frac{\left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) \cdot \left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) - \frac{-1}{6} \cdot \frac{-1}{6}}{x \cdot \left(x \cdot \frac{3}{40}\right) - \frac{-1}{6}}} \cdot \left(x \cdot \left(x \cdot x\right)\right) + x \]

   7. associate-*l/ N/A

      \[\leadsto \color{blue}{\frac{\left(\left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) \cdot \left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) - \frac{-1}{6} \cdot \frac{-1}{6}\right) \cdot \left(x \cdot \left(x \cdot x\right)\right)}{x \cdot \left(x \cdot \frac{3}{40}\right) - \frac{-1}{6}}} + x \]

   8. div-inv N/A

      \[\leadsto \color{blue}{\left(\left(\left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) \cdot \left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) - \frac{-1}{6} \cdot \frac{-1}{6}\right) \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot \frac{1}{x \cdot \left(x \cdot \frac{3}{40}\right) - \frac{-1}{6}}} + x \]

   9. lower-fma.f64 N/A

      \[\leadsto \color{blue}{\mathsf{fma}\left(\left(\left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) \cdot \left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) - \frac{-1}{6} \cdot \frac{-1}{6}\right) \cdot \left(x \cdot \left(x \cdot x\right)\right), \frac{1}{x \cdot \left(x \cdot \frac{3}{40}\right) - \frac{-1}{6}}, x\right)} \]

7. Applied rewrites 53.2%

   \[\leadsto \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(x \cdot \left(x \cdot \left(x \cdot x\right)\right), 0.005625, -0.027777777777777776\right) \cdot \left(x \cdot \left(x \cdot x\right)\right), \frac{1}{\mathsf{fma}\left(0.075, x \cdot x, 0.16666666666666666\right)}, x\right)} \]

8. Taylor expanded in x around 0

   \[\leadsto \mathsf{fma}\left(\color{blue}{\frac{-1}{36}} \cdot \left(x \cdot \left(x \cdot x\right)\right), \frac{1}{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}, x\right) \]
9. Step-by-step derivation

10. Applied rewrites 53.7%

    \[\leadsto \mathsf{fma}\left(\color{blue}{-0.027777777777777776} \cdot \left(x \cdot \left(x \cdot x\right)\right), \frac{1}{\mathsf{fma}\left(0.075, x \cdot x, 0.16666666666666666\right)}, x\right) \]
11. Step-by-step derivation

    1. lift-*.f64 N/A

       \[\leadsto \left(\frac{-1}{36} \cdot \left(x \cdot \color{blue}{\left(x \cdot x\right)}\right)\right) \cdot \frac{1}{\frac{3}{40} \cdot \left(x \cdot x\right) + \frac{1}{6}} + x \]

    2. lift-*.f64 N/A

       \[\leadsto \left(\frac{-1}{36} \cdot \color{blue}{\left(x \cdot \left(x \cdot x\right)\right)}\right) \cdot \frac{1}{\frac{3}{40} \cdot \left(x \cdot x\right) + \frac{1}{6}} + x \]

    3. lift-*.f64 N/A

       \[\leadsto \color{blue}{\left(\frac{-1}{36} \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)} \cdot \frac{1}{\frac{3}{40} \cdot \left(x \cdot x\right) + \frac{1}{6}} + x \]

    4. lift-*.f64 N/A

       \[\leadsto \left(\frac{-1}{36} \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot \frac{1}{\frac{3}{40} \cdot \color{blue}{\left(x \cdot x\right)} + \frac{1}{6}} + x \]

    5. lift-fma.f64 N/A

       \[\leadsto \left(\frac{-1}{36} \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot \frac{1}{\color{blue}{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}} + x \]

    6. /-rgt-identity N/A

       \[\leadsto \left(\frac{-1}{36} \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot \frac{1}{\color{blue}{\frac{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}{1}}} + x \]

    7. un-div-inv N/A

       \[\leadsto \color{blue}{\frac{\frac{-1}{36} \cdot \left(x \cdot \left(x \cdot x\right)\right)}{\frac{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}{1}}} + x \]

    8. lift-*.f64 N/A

       \[\leadsto \frac{\color{blue}{\frac{-1}{36} \cdot \left(x \cdot \left(x \cdot x\right)\right)}}{\frac{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}{1}} + x \]

    9. lift-*.f64 N/A

       \[\leadsto \frac{\frac{-1}{36} \cdot \color{blue}{\left(x \cdot \left(x \cdot x\right)\right)}}{\frac{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}{1}} + x \]

    10. associate-*r* N/A

        \[\leadsto \frac{\color{blue}{\left(\frac{-1}{36} \cdot x\right) \cdot \left(x \cdot x\right)}}{\frac{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}{1}} + x \]

    11. /-rgt-identity N/A

        \[\leadsto \frac{\left(\frac{-1}{36} \cdot x\right) \cdot \left(x \cdot x\right)}{\color{blue}{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}} + x \]

    12. associate-/l* N/A

        \[\leadsto \color{blue}{\left(\frac{-1}{36} \cdot x\right) \cdot \frac{x \cdot x}{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}} + x \]

    13. lower-fma.f64 N/A

        \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{-1}{36} \cdot x, \frac{x \cdot x}{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}, x\right)} \]

12. Applied rewrites 54.0%

    \[\leadsto \color{blue}{\mathsf{fma}\left(x \cdot -0.027777777777777776, \frac{x \cdot x}{\mathsf{fma}\left(x \cdot x, 0.075, 0.16666666666666666\right)}, x\right)} \]
13. Add Preprocessing

Alternative 8: 51.7% accurate, 4.4× speedup

Math

\[\begin{array}{l} \\ \mathsf{fma}\left(x \cdot \left(x \cdot \mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right)\right), x, x\right) \end{array} \]

FPCore

(FPCore (x)
 :precision binary64
 (fma (* x (* x (fma x (* x 0.075) -0.16666666666666666))) x x))

C

double code(double x) {
	return fma((x * (x * fma(x, (x * 0.075), -0.16666666666666666))), x, x);
}

Julia

function code(x)
	return fma(Float64(x * Float64(x * fma(x, Float64(x * 0.075), -0.16666666666666666))), x, x)
end

Wolfram

code[x_] := N[(N[(x * N[(x * N[(x * N[(x * 0.075), $MachinePrecision] + -0.16666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * x + x), $MachinePrecision]

Derivation

1. Initial program 16.3%

   \[\log \left(x + \sqrt{x \cdot x + 1}\right) \]
2. Add Preprocessing

3. Taylor expanded in x around 0

   \[\leadsto \color{blue}{x \cdot \left(1 + {x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right)} \]
4. Step-by-step derivation

   1. *-commutative N/A

      \[\leadsto \color{blue}{\left(1 + {x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right) \cdot x} \]

   2. +-commutative N/A

      \[\leadsto \color{blue}{\left({x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right) + 1\right)} \cdot x \]

   3. distribute-lft1-in N/A

      \[\leadsto \color{blue}{\left({x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right) \cdot x + x} \]

   4. *-commutative N/A

      \[\leadsto \color{blue}{x \cdot \left({x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right)} + x \]

   5. associate-*r* N/A

      \[\leadsto \color{blue}{\left(x \cdot {x}^{2}\right) \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)} + x \]

   6. *-commutative N/A

      \[\leadsto \color{blue}{\left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right) \cdot \left(x \cdot {x}^{2}\right)} + x \]

   7. lower-fma.f64 N/A

      \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}, x \cdot {x}^{2}, x\right)} \]

   8. sub-neg N/A

      \[\leadsto \mathsf{fma}\left(\color{blue}{\frac{3}{40} \cdot {x}^{2} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right)}, x \cdot {x}^{2}, x\right) \]

   9. unpow2 N/A

      \[\leadsto \mathsf{fma}\left(\frac{3}{40} \cdot \color{blue}{\left(x \cdot x\right)} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right), x \cdot {x}^{2}, x\right) \]

   10. associate-*r* N/A

       \[\leadsto \mathsf{fma}\left(\color{blue}{\left(\frac{3}{40} \cdot x\right) \cdot x} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right), x \cdot {x}^{2}, x\right) \]

   11. *-commutative N/A

       \[\leadsto \mathsf{fma}\left(\color{blue}{x \cdot \left(\frac{3}{40} \cdot x\right)} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right), x \cdot {x}^{2}, x\right) \]

   12. metadata-eval N/A

       \[\leadsto \mathsf{fma}\left(x \cdot \left(\frac{3}{40} \cdot x\right) + \color{blue}{\frac{-1}{6}}, x \cdot {x}^{2}, x\right) \]

   13. lower-fma.f64 N/A

       \[\leadsto \mathsf{fma}\left(\color{blue}{\mathsf{fma}\left(x, \frac{3}{40} \cdot x, \frac{-1}{6}\right)}, x \cdot {x}^{2}, x\right) \]

   14. *-commutative N/A

       \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, \color{blue}{x \cdot \frac{3}{40}}, \frac{-1}{6}\right), x \cdot {x}^{2}, x\right) \]

   15. lower-*.f64 N/A

       \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, \color{blue}{x \cdot \frac{3}{40}}, \frac{-1}{6}\right), x \cdot {x}^{2}, x\right) \]

   16. lower-*.f64 N/A

       \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right), \color{blue}{x \cdot {x}^{2}}, x\right) \]

   17. unpow2 N/A

       \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right), x \cdot \color{blue}{\left(x \cdot x\right)}, x\right) \]

   18. lower-*.f64 53.9

       \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right), x \cdot \color{blue}{\left(x \cdot x\right)}, x\right) \]

5. Applied rewrites 53.9%

   \[\leadsto \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right), x \cdot \left(x \cdot x\right), x\right)} \]
6. Step-by-step derivation

   1. lift-*.f64 N/A

      \[\leadsto \left(x \cdot \color{blue}{\left(x \cdot \frac{3}{40}\right)} + \frac{-1}{6}\right) \cdot \left(x \cdot \left(x \cdot x\right)\right) + x \]

   2. lift-fma.f64 N/A

      \[\leadsto \color{blue}{\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right)} \cdot \left(x \cdot \left(x \cdot x\right)\right) + x \]

   3. lift-*.f64 N/A

      \[\leadsto \mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot \left(x \cdot \color{blue}{\left(x \cdot x\right)}\right) + x \]

   4. lift-*.f64 N/A

      \[\leadsto \mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot \color{blue}{\left(x \cdot \left(x \cdot x\right)\right)} + x \]

   5. lift-*.f64 N/A

      \[\leadsto \mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot \color{blue}{\left(x \cdot \left(x \cdot x\right)\right)} + x \]

   6. associate-*r* N/A

      \[\leadsto \color{blue}{\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot x\right) \cdot \left(x \cdot x\right)} + x \]

   7. lift-*.f64 N/A

      \[\leadsto \left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot x\right) \cdot \color{blue}{\left(x \cdot x\right)} + x \]

   8. associate-*r* N/A

      \[\leadsto \color{blue}{\left(\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot x\right) \cdot x\right) \cdot x} + x \]

   9. lower-fma.f64 N/A

      \[\leadsto \color{blue}{\mathsf{fma}\left(\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot x\right) \cdot x, x, x\right)} \]

   10. lower-*.f64 N/A

       \[\leadsto \mathsf{fma}\left(\color{blue}{\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot x\right) \cdot x}, x, x\right) \]

   11. *-commutative N/A

       \[\leadsto \mathsf{fma}\left(\color{blue}{\left(x \cdot \mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right)\right)} \cdot x, x, x\right) \]

   12. lower-*.f64 53.9

       \[\leadsto \mathsf{fma}\left(\color{blue}{\left(x \cdot \mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right)\right)} \cdot x, x, x\right) \]

7. Applied rewrites 53.9%

   \[\leadsto \color{blue}{\mathsf{fma}\left(\left(x \cdot \mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right)\right) \cdot x, x, x\right)} \]

8. Final simplification 53.9%

   \[\leadsto \mathsf{fma}\left(x \cdot \left(x \cdot \mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right)\right), x, x\right) \]
9. Add Preprocessing

Alternative 9: 51.4% accurate, 4.5× speedup

Math

\[\begin{array}{l} \\ \mathsf{fma}\left(\left(x \cdot x\right) \cdot 0.075, x \cdot \left(x \cdot x\right), x\right) \end{array} \]

FPCore

(FPCore (x) :precision binary64 (fma (* (* x x) 0.075) (* x (* x x)) x))

C

double code(double x) {
	return fma(((x * x) * 0.075), (x * (x * x)), x);
}

Julia

function code(x)
	return fma(Float64(Float64(x * x) * 0.075), Float64(x * Float64(x * x)), x)
end

Wolfram

code[x_] := N[(N[(N[(x * x), $MachinePrecision] * 0.075), $MachinePrecision] * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision] + x), $MachinePrecision]

Derivation

1. Initial program 16.3%

   \[\log \left(x + \sqrt{x \cdot x + 1}\right) \]
2. Add Preprocessing

3. Taylor expanded in x around 0

   \[\leadsto \color{blue}{x \cdot \left(1 + {x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right)} \]
4. Step-by-step derivation

   1. *-commutative N/A

      \[\leadsto \color{blue}{\left(1 + {x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right) \cdot x} \]

   2. +-commutative N/A

      \[\leadsto \color{blue}{\left({x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right) + 1\right)} \cdot x \]

   3. distribute-lft1-in N/A

      \[\leadsto \color{blue}{\left({x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right) \cdot x + x} \]

   4. *-commutative N/A

      \[\leadsto \color{blue}{x \cdot \left({x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right)} + x \]

   5. associate-*r* N/A

      \[\leadsto \color{blue}{\left(x \cdot {x}^{2}\right) \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)} + x \]

   6. *-commutative N/A

      \[\leadsto \color{blue}{\left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right) \cdot \left(x \cdot {x}^{2}\right)} + x \]

   7. lower-fma.f64 N/A

      \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}, x \cdot {x}^{2}, x\right)} \]

   8. sub-neg N/A

      \[\leadsto \mathsf{fma}\left(\color{blue}{\frac{3}{40} \cdot {x}^{2} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right)}, x \cdot {x}^{2}, x\right) \]

   9. unpow2 N/A

      \[\leadsto \mathsf{fma}\left(\frac{3}{40} \cdot \color{blue}{\left(x \cdot x\right)} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right), x \cdot {x}^{2}, x\right) \]

   10. associate-*r* N/A

       \[\leadsto \mathsf{fma}\left(\color{blue}{\left(\frac{3}{40} \cdot x\right) \cdot x} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right), x \cdot {x}^{2}, x\right) \]

   11. *-commutative N/A

       \[\leadsto \mathsf{fma}\left(\color{blue}{x \cdot \left(\frac{3}{40} \cdot x\right)} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right), x \cdot {x}^{2}, x\right) \]

   12. metadata-eval N/A

       \[\leadsto \mathsf{fma}\left(x \cdot \left(\frac{3}{40} \cdot x\right) + \color{blue}{\frac{-1}{6}}, x \cdot {x}^{2}, x\right) \]

   13. lower-fma.f64 N/A

       \[\leadsto \mathsf{fma}\left(\color{blue}{\mathsf{fma}\left(x, \frac{3}{40} \cdot x, \frac{-1}{6}\right)}, x \cdot {x}^{2}, x\right) \]

   14. *-commutative N/A

       \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, \color{blue}{x \cdot \frac{3}{40}}, \frac{-1}{6}\right), x \cdot {x}^{2}, x\right) \]

   15. lower-*.f64 N/A

       \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, \color{blue}{x \cdot \frac{3}{40}}, \frac{-1}{6}\right), x \cdot {x}^{2}, x\right) \]

   16. lower-*.f64 N/A

       \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right), \color{blue}{x \cdot {x}^{2}}, x\right) \]

   17. unpow2 N/A

       \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right), x \cdot \color{blue}{\left(x \cdot x\right)}, x\right) \]

   18. lower-*.f64 53.9

       \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right), x \cdot \color{blue}{\left(x \cdot x\right)}, x\right) \]

5. Applied rewrites 53.9%

   \[\leadsto \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right), x \cdot \left(x \cdot x\right), x\right)} \]

6. Taylor expanded in x around inf

   \[\leadsto \mathsf{fma}\left(\color{blue}{\frac{3}{40} \cdot {x}^{2}}, x \cdot \left(x \cdot x\right), x\right) \]
7. Step-by-step derivation

   1. *-commutative N/A

      \[\leadsto \mathsf{fma}\left(\color{blue}{{x}^{2} \cdot \frac{3}{40}}, x \cdot \left(x \cdot x\right), x\right) \]

   2. lower-*.f64 N/A

      \[\leadsto \mathsf{fma}\left(\color{blue}{{x}^{2} \cdot \frac{3}{40}}, x \cdot \left(x \cdot x\right), x\right) \]

   3. unpow2 N/A

      \[\leadsto \mathsf{fma}\left(\color{blue}{\left(x \cdot x\right)} \cdot \frac{3}{40}, x \cdot \left(x \cdot x\right), x\right) \]

   4. lower-*.f64 53.7

      \[\leadsto \mathsf{fma}\left(\color{blue}{\left(x \cdot x\right)} \cdot 0.075, x \cdot \left(x \cdot x\right), x\right) \]

8. Applied rewrites 53.7%

   \[\leadsto \mathsf{fma}\left(\color{blue}{\left(x \cdot x\right) \cdot 0.075}, x \cdot \left(x \cdot x\right), x\right) \]
9. Add Preprocessing

Alternative 10: 50.9% accurate, 6.8× speedup

Math

\[\begin{array}{l} \\ \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, 0.3333333333333333, -0.5\right), x\right) \end{array} \]

FPCore

(FPCore (x)
 :precision binary64
 (fma (* x x) (fma x 0.3333333333333333 -0.5) x))

C

double code(double x) {
	return fma((x * x), fma(x, 0.3333333333333333, -0.5), x);
}

Julia

function code(x)
	return fma(Float64(x * x), fma(x, 0.3333333333333333, -0.5), x)
end

Wolfram

code[x_] := N[(N[(x * x), $MachinePrecision] * N[(x * 0.3333333333333333 + -0.5), $MachinePrecision] + x), $MachinePrecision]

Derivation

1. Initial program 16.3%

   \[\log \left(x + \sqrt{x \cdot x + 1}\right) \]
2. Add Preprocessing

3. Taylor expanded in x around 0

   \[\leadsto \log \left(x + \color{blue}{1}\right) \]
4. Step-by-step derivation

5. Applied rewrites 11.0%

   \[\leadsto \log \left(x + \color{blue}{1}\right) \]

6. Taylor expanded in x around 0

   \[\leadsto \color{blue}{x \cdot \left(1 + x \cdot \left(\frac{1}{3} \cdot x - \frac{1}{2}\right)\right)} \]
7. Step-by-step derivation

   1. +-commutative N/A

      \[\leadsto x \cdot \color{blue}{\left(x \cdot \left(\frac{1}{3} \cdot x - \frac{1}{2}\right) + 1\right)} \]

   2. distribute-lft-in N/A

      \[\leadsto \color{blue}{x \cdot \left(x \cdot \left(\frac{1}{3} \cdot x - \frac{1}{2}\right)\right) + x \cdot 1} \]

   3. associate-*r* N/A

      \[\leadsto \color{blue}{\left(x \cdot x\right) \cdot \left(\frac{1}{3} \cdot x - \frac{1}{2}\right)} + x \cdot 1 \]

   4. unpow2 N/A

      \[\leadsto \color{blue}{{x}^{2}} \cdot \left(\frac{1}{3} \cdot x - \frac{1}{2}\right) + x \cdot 1 \]

   5. *-rgt-identity N/A

      \[\leadsto {x}^{2} \cdot \left(\frac{1}{3} \cdot x - \frac{1}{2}\right) + \color{blue}{x} \]

   6. lower-fma.f64 N/A

      \[\leadsto \color{blue}{\mathsf{fma}\left({x}^{2}, \frac{1}{3} \cdot x - \frac{1}{2}, x\right)} \]

   7. unpow2 N/A

      \[\leadsto \mathsf{fma}\left(\color{blue}{x \cdot x}, \frac{1}{3} \cdot x - \frac{1}{2}, x\right) \]

   8. lower-*.f64 N/A

      \[\leadsto \mathsf{fma}\left(\color{blue}{x \cdot x}, \frac{1}{3} \cdot x - \frac{1}{2}, x\right) \]

   9. sub-neg N/A

      \[\leadsto \mathsf{fma}\left(x \cdot x, \color{blue}{\frac{1}{3} \cdot x + \left(\mathsf{neg}\left(\frac{1}{2}\right)\right)}, x\right) \]

   10. *-commutative N/A

       \[\leadsto \mathsf{fma}\left(x \cdot x, \color{blue}{x \cdot \frac{1}{3}} + \left(\mathsf{neg}\left(\frac{1}{2}\right)\right), x\right) \]

   11. metadata-eval N/A

       \[\leadsto \mathsf{fma}\left(x \cdot x, x \cdot \frac{1}{3} + \color{blue}{\frac{-1}{2}}, x\right) \]

   12. lower-fma.f64 53.3

       \[\leadsto \mathsf{fma}\left(x \cdot x, \color{blue}{\mathsf{fma}\left(x, 0.3333333333333333, -0.5\right)}, x\right) \]

8. Applied rewrites 53.3%

   \[\leadsto \color{blue}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, 0.3333333333333333, -0.5\right), x\right)} \]
9. Add Preprocessing

Alternative 11: 50.3% accurate, 10.2× speedup

Math

\[\begin{array}{l} \\ \mathsf{fma}\left(x, x \cdot -0.5, x\right) \end{array} \]

FPCore

(FPCore (x) :precision binary64 (fma x (* x -0.5) x))

C

double code(double x) {
	return fma(x, (x * -0.5), x);
}

Julia

function code(x)
	return fma(x, Float64(x * -0.5), x)
end

Wolfram

code[x_] := N[(x * N[(x * -0.5), $MachinePrecision] + x), $MachinePrecision]

Derivation

1. Initial program 16.3%

   \[\log \left(x + \sqrt{x \cdot x + 1}\right) \]
2. Add Preprocessing

3. Taylor expanded in x around 0

   \[\leadsto \log \left(x + \color{blue}{1}\right) \]
4. Step-by-step derivation

5. Applied rewrites 11.0%

   \[\leadsto \log \left(x + \color{blue}{1}\right) \]

6. Taylor expanded in x around 0

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

   1. +-commutative N/A

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

   2. distribute-lft-in N/A

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

   3. *-rgt-identity N/A

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

   4. lower-fma.f64 N/A

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

   5. *-commutative N/A

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

   6. lower-*.f64 52.6

      \[\leadsto \mathsf{fma}\left(x, \color{blue}{x \cdot -0.5}, x\right) \]

8. Applied rewrites 52.6%

   \[\leadsto \color{blue}{\mathsf{fma}\left(x, x \cdot -0.5, x\right)} \]
9. Add Preprocessing

Alternative 12: 50.3% accurate, 10.2× speedup

Math

\[\begin{array}{l} \\ x \cdot \mathsf{fma}\left(x, -0.5, 1\right) \end{array} \]

FPCore

(FPCore (x) :precision binary64 (* x (fma x -0.5 1.0)))

C

double code(double x) {
	return x * fma(x, -0.5, 1.0);
}

Julia

function code(x)
	return Float64(x * fma(x, -0.5, 1.0))
end

Wolfram

code[x_] := N[(x * N[(x * -0.5 + 1.0), $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 16.3%

   \[\log \left(x + \sqrt{x \cdot x + 1}\right) \]
2. Add Preprocessing

3. Taylor expanded in x around 0

   \[\leadsto \log \left(x + \color{blue}{1}\right) \]
4. Step-by-step derivation

5. Applied rewrites 11.0%

   \[\leadsto \log \left(x + \color{blue}{1}\right) \]

6. Taylor expanded in x around 0

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

   1. +-commutative N/A

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

   2. distribute-lft-in N/A

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

   3. *-rgt-identity N/A

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

   4. lower-fma.f64 N/A

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

   5. *-commutative N/A

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

   6. lower-*.f64 52.6

      \[\leadsto \mathsf{fma}\left(x, \color{blue}{x \cdot -0.5}, x\right) \]

8. Applied rewrites 52.6%

   \[\leadsto \color{blue}{\mathsf{fma}\left(x, x \cdot -0.5, x\right)} \]
9. Step-by-step derivation

   1. lift-*.f64 N/A

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

   2. *-commutative N/A

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

   3. distribute-lft1-in N/A

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

   4. lower-*.f64 N/A

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

   5. lift-*.f64 N/A

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

   6. lower-fma.f64 52.6

      \[\leadsto \color{blue}{\mathsf{fma}\left(x, -0.5, 1\right)} \cdot x \]

10. Applied rewrites 52.6%

    \[\leadsto \color{blue}{\mathsf{fma}\left(x, -0.5, 1\right) \cdot x} \]

11. Final simplification 52.6%

    \[\leadsto x \cdot \mathsf{fma}\left(x, -0.5, 1\right) \]
12. Add Preprocessing

Alternative 13: 12.6% accurate, 20.3× speedup

Math

\[\begin{array}{l} \\ x \cdot 0.6296296296296297 \end{array} \]

FPCore

(FPCore (x) :precision binary64 (* x 0.6296296296296297))

C

double code(double x) {
	return x * 0.6296296296296297;
}

Fortran

real(8) function code(x)
    real(8), intent (in) :: x
    code = x * 0.6296296296296297d0
end function

Java

public static double code(double x) {
	return x * 0.6296296296296297;
}

Python

def code(x):
	return x * 0.6296296296296297

Julia

function code(x)
	return Float64(x * 0.6296296296296297)
end

MATLAB

function tmp = code(x)
	tmp = x * 0.6296296296296297;
end

Wolfram

code[x_] := N[(x * 0.6296296296296297), $MachinePrecision]

Derivation

1. Initial program 16.3%

   \[\log \left(x + \sqrt{x \cdot x + 1}\right) \]
2. Add Preprocessing

3. Taylor expanded in x around 0

   \[\leadsto \color{blue}{x \cdot \left(1 + {x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right)} \]
4. Step-by-step derivation

   1. *-commutative N/A

      \[\leadsto \color{blue}{\left(1 + {x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right) \cdot x} \]

   2. +-commutative N/A

      \[\leadsto \color{blue}{\left({x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right) + 1\right)} \cdot x \]

   3. distribute-lft1-in N/A

      \[\leadsto \color{blue}{\left({x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right) \cdot x + x} \]

   4. *-commutative N/A

      \[\leadsto \color{blue}{x \cdot \left({x}^{2} \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)\right)} + x \]

   5. associate-*r* N/A

      \[\leadsto \color{blue}{\left(x \cdot {x}^{2}\right) \cdot \left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right)} + x \]

   6. *-commutative N/A

      \[\leadsto \color{blue}{\left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}\right) \cdot \left(x \cdot {x}^{2}\right)} + x \]

   7. lower-fma.f64 N/A

      \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{3}{40} \cdot {x}^{2} - \frac{1}{6}, x \cdot {x}^{2}, x\right)} \]

   8. sub-neg N/A

      \[\leadsto \mathsf{fma}\left(\color{blue}{\frac{3}{40} \cdot {x}^{2} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right)}, x \cdot {x}^{2}, x\right) \]

   9. unpow2 N/A

      \[\leadsto \mathsf{fma}\left(\frac{3}{40} \cdot \color{blue}{\left(x \cdot x\right)} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right), x \cdot {x}^{2}, x\right) \]

   10. associate-*r* N/A

       \[\leadsto \mathsf{fma}\left(\color{blue}{\left(\frac{3}{40} \cdot x\right) \cdot x} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right), x \cdot {x}^{2}, x\right) \]

   11. *-commutative N/A

       \[\leadsto \mathsf{fma}\left(\color{blue}{x \cdot \left(\frac{3}{40} \cdot x\right)} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right), x \cdot {x}^{2}, x\right) \]

   12. metadata-eval N/A

       \[\leadsto \mathsf{fma}\left(x \cdot \left(\frac{3}{40} \cdot x\right) + \color{blue}{\frac{-1}{6}}, x \cdot {x}^{2}, x\right) \]

   13. lower-fma.f64 N/A

       \[\leadsto \mathsf{fma}\left(\color{blue}{\mathsf{fma}\left(x, \frac{3}{40} \cdot x, \frac{-1}{6}\right)}, x \cdot {x}^{2}, x\right) \]

   14. *-commutative N/A

       \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, \color{blue}{x \cdot \frac{3}{40}}, \frac{-1}{6}\right), x \cdot {x}^{2}, x\right) \]

   15. lower-*.f64 N/A

       \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, \color{blue}{x \cdot \frac{3}{40}}, \frac{-1}{6}\right), x \cdot {x}^{2}, x\right) \]

   16. lower-*.f64 N/A

       \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right), \color{blue}{x \cdot {x}^{2}}, x\right) \]

   17. unpow2 N/A

       \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right), x \cdot \color{blue}{\left(x \cdot x\right)}, x\right) \]

   18. lower-*.f64 53.9

       \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right), x \cdot \color{blue}{\left(x \cdot x\right)}, x\right) \]

5. Applied rewrites 53.9%

   \[\leadsto \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot 0.075, -0.16666666666666666\right), x \cdot \left(x \cdot x\right), x\right)} \]
6. Step-by-step derivation

   1. lift-*.f64 N/A

      \[\leadsto \left(x \cdot \color{blue}{\left(x \cdot \frac{3}{40}\right)} + \frac{-1}{6}\right) \cdot \left(x \cdot \left(x \cdot x\right)\right) + x \]

   2. lift-fma.f64 N/A

      \[\leadsto \color{blue}{\mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right)} \cdot \left(x \cdot \left(x \cdot x\right)\right) + x \]

   3. lift-*.f64 N/A

      \[\leadsto \mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot \left(x \cdot \color{blue}{\left(x \cdot x\right)}\right) + x \]

   4. lift-*.f64 N/A

      \[\leadsto \mathsf{fma}\left(x, x \cdot \frac{3}{40}, \frac{-1}{6}\right) \cdot \color{blue}{\left(x \cdot \left(x \cdot x\right)\right)} + x \]

   5. lift-fma.f64 N/A

      \[\leadsto \color{blue}{\left(x \cdot \left(x \cdot \frac{3}{40}\right) + \frac{-1}{6}\right)} \cdot \left(x \cdot \left(x \cdot x\right)\right) + x \]

   6. flip-+ N/A

      \[\leadsto \color{blue}{\frac{\left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) \cdot \left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) - \frac{-1}{6} \cdot \frac{-1}{6}}{x \cdot \left(x \cdot \frac{3}{40}\right) - \frac{-1}{6}}} \cdot \left(x \cdot \left(x \cdot x\right)\right) + x \]

   7. associate-*l/ N/A

      \[\leadsto \color{blue}{\frac{\left(\left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) \cdot \left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) - \frac{-1}{6} \cdot \frac{-1}{6}\right) \cdot \left(x \cdot \left(x \cdot x\right)\right)}{x \cdot \left(x \cdot \frac{3}{40}\right) - \frac{-1}{6}}} + x \]

   8. div-inv N/A

      \[\leadsto \color{blue}{\left(\left(\left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) \cdot \left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) - \frac{-1}{6} \cdot \frac{-1}{6}\right) \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot \frac{1}{x \cdot \left(x \cdot \frac{3}{40}\right) - \frac{-1}{6}}} + x \]

   9. lower-fma.f64 N/A

      \[\leadsto \color{blue}{\mathsf{fma}\left(\left(\left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) \cdot \left(x \cdot \left(x \cdot \frac{3}{40}\right)\right) - \frac{-1}{6} \cdot \frac{-1}{6}\right) \cdot \left(x \cdot \left(x \cdot x\right)\right), \frac{1}{x \cdot \left(x \cdot \frac{3}{40}\right) - \frac{-1}{6}}, x\right)} \]

7. Applied rewrites 53.2%

   \[\leadsto \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(x \cdot \left(x \cdot \left(x \cdot x\right)\right), 0.005625, -0.027777777777777776\right) \cdot \left(x \cdot \left(x \cdot x\right)\right), \frac{1}{\mathsf{fma}\left(0.075, x \cdot x, 0.16666666666666666\right)}, x\right)} \]

8. Taylor expanded in x around 0

   \[\leadsto \mathsf{fma}\left(\color{blue}{\frac{-1}{36}} \cdot \left(x \cdot \left(x \cdot x\right)\right), \frac{1}{\mathsf{fma}\left(\frac{3}{40}, x \cdot x, \frac{1}{6}\right)}, x\right) \]
9. Step-by-step derivation

10. Applied rewrites 53.7%

    \[\leadsto \mathsf{fma}\left(\color{blue}{-0.027777777777777776} \cdot \left(x \cdot \left(x \cdot x\right)\right), \frac{1}{\mathsf{fma}\left(0.075, x \cdot x, 0.16666666666666666\right)}, x\right) \]

11. Taylor expanded in x around inf

    \[\leadsto \color{blue}{\frac{17}{27} \cdot x} \]
12. Step-by-step derivation

    1. *-commutative N/A

       \[\leadsto \color{blue}{x \cdot \frac{17}{27}} \]

    2. lower-*.f64 13.2

       \[\leadsto \color{blue}{x \cdot 0.6296296296296297} \]

13. Applied rewrites 13.2%

    \[\leadsto \color{blue}{x \cdot 0.6296296296296297} \]
14. Add Preprocessing

Developer Target 1: 30.1% accurate, 0.9× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt{x \cdot x + 1}\\ \mathbf{if}\;x < 0:\\ \;\;\;\;\log \left(\frac{-1}{x - t\_0}\right)\\ \mathbf{else}:\\ \;\;\;\;\log \left(x + t\_0\right)\\ \end{array} \end{array} \]

FPCore

(FPCore (x)
 :precision binary64
 (let* ((t_0 (sqrt (+ (* x x) 1.0))))
   (if (< x 0.0) (log (/ -1.0 (- x t_0))) (log (+ x t_0)))))

C

double code(double x) {
	double t_0 = sqrt(((x * x) + 1.0));
	double tmp;
	if (x < 0.0) {
		tmp = log((-1.0 / (x - t_0)));
	} else {
		tmp = log((x + t_0));
	}
	return tmp;
}

Fortran

real(8) function code(x)
    real(8), intent (in) :: x
    real(8) :: t_0
    real(8) :: tmp
    t_0 = sqrt(((x * x) + 1.0d0))
    if (x < 0.0d0) then
        tmp = log(((-1.0d0) / (x - t_0)))
    else
        tmp = log((x + t_0))
    end if
    code = tmp
end function

Java

public static double code(double x) {
	double t_0 = Math.sqrt(((x * x) + 1.0));
	double tmp;
	if (x < 0.0) {
		tmp = Math.log((-1.0 / (x - t_0)));
	} else {
		tmp = Math.log((x + t_0));
	}
	return tmp;
}

Python

def code(x):
	t_0 = math.sqrt(((x * x) + 1.0))
	tmp = 0
	if x < 0.0:
		tmp = math.log((-1.0 / (x - t_0)))
	else:
		tmp = math.log((x + t_0))
	return tmp

Julia

function code(x)
	t_0 = sqrt(Float64(Float64(x * x) + 1.0))
	tmp = 0.0
	if (x < 0.0)
		tmp = log(Float64(-1.0 / Float64(x - t_0)));
	else
		tmp = log(Float64(x + t_0));
	end
	return tmp
end

MATLAB

function tmp_2 = code(x)
	t_0 = sqrt(((x * x) + 1.0));
	tmp = 0.0;
	if (x < 0.0)
		tmp = log((-1.0 / (x - t_0)));
	else
		tmp = log((x + t_0));
	end
	tmp_2 = tmp;
end

Wolfram

code[x_] := Block[{t$95$0 = N[Sqrt[N[(N[(x * x), $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision]}, If[Less[x, 0.0], N[Log[N[(-1.0 / N[(x - t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], N[Log[N[(x + t$95$0), $MachinePrecision]], $MachinePrecision]]]

Reproduce

herbie shell --seed 2024219 
(FPCore (x)
  :name "Hyperbolic arcsine"
  :precision binary64

  :alt
  (! :herbie-platform default (if (< x 0) (log (/ -1 (- x (sqrt (+ (* x x) 1))))) (log (+ x (sqrt (+ (* x x) 1))))))

  (log (+ x (sqrt (+ (* x x) 1.0)))))