Given's Rotation SVD example

Average Error: 13.5 → 0.2

Time: 5.4s

Precision: binary64

\[10^{-150} < \left|x\right| \land \left|x\right| < 10^{+150}\]

Math

\[\sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)} \]

↓

\[\begin{array}{l} \mathbf{if}\;\frac{x}{\sqrt{p \cdot \left(4 \cdot p\right) + x \cdot x}} \leq -0.5:\\ \;\;\;\;\left|\frac{p}{x}\right|\\ \mathbf{else}:\\ \;\;\;\;\sqrt{e^{\left(3 \cdot \log \left(\mathsf{fma}\left(0.5, \frac{x}{\mathsf{hypot}\left(x, p \cdot 2\right)}, 0.5\right)\right)\right) \cdot 0.3333333333333333}}\\ \end{array} \]

FPCore

(FPCore (p x)
 :precision binary64
 (sqrt (* 0.5 (+ 1.0 (/ x (sqrt (+ (* (* 4.0 p) p) (* x x))))))))

↓

(FPCore (p x)
 :precision binary64
 (if (<= (/ x (sqrt (+ (* p (* 4.0 p)) (* x x)))) -0.5)
   (fabs (/ p x))
   (sqrt
    (exp
     (*
      (* 3.0 (log (fma 0.5 (/ x (hypot x (* p 2.0))) 0.5)))
      0.3333333333333333)))))

C

double code(double p, double x) {
	return sqrt((0.5 * (1.0 + (x / sqrt((((4.0 * p) * p) + (x * x)))))));
}

↓

double code(double p, double x) {
	double tmp;
	if ((x / sqrt(((p * (4.0 * p)) + (x * x)))) <= -0.5) {
		tmp = fabs((p / x));
	} else {
		tmp = sqrt(exp(((3.0 * log(fma(0.5, (x / hypot(x, (p * 2.0))), 0.5))) * 0.3333333333333333)));
	}
	return tmp;
}

Julia

function code(p, x)
	return sqrt(Float64(0.5 * Float64(1.0 + Float64(x / sqrt(Float64(Float64(Float64(4.0 * p) * p) + Float64(x * x)))))))
end

↓

function code(p, x)
	tmp = 0.0
	if (Float64(x / sqrt(Float64(Float64(p * Float64(4.0 * p)) + Float64(x * x)))) <= -0.5)
		tmp = abs(Float64(p / x));
	else
		tmp = sqrt(exp(Float64(Float64(3.0 * log(fma(0.5, Float64(x / hypot(x, Float64(p * 2.0))), 0.5))) * 0.3333333333333333)));
	end
	return tmp
end

Wolfram

code[p_, x_] := N[Sqrt[N[(0.5 * N[(1.0 + N[(x / N[Sqrt[N[(N[(N[(4.0 * p), $MachinePrecision] * p), $MachinePrecision] + N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]

↓

code[p_, x_] := If[LessEqual[N[(x / N[Sqrt[N[(N[(p * N[(4.0 * p), $MachinePrecision]), $MachinePrecision] + N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], -0.5], N[Abs[N[(p / x), $MachinePrecision]], $MachinePrecision], N[Sqrt[N[Exp[N[(N[(3.0 * N[Log[N[(0.5 * N[(x / N[Sqrt[x ^ 2 + N[(p * 2.0), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision] + 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 0.3333333333333333), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]]

Target

Original	13.5
Target	13.5
Herbie	0.2

\[\sqrt{0.5 + \frac{\mathsf{copysign}\left(0.5, x\right)}{\mathsf{hypot}\left(1, \frac{2 \cdot p}{x}\right)}} \]

Derivation

1. Split input into 2 regimes

2. if (/.f64 x (sqrt.f64 (+.f64 (*.f64 (*.f64 4 p) p) (*.f64 x x)))) < -0.5

   1. Initial program 53.3

      \[\sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)} \]

   2. Simplified 53.3

      \[\leadsto \color{blue}{\sqrt{\mathsf{fma}\left(0.5, \frac{x}{\sqrt{\mathsf{fma}\left(x, x, 4 \cdot \left(p \cdot p\right)\right)}}, 0.5\right)}} \]

   3. Taylor expanded in x around -inf 31.3

      \[\leadsto \sqrt{\color{blue}{\frac{{p}^{2}}{{x}^{2}}}} \]

   4. Simplified 23.5

      \[\leadsto \sqrt{\color{blue}{\frac{p}{x} \cdot \frac{p}{x}}} \]

   5. Applied egg-rr 0.6

      \[\leadsto \color{blue}{\left|\frac{p}{x}\right|} \]

   if -0.5 < (/.f64 x (sqrt.f64 (+.f64 (*.f64 (*.f64 4 p) p) (*.f64 x x))))

   1. Initial program 0.0

      \[\sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)} \]

   2. Simplified 0.0

      \[\leadsto \color{blue}{\sqrt{\mathsf{fma}\left(0.5, \frac{x}{\sqrt{\mathsf{fma}\left(x, x, 4 \cdot \left(p \cdot p\right)\right)}}, 0.5\right)}} \]

   3. Applied egg-rr 0.0

      \[\leadsto \sqrt{\color{blue}{e^{\left(3 \cdot \log \left(\mathsf{fma}\left(0.5, \frac{x}{\mathsf{hypot}\left(x, p \cdot 2\right)}, 0.5\right)\right)\right) \cdot 0.3333333333333333}}} \]
3. Recombined 2 regimes into one program.

4. Final simplification 0.2

   \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{x}{\sqrt{p \cdot \left(4 \cdot p\right) + x \cdot x}} \leq -0.5:\\ \;\;\;\;\left|\frac{p}{x}\right|\\ \mathbf{else}:\\ \;\;\;\;\sqrt{e^{\left(3 \cdot \log \left(\mathsf{fma}\left(0.5, \frac{x}{\mathsf{hypot}\left(x, p \cdot 2\right)}, 0.5\right)\right)\right) \cdot 0.3333333333333333}}\\ \end{array} \]

Reproduce

herbie shell --seed 2022210 
(FPCore (p x)
  :name "Given's Rotation SVD example"
  :precision binary64
  :pre (and (< 1e-150 (fabs x)) (< (fabs x) 1e+150))

  :herbie-target
  (sqrt (+ 0.5 (/ (copysign 0.5 x) (hypot 1.0 (/ (* 2.0 p) x)))))

  (sqrt (* 0.5 (+ 1.0 (/ x (sqrt (+ (* (* 4.0 p) p) (* x x))))))))