Average Error: 5.9 → 3.5
Time: 1.3min
Precision: binary64
Cost: 1409
\[x \cdot x - \left(y \cdot 4\right) \cdot \left(z \cdot z - t\right)\]
\[\begin{array}{l} \mathbf{if}\;z \cdot z \leq 2.903708766094026 \cdot 10^{+292}:\\ \;\;\;\;x \cdot x - \left(y \cdot 4\right) \cdot \left(z \cdot z - t\right)\\ \mathbf{else}:\\ \;\;\;\;x \cdot x - \left(\left(y \cdot 4\right) \cdot \left(z + \sqrt{t}\right)\right) \cdot \left(z - \sqrt{t}\right)\\ \end{array}\]
x \cdot x - \left(y \cdot 4\right) \cdot \left(z \cdot z - t\right)
\begin{array}{l}
\mathbf{if}\;z \cdot z \leq 2.903708766094026 \cdot 10^{+292}:\\
\;\;\;\;x \cdot x - \left(y \cdot 4\right) \cdot \left(z \cdot z - t\right)\\

\mathbf{else}:\\
\;\;\;\;x \cdot x - \left(\left(y \cdot 4\right) \cdot \left(z + \sqrt{t}\right)\right) \cdot \left(z - \sqrt{t}\right)\\

\end{array}
(FPCore (x y z t) :precision binary64 (- (* x x) (* (* y 4.0) (- (* z z) t))))
(FPCore (x y z t)
 :precision binary64
 (if (<= (* z z) 2.903708766094026e+292)
   (- (* x x) (* (* y 4.0) (- (* z z) t)))
   (- (* x x) (* (* (* y 4.0) (+ z (sqrt t))) (- z (sqrt t))))))
double code(double x, double y, double z, double t) {
	return (x * x) - ((y * 4.0) * ((z * z) - t));
}
double code(double x, double y, double z, double t) {
	double tmp;
	if ((z * z) <= 2.903708766094026e+292) {
		tmp = (x * x) - ((y * 4.0) * ((z * z) - t));
	} else {
		tmp = (x * x) - (((y * 4.0) * (z + sqrt(t))) * (z - sqrt(t)));
	}
	return tmp;
}

Error

Bits error versus x

Bits error versus y

Bits error versus z

Bits error versus t

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original5.9
Target5.9
Herbie3.5
\[x \cdot x - 4 \cdot \left(y \cdot \left(z \cdot z - t\right)\right)\]
Alternative 1
Accuracy5.9
Cost832
\[x \cdot x - \left(y \cdot 4\right) \cdot \left(z \cdot z - t\right)\]

Derivation

  1. Split input into 2 regimes
  2. if (*.f64 z z) < 2.90370876609402618e292

    1. Initial program 0.1

      \[x \cdot x - \left(y \cdot 4\right) \cdot \left(z \cdot z - t\right)\]
    2. Using strategy rm
    3. Applied sub-neg_binary64_167800.1

      \[\leadsto x \cdot x - \left(y \cdot 4\right) \cdot \color{blue}{\left(z \cdot z + \left(-t\right)\right)}\]
    4. Using strategy rm
    5. Applied *-un-lft-identity_binary64_167870.1

      \[\leadsto x \cdot x - \color{blue}{1 \cdot \left(\left(y \cdot 4\right) \cdot \left(z \cdot z + \left(-t\right)\right)\right)}\]
    6. Using strategy rm
    7. Applied pow1_binary64_168480.1

      \[\leadsto \color{blue}{{\left(x \cdot x - 1 \cdot \left(\left(y \cdot 4\right) \cdot \left(z \cdot z + \left(-t\right)\right)\right)\right)}^{1}}\]

    if 2.90370876609402618e292 < (*.f64 z z)

    1. Initial program 57.2

      \[x \cdot x - \left(y \cdot 4\right) \cdot \left(z \cdot z - t\right)\]
    2. Using strategy rm
    3. Applied add-sqr-sqrt_binary64_1680961.2

      \[\leadsto x \cdot x - \left(y \cdot 4\right) \cdot \left(z \cdot z - \color{blue}{\sqrt{t} \cdot \sqrt{t}}\right)\]
    4. Applied difference-of-squares_binary64_1675661.2

      \[\leadsto x \cdot x - \left(y \cdot 4\right) \cdot \color{blue}{\left(\left(z + \sqrt{t}\right) \cdot \left(z - \sqrt{t}\right)\right)}\]
    5. Applied associate-*r*_binary64_1672733.6

      \[\leadsto x \cdot x - \color{blue}{\left(\left(y \cdot 4\right) \cdot \left(z + \sqrt{t}\right)\right) \cdot \left(z - \sqrt{t}\right)}\]
  3. Recombined 2 regimes into one program.
  4. Final simplification3.5

    \[\leadsto \begin{array}{l} \mathbf{if}\;z \cdot z \leq 2.903708766094026 \cdot 10^{+292}:\\ \;\;\;\;x \cdot x - \left(y \cdot 4\right) \cdot \left(z \cdot z - t\right)\\ \mathbf{else}:\\ \;\;\;\;x \cdot x - \left(\left(y \cdot 4\right) \cdot \left(z + \sqrt{t}\right)\right) \cdot \left(z - \sqrt{t}\right)\\ \end{array}\]

Reproduce

herbie shell --seed 2020322 
(FPCore (x y z t)
  :name "Graphics.Rasterific.Shading:$sradialGradientWithFocusShader from Rasterific-0.6.1, B"
  :precision binary64

  :herbie-target
  (- (* x x) (* 4.0 (* y (- (* z z) t))))

  (- (* x x) (* (* y 4.0) (- (* z z) t))))