ENA, Section 1.4, Exercise 4d

Percentage Accurate: 61.7% → 98.8%
Time: 5.2s
Alternatives: 7
Speedup: TODO×

Specification

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\[x - \sqrt{x \cdot x - \varepsilon} \]

Local Percentage Accuracy vs ?

The average percentage accuracy by input value. Horizontal axis shows value of an input variable; the variable is choosen in the title. Vertical axis is accuracy; higher is better. Red represent the original program, while blue represents Herbie's suggestion. These can be toggled with buttons below the plot. The line is an average while dots represent individual samples.

Accuracy vs Speed?

Herbie found 7 alternatives:

AlternativeAccuracySpeedup
The accuracy (vertical axis) and speed (horizontal axis) of each alternatives. Up and to the right is better. The red square shows the initial program, and each blue circle shows an alternative.The line shows the best available speed-accuracy tradeoffs.

Target

Original61.7%
Target99.5%
Herbie98.8%
\[\frac{\varepsilon}{x + \sqrt{x \cdot x - \varepsilon}} \]

Alternative 1?

\[\begin{array}{l} \mathbf{if}\;x - \sqrt{x \cdot x - \varepsilon} \leq -2 \cdot 10^{-154}:\\ \;\;\;\;x - \mathsf{hypot}\left(\sqrt{-\varepsilon}, x\right)\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(0.125, \frac{\varepsilon}{x \cdot x} \cdot \frac{\varepsilon}{x}, \frac{\varepsilon}{x} \cdot 0.5\right)\\ \end{array} \]
Derivation
  1. Split input into 2 regimes
  2. if (-.f64 x (sqrt.f64 (-.f64 (*.f64 x x) eps))) < -1.9999999999999999e-154

    1. Initial program 99.7%

      \[x - \sqrt{x \cdot x - \varepsilon} \]
    2. Step-by-step derivation
      1. sub-neg99.7%

        \[\leadsto x - \sqrt{\color{blue}{x \cdot x + \left(-\varepsilon\right)}} \]
      2. +-commutative99.7%

        \[\leadsto x - \sqrt{\color{blue}{\left(-\varepsilon\right) + x \cdot x}} \]
      3. add-sqr-sqrt99.7%

        \[\leadsto x - \sqrt{\color{blue}{\sqrt{-\varepsilon} \cdot \sqrt{-\varepsilon}} + x \cdot x} \]
      4. hypot-def99.8%

        \[\leadsto x - \color{blue}{\mathsf{hypot}\left(\sqrt{-\varepsilon}, x\right)} \]
    3. Applied egg-rr99.8%

      \[\leadsto x - \color{blue}{\mathsf{hypot}\left(\sqrt{-\varepsilon}, x\right)} \]

    if -1.9999999999999999e-154 < (-.f64 x (sqrt.f64 (-.f64 (*.f64 x x) eps)))

    1. Initial program 8.5%

      \[x - \sqrt{x \cdot x - \varepsilon} \]
    2. Taylor expanded in x around inf 93.6%

      \[\leadsto \color{blue}{0.125 \cdot \frac{{\varepsilon}^{2}}{{x}^{3}} + 0.5 \cdot \frac{\varepsilon}{x}} \]
    3. Step-by-step derivation
      1. fma-def93.6%

        \[\leadsto \color{blue}{\mathsf{fma}\left(0.125, \frac{{\varepsilon}^{2}}{{x}^{3}}, 0.5 \cdot \frac{\varepsilon}{x}\right)} \]
      2. unpow293.6%

        \[\leadsto \mathsf{fma}\left(0.125, \frac{\color{blue}{\varepsilon \cdot \varepsilon}}{{x}^{3}}, 0.5 \cdot \frac{\varepsilon}{x}\right) \]
    4. Simplified93.6%

      \[\leadsto \color{blue}{\mathsf{fma}\left(0.125, \frac{\varepsilon \cdot \varepsilon}{{x}^{3}}, 0.5 \cdot \frac{\varepsilon}{x}\right)} \]
    5. Step-by-step derivation
      1. unpow393.6%

        \[\leadsto \mathsf{fma}\left(0.125, \frac{\varepsilon \cdot \varepsilon}{\color{blue}{\left(x \cdot x\right) \cdot x}}, 0.5 \cdot \frac{\varepsilon}{x}\right) \]
      2. times-frac99.3%

        \[\leadsto \mathsf{fma}\left(0.125, \color{blue}{\frac{\varepsilon}{x \cdot x} \cdot \frac{\varepsilon}{x}}, 0.5 \cdot \frac{\varepsilon}{x}\right) \]
    6. Applied egg-rr99.3%

      \[\leadsto \mathsf{fma}\left(0.125, \color{blue}{\frac{\varepsilon}{x \cdot x} \cdot \frac{\varepsilon}{x}}, 0.5 \cdot \frac{\varepsilon}{x}\right) \]
  3. Recombined 2 regimes into one program.
  4. Final simplification99.5%

    \[\leadsto \begin{array}{l} \mathbf{if}\;x - \sqrt{x \cdot x - \varepsilon} \leq -2 \cdot 10^{-154}:\\ \;\;\;\;x - \mathsf{hypot}\left(\sqrt{-\varepsilon}, x\right)\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(0.125, \frac{\varepsilon}{x \cdot x} \cdot \frac{\varepsilon}{x}, \frac{\varepsilon}{x} \cdot 0.5\right)\\ \end{array} \]

Alternative 2?

\[\begin{array}{l} t_0 := x - \sqrt{x \cdot x - \varepsilon}\\ \mathbf{if}\;t_0 \leq -2 \cdot 10^{-154}:\\ \;\;\;\;t_0\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(0.125, \frac{\varepsilon}{x \cdot x} \cdot \frac{\varepsilon}{x}, \frac{\varepsilon}{x} \cdot 0.5\right)\\ \end{array} \]
Derivation
  1. Split input into 2 regimes
  2. if (-.f64 x (sqrt.f64 (-.f64 (*.f64 x x) eps))) < -1.9999999999999999e-154

    1. Initial program 99.7%

      \[x - \sqrt{x \cdot x - \varepsilon} \]

    if -1.9999999999999999e-154 < (-.f64 x (sqrt.f64 (-.f64 (*.f64 x x) eps)))

    1. Initial program 8.5%

      \[x - \sqrt{x \cdot x - \varepsilon} \]
    2. Taylor expanded in x around inf 93.6%

      \[\leadsto \color{blue}{0.125 \cdot \frac{{\varepsilon}^{2}}{{x}^{3}} + 0.5 \cdot \frac{\varepsilon}{x}} \]
    3. Step-by-step derivation
      1. fma-def93.6%

        \[\leadsto \color{blue}{\mathsf{fma}\left(0.125, \frac{{\varepsilon}^{2}}{{x}^{3}}, 0.5 \cdot \frac{\varepsilon}{x}\right)} \]
      2. unpow293.6%

        \[\leadsto \mathsf{fma}\left(0.125, \frac{\color{blue}{\varepsilon \cdot \varepsilon}}{{x}^{3}}, 0.5 \cdot \frac{\varepsilon}{x}\right) \]
    4. Simplified93.6%

      \[\leadsto \color{blue}{\mathsf{fma}\left(0.125, \frac{\varepsilon \cdot \varepsilon}{{x}^{3}}, 0.5 \cdot \frac{\varepsilon}{x}\right)} \]
    5. Step-by-step derivation
      1. unpow393.6%

        \[\leadsto \mathsf{fma}\left(0.125, \frac{\varepsilon \cdot \varepsilon}{\color{blue}{\left(x \cdot x\right) \cdot x}}, 0.5 \cdot \frac{\varepsilon}{x}\right) \]
      2. times-frac99.3%

        \[\leadsto \mathsf{fma}\left(0.125, \color{blue}{\frac{\varepsilon}{x \cdot x} \cdot \frac{\varepsilon}{x}}, 0.5 \cdot \frac{\varepsilon}{x}\right) \]
    6. Applied egg-rr99.3%

      \[\leadsto \mathsf{fma}\left(0.125, \color{blue}{\frac{\varepsilon}{x \cdot x} \cdot \frac{\varepsilon}{x}}, 0.5 \cdot \frac{\varepsilon}{x}\right) \]
  3. Recombined 2 regimes into one program.
  4. Final simplification99.5%

    \[\leadsto \begin{array}{l} \mathbf{if}\;x - \sqrt{x \cdot x - \varepsilon} \leq -2 \cdot 10^{-154}:\\ \;\;\;\;x - \sqrt{x \cdot x - \varepsilon}\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(0.125, \frac{\varepsilon}{x \cdot x} \cdot \frac{\varepsilon}{x}, \frac{\varepsilon}{x} \cdot 0.5\right)\\ \end{array} \]

Alternative 3?

\[\begin{array}{l} t_0 := x - \sqrt{x \cdot x - \varepsilon}\\ \mathbf{if}\;t_0 \leq -2 \cdot 10^{-154}:\\ \;\;\;\;t_0\\ \mathbf{else}:\\ \;\;\;\;\frac{\varepsilon}{x} \cdot 0.5\\ \end{array} \]
Derivation
  1. Split input into 2 regimes
  2. if (-.f64 x (sqrt.f64 (-.f64 (*.f64 x x) eps))) < -1.9999999999999999e-154

    1. Initial program 99.7%

      \[x - \sqrt{x \cdot x - \varepsilon} \]

    if -1.9999999999999999e-154 < (-.f64 x (sqrt.f64 (-.f64 (*.f64 x x) eps)))

    1. Initial program 8.5%

      \[x - \sqrt{x \cdot x - \varepsilon} \]
    2. Taylor expanded in x around inf 98.1%

      \[\leadsto \color{blue}{0.5 \cdot \frac{\varepsilon}{x}} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification99.0%

    \[\leadsto \begin{array}{l} \mathbf{if}\;x - \sqrt{x \cdot x - \varepsilon} \leq -2 \cdot 10^{-154}:\\ \;\;\;\;x - \sqrt{x \cdot x - \varepsilon}\\ \mathbf{else}:\\ \;\;\;\;\frac{\varepsilon}{x} \cdot 0.5\\ \end{array} \]

Alternative 4?

\[\begin{array}{l} \mathbf{if}\;x \leq 1.8 \cdot 10^{-92}:\\ \;\;\;\;x - \sqrt{-\varepsilon}\\ \mathbf{else}:\\ \;\;\;\;\frac{\varepsilon}{x} \cdot 0.5\\ \end{array} \]
Derivation
  1. Split input into 2 regimes
  2. if x < 1.80000000000000008e-92

    1. Initial program 91.6%

      \[x - \sqrt{x \cdot x - \varepsilon} \]
    2. Taylor expanded in x around 0 90.6%

      \[\leadsto x - \sqrt{\color{blue}{-1 \cdot \varepsilon}} \]
    3. Step-by-step derivation
      1. neg-mul-190.6%

        \[\leadsto x - \sqrt{\color{blue}{-\varepsilon}} \]
    4. Simplified90.6%

      \[\leadsto x - \sqrt{\color{blue}{-\varepsilon}} \]

    if 1.80000000000000008e-92 < x

    1. Initial program 16.3%

      \[x - \sqrt{x \cdot x - \varepsilon} \]
    2. Taylor expanded in x around inf 90.4%

      \[\leadsto \color{blue}{0.5 \cdot \frac{\varepsilon}{x}} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification90.5%

    \[\leadsto \begin{array}{l} \mathbf{if}\;x \leq 1.8 \cdot 10^{-92}:\\ \;\;\;\;x - \sqrt{-\varepsilon}\\ \mathbf{else}:\\ \;\;\;\;\frac{\varepsilon}{x} \cdot 0.5\\ \end{array} \]

Alternative 5?

\[\frac{\varepsilon}{x} \cdot 0.5 \]
Derivation
  1. Initial program 59.8%

    \[x - \sqrt{x \cdot x - \varepsilon} \]
  2. Taylor expanded in x around inf 46.4%

    \[\leadsto \color{blue}{0.5 \cdot \frac{\varepsilon}{x}} \]
  3. Final simplification46.4%

    \[\leadsto \frac{\varepsilon}{x} \cdot 0.5 \]

Alternative 6?

\[x \cdot -2 \]
Derivation
  1. Initial program 59.8%

    \[x - \sqrt{x \cdot x - \varepsilon} \]
  2. Step-by-step derivation
    1. flip--59.7%

      \[\leadsto \color{blue}{\frac{x \cdot x - \sqrt{x \cdot x - \varepsilon} \cdot \sqrt{x \cdot x - \varepsilon}}{x + \sqrt{x \cdot x - \varepsilon}}} \]
    2. div-inv59.6%

      \[\leadsto \color{blue}{\left(x \cdot x - \sqrt{x \cdot x - \varepsilon} \cdot \sqrt{x \cdot x - \varepsilon}\right) \cdot \frac{1}{x + \sqrt{x \cdot x - \varepsilon}}} \]
    3. add-sqr-sqrt59.4%

      \[\leadsto \left(x \cdot x - \color{blue}{\left(x \cdot x - \varepsilon\right)}\right) \cdot \frac{1}{x + \sqrt{x \cdot x - \varepsilon}} \]
    4. sub-neg59.4%

      \[\leadsto \left(x \cdot x - \left(x \cdot x - \varepsilon\right)\right) \cdot \frac{1}{x + \sqrt{\color{blue}{x \cdot x + \left(-\varepsilon\right)}}} \]
    5. add-sqr-sqrt56.7%

      \[\leadsto \left(x \cdot x - \left(x \cdot x - \varepsilon\right)\right) \cdot \frac{1}{x + \sqrt{x \cdot x + \color{blue}{\sqrt{-\varepsilon} \cdot \sqrt{-\varepsilon}}}} \]
    6. hypot-def56.7%

      \[\leadsto \left(x \cdot x - \left(x \cdot x - \varepsilon\right)\right) \cdot \frac{1}{x + \color{blue}{\mathsf{hypot}\left(x, \sqrt{-\varepsilon}\right)}} \]
  3. Applied egg-rr56.7%

    \[\leadsto \color{blue}{\left(x \cdot x - \left(x \cdot x - \varepsilon\right)\right) \cdot \frac{1}{x + \mathsf{hypot}\left(x, \sqrt{-\varepsilon}\right)}} \]
  4. Step-by-step derivation
    1. associate-*r/56.7%

      \[\leadsto \color{blue}{\frac{\left(x \cdot x - \left(x \cdot x - \varepsilon\right)\right) \cdot 1}{x + \mathsf{hypot}\left(x, \sqrt{-\varepsilon}\right)}} \]
    2. *-rgt-identity56.7%

      \[\leadsto \frac{\color{blue}{x \cdot x - \left(x \cdot x - \varepsilon\right)}}{x + \mathsf{hypot}\left(x, \sqrt{-\varepsilon}\right)} \]
    3. associate--r-75.8%

      \[\leadsto \frac{\color{blue}{\left(x \cdot x - x \cdot x\right) + \varepsilon}}{x + \mathsf{hypot}\left(x, \sqrt{-\varepsilon}\right)} \]
    4. +-inverses75.8%

      \[\leadsto \frac{\color{blue}{0} + \varepsilon}{x + \mathsf{hypot}\left(x, \sqrt{-\varepsilon}\right)} \]
    5. +-lft-identity75.8%

      \[\leadsto \frac{\color{blue}{\varepsilon}}{x + \mathsf{hypot}\left(x, \sqrt{-\varepsilon}\right)} \]
  5. Simplified75.8%

    \[\leadsto \color{blue}{\frac{\varepsilon}{x + \mathsf{hypot}\left(x, \sqrt{-\varepsilon}\right)}} \]
  6. Step-by-step derivation
    1. *-un-lft-identity75.8%

      \[\leadsto \frac{\color{blue}{1 \cdot \varepsilon}}{x + \mathsf{hypot}\left(x, \sqrt{-\varepsilon}\right)} \]
    2. add-cube-cbrt74.4%

      \[\leadsto \frac{1 \cdot \varepsilon}{\color{blue}{\left(\sqrt[3]{x + \mathsf{hypot}\left(x, \sqrt{-\varepsilon}\right)} \cdot \sqrt[3]{x + \mathsf{hypot}\left(x, \sqrt{-\varepsilon}\right)}\right) \cdot \sqrt[3]{x + \mathsf{hypot}\left(x, \sqrt{-\varepsilon}\right)}}} \]
    3. times-frac74.3%

      \[\leadsto \color{blue}{\frac{1}{\sqrt[3]{x + \mathsf{hypot}\left(x, \sqrt{-\varepsilon}\right)} \cdot \sqrt[3]{x + \mathsf{hypot}\left(x, \sqrt{-\varepsilon}\right)}} \cdot \frac{\varepsilon}{\sqrt[3]{x + \mathsf{hypot}\left(x, \sqrt{-\varepsilon}\right)}}} \]
    4. pow274.3%

      \[\leadsto \frac{1}{\color{blue}{{\left(\sqrt[3]{x + \mathsf{hypot}\left(x, \sqrt{-\varepsilon}\right)}\right)}^{2}}} \cdot \frac{\varepsilon}{\sqrt[3]{x + \mathsf{hypot}\left(x, \sqrt{-\varepsilon}\right)}} \]
    5. add-sqr-sqrt74.3%

      \[\leadsto \frac{1}{{\left(\sqrt[3]{x + \mathsf{hypot}\left(x, \sqrt{\color{blue}{\sqrt{-\varepsilon} \cdot \sqrt{-\varepsilon}}}\right)}\right)}^{2}} \cdot \frac{\varepsilon}{\sqrt[3]{x + \mathsf{hypot}\left(x, \sqrt{-\varepsilon}\right)}} \]
    6. sqrt-unprod53.0%

      \[\leadsto \frac{1}{{\left(\sqrt[3]{x + \mathsf{hypot}\left(x, \sqrt{\color{blue}{\sqrt{\left(-\varepsilon\right) \cdot \left(-\varepsilon\right)}}}\right)}\right)}^{2}} \cdot \frac{\varepsilon}{\sqrt[3]{x + \mathsf{hypot}\left(x, \sqrt{-\varepsilon}\right)}} \]
    7. sqr-neg53.0%

      \[\leadsto \frac{1}{{\left(\sqrt[3]{x + \mathsf{hypot}\left(x, \sqrt{\sqrt{\color{blue}{\varepsilon \cdot \varepsilon}}}\right)}\right)}^{2}} \cdot \frac{\varepsilon}{\sqrt[3]{x + \mathsf{hypot}\left(x, \sqrt{-\varepsilon}\right)}} \]
    8. sqrt-prod0.0%

      \[\leadsto \frac{1}{{\left(\sqrt[3]{x + \mathsf{hypot}\left(x, \sqrt{\color{blue}{\sqrt{\varepsilon} \cdot \sqrt{\varepsilon}}}\right)}\right)}^{2}} \cdot \frac{\varepsilon}{\sqrt[3]{x + \mathsf{hypot}\left(x, \sqrt{-\varepsilon}\right)}} \]
    9. add-sqr-sqrt0.0%

      \[\leadsto \frac{1}{{\left(\sqrt[3]{x + \mathsf{hypot}\left(x, \sqrt{\color{blue}{\varepsilon}}\right)}\right)}^{2}} \cdot \frac{\varepsilon}{\sqrt[3]{x + \mathsf{hypot}\left(x, \sqrt{-\varepsilon}\right)}} \]
  7. Applied egg-rr22.5%

    \[\leadsto \color{blue}{\frac{1}{{\left(\sqrt[3]{x + \mathsf{hypot}\left(x, \sqrt{\varepsilon}\right)}\right)}^{2}} \cdot \frac{\varepsilon}{\sqrt[3]{x + \mathsf{hypot}\left(x, \sqrt{\varepsilon}\right)}}} \]
  8. Step-by-step derivation
    1. associate-*l/22.5%

      \[\leadsto \color{blue}{\frac{1 \cdot \frac{\varepsilon}{\sqrt[3]{x + \mathsf{hypot}\left(x, \sqrt{\varepsilon}\right)}}}{{\left(\sqrt[3]{x + \mathsf{hypot}\left(x, \sqrt{\varepsilon}\right)}\right)}^{2}}} \]
    2. *-lft-identity22.5%

      \[\leadsto \frac{\color{blue}{\frac{\varepsilon}{\sqrt[3]{x + \mathsf{hypot}\left(x, \sqrt{\varepsilon}\right)}}}}{{\left(\sqrt[3]{x + \mathsf{hypot}\left(x, \sqrt{\varepsilon}\right)}\right)}^{2}} \]
  9. Simplified22.5%

    \[\leadsto \color{blue}{\frac{\frac{\varepsilon}{\sqrt[3]{x + \mathsf{hypot}\left(x, \sqrt{\varepsilon}\right)}}}{{\left(\sqrt[3]{x + \mathsf{hypot}\left(x, \sqrt{\varepsilon}\right)}\right)}^{2}}} \]
  10. Taylor expanded in x around -inf 5.0%

    \[\leadsto \color{blue}{-2 \cdot x} \]
  11. Step-by-step derivation
    1. *-commutative5.0%

      \[\leadsto \color{blue}{x \cdot -2} \]
  12. Simplified5.0%

    \[\leadsto \color{blue}{x \cdot -2} \]
  13. Final simplification5.0%

    \[\leadsto x \cdot -2 \]

Alternative 7?

\[x \]
Derivation
  1. Initial program 59.8%

    \[x - \sqrt{x \cdot x - \varepsilon} \]
  2. Taylor expanded in x around 0 56.3%

    \[\leadsto x - \sqrt{\color{blue}{-1 \cdot \varepsilon}} \]
  3. Step-by-step derivation
    1. neg-mul-156.3%

      \[\leadsto x - \sqrt{\color{blue}{-\varepsilon}} \]
  4. Simplified56.3%

    \[\leadsto x - \sqrt{\color{blue}{-\varepsilon}} \]
  5. Taylor expanded in x around inf 3.7%

    \[\leadsto \color{blue}{x} \]
  6. Final simplification3.7%

    \[\leadsto x \]

Reproduce

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herbie shell --seed 2023166 
(FPCore (x eps)
  :name "ENA, Section 1.4, Exercise 4d"
  :precision binary64
  :pre (and (and (<= 0.0 x) (<= x 1000000000.0)) (and (<= -1.0 eps) (<= eps 1.0)))

  :herbie-target
  (/ eps (+ x (sqrt (- (* x x) eps))))

  (- x (sqrt (- (* x x) eps))))