Average Error: 0.1 → 0.2
Time: 6.3s
Precision: 64
\[\cosh x \cdot \frac{\sin y}{y}\]
↓
\[\frac{\frac{\sin y}{\frac{1}{2}} \cdot \cosh x}{2 \cdot y}\]
\cosh x \cdot \frac{\sin y}{y}
↓
\frac{\frac{\sin y}{\frac{1}{2}} \cdot \cosh x}{2 \cdot y}
double f(double x, double y) {
        double r486938 = x;
        double r486939 = cosh(r486938);
        double r486940 = y;
        double r486941 = sin(r486940);
        double r486942 = r486941 / r486940;
        double r486943 = r486939 * r486942;
        return r486943;
}
↓
double f(double x, double y) {
        double r486944 = y;
        double r486945 = sin(r486944);
        double r486946 = 0.5;
        double r486947 = r486945 / r486946;
        double r486948 = x;
        double r486949 = cosh(r486948);
        double r486950 = r486947 * r486949;
        double r486951 = 2.0;
        double r486952 = r486951 * r486944;
        double r486953 = r486950 / r486952;
        return r486953;
}

Error

Bits error versus x

Bits error versus y

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Results

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Target

Original0.1
Target0.1
Herbie0.2
\[\frac{\cosh x \cdot \sin y}{y}\]

Derivation

  1. Initial program 0.1

    \[\cosh x \cdot \frac{\sin y}{y}\]
  2. Using strategy rm

  3. Applied cosh-def0.1

    \[\leadsto \color{blue}{\frac{e^{x} + e^{-x}}{2}} \cdot \frac{\sin y}{y}\]

  4. Applied frac-times0.2

    \[\leadsto \color{blue}{\frac{\left(e^{x} + e^{-x}\right) \cdot \sin y}{2 \cdot y}}\]

  5. Simplified0.2

    \[\leadsto \frac{\color{blue}{\frac{\sin y}{\frac{1}{2}} \cdot \cosh x}}{2 \cdot y}\]

  6. Final simplification0.2

    \[\leadsto \frac{\frac{\sin y}{\frac{1}{2}} \cdot \cosh x}{2 \cdot y}\]

Reproduce

herbie shell --seed 2020081 
(FPCore (x y)
  :name "Linear.Quaternion:$csinh from linear-1.19.1.3"
  :precision binary64

  :herbie-target
  (/ (* (cosh x) (sin y)) y)

  (* (cosh x) (/ (sin y) y)))