Average Error: 0.2 → 0.2
Time: 8.9s
Precision: binary64
\[\cosh x \cdot \frac{\sin y}{y}\]
↓
\[\frac{\frac{\sin y}{y} \cdot \left(e^{x} + e^{-x}\right)}{2}\]
\cosh x \cdot \frac{\sin y}{y}
↓
\frac{\frac{\sin y}{y} \cdot \left(e^{x} + e^{-x}\right)}{2}
(FPCore (x y) :precision binary64 (* (cosh x) (/ (sin y) y)))
↓
(FPCore (x y)
 :precision binary64
 (/ (* (/ (sin y) y) (+ (exp x) (exp (- x)))) 2.0))
double code(double x, double y) {
	return cosh(x) * (sin(y) / y);
}
↓
double code(double x, double y) {
	return ((sin(y) / y) * (exp(x) + exp(-x))) / 2.0;
}

Error

Bits error versus x

Bits error versus y

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Your Program's Arguments

Results

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Target

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

Derivation

  1. Initial program 0.2

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

  3. Applied cosh-def_binary64_48880.2

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

  4. Applied associate-*l/_binary64_51300.2

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

  5. Simplified0.2

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

  6. Final simplification0.2

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

Reproduce

herbie shell --seed 2020231 
(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)))