Average Error: 0.1 → 0
Time: 6.2s
Precision: binary64
Cost: 6720
\[x + \frac{x - y}{2} \]
\[\mathsf{fma}\left(x, 1.5, y \cdot -0.5\right) \]
(FPCore (x y) :precision binary64 (+ x (/ (- x y) 2.0)))
(FPCore (x y) :precision binary64 (fma x 1.5 (* y -0.5)))
double code(double x, double y) {
	return x + ((x - y) / 2.0);
}
double code(double x, double y) {
	return fma(x, 1.5, (y * -0.5));
}
function code(x, y)
	return Float64(x + Float64(Float64(x - y) / 2.0))
end
function code(x, y)
	return fma(x, 1.5, Float64(y * -0.5))
end
code[x_, y_] := N[(x + N[(N[(x - y), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]
code[x_, y_] := N[(x * 1.5 + N[(y * -0.5), $MachinePrecision]), $MachinePrecision]
x + \frac{x - y}{2}
\mathsf{fma}\left(x, 1.5, y \cdot -0.5\right)

Error

Target

Original0.1
Target0.1
Herbie0
\[1.5 \cdot x - 0.5 \cdot y \]

Derivation

  1. Initial program 0.1

    \[x + \frac{x - y}{2} \]
  2. Simplified0

    \[\leadsto \color{blue}{\mathsf{fma}\left(x, 1.5, y \cdot -0.5\right)} \]
    Proof

    [Start]0.1

    \[ x + \frac{x - y}{2} \]

    +-commutative [=>]0.1

    \[ \color{blue}{\frac{x - y}{2} + x} \]

    div-sub [=>]0.1

    \[ \color{blue}{\left(\frac{x}{2} - \frac{y}{2}\right)} + x \]

    associate-+l- [=>]0.1

    \[ \color{blue}{\frac{x}{2} - \left(\frac{y}{2} - x\right)} \]

    sub-neg [=>]0.1

    \[ \frac{x}{2} - \color{blue}{\left(\frac{y}{2} + \left(-x\right)\right)} \]

    +-commutative [=>]0.1

    \[ \frac{x}{2} - \color{blue}{\left(\left(-x\right) + \frac{y}{2}\right)} \]

    associate--r+ [=>]0.1

    \[ \color{blue}{\left(\frac{x}{2} - \left(-x\right)\right) - \frac{y}{2}} \]

    sub-neg [=>]0.1

    \[ \color{blue}{\left(\frac{x}{2} + \left(-\left(-x\right)\right)\right)} - \frac{y}{2} \]

    remove-double-neg [=>]0.1

    \[ \left(\frac{x}{2} + \color{blue}{x}\right) - \frac{y}{2} \]

    +-commutative [<=]0.1

    \[ \color{blue}{\left(x + \frac{x}{2}\right)} - \frac{y}{2} \]

    *-lft-identity [<=]0.1

    \[ \left(\color{blue}{1 \cdot x} + \frac{x}{2}\right) - \frac{y}{2} \]

    metadata-eval [<=]0.1

    \[ \left(\color{blue}{\left(--1\right)} \cdot x + \frac{x}{2}\right) - \frac{y}{2} \]

    *-lft-identity [<=]0.1

    \[ \left(\left(--1\right) \cdot x + \frac{\color{blue}{1 \cdot x}}{2}\right) - \frac{y}{2} \]

    metadata-eval [<=]0.1

    \[ \left(\left(--1\right) \cdot x + \frac{\color{blue}{\left(--1\right)} \cdot x}{2}\right) - \frac{y}{2} \]

    associate-/l* [=>]0.1

    \[ \left(\left(--1\right) \cdot x + \color{blue}{\frac{--1}{\frac{2}{x}}}\right) - \frac{y}{2} \]

    associate-/r/ [=>]0.1

    \[ \left(\left(--1\right) \cdot x + \color{blue}{\frac{--1}{2} \cdot x}\right) - \frac{y}{2} \]

    distribute-rgt-out [=>]0.1

    \[ \color{blue}{x \cdot \left(\left(--1\right) + \frac{--1}{2}\right)} - \frac{y}{2} \]

    fma-neg [=>]0

    \[ \color{blue}{\mathsf{fma}\left(x, \left(--1\right) + \frac{--1}{2}, -\frac{y}{2}\right)} \]

    metadata-eval [=>]0

    \[ \mathsf{fma}\left(x, \color{blue}{1} + \frac{--1}{2}, -\frac{y}{2}\right) \]

    metadata-eval [=>]0

    \[ \mathsf{fma}\left(x, 1 + \frac{\color{blue}{1}}{2}, -\frac{y}{2}\right) \]

    metadata-eval [=>]0

    \[ \mathsf{fma}\left(x, 1 + \color{blue}{0.5}, -\frac{y}{2}\right) \]

    metadata-eval [=>]0

    \[ \mathsf{fma}\left(x, \color{blue}{1.5}, -\frac{y}{2}\right) \]

    distribute-neg-frac [=>]0

    \[ \mathsf{fma}\left(x, 1.5, \color{blue}{\frac{-y}{2}}\right) \]

    neg-mul-1 [=>]0

    \[ \mathsf{fma}\left(x, 1.5, \frac{\color{blue}{-1 \cdot y}}{2}\right) \]

    associate-/l* [=>]0.1

    \[ \mathsf{fma}\left(x, 1.5, \color{blue}{\frac{-1}{\frac{2}{y}}}\right) \]

    associate-/r/ [=>]0

    \[ \mathsf{fma}\left(x, 1.5, \color{blue}{\frac{-1}{2} \cdot y}\right) \]

    *-commutative [=>]0

    \[ \mathsf{fma}\left(x, 1.5, \color{blue}{y \cdot \frac{-1}{2}}\right) \]

    metadata-eval [=>]0

    \[ \mathsf{fma}\left(x, 1.5, y \cdot \color{blue}{-0.5}\right) \]
  3. Final simplification0

    \[\leadsto \mathsf{fma}\left(x, 1.5, y \cdot -0.5\right) \]

Alternatives

Alternative 1
Error17.7
Cost456
\[\begin{array}{l} \mathbf{if}\;y \leq -6.5 \cdot 10^{+73}:\\ \;\;\;\;y \cdot -0.5\\ \mathbf{elif}\;y \leq 10^{+120}:\\ \;\;\;\;x \cdot 1.5\\ \mathbf{else}:\\ \;\;\;\;y \cdot -0.5\\ \end{array} \]
Alternative 2
Error0.1
Cost448
\[x + \frac{x - y}{2} \]
Alternative 3
Error32.1
Cost192
\[y \cdot -0.5 \]

Error

Reproduce

herbie shell --seed 2023016 
(FPCore (x y)
  :name "Graphics.Rendering.Chart.Axis.Types:hBufferRect from Chart-1.5.3"
  :precision binary64

  :herbie-target
  (- (* 1.5 x) (* 0.5 y))

  (+ x (/ (- x y) 2.0)))