?

Average Accuracy: 100.0% → 100.0%
Time: 1.2s
Precision: binary64
Cost: 6656

?

\[x \cdot \left(x - 1\right) \]
\[\mathsf{fma}\left(x, x, -x\right) \]
(FPCore (x) :precision binary64 (* x (- x 1.0)))
(FPCore (x) :precision binary64 (fma x x (- x)))
double code(double x) {
	return x * (x - 1.0);
}
double code(double x) {
	return fma(x, x, -x);
}
function code(x)
	return Float64(x * Float64(x - 1.0))
end
function code(x)
	return fma(x, x, Float64(-x))
end
code[x_] := N[(x * N[(x - 1.0), $MachinePrecision]), $MachinePrecision]
code[x_] := N[(x * x + (-x)), $MachinePrecision]
x \cdot \left(x - 1\right)
\mathsf{fma}\left(x, x, -x\right)

Error?

Target

Original100.0%
Target100.0%
Herbie100.0%
\[x \cdot x - x \]

Derivation?

  1. Initial program 100.0%

    \[x \cdot \left(x - 1\right) \]
  2. Simplified100.0%

    \[\leadsto \color{blue}{x \cdot x - x} \]
    Proof

    [Start]100.0

    \[ x \cdot \left(x - 1\right) \]

    sub-neg [=>]100.0

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

    distribute-rgt-in [=>]100.0

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

    metadata-eval [=>]100.0

    \[ x \cdot x + \color{blue}{-1} \cdot x \]

    mul-1-neg [=>]100.0

    \[ x \cdot x + \color{blue}{\left(-x\right)} \]

    unsub-neg [=>]100.0

    \[ \color{blue}{x \cdot x - x} \]
  3. Applied egg-rr100.0%

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

    [Start]100.0

    \[ x \cdot x - x \]

    fma-neg [=>]100.0

    \[ \color{blue}{\mathsf{fma}\left(x, x, -x\right)} \]
  4. Final simplification100.0%

    \[\leadsto \mathsf{fma}\left(x, x, -x\right) \]

Alternatives

Alternative 1
Accuracy97.1%
Cost456
\[\begin{array}{l} \mathbf{if}\;x \leq -1:\\ \;\;\;\;x \cdot x\\ \mathbf{elif}\;x \leq 1:\\ \;\;\;\;-x\\ \mathbf{else}:\\ \;\;\;\;x \cdot x\\ \end{array} \]
Alternative 2
Accuracy100.0%
Cost320
\[x \cdot \left(x + -1\right) \]
Alternative 3
Accuracy100.0%
Cost320
\[x \cdot x - x \]
Alternative 4
Accuracy65.7%
Cost128
\[-x \]

Error

Reproduce?

herbie shell --seed 2023147 
(FPCore (x)
  :name "Statistics.Correlation.Kendall:numOfTiesBy from math-functions-0.1.5.2"
  :precision binary64

  :herbie-target
  (- (* x x) x)

  (* x (- x 1.0)))