?

Average Error: 0.0 → 0
Time: 1.6s
Precision: binary64
Cost: 6720

?

\[x \cdot \left(1 - x \cdot 0.5\right) \]
\[\mathsf{fma}\left(x, x \cdot -0.5, x\right) \]
(FPCore (x) :precision binary64 (* x (- 1.0 (* x 0.5))))
(FPCore (x) :precision binary64 (fma x (* x -0.5) x))
double code(double x) {
	return x * (1.0 - (x * 0.5));
}
double code(double x) {
	return fma(x, (x * -0.5), x);
}
function code(x)
	return Float64(x * Float64(1.0 - Float64(x * 0.5)))
end
function code(x)
	return fma(x, Float64(x * -0.5), x)
end
code[x_] := N[(x * N[(1.0 - N[(x * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
code[x_] := N[(x * N[(x * -0.5), $MachinePrecision] + x), $MachinePrecision]
x \cdot \left(1 - x \cdot 0.5\right)
\mathsf{fma}\left(x, x \cdot -0.5, x\right)

Error?

Derivation?

  1. Initial program 0.0

    \[x \cdot \left(1 - x \cdot 0.5\right) \]
  2. Simplified0

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

    [Start]0.0

    \[ x \cdot \left(1 - x \cdot 0.5\right) \]

    sub-neg [=>]0.0

    \[ x \cdot \color{blue}{\left(1 + \left(-x \cdot 0.5\right)\right)} \]

    distribute-lft-in [=>]0.0

    \[ \color{blue}{x \cdot 1 + x \cdot \left(-x \cdot 0.5\right)} \]

    +-commutative [=>]0.0

    \[ \color{blue}{x \cdot \left(-x \cdot 0.5\right) + x \cdot 1} \]

    *-rgt-identity [=>]0.0

    \[ x \cdot \left(-x \cdot 0.5\right) + \color{blue}{x} \]

    fma-def [=>]0

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

    distribute-rgt-neg-in [=>]0

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

    metadata-eval [=>]0

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

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

Alternatives

Alternative 1
Error1.8
Cost585
\[\begin{array}{l} \mathbf{if}\;x \leq -2 \lor \neg \left(x \leq 2\right):\\ \;\;\;\;x \cdot \left(x \cdot -0.5\right)\\ \mathbf{else}:\\ \;\;\;\;x\\ \end{array} \]
Alternative 2
Error0.0
Cost448
\[x \cdot \left(1 + x \cdot -0.5\right) \]
Alternative 3
Error21.5
Cost64
\[x \]

Error

Reproduce?

herbie shell --seed 2023125 
(FPCore (x)
  :name "Numeric.SpecFunctions:log1p from math-functions-0.1.5.2, B"
  :precision binary64
  (* x (- 1.0 (* x 0.5))))