?

Average Error: 0.0 → 0.0
Time: 5.6s
Precision: binary64
Cost: 6848

?

\[\left(x \cdot \left(y - 1\right) - y \cdot 0.5\right) + 0.918938533204673 \]
\[\mathsf{fma}\left(y, x + -0.5, 0.918938533204673 - x\right) \]
(FPCore (x y)
 :precision binary64
 (+ (- (* x (- y 1.0)) (* y 0.5)) 0.918938533204673))
(FPCore (x y) :precision binary64 (fma y (+ x -0.5) (- 0.918938533204673 x)))
double code(double x, double y) {
	return ((x * (y - 1.0)) - (y * 0.5)) + 0.918938533204673;
}
double code(double x, double y) {
	return fma(y, (x + -0.5), (0.918938533204673 - x));
}
function code(x, y)
	return Float64(Float64(Float64(x * Float64(y - 1.0)) - Float64(y * 0.5)) + 0.918938533204673)
end
function code(x, y)
	return fma(y, Float64(x + -0.5), Float64(0.918938533204673 - x))
end
code[x_, y_] := N[(N[(N[(x * N[(y - 1.0), $MachinePrecision]), $MachinePrecision] - N[(y * 0.5), $MachinePrecision]), $MachinePrecision] + 0.918938533204673), $MachinePrecision]
code[x_, y_] := N[(y * N[(x + -0.5), $MachinePrecision] + N[(0.918938533204673 - x), $MachinePrecision]), $MachinePrecision]
\left(x \cdot \left(y - 1\right) - y \cdot 0.5\right) + 0.918938533204673
\mathsf{fma}\left(y, x + -0.5, 0.918938533204673 - x\right)

Error?

Derivation?

  1. Initial program 0.0

    \[\left(x \cdot \left(y - 1\right) - y \cdot 0.5\right) + 0.918938533204673 \]
  2. Simplified0.0

    \[\leadsto \color{blue}{\mathsf{fma}\left(y, x + -0.5, 0.918938533204673 - x\right)} \]
    Proof

    [Start]0.0

    \[ \left(x \cdot \left(y - 1\right) - y \cdot 0.5\right) + 0.918938533204673 \]

    sub-neg [=>]0.0

    \[ \color{blue}{\left(x \cdot \left(y - 1\right) + \left(-y \cdot 0.5\right)\right)} + 0.918938533204673 \]

    +-commutative [=>]0.0

    \[ \color{blue}{\left(\left(-y \cdot 0.5\right) + x \cdot \left(y - 1\right)\right)} + 0.918938533204673 \]

    sub-neg [=>]0.0

    \[ \left(\left(-y \cdot 0.5\right) + x \cdot \color{blue}{\left(y + \left(-1\right)\right)}\right) + 0.918938533204673 \]

    distribute-lft-in [=>]0.0

    \[ \left(\left(-y \cdot 0.5\right) + \color{blue}{\left(x \cdot y + x \cdot \left(-1\right)\right)}\right) + 0.918938533204673 \]

    *-commutative [<=]0.0

    \[ \left(\left(-y \cdot 0.5\right) + \left(\color{blue}{y \cdot x} + x \cdot \left(-1\right)\right)\right) + 0.918938533204673 \]

    associate-+r+ [=>]0.0

    \[ \color{blue}{\left(\left(\left(-y \cdot 0.5\right) + y \cdot x\right) + x \cdot \left(-1\right)\right)} + 0.918938533204673 \]

    associate-+l+ [=>]0.0

    \[ \color{blue}{\left(\left(-y \cdot 0.5\right) + y \cdot x\right) + \left(x \cdot \left(-1\right) + 0.918938533204673\right)} \]

    distribute-rgt-neg-in [=>]0.0

    \[ \left(\color{blue}{y \cdot \left(-0.5\right)} + y \cdot x\right) + \left(x \cdot \left(-1\right) + 0.918938533204673\right) \]

    distribute-lft-out [=>]0.0

    \[ \color{blue}{y \cdot \left(\left(-0.5\right) + x\right)} + \left(x \cdot \left(-1\right) + 0.918938533204673\right) \]

    fma-def [=>]0.0

    \[ \color{blue}{\mathsf{fma}\left(y, \left(-0.5\right) + x, x \cdot \left(-1\right) + 0.918938533204673\right)} \]

    +-commutative [=>]0.0

    \[ \mathsf{fma}\left(y, \color{blue}{x + \left(-0.5\right)}, x \cdot \left(-1\right) + 0.918938533204673\right) \]

    metadata-eval [=>]0.0

    \[ \mathsf{fma}\left(y, x + \color{blue}{-0.5}, x \cdot \left(-1\right) + 0.918938533204673\right) \]

    +-commutative [<=]0.0

    \[ \mathsf{fma}\left(y, x + -0.5, \color{blue}{0.918938533204673 + x \cdot \left(-1\right)}\right) \]

    *-commutative [=>]0.0

    \[ \mathsf{fma}\left(y, x + -0.5, 0.918938533204673 + \color{blue}{\left(-1\right) \cdot x}\right) \]

    metadata-eval [=>]0.0

    \[ \mathsf{fma}\left(y, x + -0.5, 0.918938533204673 + \color{blue}{-1} \cdot x\right) \]

    mul-1-neg [=>]0.0

    \[ \mathsf{fma}\left(y, x + -0.5, 0.918938533204673 + \color{blue}{\left(-x\right)}\right) \]

    unsub-neg [=>]0.0

    \[ \mathsf{fma}\left(y, x + -0.5, \color{blue}{0.918938533204673 - x}\right) \]
  3. Final simplification0.0

    \[\leadsto \mathsf{fma}\left(y, x + -0.5, 0.918938533204673 - x\right) \]

Alternatives

Alternative 1
Error28.6
Cost1380
\[\begin{array}{l} \mathbf{if}\;x \leq -3.9 \cdot 10^{+205}:\\ \;\;\;\;-x\\ \mathbf{elif}\;x \leq -8.5 \cdot 10^{+185}:\\ \;\;\;\;y \cdot x\\ \mathbf{elif}\;x \leq -3.7 \cdot 10^{+27}:\\ \;\;\;\;-x\\ \mathbf{elif}\;x \leq -57000:\\ \;\;\;\;y \cdot x\\ \mathbf{elif}\;x \leq -3.1 \cdot 10^{-22}:\\ \;\;\;\;y \cdot -0.5\\ \mathbf{elif}\;x \leq 1.06 \cdot 10^{-191}:\\ \;\;\;\;0.918938533204673\\ \mathbf{elif}\;x \leq 8 \cdot 10^{-57}:\\ \;\;\;\;y \cdot -0.5\\ \mathbf{elif}\;x \leq 2.2 \cdot 10^{-11}:\\ \;\;\;\;0.918938533204673\\ \mathbf{elif}\;x \leq 1300000000000:\\ \;\;\;\;y \cdot x\\ \mathbf{else}:\\ \;\;\;\;-x\\ \end{array} \]
Alternative 2
Error27.6
Cost1248
\[\begin{array}{l} \mathbf{if}\;y \leq -0.00049:\\ \;\;\;\;y \cdot -0.5\\ \mathbf{elif}\;y \leq -1.45 \cdot 10^{-161}:\\ \;\;\;\;-x\\ \mathbf{elif}\;y \leq -5.2 \cdot 10^{-288}:\\ \;\;\;\;0.918938533204673\\ \mathbf{elif}\;y \leq 8.5 \cdot 10^{-308}:\\ \;\;\;\;-x\\ \mathbf{elif}\;y \leq 3.9 \cdot 10^{-210}:\\ \;\;\;\;0.918938533204673\\ \mathbf{elif}\;y \leq 3.4 \cdot 10^{-141}:\\ \;\;\;\;-x\\ \mathbf{elif}\;y \leq 6.8 \cdot 10^{-84}:\\ \;\;\;\;0.918938533204673\\ \mathbf{elif}\;y \leq 1.75:\\ \;\;\;\;-x\\ \mathbf{else}:\\ \;\;\;\;y \cdot -0.5\\ \end{array} \]
Alternative 3
Error1.2
Cost841
\[\begin{array}{l} \mathbf{if}\;y \leq -0.000232 \lor \neg \left(y \leq 2.3 \cdot 10^{-6}\right):\\ \;\;\;\;0.918938533204673 + \left(y \cdot x + y \cdot -0.5\right)\\ \mathbf{else}:\\ \;\;\;\;0.918938533204673 - x\\ \end{array} \]
Alternative 4
Error10.8
Cost588
\[\begin{array}{l} \mathbf{if}\;y \leq -6.5 \cdot 10^{+99}:\\ \;\;\;\;y \cdot -0.5\\ \mathbf{elif}\;y \leq -29500:\\ \;\;\;\;y \cdot x\\ \mathbf{elif}\;y \leq 1.8:\\ \;\;\;\;0.918938533204673 - x\\ \mathbf{else}:\\ \;\;\;\;y \cdot -0.5\\ \end{array} \]
Alternative 5
Error1.6
Cost585
\[\begin{array}{l} \mathbf{if}\;y \leq -1.42 \lor \neg \left(y \leq 1.55\right):\\ \;\;\;\;y \cdot \left(x + -0.5\right)\\ \mathbf{else}:\\ \;\;\;\;0.918938533204673 - x\\ \end{array} \]
Alternative 6
Error0.0
Cost576
\[\left(0.918938533204673 + y \cdot \left(x + -0.5\right)\right) - x \]
Alternative 7
Error28.5
Cost392
\[\begin{array}{l} \mathbf{if}\;x \leq -0.92:\\ \;\;\;\;-x\\ \mathbf{elif}\;x \leq 0.92:\\ \;\;\;\;0.918938533204673\\ \mathbf{else}:\\ \;\;\;\;-x\\ \end{array} \]
Alternative 8
Error45.5
Cost64
\[0.918938533204673 \]

Error

Reproduce?

herbie shell --seed 2023039 
(FPCore (x y)
  :name "Numeric.SpecFunctions:logGamma from math-functions-0.1.5.2, A"
  :precision binary64
  (+ (- (* x (- y 1.0)) (* y 0.5)) 0.918938533204673))