?

Average Error: 0.12% → 0%
Time: 8.4s
Precision: binary64
Cost: 6592

?

\[x - \frac{3}{8} \cdot y \]
\[\mathsf{fma}\left(y, -0.375, x\right) \]
(FPCore (x y) :precision binary64 (- x (* (/ 3.0 8.0) y)))
(FPCore (x y) :precision binary64 (fma y -0.375 x))
double code(double x, double y) {
	return x - ((3.0 / 8.0) * y);
}
double code(double x, double y) {
	return fma(y, -0.375, x);
}
function code(x, y)
	return Float64(x - Float64(Float64(3.0 / 8.0) * y))
end
function code(x, y)
	return fma(y, -0.375, x)
end
code[x_, y_] := N[(x - N[(N[(3.0 / 8.0), $MachinePrecision] * y), $MachinePrecision]), $MachinePrecision]
code[x_, y_] := N[(y * -0.375 + x), $MachinePrecision]
x - \frac{3}{8} \cdot y
\mathsf{fma}\left(y, -0.375, x\right)

Error?

Derivation?

  1. Initial program 0.12

    \[x - \frac{3}{8} \cdot y \]
  2. Simplified0

    \[\leadsto \color{blue}{\mathsf{fma}\left(y, -0.375, x\right)} \]
    Proof

    [Start]0.12

    \[ x - \frac{3}{8} \cdot y \]

    cancel-sign-sub-inv [=>]0.12

    \[ \color{blue}{x + \left(-\frac{3}{8}\right) \cdot y} \]

    +-commutative [=>]0.12

    \[ \color{blue}{\left(-\frac{3}{8}\right) \cdot y + x} \]

    *-commutative [=>]0.12

    \[ \color{blue}{y \cdot \left(-\frac{3}{8}\right)} + x \]

    fma-def [=>]0

    \[ \color{blue}{\mathsf{fma}\left(y, -\frac{3}{8}, x\right)} \]

    metadata-eval [=>]0

    \[ \mathsf{fma}\left(y, -\color{blue}{0.375}, x\right) \]

    metadata-eval [=>]0

    \[ \mathsf{fma}\left(y, \color{blue}{-0.375}, x\right) \]
  3. Final simplification0

    \[\leadsto \mathsf{fma}\left(y, -0.375, x\right) \]

Alternatives

Alternative 1
Error26.26%
Cost456
\[\begin{array}{l} \mathbf{if}\;y \leq -1.08 \cdot 10^{-51}:\\ \;\;\;\;y \cdot -0.375\\ \mathbf{elif}\;y \leq 1.45 \cdot 10^{-37}:\\ \;\;\;\;x\\ \mathbf{else}:\\ \;\;\;\;y \cdot -0.375\\ \end{array} \]
Alternative 2
Error0.12%
Cost320
\[x + y \cdot -0.375 \]
Alternative 3
Error48.27%
Cost64
\[x \]

Error

Reproduce?

herbie shell --seed 2023102 
(FPCore (x y)
  :name "Diagrams.Solve.Polynomial:quartForm  from diagrams-solve-0.1, A"
  :precision binary64
  (- x (* (/ 3.0 8.0) y)))