Average Error: 0.0 → 0.0
Time: 1.4s
Precision: binary64
\[500 \cdot \left(x - y\right) \]
↓
\[\mathsf{fma}\left(x, 500, y \cdot -500\right) \]
(FPCore (x y) :precision binary64 (* 500.0 (- x y)))
↓
(FPCore (x y) :precision binary64 (fma x 500.0 (* y -500.0)))
double code(double x, double y) {
	return 500.0 * (x - y);
}
↓
double code(double x, double y) {
	return fma(x, 500.0, (y * -500.0));
}

function code(x, y)
	return Float64(500.0 * Float64(x - y))
end
↓
function code(x, y)
	return fma(x, 500.0, Float64(y * -500.0))
end

code[x_, y_] := N[(500.0 * N[(x - y), $MachinePrecision]), $MachinePrecision]
↓
code[x_, y_] := N[(x * 500.0 + N[(y * -500.0), $MachinePrecision]), $MachinePrecision]

500 \cdot \left(x - y\right)
↓
\mathsf{fma}\left(x, 500, y \cdot -500\right)

Error

Bits error versus x

Bits error versus y

Derivation

  1. Initial program 0.0

    \[500 \cdot \left(x - y\right) \]

  2. Taylor expanded in x around 0 0.0

    \[\leadsto \color{blue}{500 \cdot x - 500 \cdot y} \]

  3. Applied egg-rr0.0

    \[\leadsto \color{blue}{\mathsf{fma}\left(x, 500, y \cdot -500\right)} \]

  4. Final simplification0.0

    \[\leadsto \mathsf{fma}\left(x, 500, y \cdot -500\right) \]

Reproduce

herbie shell --seed 2022150 
(FPCore (x y)
  :name "Data.Colour.CIE:cieLABView from colour-2.3.3, B"
  :precision binary64
  (* 500.0 (- x y)))