Average Error: 0.0 → 0.0
Time: 4.9s
Precision: binary64
Cost: 13248
\[\left(x \cdot y + z \cdot t\right) + a \cdot b \]
↓
\[\mathsf{fma}\left(x, y, \mathsf{fma}\left(a, b, z \cdot t\right)\right) \]
(FPCore (x y z t a b) :precision binary64 (+ (+ (* x y) (* z t)) (* a b)))
↓
(FPCore (x y z t a b) :precision binary64 (fma x y (fma a b (* z t))))
double code(double x, double y, double z, double t, double a, double b) {
	return ((x * y) + (z * t)) + (a * b);
}
↓
double code(double x, double y, double z, double t, double a, double b) {
	return fma(x, y, fma(a, b, (z * t)));
}

function code(x, y, z, t, a, b)
	return Float64(Float64(Float64(x * y) + Float64(z * t)) + Float64(a * b))
end
↓
function code(x, y, z, t, a, b)
	return fma(x, y, fma(a, b, Float64(z * t)))
end

code[x_, y_, z_, t_, a_, b_] := N[(N[(N[(x * y), $MachinePrecision] + N[(z * t), $MachinePrecision]), $MachinePrecision] + N[(a * b), $MachinePrecision]), $MachinePrecision]
↓
code[x_, y_, z_, t_, a_, b_] := N[(x * y + N[(a * b + N[(z * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

\left(x \cdot y + z \cdot t\right) + a \cdot b
↓
\mathsf{fma}\left(x, y, \mathsf{fma}\left(a, b, z \cdot t\right)\right)

Error

Derivation

  1. Initial program 0.0

    \[\left(x \cdot y + z \cdot t\right) + a \cdot b \]

  2. Simplified0.0

    \[\leadsto \color{blue}{\mathsf{fma}\left(x, y, \mathsf{fma}\left(a, b, z \cdot t\right)\right)} \]
    Proof
    (fma.f64 x y (fma.f64 a b (*.f64 z t))): 0 points increase in error, 0 points decrease in error
    (fma.f64 x y (Rewrite<= fma-def_binary64 (+.f64 (*.f64 a b) (*.f64 z t)))): 0 points increase in error, 0 points decrease in error
    (fma.f64 x y (Rewrite<= +-commutative_binary64 (+.f64 (*.f64 z t) (*.f64 a b)))): 0 points increase in error, 0 points decrease in error
    (Rewrite<= fma-def_binary64 (+.f64 (*.f64 x y) (+.f64 (*.f64 z t) (*.f64 a b)))): 3 points increase in error, 0 points decrease in error
    (Rewrite<= associate-+l+_binary64 (+.f64 (+.f64 (*.f64 x y) (*.f64 z t)) (*.f64 a b))): 0 points increase in error, 1 points decrease in error

  3. Final simplification0.0

    \[\leadsto \mathsf{fma}\left(x, y, \mathsf{fma}\left(a, b, z \cdot t\right)\right) \]

Alternatives

Alternative 1
Error0.0
Cost6976
\[\mathsf{fma}\left(x, y, z \cdot t\right) + a \cdot b \]
Alternative 2
Error22.8
Cost1372
\[\begin{array}{l} t_1 := a \cdot b + z \cdot t\\ \mathbf{if}\;y \leq -6.8 \cdot 10^{-101}:\\ \;\;\;\;x \cdot y\\ \mathbf{elif}\;y \leq 1.5 \cdot 10^{+118}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;y \leq 1.9 \cdot 10^{+132}:\\ \;\;\;\;x \cdot y\\ \mathbf{elif}\;y \leq 2.2 \cdot 10^{+178}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;y \leq 3.25 \cdot 10^{+236}:\\ \;\;\;\;x \cdot y\\ \mathbf{elif}\;y \leq 1.8 \cdot 10^{+246}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;y \leq 5.6 \cdot 10^{+265}:\\ \;\;\;\;x \cdot y\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]
Alternative 3
Error30.5
Cost972
\[\begin{array}{l} \mathbf{if}\;a \cdot b \leq -1.85 \cdot 10^{-81}:\\ \;\;\;\;a \cdot b\\ \mathbf{elif}\;a \cdot b \leq -1.02 \cdot 10^{-171}:\\ \;\;\;\;x \cdot y\\ \mathbf{elif}\;a \cdot b \leq 4.3 \cdot 10^{+16}:\\ \;\;\;\;z \cdot t\\ \mathbf{else}:\\ \;\;\;\;a \cdot b\\ \end{array} \]
Alternative 4
Error9.8
Cost968
\[\begin{array}{l} t_1 := a \cdot b + x \cdot y\\ \mathbf{if}\;a \cdot b \leq -1.85 \cdot 10^{-81}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;a \cdot b \leq 1.36 \cdot 10^{+32}:\\ \;\;\;\;x \cdot y + z \cdot t\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]
Alternative 5
Error30.8
Cost712
\[\begin{array}{l} \mathbf{if}\;a \cdot b \leq -9 \cdot 10^{-104}:\\ \;\;\;\;a \cdot b\\ \mathbf{elif}\;a \cdot b \leq 1.28 \cdot 10^{+20}:\\ \;\;\;\;z \cdot t\\ \mathbf{else}:\\ \;\;\;\;a \cdot b\\ \end{array} \]
Alternative 6
Error13.9
Cost712
\[\begin{array}{l} t_1 := a \cdot b + x \cdot y\\ \mathbf{if}\;y \leq -6.5 \cdot 10^{-101}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;y \leq 10:\\ \;\;\;\;a \cdot b + z \cdot t\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]
Alternative 7
Error0.0
Cost704
\[a \cdot b + \left(x \cdot y + z \cdot t\right) \]
Alternative 8
Error41.4
Cost192
\[a \cdot b \]

Error

Reproduce

herbie shell --seed 2022330 
(FPCore (x y z t a b)
  :name "Linear.V3:$cdot from linear-1.19.1.3, B"
  :precision binary64
  (+ (+ (* x y) (* z t)) (* a b)))