| Alternative 1 | |
|---|---|
| Accuracy | 99.8% |
| Cost | 6784 |
\[\mathsf{fma}\left(y \cdot x, 3, -z\right)
\]

(FPCore (x y z) :precision binary64 (- (* (* x 3.0) y) z))
(FPCore (x y z) :precision binary64 (fma (* y x) 3.0 (- z)))
double code(double x, double y, double z) {
return ((x * 3.0) * y) - z;
}
double code(double x, double y, double z) {
return fma((y * x), 3.0, -z);
}
function code(x, y, z) return Float64(Float64(Float64(x * 3.0) * y) - z) end
function code(x, y, z) return fma(Float64(y * x), 3.0, Float64(-z)) end
code[x_, y_, z_] := N[(N[(N[(x * 3.0), $MachinePrecision] * y), $MachinePrecision] - z), $MachinePrecision]
code[x_, y_, z_] := N[(N[(y * x), $MachinePrecision] * 3.0 + (-z)), $MachinePrecision]
\left(x \cdot 3\right) \cdot y - z
\mathsf{fma}\left(y \cdot x, 3, -z\right)
Herbie found 5 alternatives:
| Alternative | Accuracy | Speedup |
|---|
| Original | 99.8% |
|---|---|
| Target | 99.8% |
| Herbie | 99.8% |
Initial program 99.8%
Taylor expanded in x around 0 99.9%
Applied egg-rr99.9%
[Start]99.9% | \[ 3 \cdot \left(y \cdot x\right) - z
\] |
|---|---|
*-commutative [=>]99.9% | \[ \color{blue}{\left(y \cdot x\right) \cdot 3} - z
\] |
fma-neg [=>]99.9% | \[ \color{blue}{\mathsf{fma}\left(y \cdot x, 3, -z\right)}
\] |
Final simplification99.9%
| Alternative 1 | |
|---|---|
| Accuracy | 99.8% |
| Cost | 6784 |
| Alternative 2 | |
|---|---|
| Accuracy | 70.1% |
| Cost | 849 |
| Alternative 3 | |
|---|---|
| Accuracy | 99.8% |
| Cost | 448 |
| Alternative 4 | |
|---|---|
| Accuracy | 51.2% |
| Cost | 128 |
| Alternative 5 | |
|---|---|
| Accuracy | 2.3% |
| Cost | 64 |
herbie shell --seed 2023272
(FPCore (x y z)
:name "Diagrams.Solve.Polynomial:cubForm from diagrams-solve-0.1, B"
:precision binary64
:herbie-target
(- (* x (* 3.0 y)) z)
(- (* (* x 3.0) y) z))