Average Error: 0.1 → 0.1
Time: 12.2s
Precision: binary64
Cost: 19520
\[x \cdot \sin y + z \cdot \cos y \]
↓
\[\mathsf{fma}\left(x, \sin y, z \cdot \cos y\right) \]
(FPCore (x y z) :precision binary64 (+ (* x (sin y)) (* z (cos y))))
↓
(FPCore (x y z) :precision binary64 (fma x (sin y) (* z (cos y))))
double code(double x, double y, double z) {
	return (x * sin(y)) + (z * cos(y));
}
↓
double code(double x, double y, double z) {
	return fma(x, sin(y), (z * cos(y)));
}

function code(x, y, z)
	return Float64(Float64(x * sin(y)) + Float64(z * cos(y)))
end
↓
function code(x, y, z)
	return fma(x, sin(y), Float64(z * cos(y)))
end

code[x_, y_, z_] := N[(N[(x * N[Sin[y], $MachinePrecision]), $MachinePrecision] + N[(z * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
↓
code[x_, y_, z_] := N[(x * N[Sin[y], $MachinePrecision] + N[(z * N[Cos[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

x \cdot \sin y + z \cdot \cos y
↓
\mathsf{fma}\left(x, \sin y, z \cdot \cos y\right)

Error

Derivation

  1. Initial program 0.1

    \[x \cdot \sin y + z \cdot \cos y \]

  2. Simplified0.1

    \[\leadsto \color{blue}{\mathsf{fma}\left(x, \sin y, z \cdot \cos y\right)} \]
    Proof
    (fma.f64 x (sin.f64 y) (*.f64 z (cos.f64 y))): 0 points increase in error, 0 points decrease in error
    (Rewrite<= fma-def_binary64 (+.f64 (*.f64 x (sin.f64 y)) (*.f64 z (cos.f64 y)))): 2 points increase in error, 1 points decrease in error

  3. Final simplification0.1

    \[\leadsto \mathsf{fma}\left(x, \sin y, z \cdot \cos y\right) \]

Alternatives

Alternative 1
Error0.1
Cost13248
\[z \cdot \cos y + x \cdot \sin y \]
Alternative 2
Error15.9
Cost7120
\[\begin{array}{l} t_0 := z \cdot \cos y\\ t_1 := x \cdot \sin y\\ \mathbf{if}\;y \leq -1.6168061700794143 \cdot 10^{+169}:\\ \;\;\;\;t_0\\ \mathbf{elif}\;y \leq -1.3948637207315615 \cdot 10^{+61}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;y \leq -959.0349490808583:\\ \;\;\;\;t_0\\ \mathbf{elif}\;y \leq 0.005942722395923747:\\ \;\;\;\;\mathsf{fma}\left(y, x, z\right)\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]
Alternative 3
Error9.0
Cost6984
\[\begin{array}{l} t_0 := z \cdot \cos y\\ \mathbf{if}\;z \leq -1.080432655908187 \cdot 10^{+150}:\\ \;\;\;\;t_0\\ \mathbf{elif}\;z \leq 4107690573.1902866:\\ \;\;\;\;z + x \cdot \sin y\\ \mathbf{else}:\\ \;\;\;\;t_0\\ \end{array} \]
Alternative 4
Error15.8
Cost6856
\[\begin{array}{l} t_0 := x \cdot \sin y\\ \mathbf{if}\;y \leq -959.0349490808583:\\ \;\;\;\;t_0\\ \mathbf{elif}\;y \leq 0.005942722395923747:\\ \;\;\;\;\mathsf{fma}\left(y, x, z\right)\\ \mathbf{else}:\\ \;\;\;\;t_0\\ \end{array} \]
Alternative 5
Error30.5
Cost6592
\[\mathsf{fma}\left(y, x, z\right) \]
Alternative 6
Error37.2
Cost456
\[\begin{array}{l} \mathbf{if}\;x \leq -1.2826271804531433 \cdot 10^{+179}:\\ \;\;\;\;x \cdot y\\ \mathbf{elif}\;x \leq 2.869573731382885 \cdot 10^{+251}:\\ \;\;\;\;z\\ \mathbf{else}:\\ \;\;\;\;x \cdot y\\ \end{array} \]
Alternative 7
Error30.5
Cost320
\[z + x \cdot y \]
Alternative 8
Error38.7
Cost64
\[z \]

Error

Reproduce

herbie shell --seed 2022300 
(FPCore (x y z)
  :name "Diagrams.ThreeD.Transform:aboutX from diagrams-lib-1.3.0.3, B"
  :precision binary64
  (+ (* x (sin y)) (* z (cos y))))