Average Error: 0.1 → 0.1
Time: 6.0s
Precision: binary64
\[x \cdot \cos y + z \cdot \sin y \]
\[\mathsf{fma}\left(\sin y, z, \cos y \cdot x\right) \]
x \cdot \cos y + z \cdot \sin y
\mathsf{fma}\left(\sin y, z, \cos y \cdot x\right)
(FPCore (x y z) :precision binary64 (+ (* x (cos y)) (* z (sin y))))
(FPCore (x y z) :precision binary64 (fma (sin y) z (* (cos y) x)))
double code(double x, double y, double z) {
	return (x * cos(y)) + (z * sin(y));
}
double code(double x, double y, double z) {
	return fma(sin(y), z, (cos(y) * x));
}

Error

Bits error versus x

Bits error versus y

Bits error versus z

Derivation

  1. Initial program 0.1

    \[x \cdot \cos y + z \cdot \sin y \]
  2. Simplified0.1

    \[\leadsto \color{blue}{\mathsf{fma}\left(x, \cos y, z \cdot \sin y\right)} \]
  3. Taylor expanded in x around 0 0.1

    \[\leadsto \color{blue}{\cos y \cdot x + \sin y \cdot z} \]
  4. Simplified0.1

    \[\leadsto \color{blue}{\mathsf{fma}\left(\sin y, z, \cos y \cdot x\right)} \]
  5. Applied pow1_binary640.1

    \[\leadsto \color{blue}{{\left(\mathsf{fma}\left(\sin y, z, \cos y \cdot x\right)\right)}^{1}} \]
  6. Final simplification0.1

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

Reproduce

herbie shell --seed 2022077 
(FPCore (x y z)
  :name "Diagrams.ThreeD.Transform:aboutY from diagrams-lib-1.3.0.3"
  :precision binary64
  (+ (* x (cos y)) (* z (sin y))))