?

Average Error: 0.0 → 0.0
Time: 5.3s
Precision: binary64
Cost: 13248

?

\[\left(\frac{1}{8} \cdot x - \frac{y \cdot z}{2}\right) + t \]
\[\mathsf{fma}\left(z, -0.5 \cdot y, \mathsf{fma}\left(0.125, x, t\right)\right) \]
(FPCore (x y z t)
 :precision binary64
 (+ (- (* (/ 1.0 8.0) x) (/ (* y z) 2.0)) t))
(FPCore (x y z t) :precision binary64 (fma z (* -0.5 y) (fma 0.125 x t)))
double code(double x, double y, double z, double t) {
	return (((1.0 / 8.0) * x) - ((y * z) / 2.0)) + t;
}
double code(double x, double y, double z, double t) {
	return fma(z, (-0.5 * y), fma(0.125, x, t));
}
function code(x, y, z, t)
	return Float64(Float64(Float64(Float64(1.0 / 8.0) * x) - Float64(Float64(y * z) / 2.0)) + t)
end
function code(x, y, z, t)
	return fma(z, Float64(-0.5 * y), fma(0.125, x, t))
end
code[x_, y_, z_, t_] := N[(N[(N[(N[(1.0 / 8.0), $MachinePrecision] * x), $MachinePrecision] - N[(N[(y * z), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] + t), $MachinePrecision]
code[x_, y_, z_, t_] := N[(z * N[(-0.5 * y), $MachinePrecision] + N[(0.125 * x + t), $MachinePrecision]), $MachinePrecision]
\left(\frac{1}{8} \cdot x - \frac{y \cdot z}{2}\right) + t
\mathsf{fma}\left(z, -0.5 \cdot y, \mathsf{fma}\left(0.125, x, t\right)\right)

Error?

Target

Original0.0
Target0.0
Herbie0.0
\[\left(\frac{x}{8} + t\right) - \frac{z}{2} \cdot y \]

Derivation?

  1. Initial program 0.0

    \[\left(\frac{1}{8} \cdot x - \frac{y \cdot z}{2}\right) + t \]
  2. Simplified0.0

    \[\leadsto \color{blue}{\mathsf{fma}\left(z, -0.5 \cdot y, \mathsf{fma}\left(0.125, x, t\right)\right)} \]
    Proof

    [Start]0.0

    \[ \left(\frac{1}{8} \cdot x - \frac{y \cdot z}{2}\right) + t \]

    sub-neg [=>]0.0

    \[ \color{blue}{\left(\frac{1}{8} \cdot x + \left(-\frac{y \cdot z}{2}\right)\right)} + t \]

    +-commutative [=>]0.0

    \[ \color{blue}{\left(\left(-\frac{y \cdot z}{2}\right) + \frac{1}{8} \cdot x\right)} + t \]

    associate-+l+ [=>]0.0

    \[ \color{blue}{\left(-\frac{y \cdot z}{2}\right) + \left(\frac{1}{8} \cdot x + t\right)} \]

    neg-mul-1 [=>]0.0

    \[ \color{blue}{-1 \cdot \frac{y \cdot z}{2}} + \left(\frac{1}{8} \cdot x + t\right) \]

    associate-*l/ [<=]0.0

    \[ -1 \cdot \color{blue}{\left(\frac{y}{2} \cdot z\right)} + \left(\frac{1}{8} \cdot x + t\right) \]

    associate-*r* [=>]0.0

    \[ \color{blue}{\left(-1 \cdot \frac{y}{2}\right) \cdot z} + \left(\frac{1}{8} \cdot x + t\right) \]

    *-commutative [=>]0.0

    \[ \color{blue}{z \cdot \left(-1 \cdot \frac{y}{2}\right)} + \left(\frac{1}{8} \cdot x + t\right) \]

    +-commutative [<=]0.0

    \[ z \cdot \left(-1 \cdot \frac{y}{2}\right) + \color{blue}{\left(t + \frac{1}{8} \cdot x\right)} \]

    fma-def [=>]0.0

    \[ \color{blue}{\mathsf{fma}\left(z, -1 \cdot \frac{y}{2}, t + \frac{1}{8} \cdot x\right)} \]

    associate-*r/ [=>]0.0

    \[ \mathsf{fma}\left(z, \color{blue}{\frac{-1 \cdot y}{2}}, t + \frac{1}{8} \cdot x\right) \]

    associate-/l* [=>]0.0

    \[ \mathsf{fma}\left(z, \color{blue}{\frac{-1}{\frac{2}{y}}}, t + \frac{1}{8} \cdot x\right) \]

    associate-/r/ [=>]0.0

    \[ \mathsf{fma}\left(z, \color{blue}{\frac{-1}{2} \cdot y}, t + \frac{1}{8} \cdot x\right) \]

    metadata-eval [=>]0.0

    \[ \mathsf{fma}\left(z, \color{blue}{-0.5} \cdot y, t + \frac{1}{8} \cdot x\right) \]

    +-commutative [=>]0.0

    \[ \mathsf{fma}\left(z, -0.5 \cdot y, \color{blue}{\frac{1}{8} \cdot x + t}\right) \]

    fma-def [=>]0.0

    \[ \mathsf{fma}\left(z, -0.5 \cdot y, \color{blue}{\mathsf{fma}\left(\frac{1}{8}, x, t\right)}\right) \]

    metadata-eval [=>]0.0

    \[ \mathsf{fma}\left(z, -0.5 \cdot y, \mathsf{fma}\left(\color{blue}{0.125}, x, t\right)\right) \]
  3. Final simplification0.0

    \[\leadsto \mathsf{fma}\left(z, -0.5 \cdot y, \mathsf{fma}\left(0.125, x, t\right)\right) \]

Alternatives

Alternative 1
Error29.4
Cost1380
\[\begin{array}{l} t_1 := z \cdot \left(-0.5 \cdot y\right)\\ \mathbf{if}\;t \leq -7.5 \cdot 10^{+82}:\\ \;\;\;\;t\\ \mathbf{elif}\;t \leq -3.7 \cdot 10^{-34}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;t \leq -2.9 \cdot 10^{-131}:\\ \;\;\;\;0.125 \cdot x\\ \mathbf{elif}\;t \leq -3.1 \cdot 10^{-172}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;t \leq -1.7 \cdot 10^{-185}:\\ \;\;\;\;0.125 \cdot x\\ \mathbf{elif}\;t \leq 1.95 \cdot 10^{-205}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;t \leq 2 \cdot 10^{-135}:\\ \;\;\;\;0.125 \cdot x\\ \mathbf{elif}\;t \leq 3 \cdot 10^{-119}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;t \leq 2.02 \cdot 10^{+71}:\\ \;\;\;\;0.125 \cdot x\\ \mathbf{else}:\\ \;\;\;\;t\\ \end{array} \]
Alternative 2
Error19.4
Cost1113
\[\begin{array}{l} t_1 := t + 0.125 \cdot x\\ t_2 := z \cdot \left(-0.5 \cdot y\right)\\ \mathbf{if}\;t \leq -3.8 \cdot 10^{-131}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;t \leq -3.8 \cdot 10^{-172}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;t \leq -1.32 \cdot 10^{-186}:\\ \;\;\;\;0.125 \cdot x\\ \mathbf{elif}\;t \leq 1.35 \cdot 10^{-216} \lor \neg \left(t \leq 4.8 \cdot 10^{-136}\right) \land t \leq 1.7 \cdot 10^{-118}:\\ \;\;\;\;t_2\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]
Alternative 3
Error8.7
Cost969
\[\begin{array}{l} \mathbf{if}\;z \cdot y \leq -5 \cdot 10^{+23} \lor \neg \left(z \cdot y \leq 10^{+30}\right):\\ \;\;\;\;t + -0.5 \cdot \left(z \cdot y\right)\\ \mathbf{else}:\\ \;\;\;\;t + 0.125 \cdot x\\ \end{array} \]
Alternative 4
Error8.6
Cost841
\[\begin{array}{l} \mathbf{if}\;t \leq -8 \cdot 10^{+82} \lor \neg \left(t \leq 3 \cdot 10^{-40}\right):\\ \;\;\;\;t + 0.125 \cdot x\\ \mathbf{else}:\\ \;\;\;\;0.125 \cdot x + -0.5 \cdot \left(z \cdot y\right)\\ \end{array} \]
Alternative 5
Error0.0
Cost704
\[t + \left(0.125 \cdot x - z \cdot \frac{y}{2}\right) \]
Alternative 6
Error28.2
Cost456
\[\begin{array}{l} \mathbf{if}\;x \leq -2.8 \cdot 10^{+64}:\\ \;\;\;\;0.125 \cdot x\\ \mathbf{elif}\;x \leq 1.6 \cdot 10^{+77}:\\ \;\;\;\;t\\ \mathbf{else}:\\ \;\;\;\;0.125 \cdot x\\ \end{array} \]
Alternative 7
Error40.1
Cost64
\[t \]

Error

Reproduce?

herbie shell --seed 2023018 
(FPCore (x y z t)
  :name "Diagrams.Solve.Polynomial:quartForm  from diagrams-solve-0.1, B"
  :precision binary64

  :herbie-target
  (- (+ (/ x 8.0) t) (* (/ z 2.0) y))

  (+ (- (* (/ 1.0 8.0) x) (/ (* y z) 2.0)) t))