Diagrams.Solve.Polynomial:quadForm from diagrams-solve-0.1, B

Average Accuracy: 99.8% → 99.8%

Time: 9.8s

Precision: binary64

Cost: 13120

Math

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

↓

\[0.5 \cdot \mathsf{fma}\left(y, \sqrt{z}, x\right) \]

FPCore

(FPCore (x y z) :precision binary64 (* (/ 1.0 2.0) (+ x (* y (sqrt z)))))

↓

(FPCore (x y z) :precision binary64 (* 0.5 (fma y (sqrt z) x)))

C

double code(double x, double y, double z) {
	return (1.0 / 2.0) * (x + (y * sqrt(z)));
}

↓

double code(double x, double y, double z) {
	return 0.5 * fma(y, sqrt(z), x);
}

Julia

function code(x, y, z)
	return Float64(Float64(1.0 / 2.0) * Float64(x + Float64(y * sqrt(z))))
end

↓

function code(x, y, z)
	return Float64(0.5 * fma(y, sqrt(z), x))
end

Wolfram

code[x_, y_, z_] := N[(N[(1.0 / 2.0), $MachinePrecision] * N[(x + N[(y * N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

↓

code[x_, y_, z_] := N[(0.5 * N[(y * N[Sqrt[z], $MachinePrecision] + x), $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 99.8%

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

2. Simplified 99.8%

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

   [Start] 99.8	\[ \frac{1}{2} \cdot \left(x + y \cdot \sqrt{z}\right) \]
   metadata-eval [=>] 99.8	\[ \color{blue}{0.5} \cdot \left(x + y \cdot \sqrt{z}\right) \]
   +-commutative [=>] 99.8	\[ 0.5 \cdot \color{blue}{\left(y \cdot \sqrt{z} + x\right)} \]
   fma-def [=>] 99.8	\[ 0.5 \cdot \color{blue}{\mathsf{fma}\left(y, \sqrt{z}, x\right)} \]

3. Final simplification 99.8%

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

Alternatives

Alternative 1
Accuracy	75.4%
Cost	7576

\[\begin{array}{l} t_0 := 0.5 \cdot \frac{y}{{z}^{-0.5}}\\ \mathbf{if}\;x \leq -1.1 \cdot 10^{+50}:\\ \;\;\;\;0.5 \cdot x\\ \mathbf{elif}\;x \leq -850000:\\ \;\;\;\;t_0\\ \mathbf{elif}\;x \leq -2.3 \cdot 10^{-34}:\\ \;\;\;\;0.5 \cdot x\\ \mathbf{elif}\;x \leq 750000000000:\\ \;\;\;\;0.5 \cdot \left(y \cdot \sqrt{z}\right)\\ \mathbf{elif}\;x \leq 4.5 \cdot 10^{+52}:\\ \;\;\;\;0.5 \cdot x\\ \mathbf{elif}\;x \leq 3.85 \cdot 10^{+65}:\\ \;\;\;\;t_0\\ \mathbf{else}:\\ \;\;\;\;0.5 \cdot x\\ \end{array} \]

Alternative 2
Accuracy	75.3%
Cost	7514

\[\begin{array}{l} \mathbf{if}\;x \leq -1.1 \cdot 10^{+50}:\\ \;\;\;\;0.5 \cdot x\\ \mathbf{elif}\;x \leq -2950000 \lor \neg \left(x \leq -9.2 \cdot 10^{-32}\right) \land \left(x \leq 750000000000 \lor \neg \left(x \leq 2.4 \cdot 10^{+47}\right) \land x \leq 1.3 \cdot 10^{+64}\right):\\ \;\;\;\;0.5 \cdot \left(y \cdot \sqrt{z}\right)\\ \mathbf{else}:\\ \;\;\;\;0.5 \cdot x\\ \end{array} \]

Alternative 3
Accuracy	99.8%
Cost	6848

\[0.5 \cdot \left(x + y \cdot \sqrt{z}\right) \]

Alternative 4
Accuracy	53.5%
Cost	192

\[0.5 \cdot x \]

Reproduce

herbie shell --seed 2023137 
(FPCore (x y z)
  :name "Diagrams.Solve.Polynomial:quadForm from diagrams-solve-0.1, B"
  :precision binary64
  (* (/ 1.0 2.0) (+ x (* y (sqrt z)))))