SynthBasics:oscSampleBasedAux from YampaSynth-0.2

Average Accuracy: 100.0% → 100.0%

Time: 6.8s

Precision: binary64

Cost: 6720

Math

\[x + y \cdot \left(z - x\right) \]

↓

\[\mathsf{fma}\left(y, z - x, x\right) \]

FPCore

(FPCore (x y z) :precision binary64 (+ x (* y (- z x))))

↓

(FPCore (x y z) :precision binary64 (fma y (- z x) x))

C

double code(double x, double y, double z) {
	return x + (y * (z - x));
}

↓

double code(double x, double y, double z) {
	return fma(y, (z - x), x);
}

Julia

function code(x, y, z)
	return Float64(x + Float64(y * Float64(z - x)))
end

↓

function code(x, y, z)
	return fma(y, Float64(z - x), x)
end

Wolfram

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

↓

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

Derivation

1. Initial program 100.0%

   \[x + y \cdot \left(z - x\right) \]

2. Simplified 100.0%

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

   [Start] 100.0	\[ x + y \cdot \left(z - x\right) \]
   +-commutative [=>] 100.0	\[ \color{blue}{y \cdot \left(z - x\right) + x} \]
   fma-def [=>] 100.0	\[ \color{blue}{\mathsf{fma}\left(y, z - x, x\right)} \]

3. Final simplification 100.0%

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

Alternatives

Alternative 1
Accuracy	62.5%
Cost	1180

\[\begin{array}{l} t_0 := y \cdot \left(-x\right)\\ \mathbf{if}\;y \leq -3.4 \cdot 10^{+234}:\\ \;\;\;\;y \cdot z\\ \mathbf{elif}\;y \leq -3.6 \cdot 10^{+45}:\\ \;\;\;\;t_0\\ \mathbf{elif}\;y \leq -1.8 \cdot 10^{-30}:\\ \;\;\;\;y \cdot z\\ \mathbf{elif}\;y \leq 2.2 \cdot 10^{-61}:\\ \;\;\;\;x\\ \mathbf{elif}\;y \leq 1.8 \cdot 10^{-44}:\\ \;\;\;\;y \cdot z\\ \mathbf{elif}\;y \leq 1.3 \cdot 10^{-10}:\\ \;\;\;\;x\\ \mathbf{elif}\;y \leq 2 \cdot 10^{+45}:\\ \;\;\;\;t_0\\ \mathbf{else}:\\ \;\;\;\;y \cdot z\\ \end{array} \]

Alternative 2
Accuracy	73.8%
Cost	850

\[\begin{array}{l} \mathbf{if}\;x \leq -0.00135 \lor \neg \left(x \leq -2.9 \cdot 10^{-56}\right) \land \left(x \leq -9.2 \cdot 10^{-110} \lor \neg \left(x \leq 3.4 \cdot 10^{-71}\right)\right):\\ \;\;\;\;x \cdot \left(1 - y\right)\\ \mathbf{else}:\\ \;\;\;\;y \cdot z\\ \end{array} \]

Alternative 3
Accuracy	79.0%
Cost	585

\[\begin{array}{l} \mathbf{if}\;x \leq -10500000 \lor \neg \left(x \leq 3800\right):\\ \;\;\;\;x \cdot \left(1 - y\right)\\ \mathbf{else}:\\ \;\;\;\;y \cdot \left(z - x\right)\\ \end{array} \]

Alternative 4
Accuracy	98.6%
Cost	585

\[\begin{array}{l} \mathbf{if}\;y \leq -39000000 \lor \neg \left(y \leq 1\right):\\ \;\;\;\;y \cdot \left(z - x\right)\\ \mathbf{else}:\\ \;\;\;\;x + y \cdot z\\ \end{array} \]

Alternative 5
Accuracy	100.0%
Cost	576

\[x + \left(y \cdot z - y \cdot x\right) \]

Alternative 6
Accuracy	100.0%
Cost	576

\[y \cdot z + \left(x - y \cdot x\right) \]

Alternative 7
Accuracy	61.2%
Cost	456

\[\begin{array}{l} \mathbf{if}\;x \leq -6500000000:\\ \;\;\;\;x\\ \mathbf{elif}\;x \leq 1.05 \cdot 10^{-20}:\\ \;\;\;\;y \cdot z\\ \mathbf{else}:\\ \;\;\;\;x\\ \end{array} \]

Alternative 8
Accuracy	100.0%
Cost	448

\[x + y \cdot \left(z - x\right) \]

Alternative 9
Accuracy	46.2%
Cost	64

\[x \]

Reproduce

herbie shell --seed 2023135 
(FPCore (x y z)
  :name "SynthBasics:oscSampleBasedAux from YampaSynth-0.2"
  :precision binary64
  (+ x (* y (- z x))))