| Alternative 1 | |
|---|---|
| Accuracy | 99.8% |
| Cost | 7232 |
\[\left(a + -0.3333333333333333\right) \cdot \left(1 + \frac{rand}{\sqrt{-3 + a \cdot 9}}\right)
\]
(FPCore (a rand) :precision binary64 (* (- a (/ 1.0 3.0)) (+ 1.0 (* (/ 1.0 (sqrt (* 9.0 (- a (/ 1.0 3.0))))) rand))))
(FPCore (a rand) :precision binary64 (* (+ a -0.3333333333333333) (+ 1.0 (/ rand (sqrt (fma a 9.0 -3.0))))))
double code(double a, double rand) {
return (a - (1.0 / 3.0)) * (1.0 + ((1.0 / sqrt((9.0 * (a - (1.0 / 3.0))))) * rand));
}
double code(double a, double rand) {
return (a + -0.3333333333333333) * (1.0 + (rand / sqrt(fma(a, 9.0, -3.0))));
}
function code(a, rand) return Float64(Float64(a - Float64(1.0 / 3.0)) * Float64(1.0 + Float64(Float64(1.0 / sqrt(Float64(9.0 * Float64(a - Float64(1.0 / 3.0))))) * rand))) end
function code(a, rand) return Float64(Float64(a + -0.3333333333333333) * Float64(1.0 + Float64(rand / sqrt(fma(a, 9.0, -3.0))))) end
code[a_, rand_] := N[(N[(a - N[(1.0 / 3.0), $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(N[(1.0 / N[Sqrt[N[(9.0 * N[(a - N[(1.0 / 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * rand), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
code[a_, rand_] := N[(N[(a + -0.3333333333333333), $MachinePrecision] * N[(1.0 + N[(rand / N[Sqrt[N[(a * 9.0 + -3.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\left(a - \frac{1}{3}\right) \cdot \left(1 + \frac{1}{\sqrt{9 \cdot \left(a - \frac{1}{3}\right)}} \cdot rand\right)
\left(a + -0.3333333333333333\right) \cdot \left(1 + \frac{rand}{\sqrt{\mathsf{fma}\left(a, 9, -3\right)}}\right)
Initial program 99.8%
Simplified99.8%
[Start]99.8 | \[ \left(a - \frac{1}{3}\right) \cdot \left(1 + \frac{1}{\sqrt{9 \cdot \left(a - \frac{1}{3}\right)}} \cdot rand\right)
\] |
|---|---|
remove-double-neg [<=]99.8 | \[ \color{blue}{\left(-\left(-\left(a - \frac{1}{3}\right)\right)\right)} \cdot \left(1 + \frac{1}{\sqrt{9 \cdot \left(a - \frac{1}{3}\right)}} \cdot rand\right)
\] |
remove-double-neg [=>]99.8 | \[ \color{blue}{\left(a - \frac{1}{3}\right)} \cdot \left(1 + \frac{1}{\sqrt{9 \cdot \left(a - \frac{1}{3}\right)}} \cdot rand\right)
\] |
sub-neg [=>]99.8 | \[ \color{blue}{\left(a + \left(-\frac{1}{3}\right)\right)} \cdot \left(1 + \frac{1}{\sqrt{9 \cdot \left(a - \frac{1}{3}\right)}} \cdot rand\right)
\] |
metadata-eval [=>]99.8 | \[ \left(a + \left(-\color{blue}{0.3333333333333333}\right)\right) \cdot \left(1 + \frac{1}{\sqrt{9 \cdot \left(a - \frac{1}{3}\right)}} \cdot rand\right)
\] |
metadata-eval [=>]99.8 | \[ \left(a + \color{blue}{-0.3333333333333333}\right) \cdot \left(1 + \frac{1}{\sqrt{9 \cdot \left(a - \frac{1}{3}\right)}} \cdot rand\right)
\] |
remove-double-neg [<=]99.8 | \[ \left(a + -0.3333333333333333\right) \cdot \left(1 + \color{blue}{\left(-\left(-\frac{1}{\sqrt{9 \cdot \left(a - \frac{1}{3}\right)}} \cdot rand\right)\right)}\right)
\] |
remove-double-neg [=>]99.8 | \[ \left(a + -0.3333333333333333\right) \cdot \left(1 + \color{blue}{\frac{1}{\sqrt{9 \cdot \left(a - \frac{1}{3}\right)}} \cdot rand}\right)
\] |
associate-*l/ [=>]99.8 | \[ \left(a + -0.3333333333333333\right) \cdot \left(1 + \color{blue}{\frac{1 \cdot rand}{\sqrt{9 \cdot \left(a - \frac{1}{3}\right)}}}\right)
\] |
*-lft-identity [=>]99.8 | \[ \left(a + -0.3333333333333333\right) \cdot \left(1 + \frac{\color{blue}{rand}}{\sqrt{9 \cdot \left(a - \frac{1}{3}\right)}}\right)
\] |
sub-neg [=>]99.8 | \[ \left(a + -0.3333333333333333\right) \cdot \left(1 + \frac{rand}{\sqrt{9 \cdot \color{blue}{\left(a + \left(-\frac{1}{3}\right)\right)}}}\right)
\] |
distribute-lft-in [=>]99.8 | \[ \left(a + -0.3333333333333333\right) \cdot \left(1 + \frac{rand}{\sqrt{\color{blue}{9 \cdot a + 9 \cdot \left(-\frac{1}{3}\right)}}}\right)
\] |
*-commutative [<=]99.8 | \[ \left(a + -0.3333333333333333\right) \cdot \left(1 + \frac{rand}{\sqrt{\color{blue}{a \cdot 9} + 9 \cdot \left(-\frac{1}{3}\right)}}\right)
\] |
fma-def [=>]99.8 | \[ \left(a + -0.3333333333333333\right) \cdot \left(1 + \frac{rand}{\sqrt{\color{blue}{\mathsf{fma}\left(a, 9, 9 \cdot \left(-\frac{1}{3}\right)\right)}}}\right)
\] |
metadata-eval [=>]99.8 | \[ \left(a + -0.3333333333333333\right) \cdot \left(1 + \frac{rand}{\sqrt{\mathsf{fma}\left(a, 9, 9 \cdot \left(-\color{blue}{0.3333333333333333}\right)\right)}}\right)
\] |
metadata-eval [=>]99.8 | \[ \left(a + -0.3333333333333333\right) \cdot \left(1 + \frac{rand}{\sqrt{\mathsf{fma}\left(a, 9, 9 \cdot \color{blue}{-0.3333333333333333}\right)}}\right)
\] |
metadata-eval [=>]99.8 | \[ \left(a + -0.3333333333333333\right) \cdot \left(1 + \frac{rand}{\sqrt{\mathsf{fma}\left(a, 9, \color{blue}{-3}\right)}}\right)
\] |
Final simplification99.8%
| Alternative 1 | |
|---|---|
| Accuracy | 99.8% |
| Cost | 7232 |
| Alternative 2 | |
|---|---|
| Accuracy | 91.6% |
| Cost | 7113 |
| Alternative 3 | |
|---|---|
| Accuracy | 98.5% |
| Cost | 7104 |
| Alternative 4 | |
|---|---|
| Accuracy | 99.7% |
| Cost | 7104 |
| Alternative 5 | |
|---|---|
| Accuracy | 90.6% |
| Cost | 6985 |
| Alternative 6 | |
|---|---|
| Accuracy | 71.7% |
| Cost | 192 |
| Alternative 7 | |
|---|---|
| Accuracy | 70.5% |
| Cost | 64 |
herbie shell --seed 2023146
(FPCore (a rand)
:name "Octave 3.8, oct_fill_randg"
:precision binary64
(* (- a (/ 1.0 3.0)) (+ 1.0 (* (/ 1.0 (sqrt (* 9.0 (- a (/ 1.0 3.0))))) rand))))