| Alternative 1 | |
|---|---|
| Error | 0.3 |
| Cost | 20160 |
\[\left(\left(\log \left(x + y\right) + \log z\right) - t\right) + \frac{a + -0.5}{\frac{1}{\log t}}
\]
(FPCore (x y z t a) :precision binary64 (+ (- (+ (log (+ x y)) (log z)) t) (* (- a 0.5) (log t))))
(FPCore (x y z t a) :precision binary64 (+ (log (+ x y)) (- (fma (+ a -0.5) (log t) (log z)) t)))
double code(double x, double y, double z, double t, double a) {
return ((log((x + y)) + log(z)) - t) + ((a - 0.5) * log(t));
}
double code(double x, double y, double z, double t, double a) {
return log((x + y)) + (fma((a + -0.5), log(t), log(z)) - t);
}
function code(x, y, z, t, a) return Float64(Float64(Float64(log(Float64(x + y)) + log(z)) - t) + Float64(Float64(a - 0.5) * log(t))) end
function code(x, y, z, t, a) return Float64(log(Float64(x + y)) + Float64(fma(Float64(a + -0.5), log(t), log(z)) - t)) end
code[x_, y_, z_, t_, a_] := N[(N[(N[(N[Log[N[(x + y), $MachinePrecision]], $MachinePrecision] + N[Log[z], $MachinePrecision]), $MachinePrecision] - t), $MachinePrecision] + N[(N[(a - 0.5), $MachinePrecision] * N[Log[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
code[x_, y_, z_, t_, a_] := N[(N[Log[N[(x + y), $MachinePrecision]], $MachinePrecision] + N[(N[(N[(a + -0.5), $MachinePrecision] * N[Log[t], $MachinePrecision] + N[Log[z], $MachinePrecision]), $MachinePrecision] - t), $MachinePrecision]), $MachinePrecision]
\left(\left(\log \left(x + y\right) + \log z\right) - t\right) + \left(a - 0.5\right) \cdot \log t
\log \left(x + y\right) + \left(\mathsf{fma}\left(a + -0.5, \log t, \log z\right) - t\right)
| Original | 0.3 |
|---|---|
| Target | 0.3 |
| Herbie | 0.3 |
Initial program 0.3
Simplified0.3
[Start]0.3 | \[ \left(\left(\log \left(x + y\right) + \log z\right) - t\right) + \left(a - 0.5\right) \cdot \log t
\] |
|---|---|
associate-+l- [=>]0.3 | \[ \color{blue}{\left(\log \left(x + y\right) + \log z\right) - \left(t - \left(a - 0.5\right) \cdot \log t\right)}
\] |
associate--l+ [=>]0.3 | \[ \color{blue}{\log \left(x + y\right) + \left(\log z - \left(t - \left(a - 0.5\right) \cdot \log t\right)\right)}
\] |
associate-+l- [<=]0.3 | \[ \log \left(x + y\right) + \color{blue}{\left(\left(\log z - t\right) + \left(a - 0.5\right) \cdot \log t\right)}
\] |
+-commutative [=>]0.3 | \[ \log \left(x + y\right) + \color{blue}{\left(\left(a - 0.5\right) \cdot \log t + \left(\log z - t\right)\right)}
\] |
associate-+r- [=>]0.3 | \[ \log \left(x + y\right) + \color{blue}{\left(\left(\left(a - 0.5\right) \cdot \log t + \log z\right) - t\right)}
\] |
fma-def [=>]0.3 | \[ \log \left(x + y\right) + \left(\color{blue}{\mathsf{fma}\left(a - 0.5, \log t, \log z\right)} - t\right)
\] |
sub-neg [=>]0.3 | \[ \log \left(x + y\right) + \left(\mathsf{fma}\left(\color{blue}{a + \left(-0.5\right)}, \log t, \log z\right) - t\right)
\] |
metadata-eval [=>]0.3 | \[ \log \left(x + y\right) + \left(\mathsf{fma}\left(a + \color{blue}{-0.5}, \log t, \log z\right) - t\right)
\] |
Final simplification0.3
| Alternative 1 | |
|---|---|
| Error | 0.3 |
| Cost | 20160 |
| Alternative 2 | |
|---|---|
| Error | 9.1 |
| Cost | 20036 |
| Alternative 3 | |
|---|---|
| Error | 0.3 |
| Cost | 20032 |
| Alternative 4 | |
|---|---|
| Error | 12.5 |
| Cost | 19908 |
| Alternative 5 | |
|---|---|
| Error | 12.5 |
| Cost | 19908 |
| Alternative 6 | |
|---|---|
| Error | 20.5 |
| Cost | 19908 |
| Alternative 7 | |
|---|---|
| Error | 20.5 |
| Cost | 19908 |
| Alternative 8 | |
|---|---|
| Error | 20.2 |
| Cost | 19904 |
| Alternative 9 | |
|---|---|
| Error | 16.1 |
| Cost | 13904 |
| Alternative 10 | |
|---|---|
| Error | 15.8 |
| Cost | 13904 |
| Alternative 11 | |
|---|---|
| Error | 8.5 |
| Cost | 13636 |
| Alternative 12 | |
|---|---|
| Error | 17.0 |
| Cost | 13508 |
| Alternative 13 | |
|---|---|
| Error | 16.4 |
| Cost | 13380 |
| Alternative 14 | |
|---|---|
| Error | 14.7 |
| Cost | 13248 |
| Alternative 15 | |
|---|---|
| Error | 24.1 |
| Cost | 6857 |
| Alternative 16 | |
|---|---|
| Error | 14.6 |
| Cost | 6848 |
| Alternative 17 | |
|---|---|
| Error | 39.9 |
| Cost | 128 |
herbie shell --seed 2023039
(FPCore (x y z t a)
:name "Numeric.SpecFunctions:logGammaL from math-functions-0.1.5.2"
:precision binary64
:herbie-target
(+ (log (+ x y)) (+ (- (log z) t) (* (- a 0.5) (log t))))
(+ (- (+ (log (+ x y)) (log z)) t) (* (- a 0.5) (log t))))