| Alternative 1 | |
|---|---|
| Accuracy | 99.3% |
| Cost | 14016 |
\[\frac{c \cdot -4}{a \cdot 2} \cdot \frac{a}{b + \sqrt{\mathsf{fma}\left(c, a \cdot -4, b \cdot b\right)}}
\]
(FPCore (a b c) :precision binary64 (/ (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)))
(FPCore (a b c) :precision binary64 (* -4.0 (/ (* c a) (* a (* 2.0 (+ b (sqrt (fma c (* a -4.0) (* b b)))))))))
double code(double a, double b, double c) {
return (-b + sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a);
}
double code(double a, double b, double c) {
return -4.0 * ((c * a) / (a * (2.0 * (b + sqrt(fma(c, (a * -4.0), (b * b)))))));
}
function code(a, b, c) return Float64(Float64(Float64(-b) + sqrt(Float64(Float64(b * b) - Float64(Float64(4.0 * a) * c)))) / Float64(2.0 * a)) end
function code(a, b, c) return Float64(-4.0 * Float64(Float64(c * a) / Float64(a * Float64(2.0 * Float64(b + sqrt(fma(c, Float64(a * -4.0), Float64(b * b)))))))) end
code[a_, b_, c_] := N[(N[((-b) + N[Sqrt[N[(N[(b * b), $MachinePrecision] - N[(N[(4.0 * a), $MachinePrecision] * c), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision]
code[a_, b_, c_] := N[(-4.0 * N[(N[(c * a), $MachinePrecision] / N[(a * N[(2.0 * N[(b + N[Sqrt[N[(c * N[(a * -4.0), $MachinePrecision] + N[(b * b), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\frac{\left(-b\right) + \sqrt{b \cdot b - \left(4 \cdot a\right) \cdot c}}{2 \cdot a}
-4 \cdot \frac{c \cdot a}{a \cdot \left(2 \cdot \left(b + \sqrt{\mathsf{fma}\left(c, a \cdot -4, b \cdot b\right)}\right)\right)}
Initial program 56.0%
Simplified56.0%
[Start]56.0 | \[ \frac{\left(-b\right) + \sqrt{b \cdot b - \left(4 \cdot a\right) \cdot c}}{2 \cdot a}
\] |
|---|---|
*-commutative [=>]56.0 | \[ \frac{\left(-b\right) + \sqrt{b \cdot b - \left(4 \cdot a\right) \cdot c}}{\color{blue}{a \cdot 2}}
\] |
Applied egg-rr57.3%
Taylor expanded in b around 0 99.3%
Applied egg-rr99.2%
Simplified99.3%
[Start]99.2 | \[ \frac{\frac{-4 \cdot \left(c \cdot a\right)}{b + {\left(\mathsf{fma}\left(b, b, c \cdot \left(a \cdot -4\right)\right)\right)}^{0.25} \cdot {\left(\mathsf{fma}\left(b, b, c \cdot \left(a \cdot -4\right)\right)\right)}^{0.25}}}{a \cdot 2}
\] |
|---|---|
pow-sqr [=>]99.3 | \[ \frac{\frac{-4 \cdot \left(c \cdot a\right)}{b + \color{blue}{{\left(\mathsf{fma}\left(b, b, c \cdot \left(a \cdot -4\right)\right)\right)}^{\left(2 \cdot 0.25\right)}}}}{a \cdot 2}
\] |
metadata-eval [=>]99.3 | \[ \frac{\frac{-4 \cdot \left(c \cdot a\right)}{b + {\left(\mathsf{fma}\left(b, b, c \cdot \left(a \cdot -4\right)\right)\right)}^{\color{blue}{0.5}}}}{a \cdot 2}
\] |
unpow1/2 [=>]99.3 | \[ \frac{\frac{-4 \cdot \left(c \cdot a\right)}{b + \color{blue}{\sqrt{\mathsf{fma}\left(b, b, c \cdot \left(a \cdot -4\right)\right)}}}}{a \cdot 2}
\] |
fma-def [<=]99.3 | \[ \frac{\frac{-4 \cdot \left(c \cdot a\right)}{b + \sqrt{\color{blue}{b \cdot b + c \cdot \left(a \cdot -4\right)}}}}{a \cdot 2}
\] |
+-commutative [=>]99.3 | \[ \frac{\frac{-4 \cdot \left(c \cdot a\right)}{b + \sqrt{\color{blue}{c \cdot \left(a \cdot -4\right) + b \cdot b}}}}{a \cdot 2}
\] |
fma-def [=>]99.3 | \[ \frac{\frac{-4 \cdot \left(c \cdot a\right)}{b + \sqrt{\color{blue}{\mathsf{fma}\left(c, a \cdot -4, b \cdot b\right)}}}}{a \cdot 2}
\] |
Applied egg-rr99.3%
Final simplification99.3%
| Alternative 1 | |
|---|---|
| Accuracy | 99.3% |
| Cost | 14016 |
| Alternative 2 | |
|---|---|
| Accuracy | 99.3% |
| Cost | 13888 |
| Alternative 3 | |
|---|---|
| Accuracy | 99.3% |
| Cost | 7744 |
| Alternative 4 | |
|---|---|
| Accuracy | 85.2% |
| Cost | 7492 |
| Alternative 5 | |
|---|---|
| Accuracy | 85.2% |
| Cost | 7492 |
| Alternative 6 | |
|---|---|
| Accuracy | 81.8% |
| Cost | 1344 |
| Alternative 7 | |
|---|---|
| Accuracy | 81.8% |
| Cost | 1344 |
| Alternative 8 | |
|---|---|
| Accuracy | 63.9% |
| Cost | 256 |
| Alternative 9 | |
|---|---|
| Accuracy | 1.6% |
| Cost | 192 |
herbie shell --seed 2023129
(FPCore (a b c)
:name "Quadratic roots, narrow range"
:precision binary64
:pre (and (and (and (< 1.0536712127723509e-8 a) (< a 94906265.62425156)) (and (< 1.0536712127723509e-8 b) (< b 94906265.62425156))) (and (< 1.0536712127723509e-8 c) (< c 94906265.62425156)))
(/ (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)))