| Alternative 1 | |
|---|---|
| Error | 1.8 |
| Cost | 33536 |
\[\mathsf{fma}\left(-0.375, a \cdot \frac{c}{\frac{{b}^{3}}{c}}, \mathsf{fma}\left(-0.5, \frac{c}{b}, \frac{{c}^{3} \cdot \left(-0.5625 \cdot \left(a \cdot a\right)\right)}{{b}^{5}}\right)\right)
\]
(FPCore (a b c) :precision binary64 (/ (+ (- b) (sqrt (- (* b b) (* (* 3.0 a) c)))) (* 3.0 a)))
(FPCore (a b c)
:precision binary64
(fma
-0.5625
(* (* a a) (* (* c c) (* c (pow b -5.0))))
(fma
-0.5
(/ c b)
(fma
-0.16666666666666666
(/ (* (pow (* a c) 4.0) 6.328125) (* a (pow b 7.0)))
(* -0.375 (* a (/ c (/ (pow b 3.0) c))))))))double code(double a, double b, double c) {
return (-b + sqrt(((b * b) - ((3.0 * a) * c)))) / (3.0 * a);
}
double code(double a, double b, double c) {
return fma(-0.5625, ((a * a) * ((c * c) * (c * pow(b, -5.0)))), fma(-0.5, (c / b), fma(-0.16666666666666666, ((pow((a * c), 4.0) * 6.328125) / (a * pow(b, 7.0))), (-0.375 * (a * (c / (pow(b, 3.0) / c)))))));
}
function code(a, b, c) return Float64(Float64(Float64(-b) + sqrt(Float64(Float64(b * b) - Float64(Float64(3.0 * a) * c)))) / Float64(3.0 * a)) end
function code(a, b, c) return fma(-0.5625, Float64(Float64(a * a) * Float64(Float64(c * c) * Float64(c * (b ^ -5.0)))), fma(-0.5, Float64(c / b), fma(-0.16666666666666666, Float64(Float64((Float64(a * c) ^ 4.0) * 6.328125) / Float64(a * (b ^ 7.0))), Float64(-0.375 * Float64(a * Float64(c / Float64((b ^ 3.0) / c))))))) end
code[a_, b_, c_] := N[(N[((-b) + N[Sqrt[N[(N[(b * b), $MachinePrecision] - N[(N[(3.0 * a), $MachinePrecision] * c), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(3.0 * a), $MachinePrecision]), $MachinePrecision]
code[a_, b_, c_] := N[(-0.5625 * N[(N[(a * a), $MachinePrecision] * N[(N[(c * c), $MachinePrecision] * N[(c * N[Power[b, -5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.5 * N[(c / b), $MachinePrecision] + N[(-0.16666666666666666 * N[(N[(N[Power[N[(a * c), $MachinePrecision], 4.0], $MachinePrecision] * 6.328125), $MachinePrecision] / N[(a * N[Power[b, 7.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.375 * N[(a * N[(c / N[(N[Power[b, 3.0], $MachinePrecision] / c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\frac{\left(-b\right) + \sqrt{b \cdot b - \left(3 \cdot a\right) \cdot c}}{3 \cdot a}
\mathsf{fma}\left(-0.5625, \left(a \cdot a\right) \cdot \left(\left(c \cdot c\right) \cdot \left(c \cdot {b}^{-5}\right)\right), \mathsf{fma}\left(-0.5, \frac{c}{b}, \mathsf{fma}\left(-0.16666666666666666, \frac{{\left(a \cdot c\right)}^{4} \cdot 6.328125}{a \cdot {b}^{7}}, -0.375 \cdot \left(a \cdot \frac{c}{\frac{{b}^{3}}{c}}\right)\right)\right)\right)
Initial program 52.7
Taylor expanded in b around inf 1.3
Simplified1.3
Applied egg-rr1.3
Applied egg-rr1.3
Final simplification1.3
| Alternative 1 | |
|---|---|
| Error | 1.8 |
| Cost | 33536 |
| Alternative 2 | |
|---|---|
| Error | 2.9 |
| Cost | 7424 |
| Alternative 3 | |
|---|---|
| Error | 2.9 |
| Cost | 7232 |
| Alternative 4 | |
|---|---|
| Error | 3.3 |
| Cost | 1344 |
| Alternative 5 | |
|---|---|
| Error | 6.3 |
| Cost | 320 |
| Alternative 6 | |
|---|---|
| Error | 6.0 |
| Cost | 320 |

herbie shell --seed 2022284
(FPCore (a b c)
:name "Cubic critical, wide range"
:precision binary64
:pre (and (and (and (< 4.930380657631324e-32 a) (< a 2.028240960365167e+31)) (and (< 4.930380657631324e-32 b) (< b 2.028240960365167e+31))) (and (< 4.930380657631324e-32 c) (< c 2.028240960365167e+31)))
(/ (+ (- b) (sqrt (- (* b b) (* (* 3.0 a) c)))) (* 3.0 a)))