| Alternative 1 | |
|---|---|
| Error | 2.1 |
| Cost | 20736 |
\[-2 \cdot \left(\left(a \cdot a\right) \cdot \frac{{c}^{3}}{{b}^{5}}\right) - \left(\frac{c}{b} + a \cdot \left(\left(c \cdot c\right) \cdot {b}^{-3}\right)\right)
\]
(FPCore (a b c) :precision binary64 (/ (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)))
(FPCore (a b c)
:precision binary64
(-
(fma
-2.0
(* (* (* c c) (* c (pow b -5.0))) (* a a))
(*
(/ (* (pow a 3.0) -0.25) b)
(* (* (* c c) (* (* c c) (pow b -6.0))) 20.0)))
(fma (* (/ c (* b b)) (/ c b)) a (/ c 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 fma(-2.0, (((c * c) * (c * pow(b, -5.0))) * (a * a)), (((pow(a, 3.0) * -0.25) / b) * (((c * c) * ((c * c) * pow(b, -6.0))) * 20.0))) - fma(((c / (b * b)) * (c / b)), a, (c / 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(fma(-2.0, Float64(Float64(Float64(c * c) * Float64(c * (b ^ -5.0))) * Float64(a * a)), Float64(Float64(Float64((a ^ 3.0) * -0.25) / b) * Float64(Float64(Float64(c * c) * Float64(Float64(c * c) * (b ^ -6.0))) * 20.0))) - fma(Float64(Float64(c / Float64(b * b)) * Float64(c / b)), a, Float64(c / 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[(N[(-2.0 * N[(N[(N[(c * c), $MachinePrecision] * N[(c * N[Power[b, -5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(a * a), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[Power[a, 3.0], $MachinePrecision] * -0.25), $MachinePrecision] / b), $MachinePrecision] * N[(N[(N[(c * c), $MachinePrecision] * N[(N[(c * c), $MachinePrecision] * N[Power[b, -6.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 20.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[(c / N[(b * b), $MachinePrecision]), $MachinePrecision] * N[(c / b), $MachinePrecision]), $MachinePrecision] * a + N[(c / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\frac{\left(-b\right) + \sqrt{b \cdot b - \left(4 \cdot a\right) \cdot c}}{2 \cdot a}
\mathsf{fma}\left(-2, \left(\left(c \cdot c\right) \cdot \left(c \cdot {b}^{-5}\right)\right) \cdot \left(a \cdot a\right), \frac{{a}^{3} \cdot -0.25}{b} \cdot \left(\left(\left(c \cdot c\right) \cdot \left(\left(c \cdot c\right) \cdot {b}^{-6}\right)\right) \cdot 20\right)\right) - \mathsf{fma}\left(\frac{c}{b \cdot b} \cdot \frac{c}{b}, a, \frac{c}{b}\right)
Initial program 52.4
Taylor expanded in a around 0 1.6
Simplified1.6
Applied egg-rr1.6
Applied egg-rr1.6
Applied egg-rr1.6
Final simplification1.6
| Alternative 1 | |
|---|---|
| Error | 2.1 |
| Cost | 20736 |
| Alternative 2 | |
|---|---|
| Error | 2.2 |
| Cost | 20672 |
| Alternative 3 | |
|---|---|
| Error | 3.2 |
| Cost | 1024 |
| Alternative 4 | |
|---|---|
| Error | 3.2 |
| Cost | 832 |
| Alternative 5 | |
|---|---|
| Error | 6.3 |
| Cost | 256 |

herbie shell --seed 2022241
(FPCore (a b c)
:name "Quadratic roots, 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) (* (* 4.0 a) c)))) (* 2.0 a)))