\[\left(\left(4.930380657631324 \cdot 10^{-32} < a \land a < 2.028240960365167 \cdot 10^{+31}\right) \land \left(4.930380657631324 \cdot 10^{-32} < b \land b < 2.028240960365167 \cdot 10^{+31}\right)\right) \land \left(4.930380657631324 \cdot 10^{-32} < c \land c < 2.028240960365167 \cdot 10^{+31}\right)\]
Math FPCore C Julia Wolfram TeX \[\frac{\left(-b\right) + \sqrt{b \cdot b - \left(3 \cdot a\right) \cdot c}}{3 \cdot a}
\]
↓
\[\mathsf{fma}\left(-0.5625, \left(a \cdot a\right) \cdot \frac{{c}^{3}}{{b}^{5}}, \mathsf{fma}\left(-0.5, \frac{c}{b}, \mathsf{fma}\left(-0.375, \frac{a}{{b}^{3}} \cdot \left(c \cdot c\right), \frac{\frac{{\left(a \cdot c\right)}^{4} \cdot -1.0546875}{a}}{{b}^{7}}\right)\right)\right)
\]
(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) (/ (pow c 3.0) (pow b 5.0)))
(fma
-0.5
(/ c b)
(fma
-0.375
(* (/ a (pow b 3.0)) (* c c))
(/ (/ (* (pow (* a c) 4.0) -1.0546875) a) (pow b 7.0)))))) 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) * (pow(c, 3.0) / pow(b, 5.0))), fma(-0.5, (c / b), fma(-0.375, ((a / pow(b, 3.0)) * (c * c)), (((pow((a * c), 4.0) * -1.0546875) / a) / pow(b, 7.0)))));
}
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((c ^ 3.0) / (b ^ 5.0))), fma(-0.5, Float64(c / b), fma(-0.375, Float64(Float64(a / (b ^ 3.0)) * Float64(c * c)), Float64(Float64(Float64((Float64(a * c) ^ 4.0) * -1.0546875) / a) / (b ^ 7.0)))))
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[Power[c, 3.0], $MachinePrecision] / N[Power[b, 5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.5 * N[(c / b), $MachinePrecision] + N[(-0.375 * N[(N[(a / N[Power[b, 3.0], $MachinePrecision]), $MachinePrecision] * N[(c * c), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[Power[N[(a * c), $MachinePrecision], 4.0], $MachinePrecision] * -1.0546875), $MachinePrecision] / a), $MachinePrecision] / N[Power[b, 7.0], $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 \frac{{c}^{3}}{{b}^{5}}, \mathsf{fma}\left(-0.5, \frac{c}{b}, \mathsf{fma}\left(-0.375, \frac{a}{{b}^{3}} \cdot \left(c \cdot c\right), \frac{\frac{{\left(a \cdot c\right)}^{4} \cdot -1.0546875}{a}}{{b}^{7}}\right)\right)\right)
Alternatives Alternative 1 Error 2.34% Cost 47168
\[\mathsf{fma}\left(-0.5625, \left(a \cdot a\right) \cdot \frac{{c}^{3}}{{b}^{5}}, \mathsf{fma}\left(-0.5, \frac{c}{b}, \mathsf{fma}\left(-0.375, \frac{\frac{a \cdot \left(c \cdot c\right)}{b \cdot b}}{b}, \frac{\frac{{\left(a \cdot c\right)}^{4} \cdot -1.0546875}{a}}{{b}^{7}}\right)\right)\right)
\]
Alternative 2 Error 3.09% Cost 33536
\[\mathsf{fma}\left(-0.5625, \frac{{c}^{3}}{\frac{{b}^{5}}{a \cdot a}}, \mathsf{fma}\left(-0.5, \frac{c}{b}, \frac{-0.375 \cdot \left(a \cdot \left(c \cdot c\right)\right)}{{b}^{3}}\right)\right)
\]
Alternative 3 Error 3.43% Cost 27328
\[\mathsf{fma}\left(-0.5625, \frac{a \cdot a}{\frac{{b}^{5}}{{c}^{3}}}, \mathsf{fma}\left(-0.375, \frac{c \cdot c}{b \cdot b} \cdot \frac{a}{b}, \frac{-0.5}{\frac{b}{c}}\right)\right)
\]
Alternative 4 Error 4.6% Cost 13696
\[\mathsf{fma}\left(-0.375, \frac{c \cdot c}{\frac{{b}^{3}}{a}}, -0.5 \cdot \frac{c}{b}\right)
\]
Alternative 5 Error 5.24% Cost 8000
\[\frac{\mathsf{fma}\left(-1.125, \frac{c \cdot c}{\frac{b \cdot b}{a} \cdot \frac{b}{a}}, -1.5 \cdot \left(c \cdot \frac{a}{b}\right)\right)}{a \cdot 3}
\]
Alternative 6 Error 5.12% Cost 8000
\[\frac{\mathsf{fma}\left(-1.125, \frac{c \cdot c}{\frac{b \cdot b}{a} \cdot \frac{b}{a}}, -1.5 \cdot \left(a \cdot \frac{c}{b}\right)\right)}{a \cdot 3}
\]
Alternative 7 Error 5.25% Cost 8000
\[\frac{\mathsf{fma}\left(-1.125, \frac{c \cdot c}{\frac{b \cdot b}{a} \cdot \frac{b}{a}}, \frac{\left(a \cdot c\right) \cdot -1.5}{b}\right)}{a \cdot 3}
\]
Alternative 8 Error 9.86% Cost 320
\[c \cdot \frac{-0.5}{b}
\]
Alternative 9 Error 9.84% Cost 320
\[\frac{-0.5}{\frac{b}{c}}
\]
Alternative 10 Error 9.52% Cost 320
\[\frac{c \cdot -0.5}{b}
\]