| Alternative 1 | |
|---|---|
| Error | 1.2 |
| Cost | 52608 |
\[\left(\left(1 + \mathsf{fma}\left(1.875, {x}^{-6}, {x}^{-2} \cdot \left(0.5 + {x}^{-2} \cdot 0.75\right)\right)\right) \cdot \frac{{\left(e^{x}\right)}^{x}}{x}\right) \cdot \frac{1}{\sqrt{\pi}}
\]
(FPCore (x)
:precision binary64
(*
(* (/ 1.0 (sqrt PI)) (exp (* (fabs x) (fabs x))))
(+
(+
(+
(/ 1.0 (fabs x))
(*
(/ 1.0 2.0)
(* (* (/ 1.0 (fabs x)) (/ 1.0 (fabs x))) (/ 1.0 (fabs x)))))
(*
(/ 3.0 4.0)
(*
(*
(* (* (/ 1.0 (fabs x)) (/ 1.0 (fabs x))) (/ 1.0 (fabs x)))
(/ 1.0 (fabs x)))
(/ 1.0 (fabs x)))))
(*
(/ 15.0 8.0)
(*
(*
(*
(*
(* (* (/ 1.0 (fabs x)) (/ 1.0 (fabs x))) (/ 1.0 (fabs x)))
(/ 1.0 (fabs x)))
(/ 1.0 (fabs x)))
(/ 1.0 (fabs x)))
(/ 1.0 (fabs x)))))))(FPCore (x)
:precision binary64
(/
(/
(/
(+
1.0
(fma 1.875 (pow x -6.0) (* (pow x -2.0) (+ 0.5 (* (pow x -2.0) 0.75)))))
(/ x (pow (exp x) x)))
(pow PI 0.25))
(pow PI 0.25)))double code(double x) {
return ((1.0 / sqrt(((double) M_PI))) * exp((fabs(x) * fabs(x)))) * ((((1.0 / fabs(x)) + ((1.0 / 2.0) * (((1.0 / fabs(x)) * (1.0 / fabs(x))) * (1.0 / fabs(x))))) + ((3.0 / 4.0) * (((((1.0 / fabs(x)) * (1.0 / fabs(x))) * (1.0 / fabs(x))) * (1.0 / fabs(x))) * (1.0 / fabs(x))))) + ((15.0 / 8.0) * (((((((1.0 / fabs(x)) * (1.0 / fabs(x))) * (1.0 / fabs(x))) * (1.0 / fabs(x))) * (1.0 / fabs(x))) * (1.0 / fabs(x))) * (1.0 / fabs(x)))));
}
double code(double x) {
return (((1.0 + fma(1.875, pow(x, -6.0), (pow(x, -2.0) * (0.5 + (pow(x, -2.0) * 0.75))))) / (x / pow(exp(x), x))) / pow(((double) M_PI), 0.25)) / pow(((double) M_PI), 0.25);
}
function code(x) return Float64(Float64(Float64(1.0 / sqrt(pi)) * exp(Float64(abs(x) * abs(x)))) * Float64(Float64(Float64(Float64(1.0 / abs(x)) + Float64(Float64(1.0 / 2.0) * Float64(Float64(Float64(1.0 / abs(x)) * Float64(1.0 / abs(x))) * Float64(1.0 / abs(x))))) + Float64(Float64(3.0 / 4.0) * Float64(Float64(Float64(Float64(Float64(1.0 / abs(x)) * Float64(1.0 / abs(x))) * Float64(1.0 / abs(x))) * Float64(1.0 / abs(x))) * Float64(1.0 / abs(x))))) + Float64(Float64(15.0 / 8.0) * Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.0 / abs(x)) * Float64(1.0 / abs(x))) * Float64(1.0 / abs(x))) * Float64(1.0 / abs(x))) * Float64(1.0 / abs(x))) * Float64(1.0 / abs(x))) * Float64(1.0 / abs(x)))))) end
function code(x) return Float64(Float64(Float64(Float64(1.0 + fma(1.875, (x ^ -6.0), Float64((x ^ -2.0) * Float64(0.5 + Float64((x ^ -2.0) * 0.75))))) / Float64(x / (exp(x) ^ x))) / (pi ^ 0.25)) / (pi ^ 0.25)) end
code[x_] := N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(N[Abs[x], $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 / 2.0), $MachinePrecision] * N[(N[(N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(3.0 / 4.0), $MachinePrecision] * N[(N[(N[(N[(N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(15.0 / 8.0), $MachinePrecision] * N[(N[(N[(N[(N[(N[(N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
code[x_] := N[(N[(N[(N[(1.0 + N[(1.875 * N[Power[x, -6.0], $MachinePrecision] + N[(N[Power[x, -2.0], $MachinePrecision] * N[(0.5 + N[(N[Power[x, -2.0], $MachinePrecision] * 0.75), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x / N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Power[Pi, 0.25], $MachinePrecision]), $MachinePrecision] / N[Power[Pi, 0.25], $MachinePrecision]), $MachinePrecision]
\left(\frac{1}{\sqrt{\pi}} \cdot e^{\left|x\right| \cdot \left|x\right|}\right) \cdot \left(\left(\left(\frac{1}{\left|x\right|} + \frac{1}{2} \cdot \left(\left(\frac{1}{\left|x\right|} \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right)\right) + \frac{3}{4} \cdot \left(\left(\left(\left(\frac{1}{\left|x\right|} \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right)\right) + \frac{15}{8} \cdot \left(\left(\left(\left(\left(\left(\frac{1}{\left|x\right|} \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right)\right)
\frac{\frac{\frac{1 + \mathsf{fma}\left(1.875, {x}^{-6}, {x}^{-2} \cdot \left(0.5 + {x}^{-2} \cdot 0.75\right)\right)}{\frac{x}{{\left(e^{x}\right)}^{x}}}}{{\pi}^{0.25}}}{{\pi}^{0.25}}
Initial program 2.8
Simplified2.7
[Start]2.8 | \[ \left(\frac{1}{\sqrt{\pi}} \cdot e^{\left|x\right| \cdot \left|x\right|}\right) \cdot \left(\left(\left(\frac{1}{\left|x\right|} + \frac{1}{2} \cdot \left(\left(\frac{1}{\left|x\right|} \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right)\right) + \frac{3}{4} \cdot \left(\left(\left(\left(\frac{1}{\left|x\right|} \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right)\right) + \frac{15}{8} \cdot \left(\left(\left(\left(\left(\left(\frac{1}{\left|x\right|} \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right)\right)
\] |
|---|---|
associate-+l+ [=>]2.8 | \[ \left(\frac{1}{\sqrt{\pi}} \cdot e^{\left|x\right| \cdot \left|x\right|}\right) \cdot \color{blue}{\left(\left(\frac{1}{\left|x\right|} + \frac{1}{2} \cdot \left(\left(\frac{1}{\left|x\right|} \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right)\right) + \left(\frac{3}{4} \cdot \left(\left(\left(\left(\frac{1}{\left|x\right|} \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right) + \frac{15}{8} \cdot \left(\left(\left(\left(\left(\left(\frac{1}{\left|x\right|} \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right)\right)\right)}
\] |
Applied egg-rr1.3
Applied egg-rr1.3
Final simplification1.3
| Alternative 1 | |
|---|---|
| Error | 1.2 |
| Cost | 52608 |
| Alternative 2 | |
|---|---|
| Error | 1.2 |
| Cost | 46272 |
| Alternative 3 | |
|---|---|
| Error | 1.3 |
| Cost | 46208 |
| Alternative 4 | |
|---|---|
| Error | 1.3 |
| Cost | 46208 |
| Alternative 5 | |
|---|---|
| Error | 1.3 |
| Cost | 39936 |
| Alternative 6 | |
|---|---|
| Error | 1.3 |
| Cost | 39936 |
| Alternative 7 | |
|---|---|
| Error | 1.3 |
| Cost | 39936 |
| Alternative 8 | |
|---|---|
| Error | 40.4 |
| Cost | 39748 |
| Alternative 9 | |
|---|---|
| Error | 2.7 |
| Cost | 33856 |
| Alternative 10 | |
|---|---|
| Error | 2.7 |
| Cost | 33600 |
| Alternative 11 | |
|---|---|
| Error | 43.6 |
| Cost | 33540 |
| Alternative 12 | |
|---|---|
| Error | 44.7 |
| Cost | 26560 |
| Alternative 13 | |
|---|---|
| Error | 44.7 |
| Cost | 20224 |
| Alternative 14 | |
|---|---|
| Error | 48.3 |
| Cost | 19712 |
| Alternative 15 | |
|---|---|
| Error | 48.3 |
| Cost | 19712 |
| Alternative 16 | |
|---|---|
| Error | 56.8 |
| Cost | 19648 |
| Alternative 17 | |
|---|---|
| Error | 56.9 |
| Cost | 12992 |
herbie shell --seed 2023073
(FPCore (x)
:name "Jmat.Real.erfi, branch x greater than or equal to 5"
:precision binary64
:pre (>= x 0.5)
(* (* (/ 1.0 (sqrt PI)) (exp (* (fabs x) (fabs x)))) (+ (+ (+ (/ 1.0 (fabs x)) (* (/ 1.0 2.0) (* (* (/ 1.0 (fabs x)) (/ 1.0 (fabs x))) (/ 1.0 (fabs x))))) (* (/ 3.0 4.0) (* (* (* (* (/ 1.0 (fabs x)) (/ 1.0 (fabs x))) (/ 1.0 (fabs x))) (/ 1.0 (fabs x))) (/ 1.0 (fabs x))))) (* (/ 15.0 8.0) (* (* (* (* (* (* (/ 1.0 (fabs x)) (/ 1.0 (fabs x))) (/ 1.0 (fabs x))) (/ 1.0 (fabs x))) (/ 1.0 (fabs x))) (/ 1.0 (fabs x))) (/ 1.0 (fabs x)))))))