| Alternative 1 | |
|---|---|
| Error | 1.89% |
| Cost | 65472 |
\[\frac{\frac{{\left(e^{x}\right)}^{x}}{x} \cdot \left(1 + \mathsf{fma}\left(1.875, {x}^{-6}, {x}^{-2} \cdot \left(0.5 + {x}^{-2} \cdot 0.75\right)\right)\right)}{{\pi}^{0.25} \cdot {\pi}^{0.25}}
\]
(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
(/
(/
(*
(pow (exp x) x)
(-
-1.0
(fma 1.875 (pow x -6.0) (* (pow x -2.0) (fma (pow x -2.0) 0.75 0.5)))))
(- 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 ((pow(exp(x), x) * (-1.0 - fma(1.875, pow(x, -6.0), (pow(x, -2.0) * fma(pow(x, -2.0), 0.75, 0.5))))) / -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((exp(x) ^ x) * Float64(-1.0 - fma(1.875, (x ^ -6.0), Float64((x ^ -2.0) * fma((x ^ -2.0), 0.75, 0.5))))) / Float64(-x)) / Float64((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[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] * N[(-1.0 - N[(1.875 * N[Power[x, -6.0], $MachinePrecision] + N[(N[Power[x, -2.0], $MachinePrecision] * N[(N[Power[x, -2.0], $MachinePrecision] * 0.75 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / (-x)), $MachinePrecision] / N[(N[Power[Pi, 0.25], $MachinePrecision] * N[Power[Pi, 0.25], $MachinePrecision]), $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{{\left(e^{x}\right)}^{x} \cdot \left(-1 - \mathsf{fma}\left(1.875, {x}^{-6}, {x}^{-2} \cdot \mathsf{fma}\left({x}^{-2}, 0.75, 0.5\right)\right)\right)}{-x}}{{\pi}^{0.25} \cdot {\pi}^{0.25}}
Initial program 4.35
Simplified4.16
[Start]4.35 | \[ \left(\frac{1}{\sqrt{\pi}} \cdot e^{\left|x\right| \cdot \left|x\right|}\right) \cdot \left(\left(\left(\frac{1}{\left|x\right|} + \frac{1}{2} \cdot \left(\left(\frac{1}{\left|x\right|} \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right)\right) + \frac{3}{4} \cdot \left(\left(\left(\left(\frac{1}{\left|x\right|} \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right)\right) + \frac{15}{8} \cdot \left(\left(\left(\left(\left(\left(\frac{1}{\left|x\right|} \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right)\right)
\] |
|---|---|
associate-+l+ [=>]4.35 | \[ \left(\frac{1}{\sqrt{\pi}} \cdot e^{\left|x\right| \cdot \left|x\right|}\right) \cdot \color{blue}{\left(\left(\frac{1}{\left|x\right|} + \frac{1}{2} \cdot \left(\left(\frac{1}{\left|x\right|} \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right)\right) + \left(\frac{3}{4} \cdot \left(\left(\left(\left(\frac{1}{\left|x\right|} \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right) + \frac{15}{8} \cdot \left(\left(\left(\left(\left(\left(\frac{1}{\left|x\right|} \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right) \cdot \frac{1}{\left|x\right|}\right)\right)\right)}
\] |
Applied egg-rr1.94
Simplified1.89
[Start]1.94 | \[ \frac{\frac{\frac{{\left(e^{x}\right)}^{x}}{x} \cdot \left(1 + \left(1.875 \cdot {x}^{-6} + \left(0.5 + 0.75 \cdot {x}^{-2}\right) \cdot {x}^{-2}\right)\right)}{{\pi}^{0.25}}}{{\pi}^{0.25}}
\] |
|---|---|
associate-/l/ [=>]1.9 | \[ \color{blue}{\frac{\frac{{\left(e^{x}\right)}^{x}}{x} \cdot \left(1 + \left(1.875 \cdot {x}^{-6} + \left(0.5 + 0.75 \cdot {x}^{-2}\right) \cdot {x}^{-2}\right)\right)}{{\pi}^{0.25} \cdot {\pi}^{0.25}}}
\] |
fma-def [=>]1.89 | \[ \frac{\frac{{\left(e^{x}\right)}^{x}}{x} \cdot \left(1 + \color{blue}{\mathsf{fma}\left(1.875, {x}^{-6}, \left(0.5 + 0.75 \cdot {x}^{-2}\right) \cdot {x}^{-2}\right)}\right)}{{\pi}^{0.25} \cdot {\pi}^{0.25}}
\] |
*-commutative [=>]1.89 | \[ \frac{\frac{{\left(e^{x}\right)}^{x}}{x} \cdot \left(1 + \mathsf{fma}\left(1.875, {x}^{-6}, \color{blue}{{x}^{-2} \cdot \left(0.5 + 0.75 \cdot {x}^{-2}\right)}\right)\right)}{{\pi}^{0.25} \cdot {\pi}^{0.25}}
\] |
Applied egg-rr1.88
Final simplification1.88
| Alternative 1 | |
|---|---|
| Error | 1.89% |
| Cost | 65472 |
| Alternative 2 | |
|---|---|
| Error | 1.91% |
| Cost | 46464 |
| Alternative 3 | |
|---|---|
| Error | 1.95% |
| Cost | 39936 |
| Alternative 4 | |
|---|---|
| Error | 1.89% |
| Cost | 33728 |
| Alternative 5 | |
|---|---|
| Error | 1.95% |
| Cost | 33600 |
| Alternative 6 | |
|---|---|
| Error | 1.96% |
| Cost | 33536 |
| Alternative 7 | |
|---|---|
| Error | 68.39% |
| Cost | 32900 |
| Alternative 8 | |
|---|---|
| Error | 68.69% |
| Cost | 32708 |
| Alternative 9 | |
|---|---|
| Error | 4.16% |
| Cost | 27200 |
| Alternative 10 | |
|---|---|
| Error | 75.38% |
| Cost | 19712 |
| Alternative 11 | |
|---|---|
| Error | 88.34% |
| Cost | 13184 |
| Alternative 12 | |
|---|---|
| Error | 88.8% |
| Cost | 12992 |
| Alternative 13 | |
|---|---|
| Error | 97.1% |
| Cost | 64 |
herbie shell --seed 2023103
(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)))))))