
(FPCore (x)
:precision binary64
(let* ((t_0 (* (* (fabs x) (fabs x)) (fabs x)))
(t_1 (* (* t_0 (fabs x)) (fabs x))))
(fabs
(*
(/ 1.0 (sqrt (PI)))
(+
(+ (+ (* 2.0 (fabs x)) (* (/ 2.0 3.0) t_0)) (* (/ 1.0 5.0) t_1))
(* (/ 1.0 21.0) (* (* t_1 (fabs x)) (fabs x))))))))\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(\left|x\right| \cdot \left|x\right|\right) \cdot \left|x\right|\\
t_1 := \left(t\_0 \cdot \left|x\right|\right) \cdot \left|x\right|\\
\left|\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \left(\left(\left(2 \cdot \left|x\right| + \frac{2}{3} \cdot t\_0\right) + \frac{1}{5} \cdot t\_1\right) + \frac{1}{21} \cdot \left(\left(t\_1 \cdot \left|x\right|\right) \cdot \left|x\right|\right)\right)\right|
\end{array}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 5 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x)
:precision binary64
(let* ((t_0 (* (* (fabs x) (fabs x)) (fabs x)))
(t_1 (* (* t_0 (fabs x)) (fabs x))))
(fabs
(*
(/ 1.0 (sqrt (PI)))
(+
(+ (+ (* 2.0 (fabs x)) (* (/ 2.0 3.0) t_0)) (* (/ 1.0 5.0) t_1))
(* (/ 1.0 21.0) (* (* t_1 (fabs x)) (fabs x))))))))\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(\left|x\right| \cdot \left|x\right|\right) \cdot \left|x\right|\\
t_1 := \left(t\_0 \cdot \left|x\right|\right) \cdot \left|x\right|\\
\left|\frac{1}{\sqrt{\mathsf{PI}\left(\right)}} \cdot \left(\left(\left(2 \cdot \left|x\right| + \frac{2}{3} \cdot t\_0\right) + \frac{1}{5} \cdot t\_1\right) + \frac{1}{21} \cdot \left(\left(t\_1 \cdot \left|x\right|\right) \cdot \left|x\right|\right)\right)\right|
\end{array}
\end{array}
(FPCore (x)
:precision binary64
(let* ((t_0 (sqrt (pow (PI) -1.0))))
(fabs
(*
(fma
t_0
(fma (* x x) 0.6666666666666666 2.0)
(* (pow x 4.0) (* t_0 (fma 0.047619047619047616 (* x x) 0.2))))
x))))\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{{\mathsf{PI}\left(\right)}^{-1}}\\
\left|\mathsf{fma}\left(t\_0, \mathsf{fma}\left(x \cdot x, 0.6666666666666666, 2\right), {x}^{4} \cdot \left(t\_0 \cdot \mathsf{fma}\left(0.047619047619047616, x \cdot x, 0.2\right)\right)\right) \cdot x\right|
\end{array}
\end{array}
Initial program 99.8%
Applied rewrites99.9%
Taylor expanded in x around 0
*-commutativeN/A
lower-*.f64N/A
Applied rewrites99.9%
Final simplification99.9%
(FPCore (x)
:precision binary64
(fabs
(*
(*
(sqrt (pow (PI) -1.0))
(fma
(fma
(* (fabs x) (fma (* 0.047619047619047616 x) x 0.2))
x
0.6666666666666666)
(* x x)
2.0))
x)))\begin{array}{l}
\\
\left|\left(\sqrt{{\mathsf{PI}\left(\right)}^{-1}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\left|x\right| \cdot \mathsf{fma}\left(0.047619047619047616 \cdot x, x, 0.2\right), x, 0.6666666666666666\right), x \cdot x, 2\right)\right) \cdot x\right|
\end{array}
Initial program 99.8%
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
lower-*.f6499.8
lift-fabs.f64N/A
rem-sqrt-square-revN/A
sqrt-prodN/A
rem-square-sqrt76.3
lift-fabs.f64N/A
rem-sqrt-square-revN/A
sqrt-prodN/A
rem-square-sqrt99.8
lift-fabs.f64N/A
rem-sqrt-square-revN/A
sqrt-prodN/A
rem-square-sqrt76.3
lift-fabs.f64N/A
rem-sqrt-square-revN/A
sqrt-prodN/A
rem-square-sqrt99.8
Applied rewrites99.8%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-/.f64N/A
metadata-evalN/A
lift-*.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-abs-revN/A
lift-*.f64N/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites81.1%
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
pow3N/A
pow-plusN/A
lift-fabs.f64N/A
rem-sqrt-square-revN/A
lift-*.f64N/A
pow1/2N/A
metadata-evalN/A
pow-powN/A
metadata-evalN/A
pow2N/A
lift-*.f6481.1
Applied rewrites81.1%
Taylor expanded in x around 0
*-commutativeN/A
lower-*.f64N/A
Applied rewrites99.5%
Final simplification99.5%
(FPCore (x) :precision binary64 (if (<= x 1.75) (fabs (* (/ 2.0 (sqrt (PI))) x)) (fabs (* (* (* (* x x) 0.6666666666666666) (sqrt (pow (PI) -1.0))) x))))
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq 1.75:\\
\;\;\;\;\left|\frac{2}{\sqrt{\mathsf{PI}\left(\right)}} \cdot x\right|\\
\mathbf{else}:\\
\;\;\;\;\left|\left(\left(\left(x \cdot x\right) \cdot 0.6666666666666666\right) \cdot \sqrt{{\mathsf{PI}\left(\right)}^{-1}}\right) \cdot x\right|\\
\end{array}
\end{array}
if x < 1.75Initial program 99.8%
Applied rewrites99.9%
Taylor expanded in x around 0
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
rem-square-sqrtN/A
lower-sqrt.f64N/A
rem-square-sqrtN/A
lower-/.f64N/A
lower-PI.f6473.3
Applied rewrites73.3%
Applied rewrites73.3%
if 1.75 < x Initial program 99.8%
Applied rewrites99.9%
Taylor expanded in x around 0
*-commutativeN/A
lower-*.f64N/A
Applied rewrites99.9%
Taylor expanded in x around 0
Applied rewrites91.1%
Taylor expanded in x around inf
Applied rewrites23.5%
Final simplification73.3%
(FPCore (x) :precision binary64 (fabs (* (* (sqrt (pow (PI) -1.0)) (fma (* 0.6666666666666666 x) x 2.0)) x)))
\begin{array}{l}
\\
\left|\left(\sqrt{{\mathsf{PI}\left(\right)}^{-1}} \cdot \mathsf{fma}\left(0.6666666666666666 \cdot x, x, 2\right)\right) \cdot x\right|
\end{array}
Initial program 99.8%
Applied rewrites99.9%
Taylor expanded in x around 0
*-commutativeN/A
lower-*.f64N/A
Applied rewrites99.9%
Taylor expanded in x around 0
Applied rewrites91.1%
Applied rewrites91.1%
Final simplification91.1%
(FPCore (x) :precision binary64 (fabs (* (/ 2.0 (sqrt (PI))) x)))
\begin{array}{l}
\\
\left|\frac{2}{\sqrt{\mathsf{PI}\left(\right)}} \cdot x\right|
\end{array}
Initial program 99.8%
Applied rewrites99.9%
Taylor expanded in x around 0
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
rem-square-sqrtN/A
lower-sqrt.f64N/A
rem-square-sqrtN/A
lower-/.f64N/A
lower-PI.f6473.3
Applied rewrites73.3%
Applied rewrites73.3%
herbie shell --seed 2024347
(FPCore (x)
:name "Jmat.Real.erfi, branch x less than or equal to 0.5"
:precision binary64
:pre (<= x 0.5)
(fabs (* (/ 1.0 (sqrt (PI))) (+ (+ (+ (* 2.0 (fabs x)) (* (/ 2.0 3.0) (* (* (fabs x) (fabs x)) (fabs x)))) (* (/ 1.0 5.0) (* (* (* (* (fabs x) (fabs x)) (fabs x)) (fabs x)) (fabs x)))) (* (/ 1.0 21.0) (* (* (* (* (* (* (fabs x) (fabs x)) (fabs x)) (fabs x)) (fabs x)) (fabs x)) (fabs x)))))))