\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)\sqrt{\frac{1}{\pi}} \cdot \left(\left(\frac{{\left(e^{x}\right)}^{x}}{x} + 0.5 \cdot \frac{e^{x \cdot x}}{{x}^{3}}\right) + \left(0.75 \cdot \frac{e^{x \cdot x}}{{x}^{5}} + 1.875 \cdot \frac{e^{x \cdot x}}{{x}^{7}}\right)\right)(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
(*
(sqrt (/ 1.0 PI))
(+
(+ (/ (pow (exp x) x) x) (* 0.5 (/ (exp (* x x)) (pow x 3.0))))
(+
(* 0.75 (/ (exp (* x x)) (pow x 5.0)))
(* 1.875 (/ (exp (* x x)) (pow x 7.0)))))))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 sqrt(1.0 / ((double) M_PI)) * (((pow(exp(x), x) / x) + (0.5 * (exp(x * x) / pow(x, 3.0)))) + ((0.75 * (exp(x * x) / pow(x, 5.0))) + (1.875 * (exp(x * x) / pow(x, 7.0)))));
}



Bits error versus x
Results
Initial program 2.8
Simplified2.7
Taylor expanded around inf 2.7
Simplified2.7
rmApplied add-log-exp_binary642.7
Applied exp-to-pow_binary641.2
Final simplification1.2
herbie shell --seed 2021131
(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)))))))