
(FPCore (x)
:precision binary64
(let* ((t_0 (/ 1.0 (+ 1.0 (* 0.3275911 (fabs x))))))
(-
1.0
(*
(*
t_0
(+
0.254829592
(*
t_0
(+
-0.284496736
(*
t_0
(+ 1.421413741 (* t_0 (+ -1.453152027 (* t_0 1.061405429)))))))))
(exp (- (* (fabs x) (fabs x))))))))
double code(double x) {
double t_0 = 1.0 / (1.0 + (0.3275911 * fabs(x)));
return 1.0 - ((t_0 * (0.254829592 + (t_0 * (-0.284496736 + (t_0 * (1.421413741 + (t_0 * (-1.453152027 + (t_0 * 1.061405429))))))))) * exp(-(fabs(x) * fabs(x))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(x)
use fmin_fmax_functions
real(8), intent (in) :: x
real(8) :: t_0
t_0 = 1.0d0 / (1.0d0 + (0.3275911d0 * abs(x)))
code = 1.0d0 - ((t_0 * (0.254829592d0 + (t_0 * ((-0.284496736d0) + (t_0 * (1.421413741d0 + (t_0 * ((-1.453152027d0) + (t_0 * 1.061405429d0))))))))) * exp(-(abs(x) * abs(x))))
end function
public static double code(double x) {
double t_0 = 1.0 / (1.0 + (0.3275911 * Math.abs(x)));
return 1.0 - ((t_0 * (0.254829592 + (t_0 * (-0.284496736 + (t_0 * (1.421413741 + (t_0 * (-1.453152027 + (t_0 * 1.061405429))))))))) * Math.exp(-(Math.abs(x) * Math.abs(x))));
}
def code(x): t_0 = 1.0 / (1.0 + (0.3275911 * math.fabs(x))) return 1.0 - ((t_0 * (0.254829592 + (t_0 * (-0.284496736 + (t_0 * (1.421413741 + (t_0 * (-1.453152027 + (t_0 * 1.061405429))))))))) * math.exp(-(math.fabs(x) * math.fabs(x))))
function code(x) t_0 = Float64(1.0 / Float64(1.0 + Float64(0.3275911 * abs(x)))) return Float64(1.0 - Float64(Float64(t_0 * Float64(0.254829592 + Float64(t_0 * Float64(-0.284496736 + Float64(t_0 * Float64(1.421413741 + Float64(t_0 * Float64(-1.453152027 + Float64(t_0 * 1.061405429))))))))) * exp(Float64(-Float64(abs(x) * abs(x)))))) end
function tmp = code(x) t_0 = 1.0 / (1.0 + (0.3275911 * abs(x))); tmp = 1.0 - ((t_0 * (0.254829592 + (t_0 * (-0.284496736 + (t_0 * (1.421413741 + (t_0 * (-1.453152027 + (t_0 * 1.061405429))))))))) * exp(-(abs(x) * abs(x)))); end
code[x_] := Block[{t$95$0 = N[(1.0 / N[(1.0 + N[(0.3275911 * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(1.0 - N[(N[(t$95$0 * N[(0.254829592 + N[(t$95$0 * N[(-0.284496736 + N[(t$95$0 * N[(1.421413741 + N[(t$95$0 * N[(-1.453152027 + N[(t$95$0 * 1.061405429), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Exp[(-N[(N[Abs[x], $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision])], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{1 + 0.3275911 \cdot \left|x\right|}\\
1 - \left(t\_0 \cdot \left(0.254829592 + t\_0 \cdot \left(-0.284496736 + t\_0 \cdot \left(1.421413741 + t\_0 \cdot \left(-1.453152027 + t\_0 \cdot 1.061405429\right)\right)\right)\right)\right) \cdot e^{-\left|x\right| \cdot \left|x\right|}
\end{array}
\end{array}
Herbie found 10 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x)
:precision binary64
(let* ((t_0 (/ 1.0 (+ 1.0 (* 0.3275911 (fabs x))))))
(-
1.0
(*
(*
t_0
(+
0.254829592
(*
t_0
(+
-0.284496736
(*
t_0
(+ 1.421413741 (* t_0 (+ -1.453152027 (* t_0 1.061405429)))))))))
(exp (- (* (fabs x) (fabs x))))))))
double code(double x) {
double t_0 = 1.0 / (1.0 + (0.3275911 * fabs(x)));
return 1.0 - ((t_0 * (0.254829592 + (t_0 * (-0.284496736 + (t_0 * (1.421413741 + (t_0 * (-1.453152027 + (t_0 * 1.061405429))))))))) * exp(-(fabs(x) * fabs(x))));
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(x)
use fmin_fmax_functions
real(8), intent (in) :: x
real(8) :: t_0
t_0 = 1.0d0 / (1.0d0 + (0.3275911d0 * abs(x)))
code = 1.0d0 - ((t_0 * (0.254829592d0 + (t_0 * ((-0.284496736d0) + (t_0 * (1.421413741d0 + (t_0 * ((-1.453152027d0) + (t_0 * 1.061405429d0))))))))) * exp(-(abs(x) * abs(x))))
end function
public static double code(double x) {
double t_0 = 1.0 / (1.0 + (0.3275911 * Math.abs(x)));
return 1.0 - ((t_0 * (0.254829592 + (t_0 * (-0.284496736 + (t_0 * (1.421413741 + (t_0 * (-1.453152027 + (t_0 * 1.061405429))))))))) * Math.exp(-(Math.abs(x) * Math.abs(x))));
}
def code(x): t_0 = 1.0 / (1.0 + (0.3275911 * math.fabs(x))) return 1.0 - ((t_0 * (0.254829592 + (t_0 * (-0.284496736 + (t_0 * (1.421413741 + (t_0 * (-1.453152027 + (t_0 * 1.061405429))))))))) * math.exp(-(math.fabs(x) * math.fabs(x))))
function code(x) t_0 = Float64(1.0 / Float64(1.0 + Float64(0.3275911 * abs(x)))) return Float64(1.0 - Float64(Float64(t_0 * Float64(0.254829592 + Float64(t_0 * Float64(-0.284496736 + Float64(t_0 * Float64(1.421413741 + Float64(t_0 * Float64(-1.453152027 + Float64(t_0 * 1.061405429))))))))) * exp(Float64(-Float64(abs(x) * abs(x)))))) end
function tmp = code(x) t_0 = 1.0 / (1.0 + (0.3275911 * abs(x))); tmp = 1.0 - ((t_0 * (0.254829592 + (t_0 * (-0.284496736 + (t_0 * (1.421413741 + (t_0 * (-1.453152027 + (t_0 * 1.061405429))))))))) * exp(-(abs(x) * abs(x)))); end
code[x_] := Block[{t$95$0 = N[(1.0 / N[(1.0 + N[(0.3275911 * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(1.0 - N[(N[(t$95$0 * N[(0.254829592 + N[(t$95$0 * N[(-0.284496736 + N[(t$95$0 * N[(1.421413741 + N[(t$95$0 * N[(-1.453152027 + N[(t$95$0 * 1.061405429), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Exp[(-N[(N[Abs[x], $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision])], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{1 + 0.3275911 \cdot \left|x\right|}\\
1 - \left(t\_0 \cdot \left(0.254829592 + t\_0 \cdot \left(-0.284496736 + t\_0 \cdot \left(1.421413741 + t\_0 \cdot \left(-1.453152027 + t\_0 \cdot 1.061405429\right)\right)\right)\right)\right) \cdot e^{-\left|x\right| \cdot \left|x\right|}
\end{array}
\end{array}
(FPCore (x)
:precision binary64
(let* ((t_0 (exp (* x x)))
(t_1 (fma -0.3275911 (fabs x) -1.0))
(t_2 (fma 0.3275911 (fabs x) 1.0))
(t_3 (fma (fabs x) 0.3275911 1.0))
(t_4
(/
(-
(/
(-
(/
(- (/ (- 1.453152027 (/ 1.061405429 t_3)) t_1) -1.421413741)
t_3)
0.284496736)
t_3)
-0.254829592)
(* t_1 t_0))))
(/
(-
(/
1.0
(/
(pow (* t_0 t_1) 3.0)
(pow
(-
(/
(-
(/ (- (/ (- 1.453152027 (/ 1.061405429 t_2)) t_1) -1.421413741) t_2)
0.284496736)
t_2)
-0.254829592)
3.0)))
-1.0)
(- (pow t_4 2.0) (- t_4 1.0)))))
double code(double x) {
double t_0 = exp((x * x));
double t_1 = fma(-0.3275911, fabs(x), -1.0);
double t_2 = fma(0.3275911, fabs(x), 1.0);
double t_3 = fma(fabs(x), 0.3275911, 1.0);
double t_4 = (((((((1.453152027 - (1.061405429 / t_3)) / t_1) - -1.421413741) / t_3) - 0.284496736) / t_3) - -0.254829592) / (t_1 * t_0);
return ((1.0 / (pow((t_0 * t_1), 3.0) / pow((((((((1.453152027 - (1.061405429 / t_2)) / t_1) - -1.421413741) / t_2) - 0.284496736) / t_2) - -0.254829592), 3.0))) - -1.0) / (pow(t_4, 2.0) - (t_4 - 1.0));
}
function code(x) t_0 = exp(Float64(x * x)) t_1 = fma(-0.3275911, abs(x), -1.0) t_2 = fma(0.3275911, abs(x), 1.0) t_3 = fma(abs(x), 0.3275911, 1.0) t_4 = Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.453152027 - Float64(1.061405429 / t_3)) / t_1) - -1.421413741) / t_3) - 0.284496736) / t_3) - -0.254829592) / Float64(t_1 * t_0)) return Float64(Float64(Float64(1.0 / Float64((Float64(t_0 * t_1) ^ 3.0) / (Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.453152027 - Float64(1.061405429 / t_2)) / t_1) - -1.421413741) / t_2) - 0.284496736) / t_2) - -0.254829592) ^ 3.0))) - -1.0) / Float64((t_4 ^ 2.0) - Float64(t_4 - 1.0))) end
code[x_] := Block[{t$95$0 = N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$2 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$3 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(N[(N[(N[(N[(N[(1.453152027 - N[(1.061405429 / t$95$3), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$3), $MachinePrecision] - 0.284496736), $MachinePrecision] / t$95$3), $MachinePrecision] - -0.254829592), $MachinePrecision] / N[(t$95$1 * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(1.0 / N[(N[Power[N[(t$95$0 * t$95$1), $MachinePrecision], 3.0], $MachinePrecision] / N[Power[N[(N[(N[(N[(N[(N[(N[(1.453152027 - N[(1.061405429 / t$95$2), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$2), $MachinePrecision] - 0.284496736), $MachinePrecision] / t$95$2), $MachinePrecision] - -0.254829592), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - -1.0), $MachinePrecision] / N[(N[Power[t$95$4, 2.0], $MachinePrecision] - N[(t$95$4 - 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := e^{x \cdot x}\\
t_1 := \mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)\\
t_2 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
t_3 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_4 := \frac{\frac{\frac{\frac{1.453152027 - \frac{1.061405429}{t\_3}}{t\_1} - -1.421413741}{t\_3} - 0.284496736}{t\_3} - -0.254829592}{t\_1 \cdot t\_0}\\
\frac{\frac{1}{\frac{{\left(t\_0 \cdot t\_1\right)}^{3}}{{\left(\frac{\frac{\frac{1.453152027 - \frac{1.061405429}{t\_2}}{t\_1} - -1.421413741}{t\_2} - 0.284496736}{t\_2} - -0.254829592\right)}^{3}}} - -1}{{t\_4}^{2} - \left(t\_4 - 1\right)}
\end{array}
\end{array}
Initial program 79.2%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
mult-flip-revN/A
lift-+.f64N/A
flip-+N/A
associate-/r/N/A
lower-*.f64N/A
Applied rewrites79.2%
Applied rewrites79.2%
lift-pow.f64N/A
lift-/.f64N/A
cube-divN/A
div-flipN/A
lower-/.f64N/A
Applied rewrites80.3%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(-
1.0
(/
(*
(-
(/
(-
(/
(-
(/
(- 1.453152027 (/ 1.061405429 t_0))
(fma -0.3275911 (fabs x) -1.0))
-1.421413741)
t_0)
0.284496736)
t_0)
-0.254829592)
(fma -0.3275911 (fabs x) 1.0))
(* (fma -0.10731592879921 (* x x) 1.0) (exp (* x x)))))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
return 1.0 - (((((((((1.453152027 - (1.061405429 / t_0)) / fma(-0.3275911, fabs(x), -1.0)) - -1.421413741) / t_0) - 0.284496736) / t_0) - -0.254829592) * fma(-0.3275911, fabs(x), 1.0)) / (fma(-0.10731592879921, (x * x), 1.0) * exp((x * x))));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) return Float64(1.0 - Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.453152027 - Float64(1.061405429 / t_0)) / fma(-0.3275911, abs(x), -1.0)) - -1.421413741) / t_0) - 0.284496736) / t_0) - -0.254829592) * fma(-0.3275911, abs(x), 1.0)) / Float64(fma(-0.10731592879921, Float64(x * x), 1.0) * exp(Float64(x * x))))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, N[(1.0 - N[(N[(N[(N[(N[(N[(N[(N[(N[(1.453152027 - N[(1.061405429 / t$95$0), $MachinePrecision]), $MachinePrecision] / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] - 0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] - -0.254829592), $MachinePrecision] * N[(-0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] / N[(N[(-0.10731592879921 * N[(x * x), $MachinePrecision] + 1.0), $MachinePrecision] * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
1 - \frac{\left(\frac{\frac{\frac{1.453152027 - \frac{1.061405429}{t\_0}}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)} - -1.421413741}{t\_0} - 0.284496736}{t\_0} - -0.254829592\right) \cdot \mathsf{fma}\left(-0.3275911, \left|x\right|, 1\right)}{\mathsf{fma}\left(-0.10731592879921, x \cdot x, 1\right) \cdot e^{x \cdot x}}
\end{array}
\end{array}
Initial program 79.2%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
mult-flip-revN/A
lift-+.f64N/A
flip-+N/A
associate-/r/N/A
lower-*.f64N/A
Applied rewrites79.2%
Applied rewrites79.2%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(fma
(/
(/
(-
-0.254829592
(/
(-
(/
(-
(/
(- 1.453152027 (/ 1.061405429 t_0))
(fma -0.3275911 (fabs x) -1.0))
-1.421413741)
t_0)
0.284496736)
t_0))
(exp (* x x)))
(fma (* x x) 0.10731592879921 -1.0))
(fma (fabs x) 0.3275911 -1.0)
1.0)))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
return fma((((-0.254829592 - ((((((1.453152027 - (1.061405429 / t_0)) / fma(-0.3275911, fabs(x), -1.0)) - -1.421413741) / t_0) - 0.284496736) / t_0)) / exp((x * x))) / fma((x * x), 0.10731592879921, -1.0)), fma(fabs(x), 0.3275911, -1.0), 1.0);
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) return fma(Float64(Float64(Float64(-0.254829592 - Float64(Float64(Float64(Float64(Float64(Float64(1.453152027 - Float64(1.061405429 / t_0)) / fma(-0.3275911, abs(x), -1.0)) - -1.421413741) / t_0) - 0.284496736) / t_0)) / exp(Float64(x * x))) / fma(Float64(x * x), 0.10731592879921, -1.0)), fma(abs(x), 0.3275911, -1.0), 1.0) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, N[(N[(N[(N[(-0.254829592 - N[(N[(N[(N[(N[(N[(1.453152027 - N[(1.061405429 / t$95$0), $MachinePrecision]), $MachinePrecision] / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] - 0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(N[(x * x), $MachinePrecision] * 0.10731592879921 + -1.0), $MachinePrecision]), $MachinePrecision] * N[(N[Abs[x], $MachinePrecision] * 0.3275911 + -1.0), $MachinePrecision] + 1.0), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
\mathsf{fma}\left(\frac{\frac{-0.254829592 - \frac{\frac{\frac{1.453152027 - \frac{1.061405429}{t\_0}}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)} - -1.421413741}{t\_0} - 0.284496736}{t\_0}}{e^{x \cdot x}}}{\mathsf{fma}\left(x \cdot x, 0.10731592879921, -1\right)}, \mathsf{fma}\left(\left|x\right|, 0.3275911, -1\right), 1\right)
\end{array}
\end{array}
Initial program 79.2%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
mult-flip-revN/A
lift-+.f64N/A
flip-+N/A
associate-/r/N/A
lower-*.f64N/A
Applied rewrites79.2%
Applied rewrites79.2%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(-
1.0
(/
(-
(/
(-
(/
(-
(/
(fma
(/ -1.0 (fma -0.3275911 (fabs x) -1.0))
1.061405429
-1.453152027)
t_0)
-1.421413741)
t_0)
0.284496736)
t_0)
-0.254829592)
(* t_0 (exp (* x x)))))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
return 1.0 - (((((((fma((-1.0 / fma(-0.3275911, fabs(x), -1.0)), 1.061405429, -1.453152027) / t_0) - -1.421413741) / t_0) - 0.284496736) / t_0) - -0.254829592) / (t_0 * exp((x * x))));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) return Float64(1.0 - Float64(Float64(Float64(Float64(Float64(Float64(Float64(fma(Float64(-1.0 / fma(-0.3275911, abs(x), -1.0)), 1.061405429, -1.453152027) / t_0) - -1.421413741) / t_0) - 0.284496736) / t_0) - -0.254829592) / Float64(t_0 * exp(Float64(x * x))))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, N[(1.0 - N[(N[(N[(N[(N[(N[(N[(N[(N[(-1.0 / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * 1.061405429 + -1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] - 0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] - -0.254829592), $MachinePrecision] / N[(t$95$0 * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
1 - \frac{\frac{\frac{\frac{\mathsf{fma}\left(\frac{-1}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)}, 1.061405429, -1.453152027\right)}{t\_0} - -1.421413741}{t\_0} - 0.284496736}{t\_0} - -0.254829592}{t\_0 \cdot e^{x \cdot x}}
\end{array}
\end{array}
Initial program 79.2%
Applied rewrites79.2%
lift--.f64N/A
sub-flipN/A
lift-/.f64N/A
div-flipN/A
associate-/r/N/A
div-flipN/A
lift-fma.f64N/A
lift-*.f64N/A
+-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-+.f64N/A
div-flipN/A
lift-/.f64N/A
lower-fma.f64N/A
Applied rewrites79.2%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(fma
(/
(-
(/
(-
(/ (- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741) t_0)
0.284496736)
t_0)
-0.254829592)
(fma -0.3275911 (fabs x) -1.0))
(exp (* (- x) x))
1.0)))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
return fma((((((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) - 0.284496736) / t_0) - -0.254829592) / fma(-0.3275911, fabs(x), -1.0)), exp((-x * x)), 1.0);
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) return fma(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) - 0.284496736) / t_0) - -0.254829592) / fma(-0.3275911, abs(x), -1.0)), exp(Float64(Float64(-x) * x)), 1.0) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, N[(N[(N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] - 0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] - -0.254829592), $MachinePrecision] / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision] + 1.0), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
\mathsf{fma}\left(\frac{\frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} - 0.284496736}{t\_0} - -0.254829592}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)}, e^{\left(-x\right) \cdot x}, 1\right)
\end{array}
\end{array}
Initial program 79.2%
Applied rewrites79.2%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(-
1.0
(/
(-
(/
(-
(/ (- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741) t_0)
0.284496736)
t_0)
-0.254829592)
(* t_0 (exp (* x x)))))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
return 1.0 - (((((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) - 0.284496736) / t_0) - -0.254829592) / (t_0 * exp((x * x))));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) return Float64(1.0 - Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) - 0.284496736) / t_0) - -0.254829592) / Float64(t_0 * exp(Float64(x * x))))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, N[(1.0 - N[(N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] - 0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] - -0.254829592), $MachinePrecision] / N[(t$95$0 * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
1 - \frac{\frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} - 0.284496736}{t\_0} - -0.254829592}{t\_0 \cdot e^{x \cdot x}}
\end{array}
\end{array}
Initial program 79.2%
Applied rewrites79.2%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma -0.3275911 (fabs x) -1.0))
(t_1 (/ 1.0 (+ 1.0 (* 0.3275911 (fabs x)))))
(t_2 (fma (fabs x) 0.3275911 1.0)))
(if (<=
(*
(*
t_1
(+
0.254829592
(*
t_1
(+
-0.284496736
(*
t_1
(+ 1.421413741 (* t_1 (+ -1.453152027 (* t_1 1.061405429)))))))))
(exp (- (* (fabs x) (fabs x)))))
2e-8)
(-
1.0
(/
(/ (- (/ 0.284496736 (fma 0.3275911 (fabs x) 1.0)) 0.254829592) t_0)
(exp (* x x))))
(-
1.0
(/
(*
(-
(/
(-
(/ (- (/ (- 1.453152027 (/ 1.061405429 t_2)) t_0) -1.421413741) t_2)
0.284496736)
t_2)
-0.254829592)
(fma -0.3275911 (fabs x) 1.0))
1.0)))))
double code(double x) {
double t_0 = fma(-0.3275911, fabs(x), -1.0);
double t_1 = 1.0 / (1.0 + (0.3275911 * fabs(x)));
double t_2 = fma(fabs(x), 0.3275911, 1.0);
double tmp;
if (((t_1 * (0.254829592 + (t_1 * (-0.284496736 + (t_1 * (1.421413741 + (t_1 * (-1.453152027 + (t_1 * 1.061405429))))))))) * exp(-(fabs(x) * fabs(x)))) <= 2e-8) {
tmp = 1.0 - ((((0.284496736 / fma(0.3275911, fabs(x), 1.0)) - 0.254829592) / t_0) / exp((x * x)));
} else {
tmp = 1.0 - (((((((((1.453152027 - (1.061405429 / t_2)) / t_0) - -1.421413741) / t_2) - 0.284496736) / t_2) - -0.254829592) * fma(-0.3275911, fabs(x), 1.0)) / 1.0);
}
return tmp;
}
function code(x) t_0 = fma(-0.3275911, abs(x), -1.0) t_1 = Float64(1.0 / Float64(1.0 + Float64(0.3275911 * abs(x)))) t_2 = fma(abs(x), 0.3275911, 1.0) tmp = 0.0 if (Float64(Float64(t_1 * Float64(0.254829592 + Float64(t_1 * Float64(-0.284496736 + Float64(t_1 * Float64(1.421413741 + Float64(t_1 * Float64(-1.453152027 + Float64(t_1 * 1.061405429))))))))) * exp(Float64(-Float64(abs(x) * abs(x))))) <= 2e-8) tmp = Float64(1.0 - Float64(Float64(Float64(Float64(0.284496736 / fma(0.3275911, abs(x), 1.0)) - 0.254829592) / t_0) / exp(Float64(x * x)))); else tmp = Float64(1.0 - Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.453152027 - Float64(1.061405429 / t_2)) / t_0) - -1.421413741) / t_2) - 0.284496736) / t_2) - -0.254829592) * fma(-0.3275911, abs(x), 1.0)) / 1.0)); end return tmp end
code[x_] := Block[{t$95$0 = N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[(1.0 / N[(1.0 + N[(0.3275911 * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, If[LessEqual[N[(N[(t$95$1 * N[(0.254829592 + N[(t$95$1 * N[(-0.284496736 + N[(t$95$1 * N[(1.421413741 + N[(t$95$1 * N[(-1.453152027 + N[(t$95$1 * 1.061405429), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Exp[(-N[(N[Abs[x], $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision])], $MachinePrecision]), $MachinePrecision], 2e-8], N[(1.0 - N[(N[(N[(N[(0.284496736 / N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] - 0.254829592), $MachinePrecision] / t$95$0), $MachinePrecision] / N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(1.0 - N[(N[(N[(N[(N[(N[(N[(N[(N[(1.453152027 - N[(1.061405429 / t$95$2), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$2), $MachinePrecision] - 0.284496736), $MachinePrecision] / t$95$2), $MachinePrecision] - -0.254829592), $MachinePrecision] * N[(-0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] / 1.0), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)\\
t_1 := \frac{1}{1 + 0.3275911 \cdot \left|x\right|}\\
t_2 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
\mathbf{if}\;\left(t\_1 \cdot \left(0.254829592 + t\_1 \cdot \left(-0.284496736 + t\_1 \cdot \left(1.421413741 + t\_1 \cdot \left(-1.453152027 + t\_1 \cdot 1.061405429\right)\right)\right)\right)\right) \cdot e^{-\left|x\right| \cdot \left|x\right|} \leq 2 \cdot 10^{-8}:\\
\;\;\;\;1 - \frac{\frac{\frac{0.284496736}{\mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)} - 0.254829592}{t\_0}}{e^{x \cdot x}}\\
\mathbf{else}:\\
\;\;\;\;1 - \frac{\left(\frac{\frac{\frac{1.453152027 - \frac{1.061405429}{t\_2}}{t\_0} - -1.421413741}{t\_2} - 0.284496736}{t\_2} - -0.254829592\right) \cdot \mathsf{fma}\left(-0.3275911, \left|x\right|, 1\right)}{1}\\
\end{array}
\end{array}
if (*.f64 (*.f64 (/.f64 #s(literal 1 binary64) (+.f64 #s(literal 1 binary64) (*.f64 #s(literal 3275911/10000000 binary64) (fabs.f64 x)))) (+.f64 #s(literal 31853699/125000000 binary64) (*.f64 (/.f64 #s(literal 1 binary64) (+.f64 #s(literal 1 binary64) (*.f64 #s(literal 3275911/10000000 binary64) (fabs.f64 x)))) (+.f64 #s(literal -8890523/31250000 binary64) (*.f64 (/.f64 #s(literal 1 binary64) (+.f64 #s(literal 1 binary64) (*.f64 #s(literal 3275911/10000000 binary64) (fabs.f64 x)))) (+.f64 #s(literal 1421413741/1000000000 binary64) (*.f64 (/.f64 #s(literal 1 binary64) (+.f64 #s(literal 1 binary64) (*.f64 #s(literal 3275911/10000000 binary64) (fabs.f64 x)))) (+.f64 #s(literal -1453152027/1000000000 binary64) (*.f64 (/.f64 #s(literal 1 binary64) (+.f64 #s(literal 1 binary64) (*.f64 #s(literal 3275911/10000000 binary64) (fabs.f64 x)))) #s(literal 1061405429/1000000000 binary64)))))))))) (exp.f64 (neg.f64 (*.f64 (fabs.f64 x) (fabs.f64 x))))) < 2e-8Initial program 79.2%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
mult-flip-revN/A
lift-+.f64N/A
flip-+N/A
associate-/r/N/A
lower-*.f64N/A
Applied rewrites79.2%
Taylor expanded in x around inf
lower-/.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lower-fabs.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lower-fabs.f6455.7
Applied rewrites55.7%
Applied rewrites55.7%
if 2e-8 < (*.f64 (*.f64 (/.f64 #s(literal 1 binary64) (+.f64 #s(literal 1 binary64) (*.f64 #s(literal 3275911/10000000 binary64) (fabs.f64 x)))) (+.f64 #s(literal 31853699/125000000 binary64) (*.f64 (/.f64 #s(literal 1 binary64) (+.f64 #s(literal 1 binary64) (*.f64 #s(literal 3275911/10000000 binary64) (fabs.f64 x)))) (+.f64 #s(literal -8890523/31250000 binary64) (*.f64 (/.f64 #s(literal 1 binary64) (+.f64 #s(literal 1 binary64) (*.f64 #s(literal 3275911/10000000 binary64) (fabs.f64 x)))) (+.f64 #s(literal 1421413741/1000000000 binary64) (*.f64 (/.f64 #s(literal 1 binary64) (+.f64 #s(literal 1 binary64) (*.f64 #s(literal 3275911/10000000 binary64) (fabs.f64 x)))) (+.f64 #s(literal -1453152027/1000000000 binary64) (*.f64 (/.f64 #s(literal 1 binary64) (+.f64 #s(literal 1 binary64) (*.f64 #s(literal 3275911/10000000 binary64) (fabs.f64 x)))) #s(literal 1061405429/1000000000 binary64)))))))))) (exp.f64 (neg.f64 (*.f64 (fabs.f64 x) (fabs.f64 x))))) Initial program 79.2%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
mult-flip-revN/A
lift-+.f64N/A
flip-+N/A
associate-/r/N/A
lower-*.f64N/A
Applied rewrites79.2%
Applied rewrites79.2%
Taylor expanded in x around 0
Applied rewrites31.2%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(fma
(-
-0.254829592
(/
(-
(/
(-
(/ (- 1.453152027 (/ 1.061405429 t_0)) (fma -0.3275911 (fabs x) -1.0))
-1.421413741)
t_0)
0.284496736)
t_0))
(/ 1.0 (+ 1.0 (* 0.3275911 (fabs x))))
1.0)))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
return fma((-0.254829592 - ((((((1.453152027 - (1.061405429 / t_0)) / fma(-0.3275911, fabs(x), -1.0)) - -1.421413741) / t_0) - 0.284496736) / t_0)), (1.0 / (1.0 + (0.3275911 * fabs(x)))), 1.0);
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) return fma(Float64(-0.254829592 - Float64(Float64(Float64(Float64(Float64(Float64(1.453152027 - Float64(1.061405429 / t_0)) / fma(-0.3275911, abs(x), -1.0)) - -1.421413741) / t_0) - 0.284496736) / t_0)), Float64(1.0 / Float64(1.0 + Float64(0.3275911 * abs(x)))), 1.0) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, N[(N[(-0.254829592 - N[(N[(N[(N[(N[(N[(1.453152027 - N[(1.061405429 / t$95$0), $MachinePrecision]), $MachinePrecision] / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] - 0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[(1.0 + N[(0.3275911 * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
\mathsf{fma}\left(-0.254829592 - \frac{\frac{\frac{1.453152027 - \frac{1.061405429}{t\_0}}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)} - -1.421413741}{t\_0} - 0.284496736}{t\_0}, \frac{1}{1 + 0.3275911 \cdot \left|x\right|}, 1\right)
\end{array}
\end{array}
Initial program 79.2%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
mult-flip-revN/A
lift-+.f64N/A
flip-+N/A
associate-/r/N/A
lower-*.f64N/A
Applied rewrites79.2%
Applied rewrites79.2%
Taylor expanded in x around 0
lower-/.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lower-fabs.f6477.6
Applied rewrites77.6%
(FPCore (x)
:precision binary64
(-
1.0
(/
(/
(- (/ 0.284496736 (fma 0.3275911 (fabs x) 1.0)) 0.254829592)
(fma -0.3275911 (fabs x) -1.0))
(exp (* x x)))))
double code(double x) {
return 1.0 - ((((0.284496736 / fma(0.3275911, fabs(x), 1.0)) - 0.254829592) / fma(-0.3275911, fabs(x), -1.0)) / exp((x * x)));
}
function code(x) return Float64(1.0 - Float64(Float64(Float64(Float64(0.284496736 / fma(0.3275911, abs(x), 1.0)) - 0.254829592) / fma(-0.3275911, abs(x), -1.0)) / exp(Float64(x * x)))) end
code[x_] := N[(1.0 - N[(N[(N[(N[(0.284496736 / N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] - 0.254829592), $MachinePrecision] / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] / N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
1 - \frac{\frac{\frac{0.284496736}{\mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)} - 0.254829592}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)}}{e^{x \cdot x}}
\end{array}
Initial program 79.2%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
mult-flip-revN/A
lift-+.f64N/A
flip-+N/A
associate-/r/N/A
lower-*.f64N/A
Applied rewrites79.2%
Taylor expanded in x around inf
lower-/.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lower-fabs.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lower-fabs.f6455.7
Applied rewrites55.7%
Applied rewrites55.7%
(FPCore (x)
:precision binary64
(-
1.0
(/
(/
(- (/ 0.284496736 (fma 0.3275911 (fabs x) 1.0)) 0.254829592)
(fma -0.3275911 (fabs x) -1.0))
1.0)))
double code(double x) {
return 1.0 - ((((0.284496736 / fma(0.3275911, fabs(x), 1.0)) - 0.254829592) / fma(-0.3275911, fabs(x), -1.0)) / 1.0);
}
function code(x) return Float64(1.0 - Float64(Float64(Float64(Float64(0.284496736 / fma(0.3275911, abs(x), 1.0)) - 0.254829592) / fma(-0.3275911, abs(x), -1.0)) / 1.0)) end
code[x_] := N[(1.0 - N[(N[(N[(N[(0.284496736 / N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] - 0.254829592), $MachinePrecision] / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] / 1.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
1 - \frac{\frac{\frac{0.284496736}{\mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)} - 0.254829592}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)}}{1}
\end{array}
Initial program 79.2%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
mult-flip-revN/A
lift-+.f64N/A
flip-+N/A
associate-/r/N/A
lower-*.f64N/A
Applied rewrites79.2%
Taylor expanded in x around inf
lower-/.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lower-fabs.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lower-fabs.f6455.7
Applied rewrites55.7%
Applied rewrites55.7%
Taylor expanded in x around 0
Applied rewrites54.6%
herbie shell --seed 2025142
(FPCore (x)
:name "Jmat.Real.erf"
:precision binary64
(- 1.0 (* (* (/ 1.0 (+ 1.0 (* 0.3275911 (fabs x)))) (+ 0.254829592 (* (/ 1.0 (+ 1.0 (* 0.3275911 (fabs x)))) (+ -0.284496736 (* (/ 1.0 (+ 1.0 (* 0.3275911 (fabs x)))) (+ 1.421413741 (* (/ 1.0 (+ 1.0 (* 0.3275911 (fabs x)))) (+ -1.453152027 (* (/ 1.0 (+ 1.0 (* 0.3275911 (fabs x)))) 1.061405429))))))))) (exp (- (* (fabs x) (fabs x)))))))