
(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 13 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 (- 1.0 (* (fabs x) 0.3275911)))
(t_1 (/ 1.0 (fma (fabs x) 0.3275911 1.0)))
(t_2
(*
(exp (* (- x) x))
(*
(fma
(fma
(fma
(fma
t_0
(/ 1.061405429 (fma (* -0.10731592879921 x) x 1.0))
-1.453152027)
t_1
1.421413741)
t_1
-0.284496736)
t_1
0.254829592)
t_1))))
(/
(/ (- 1.0 (pow t_2 6.0)) (+ 1.0 (+ (pow t_2 4.0) (* 1.0 (pow t_2 2.0)))))
(+
1.0
(*
(exp (- (* x x)))
(*
(fma
(fma
(fma
(fma
t_0
(/ 1.061405429 (fma -0.10731592879921 (* x x) 1.0))
-1.453152027)
t_1
1.421413741)
t_1
-0.284496736)
t_1
0.254829592)
t_1))))))
double code(double x) {
double t_0 = 1.0 - (fabs(x) * 0.3275911);
double t_1 = 1.0 / fma(fabs(x), 0.3275911, 1.0);
double t_2 = exp((-x * x)) * (fma(fma(fma(fma(t_0, (1.061405429 / fma((-0.10731592879921 * x), x, 1.0)), -1.453152027), t_1, 1.421413741), t_1, -0.284496736), t_1, 0.254829592) * t_1);
return ((1.0 - pow(t_2, 6.0)) / (1.0 + (pow(t_2, 4.0) + (1.0 * pow(t_2, 2.0))))) / (1.0 + (exp(-(x * x)) * (fma(fma(fma(fma(t_0, (1.061405429 / fma(-0.10731592879921, (x * x), 1.0)), -1.453152027), t_1, 1.421413741), t_1, -0.284496736), t_1, 0.254829592) * t_1)));
}
function code(x) t_0 = Float64(1.0 - Float64(abs(x) * 0.3275911)) t_1 = Float64(1.0 / fma(abs(x), 0.3275911, 1.0)) t_2 = Float64(exp(Float64(Float64(-x) * x)) * Float64(fma(fma(fma(fma(t_0, Float64(1.061405429 / fma(Float64(-0.10731592879921 * x), x, 1.0)), -1.453152027), t_1, 1.421413741), t_1, -0.284496736), t_1, 0.254829592) * t_1)) return Float64(Float64(Float64(1.0 - (t_2 ^ 6.0)) / Float64(1.0 + Float64((t_2 ^ 4.0) + Float64(1.0 * (t_2 ^ 2.0))))) / Float64(1.0 + Float64(exp(Float64(-Float64(x * x))) * Float64(fma(fma(fma(fma(t_0, Float64(1.061405429 / fma(-0.10731592879921, Float64(x * x), 1.0)), -1.453152027), t_1, 1.421413741), t_1, -0.284496736), t_1, 0.254829592) * t_1)))) end
code[x_] := Block[{t$95$0 = N[(1.0 - N[(N[Abs[x], $MachinePrecision] * 0.3275911), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(1.0 / N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision] * N[(N[(N[(N[(N[(t$95$0 * N[(1.061405429 / N[(N[(-0.10731592879921 * x), $MachinePrecision] * x + 1.0), $MachinePrecision]), $MachinePrecision] + -1.453152027), $MachinePrecision] * t$95$1 + 1.421413741), $MachinePrecision] * t$95$1 + -0.284496736), $MachinePrecision] * t$95$1 + 0.254829592), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(1.0 - N[Power[t$95$2, 6.0], $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[Power[t$95$2, 4.0], $MachinePrecision] + N[(1.0 * N[Power[t$95$2, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[Exp[(-N[(x * x), $MachinePrecision])], $MachinePrecision] * N[(N[(N[(N[(N[(t$95$0 * N[(1.061405429 / N[(-0.10731592879921 * N[(x * x), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] + -1.453152027), $MachinePrecision] * t$95$1 + 1.421413741), $MachinePrecision] * t$95$1 + -0.284496736), $MachinePrecision] * t$95$1 + 0.254829592), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 1 - \left|x\right| \cdot 0.3275911\\
t_1 := \frac{1}{\mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)}\\
t_2 := e^{\left(-x\right) \cdot x} \cdot \left(\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(t\_0, \frac{1.061405429}{\mathsf{fma}\left(-0.10731592879921 \cdot x, x, 1\right)}, -1.453152027\right), t\_1, 1.421413741\right), t\_1, -0.284496736\right), t\_1, 0.254829592\right) \cdot t\_1\right)\\
\frac{\frac{1 - {t\_2}^{6}}{1 + \left({t\_2}^{4} + 1 \cdot {t\_2}^{2}\right)}}{1 + e^{-x \cdot x} \cdot \left(\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(t\_0, \frac{1.061405429}{\mathsf{fma}\left(-0.10731592879921, x \cdot x, 1\right)}, -1.453152027\right), t\_1, 1.421413741\right), t\_1, -0.284496736\right), t\_1, 0.254829592\right) \cdot t\_1\right)}
\end{array}
\end{array}
Initial program 78.9%
lift-+.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-+.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
+-commutativeN/A
associate-*l/N/A
metadata-evalN/A
flip-+N/A
associate-/r/N/A
lower-fma.f64N/A
Applied rewrites78.9%
Applied rewrites79.0%
Applied rewrites79.0%
Applied rewrites79.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (- 1.0 (* (fabs x) 0.3275911)))
(t_1 (/ 1.0 (fma (fabs x) 0.3275911 1.0)))
(t_2
(pow
(*
(exp (* (- x) x))
(*
(fma
(fma
(fma
(fma
t_0
(/ 1.061405429 (fma (* -0.10731592879921 x) x 1.0))
-1.453152027)
t_1
1.421413741)
t_1
-0.284496736)
t_1
0.254829592)
t_1))
2.0)))
(/
(/ (- 1.0 (* t_2 t_2)) (+ 1.0 t_2))
(+
1.0
(*
(exp (- (* x x)))
(*
(fma
(fma
(fma
(fma
t_0
(/ 1.061405429 (fma -0.10731592879921 (* x x) 1.0))
-1.453152027)
t_1
1.421413741)
t_1
-0.284496736)
t_1
0.254829592)
t_1))))))
double code(double x) {
double t_0 = 1.0 - (fabs(x) * 0.3275911);
double t_1 = 1.0 / fma(fabs(x), 0.3275911, 1.0);
double t_2 = pow((exp((-x * x)) * (fma(fma(fma(fma(t_0, (1.061405429 / fma((-0.10731592879921 * x), x, 1.0)), -1.453152027), t_1, 1.421413741), t_1, -0.284496736), t_1, 0.254829592) * t_1)), 2.0);
return ((1.0 - (t_2 * t_2)) / (1.0 + t_2)) / (1.0 + (exp(-(x * x)) * (fma(fma(fma(fma(t_0, (1.061405429 / fma(-0.10731592879921, (x * x), 1.0)), -1.453152027), t_1, 1.421413741), t_1, -0.284496736), t_1, 0.254829592) * t_1)));
}
function code(x) t_0 = Float64(1.0 - Float64(abs(x) * 0.3275911)) t_1 = Float64(1.0 / fma(abs(x), 0.3275911, 1.0)) t_2 = Float64(exp(Float64(Float64(-x) * x)) * Float64(fma(fma(fma(fma(t_0, Float64(1.061405429 / fma(Float64(-0.10731592879921 * x), x, 1.0)), -1.453152027), t_1, 1.421413741), t_1, -0.284496736), t_1, 0.254829592) * t_1)) ^ 2.0 return Float64(Float64(Float64(1.0 - Float64(t_2 * t_2)) / Float64(1.0 + t_2)) / Float64(1.0 + Float64(exp(Float64(-Float64(x * x))) * Float64(fma(fma(fma(fma(t_0, Float64(1.061405429 / fma(-0.10731592879921, Float64(x * x), 1.0)), -1.453152027), t_1, 1.421413741), t_1, -0.284496736), t_1, 0.254829592) * t_1)))) end
code[x_] := Block[{t$95$0 = N[(1.0 - N[(N[Abs[x], $MachinePrecision] * 0.3275911), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(1.0 / N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[(N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision] * N[(N[(N[(N[(N[(t$95$0 * N[(1.061405429 / N[(N[(-0.10731592879921 * x), $MachinePrecision] * x + 1.0), $MachinePrecision]), $MachinePrecision] + -1.453152027), $MachinePrecision] * t$95$1 + 1.421413741), $MachinePrecision] * t$95$1 + -0.284496736), $MachinePrecision] * t$95$1 + 0.254829592), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]}, N[(N[(N[(1.0 - N[(t$95$2 * t$95$2), $MachinePrecision]), $MachinePrecision] / N[(1.0 + t$95$2), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[Exp[(-N[(x * x), $MachinePrecision])], $MachinePrecision] * N[(N[(N[(N[(N[(t$95$0 * N[(1.061405429 / N[(-0.10731592879921 * N[(x * x), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] + -1.453152027), $MachinePrecision] * t$95$1 + 1.421413741), $MachinePrecision] * t$95$1 + -0.284496736), $MachinePrecision] * t$95$1 + 0.254829592), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 1 - \left|x\right| \cdot 0.3275911\\
t_1 := \frac{1}{\mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)}\\
t_2 := {\left(e^{\left(-x\right) \cdot x} \cdot \left(\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(t\_0, \frac{1.061405429}{\mathsf{fma}\left(-0.10731592879921 \cdot x, x, 1\right)}, -1.453152027\right), t\_1, 1.421413741\right), t\_1, -0.284496736\right), t\_1, 0.254829592\right) \cdot t\_1\right)\right)}^{2}\\
\frac{\frac{1 - t\_2 \cdot t\_2}{1 + t\_2}}{1 + e^{-x \cdot x} \cdot \left(\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(t\_0, \frac{1.061405429}{\mathsf{fma}\left(-0.10731592879921, x \cdot x, 1\right)}, -1.453152027\right), t\_1, 1.421413741\right), t\_1, -0.284496736\right), t\_1, 0.254829592\right) \cdot t\_1\right)}
\end{array}
\end{array}
Initial program 78.9%
lift-+.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-+.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
+-commutativeN/A
associate-*l/N/A
metadata-evalN/A
flip-+N/A
associate-/r/N/A
lower-fma.f64N/A
Applied rewrites78.9%
Applied rewrites79.0%
Applied rewrites79.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (/ 1.0 (fma (fabs x) 0.3275911 1.0)))
(t_1
(*
(exp (* (- x) x))
(*
(fma
(fma
(fma
(fma
(- 1.0 (* (fabs x) 0.3275911))
(/ 1.061405429 (fma (* -0.10731592879921 x) x 1.0))
-1.453152027)
t_0
1.421413741)
t_0
-0.284496736)
t_0
0.254829592)
t_0))))
(/ (- 1.0 (pow t_1 2.0)) (+ 1.0 t_1))))
double code(double x) {
double t_0 = 1.0 / fma(fabs(x), 0.3275911, 1.0);
double t_1 = exp((-x * x)) * (fma(fma(fma(fma((1.0 - (fabs(x) * 0.3275911)), (1.061405429 / fma((-0.10731592879921 * x), x, 1.0)), -1.453152027), t_0, 1.421413741), t_0, -0.284496736), t_0, 0.254829592) * t_0);
return (1.0 - pow(t_1, 2.0)) / (1.0 + t_1);
}
function code(x) t_0 = Float64(1.0 / fma(abs(x), 0.3275911, 1.0)) t_1 = Float64(exp(Float64(Float64(-x) * x)) * Float64(fma(fma(fma(fma(Float64(1.0 - Float64(abs(x) * 0.3275911)), Float64(1.061405429 / fma(Float64(-0.10731592879921 * x), x, 1.0)), -1.453152027), t_0, 1.421413741), t_0, -0.284496736), t_0, 0.254829592) * t_0)) return Float64(Float64(1.0 - (t_1 ^ 2.0)) / Float64(1.0 + t_1)) end
code[x_] := Block[{t$95$0 = N[(1.0 / N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision] * N[(N[(N[(N[(N[(N[(1.0 - N[(N[Abs[x], $MachinePrecision] * 0.3275911), $MachinePrecision]), $MachinePrecision] * N[(1.061405429 / N[(N[(-0.10731592879921 * x), $MachinePrecision] * x + 1.0), $MachinePrecision]), $MachinePrecision] + -1.453152027), $MachinePrecision] * t$95$0 + 1.421413741), $MachinePrecision] * t$95$0 + -0.284496736), $MachinePrecision] * t$95$0 + 0.254829592), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(N[(1.0 - N[Power[t$95$1, 2.0], $MachinePrecision]), $MachinePrecision] / N[(1.0 + t$95$1), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{\mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)}\\
t_1 := e^{\left(-x\right) \cdot x} \cdot \left(\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(1 - \left|x\right| \cdot 0.3275911, \frac{1.061405429}{\mathsf{fma}\left(-0.10731592879921 \cdot x, x, 1\right)}, -1.453152027\right), t\_0, 1.421413741\right), t\_0, -0.284496736\right), t\_0, 0.254829592\right) \cdot t\_0\right)\\
\frac{1 - {t\_1}^{2}}{1 + t\_1}
\end{array}
\end{array}
Initial program 78.9%
lift-+.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-+.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
+-commutativeN/A
associate-*l/N/A
metadata-evalN/A
flip-+N/A
associate-/r/N/A
lower-fma.f64N/A
Applied rewrites78.9%
Applied rewrites79.0%
Applied rewrites79.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)) (t_1 (/ 1.0 t_0)))
(-
1.0
(*
(+
(/ 0.254829592 t_0)
(*
t_1
(*
(fma
(fma
(fma
(- 1.0 (* (fabs x) 0.3275911))
(/ 1.061405429 (fma -0.10731592879921 (* x x) 1.0))
-1.453152027)
t_1
1.421413741)
t_1
-0.284496736)
t_1)))
(exp (- (* (fabs x) (fabs x))))))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = 1.0 / t_0;
return 1.0 - (((0.254829592 / t_0) + (t_1 * (fma(fma(fma((1.0 - (fabs(x) * 0.3275911)), (1.061405429 / fma(-0.10731592879921, (x * x), 1.0)), -1.453152027), t_1, 1.421413741), t_1, -0.284496736) * t_1))) * exp(-(fabs(x) * fabs(x))));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64(1.0 / t_0) return Float64(1.0 - Float64(Float64(Float64(0.254829592 / t_0) + Float64(t_1 * Float64(fma(fma(fma(Float64(1.0 - Float64(abs(x) * 0.3275911)), Float64(1.061405429 / fma(-0.10731592879921, Float64(x * x), 1.0)), -1.453152027), t_1, 1.421413741), t_1, -0.284496736) * t_1))) * exp(Float64(-Float64(abs(x) * abs(x)))))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(1.0 / t$95$0), $MachinePrecision]}, N[(1.0 - N[(N[(N[(0.254829592 / t$95$0), $MachinePrecision] + N[(t$95$1 * N[(N[(N[(N[(N[(1.0 - N[(N[Abs[x], $MachinePrecision] * 0.3275911), $MachinePrecision]), $MachinePrecision] * N[(1.061405429 / N[(-0.10731592879921 * N[(x * x), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] + -1.453152027), $MachinePrecision] * t$95$1 + 1.421413741), $MachinePrecision] * t$95$1 + -0.284496736), $MachinePrecision] * t$95$1), $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 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := \frac{1}{t\_0}\\
1 - \left(\frac{0.254829592}{t\_0} + t\_1 \cdot \left(\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(1 - \left|x\right| \cdot 0.3275911, \frac{1.061405429}{\mathsf{fma}\left(-0.10731592879921, x \cdot x, 1\right)}, -1.453152027\right), t\_1, 1.421413741\right), t\_1, -0.284496736\right) \cdot t\_1\right)\right) \cdot e^{-\left|x\right| \cdot \left|x\right|}
\end{array}
\end{array}
Initial program 78.9%
lift-+.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-+.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
+-commutativeN/A
associate-*l/N/A
metadata-evalN/A
flip-+N/A
associate-/r/N/A
lower-fma.f64N/A
Applied rewrites78.9%
Applied rewrites78.9%
(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
(fma
(/ 1.061405429 (- 1.0 (* 0.10731592879921 (* x x))))
(- 1.0 (* (fabs x) 0.3275911))
-1.453152027))))))))
(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 * fma((1.061405429 / (1.0 - (0.10731592879921 * (x * x)))), (1.0 - (fabs(x) * 0.3275911)), -1.453152027)))))))) * exp(-(fabs(x) * 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 * fma(Float64(1.061405429 / Float64(1.0 - Float64(0.10731592879921 * Float64(x * x)))), Float64(1.0 - Float64(abs(x) * 0.3275911)), -1.453152027)))))))) * exp(Float64(-Float64(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[(N[(1.061405429 / N[(1.0 - N[(0.10731592879921 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[(N[Abs[x], $MachinePrecision] * 0.3275911), $MachinePrecision]), $MachinePrecision] + -1.453152027), $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 \mathsf{fma}\left(\frac{1.061405429}{1 - 0.10731592879921 \cdot \left(x \cdot x\right)}, 1 - \left|x\right| \cdot 0.3275911, -1.453152027\right)\right)\right)\right)\right) \cdot e^{-\left|x\right| \cdot \left|x\right|}
\end{array}
\end{array}
Initial program 78.9%
lift-+.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-+.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
+-commutativeN/A
associate-*l/N/A
metadata-evalN/A
flip-+N/A
associate-/r/N/A
lower-fma.f64N/A
Applied rewrites78.9%
(FPCore (x)
:precision binary64
(let* ((t_0 (/ 1.0 (fma (fabs x) 0.3275911 1.0))))
(-
1.0
(*
t_0
(*
(fma
(fma
(fma
(fma
(- 1.0 (* (fabs x) 0.3275911))
(/ 1.061405429 (fma -0.10731592879921 (* x x) 1.0))
-1.453152027)
t_0
1.421413741)
t_0
-0.284496736)
t_0
0.254829592)
(exp (- (* x x))))))))
double code(double x) {
double t_0 = 1.0 / fma(fabs(x), 0.3275911, 1.0);
return 1.0 - (t_0 * (fma(fma(fma(fma((1.0 - (fabs(x) * 0.3275911)), (1.061405429 / fma(-0.10731592879921, (x * x), 1.0)), -1.453152027), t_0, 1.421413741), t_0, -0.284496736), t_0, 0.254829592) * exp(-(x * x))));
}
function code(x) t_0 = Float64(1.0 / fma(abs(x), 0.3275911, 1.0)) return Float64(1.0 - Float64(t_0 * Float64(fma(fma(fma(fma(Float64(1.0 - Float64(abs(x) * 0.3275911)), Float64(1.061405429 / fma(-0.10731592879921, Float64(x * x), 1.0)), -1.453152027), t_0, 1.421413741), t_0, -0.284496736), t_0, 0.254829592) * exp(Float64(-Float64(x * x)))))) end
code[x_] := Block[{t$95$0 = N[(1.0 / N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]), $MachinePrecision]}, N[(1.0 - N[(t$95$0 * N[(N[(N[(N[(N[(N[(1.0 - N[(N[Abs[x], $MachinePrecision] * 0.3275911), $MachinePrecision]), $MachinePrecision] * N[(1.061405429 / N[(-0.10731592879921 * N[(x * x), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] + -1.453152027), $MachinePrecision] * t$95$0 + 1.421413741), $MachinePrecision] * t$95$0 + -0.284496736), $MachinePrecision] * t$95$0 + 0.254829592), $MachinePrecision] * N[Exp[(-N[(x * x), $MachinePrecision])], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{\mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)}\\
1 - t\_0 \cdot \left(\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(1 - \left|x\right| \cdot 0.3275911, \frac{1.061405429}{\mathsf{fma}\left(-0.10731592879921, x \cdot x, 1\right)}, -1.453152027\right), t\_0, 1.421413741\right), t\_0, -0.284496736\right), t\_0, 0.254829592\right) \cdot e^{-x \cdot x}\right)
\end{array}
\end{array}
Initial program 78.9%
lift-+.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-+.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
+-commutativeN/A
associate-*l/N/A
metadata-evalN/A
flip-+N/A
associate-/r/N/A
lower-fma.f64N/A
Applied rewrites78.9%
Applied rewrites78.9%
(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(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / t_0) * exp(Float64(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[(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] / t$95$0), $MachinePrecision] * N[Exp[N[((-x) * x), $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^{\left(-x\right) \cdot x}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites78.9%
(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 78.9%
Applied rewrites78.9%
(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 78.9%
Applied rewrites78.9%
(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)
(+ (fma (* x x) t_0 (* (fabs x) 0.3275911)) 1.0)))))
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) / (fma((x * x), t_0, (fabs(x) * 0.3275911)) + 1.0));
}
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(fma(Float64(x * x), t_0, Float64(abs(x) * 0.3275911)) + 1.0))) 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[(N[(N[(x * x), $MachinePrecision] * t$95$0 + N[(N[Abs[x], $MachinePrecision] * 0.3275911), $MachinePrecision]), $MachinePrecision] + 1.0), $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}{\mathsf{fma}\left(x \cdot x, t\_0, \left|x\right| \cdot 0.3275911\right) + 1}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites78.9%
Taylor expanded in x around 0
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
pow2N/A
lift-*.f64N/A
+-commutativeN/A
*-commutativeN/A
lift-fma.f64N/A
lift-fabs.f64N/A
*-commutativeN/A
lift-fabs.f64N/A
lift-*.f6478.3
Applied rewrites78.3%
(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)
(fma t_0 (* x x) t_0)))))
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) / fma(t_0, (x * x), t_0));
}
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) / fma(t_0, Float64(x * x), t_0))) 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[(x * x), $MachinePrecision] + t$95$0), $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}{\mathsf{fma}\left(t\_0, x \cdot x, t\_0\right)}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites78.9%
Taylor expanded in x around 0
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
pow2N/A
lift-*.f64N/A
+-commutativeN/A
*-commutativeN/A
lift-fma.f64N/A
lift-fabs.f64N/A
*-commutativeN/A
lift-fabs.f64N/A
lift-*.f6478.3
Applied rewrites78.3%
lift-+.f64N/A
lift-*.f64N/A
lift-fma.f64N/A
associate-+l+N/A
pow2N/A
*-commutativeN/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fma.f64N/A
lift-fabs.f64N/A
lower-fma.f64N/A
pow2N/A
lift-*.f6478.3
Applied rewrites78.3%
(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 (fma x x 1.0))))))
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 * fma(x, x, 1.0)));
}
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 * fma(x, x, 1.0)))) 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[(x * x + 1.0), $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 \mathsf{fma}\left(x, x, 1\right)}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites78.9%
Taylor expanded in x around 0
+-commutativeN/A
pow2N/A
lower-fma.f6478.3
Applied rewrites78.3%
(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))))
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);
}
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) / t_0)) 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] / t$95$0), $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}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites78.9%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
lift-fma.f64N/A
lift-fabs.f6477.2
Applied rewrites77.2%
herbie shell --seed 2025134
(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)))))))