
(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 22 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 (fma 0.3275911 (fabs x) 1.0))
(t_1 (fma (fabs x) 0.3275911 1.0))
(t_2
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_1) 1.453152027) t_1) -1.421413741)
t_1)
-0.284496736)
t_1)
0.254829592))
(t_3 (exp (* x x)))
(t_4
(fma (/ t_2 (* t_1 t_3)) (fma (/ t_2 t_1) (exp (* (- x) x)) 1.0) 1.0))
(t_5
(/
(+
0.254829592
(/
(+
-0.284496736
(/
(- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741)
t_0))
t_0))
(* t_3 t_0)))
(t_6 (+ (+ 1.0 (pow t_5 6.0)) (pow t_5 3.0))))
(- (/ (/ 1.0 t_6) t_4) (/ (/ (pow t_5 9.0) t_6) t_4))))
double code(double x) {
double t_0 = fma(0.3275911, fabs(x), 1.0);
double t_1 = fma(fabs(x), 0.3275911, 1.0);
double t_2 = (((((((1.061405429 / t_1) - 1.453152027) / t_1) - -1.421413741) / t_1) + -0.284496736) / t_1) + 0.254829592;
double t_3 = exp((x * x));
double t_4 = fma((t_2 / (t_1 * t_3)), fma((t_2 / t_1), exp((-x * x)), 1.0), 1.0);
double t_5 = (0.254829592 + ((-0.284496736 + (((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0)) / t_0)) / (t_3 * t_0);
double t_6 = (1.0 + pow(t_5, 6.0)) + pow(t_5, 3.0);
return ((1.0 / t_6) / t_4) - ((pow(t_5, 9.0) / t_6) / t_4);
}
function code(x) t_0 = fma(0.3275911, abs(x), 1.0) t_1 = fma(abs(x), 0.3275911, 1.0) t_2 = Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_1) - 1.453152027) / t_1) - -1.421413741) / t_1) + -0.284496736) / t_1) + 0.254829592) t_3 = exp(Float64(x * x)) t_4 = fma(Float64(t_2 / Float64(t_1 * t_3)), fma(Float64(t_2 / t_1), exp(Float64(Float64(-x) * x)), 1.0), 1.0) t_5 = Float64(Float64(0.254829592 + Float64(Float64(-0.284496736 + Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0)) / t_0)) / Float64(t_3 * t_0)) t_6 = Float64(Float64(1.0 + (t_5 ^ 6.0)) + (t_5 ^ 3.0)) return Float64(Float64(Float64(1.0 / t_6) / t_4) - Float64(Float64((t_5 ^ 9.0) / t_6) / t_4)) end
code[x_] := Block[{t$95$0 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$1), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$1), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$1), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$1), $MachinePrecision] + 0.254829592), $MachinePrecision]}, Block[{t$95$3 = N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$2 / N[(t$95$1 * t$95$3), $MachinePrecision]), $MachinePrecision] * N[(N[(t$95$2 / t$95$1), $MachinePrecision] * N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision] + 1.0), $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$5 = N[(N[(0.254829592 + N[(N[(-0.284496736 + 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]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / N[(t$95$3 * t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[(1.0 + N[Power[t$95$5, 6.0], $MachinePrecision]), $MachinePrecision] + N[Power[t$95$5, 3.0], $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(1.0 / t$95$6), $MachinePrecision] / t$95$4), $MachinePrecision] - N[(N[(N[Power[t$95$5, 9.0], $MachinePrecision] / t$95$6), $MachinePrecision] / t$95$4), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
t_1 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_2 := \frac{\frac{\frac{\frac{1.061405429}{t\_1} - 1.453152027}{t\_1} - -1.421413741}{t\_1} + -0.284496736}{t\_1} + 0.254829592\\
t_3 := e^{x \cdot x}\\
t_4 := \mathsf{fma}\left(\frac{t\_2}{t\_1 \cdot t\_3}, \mathsf{fma}\left(\frac{t\_2}{t\_1}, e^{\left(-x\right) \cdot x}, 1\right), 1\right)\\
t_5 := \frac{0.254829592 + \frac{-0.284496736 + \frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0}}{t\_0}}{t\_3 \cdot t\_0}\\
t_6 := \left(1 + {t\_5}^{6}\right) + {t\_5}^{3}\\
\frac{\frac{1}{t\_6}}{t\_4} - \frac{\frac{{t\_5}^{9}}{t\_6}}{t\_4}
\end{array}
\end{array}
Initial program 79.2%
Applied rewrites79.3%
Applied rewrites79.4%
Applied rewrites80.5%
Applied rewrites83.4%
(FPCore (x)
:precision binary64
(let* ((t_0 (+ 1.0 (* 0.3275911 (fabs x))))
(t_1 (fma 0.3275911 (fabs x) 1.0))
(t_2 (exp (* x x)))
(t_3 (* t_2 t_1))
(t_4
(/
(+
0.254829592
(/
(+
-0.284496736
(/
(- (/ (- (/ 1.061405429 t_1) 1.453152027) t_1) -1.421413741)
t_1))
t_1))
t_3))
(t_5 (fma (fabs x) 0.3275911 1.0))
(t_6
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_5) 1.453152027) t_5) -1.421413741)
t_5)
-0.284496736)
t_5)
0.254829592))
(t_7 (pow t_4 3.0)))
(/
(-
(/ 1.0 (+ (+ 1.0 (pow t_4 6.0)) t_7))
(/
(pow t_4 9.0)
(+
(+
1.0
(pow
(/
(+
0.254829592
(/
(+
-0.284496736
(/
(-
(+ 1.421413741 (/ 1.061405429 (* t_0 t_0)))
(/ 1.453152027 t_0))
t_1))
t_1))
t_3)
6.0))
t_7)))
(fma (/ t_6 (* t_5 t_2)) (fma (/ t_6 t_5) (exp (* (- x) x)) 1.0) 1.0))))
double code(double x) {
double t_0 = 1.0 + (0.3275911 * fabs(x));
double t_1 = fma(0.3275911, fabs(x), 1.0);
double t_2 = exp((x * x));
double t_3 = t_2 * t_1;
double t_4 = (0.254829592 + ((-0.284496736 + (((((1.061405429 / t_1) - 1.453152027) / t_1) - -1.421413741) / t_1)) / t_1)) / t_3;
double t_5 = fma(fabs(x), 0.3275911, 1.0);
double t_6 = (((((((1.061405429 / t_5) - 1.453152027) / t_5) - -1.421413741) / t_5) + -0.284496736) / t_5) + 0.254829592;
double t_7 = pow(t_4, 3.0);
return ((1.0 / ((1.0 + pow(t_4, 6.0)) + t_7)) - (pow(t_4, 9.0) / ((1.0 + pow(((0.254829592 + ((-0.284496736 + (((1.421413741 + (1.061405429 / (t_0 * t_0))) - (1.453152027 / t_0)) / t_1)) / t_1)) / t_3), 6.0)) + t_7))) / fma((t_6 / (t_5 * t_2)), fma((t_6 / t_5), exp((-x * x)), 1.0), 1.0);
}
function code(x) t_0 = Float64(1.0 + Float64(0.3275911 * abs(x))) t_1 = fma(0.3275911, abs(x), 1.0) t_2 = exp(Float64(x * x)) t_3 = Float64(t_2 * t_1) t_4 = Float64(Float64(0.254829592 + Float64(Float64(-0.284496736 + Float64(Float64(Float64(Float64(Float64(1.061405429 / t_1) - 1.453152027) / t_1) - -1.421413741) / t_1)) / t_1)) / t_3) t_5 = fma(abs(x), 0.3275911, 1.0) t_6 = Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_5) - 1.453152027) / t_5) - -1.421413741) / t_5) + -0.284496736) / t_5) + 0.254829592) t_7 = t_4 ^ 3.0 return Float64(Float64(Float64(1.0 / Float64(Float64(1.0 + (t_4 ^ 6.0)) + t_7)) - Float64((t_4 ^ 9.0) / Float64(Float64(1.0 + (Float64(Float64(0.254829592 + Float64(Float64(-0.284496736 + Float64(Float64(Float64(1.421413741 + Float64(1.061405429 / Float64(t_0 * t_0))) - Float64(1.453152027 / t_0)) / t_1)) / t_1)) / t_3) ^ 6.0)) + t_7))) / fma(Float64(t_6 / Float64(t_5 * t_2)), fma(Float64(t_6 / t_5), exp(Float64(Float64(-x) * x)), 1.0), 1.0)) end
code[x_] := Block[{t$95$0 = N[(1.0 + N[(0.3275911 * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$2 = N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 * t$95$1), $MachinePrecision]}, Block[{t$95$4 = N[(N[(0.254829592 + N[(N[(-0.284496736 + N[(N[(N[(N[(N[(1.061405429 / t$95$1), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$1), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision] / t$95$3), $MachinePrecision]}, Block[{t$95$5 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$5), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$5), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$5), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$5), $MachinePrecision] + 0.254829592), $MachinePrecision]}, Block[{t$95$7 = N[Power[t$95$4, 3.0], $MachinePrecision]}, N[(N[(N[(1.0 / N[(N[(1.0 + N[Power[t$95$4, 6.0], $MachinePrecision]), $MachinePrecision] + t$95$7), $MachinePrecision]), $MachinePrecision] - N[(N[Power[t$95$4, 9.0], $MachinePrecision] / N[(N[(1.0 + N[Power[N[(N[(0.254829592 + N[(N[(-0.284496736 + N[(N[(N[(1.421413741 + N[(1.061405429 / N[(t$95$0 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(1.453152027 / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision] / t$95$3), $MachinePrecision], 6.0], $MachinePrecision]), $MachinePrecision] + t$95$7), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$6 / N[(t$95$5 * t$95$2), $MachinePrecision]), $MachinePrecision] * N[(N[(t$95$6 / t$95$5), $MachinePrecision] * N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision] + 1.0), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 1 + 0.3275911 \cdot \left|x\right|\\
t_1 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
t_2 := e^{x \cdot x}\\
t_3 := t\_2 \cdot t\_1\\
t_4 := \frac{0.254829592 + \frac{-0.284496736 + \frac{\frac{\frac{1.061405429}{t\_1} - 1.453152027}{t\_1} - -1.421413741}{t\_1}}{t\_1}}{t\_3}\\
t_5 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_6 := \frac{\frac{\frac{\frac{1.061405429}{t\_5} - 1.453152027}{t\_5} - -1.421413741}{t\_5} + -0.284496736}{t\_5} + 0.254829592\\
t_7 := {t\_4}^{3}\\
\frac{\frac{1}{\left(1 + {t\_4}^{6}\right) + t\_7} - \frac{{t\_4}^{9}}{\left(1 + {\left(\frac{0.254829592 + \frac{-0.284496736 + \frac{\left(1.421413741 + \frac{1.061405429}{t\_0 \cdot t\_0}\right) - \frac{1.453152027}{t\_0}}{t\_1}}{t\_1}}{t\_3}\right)}^{6}\right) + t\_7}}{\mathsf{fma}\left(\frac{t\_6}{t\_5 \cdot t\_2}, \mathsf{fma}\left(\frac{t\_6}{t\_5}, e^{\left(-x\right) \cdot x}, 1\right), 1\right)}
\end{array}
\end{array}
Initial program 79.2%
Applied rewrites79.3%
Applied rewrites79.4%
Applied rewrites80.5%
Taylor expanded in x around 0
lower--.f64N/A
Applied rewrites80.5%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.3275911 (fabs x) 1.0))
(t_1 (exp (* x x)))
(t_2
(/
(+
0.254829592
(/
(+
-0.284496736
(/
(- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741)
t_0))
t_0))
(* t_1 t_0)))
(t_3 (fma (fabs x) 0.3275911 1.0))
(t_4 (+ (+ 1.0 (pow t_2 6.0)) (pow t_2 3.0)))
(t_5
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_3) 1.453152027) t_3) -1.421413741)
t_3)
-0.284496736)
t_3)
0.254829592)))
(/
(- (/ 1.0 t_4) (/ (pow t_2 9.0) t_4))
(fma (/ t_5 (* t_3 t_1)) (fma (/ t_5 t_3) (exp (* (- x) x)) 1.0) 1.0))))
double code(double x) {
double t_0 = fma(0.3275911, fabs(x), 1.0);
double t_1 = exp((x * x));
double t_2 = (0.254829592 + ((-0.284496736 + (((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0)) / t_0)) / (t_1 * t_0);
double t_3 = fma(fabs(x), 0.3275911, 1.0);
double t_4 = (1.0 + pow(t_2, 6.0)) + pow(t_2, 3.0);
double t_5 = (((((((1.061405429 / t_3) - 1.453152027) / t_3) - -1.421413741) / t_3) + -0.284496736) / t_3) + 0.254829592;
return ((1.0 / t_4) - (pow(t_2, 9.0) / t_4)) / fma((t_5 / (t_3 * t_1)), fma((t_5 / t_3), exp((-x * x)), 1.0), 1.0);
}
function code(x) t_0 = fma(0.3275911, abs(x), 1.0) t_1 = exp(Float64(x * x)) t_2 = Float64(Float64(0.254829592 + Float64(Float64(-0.284496736 + Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0)) / t_0)) / Float64(t_1 * t_0)) t_3 = fma(abs(x), 0.3275911, 1.0) t_4 = Float64(Float64(1.0 + (t_2 ^ 6.0)) + (t_2 ^ 3.0)) t_5 = Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_3) - 1.453152027) / t_3) - -1.421413741) / t_3) + -0.284496736) / t_3) + 0.254829592) return Float64(Float64(Float64(1.0 / t_4) - Float64((t_2 ^ 9.0) / t_4)) / fma(Float64(t_5 / Float64(t_3 * t_1)), fma(Float64(t_5 / t_3), exp(Float64(Float64(-x) * x)), 1.0), 1.0)) end
code[x_] := Block[{t$95$0 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(0.254829592 + N[(N[(-0.284496736 + 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]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / N[(t$95$1 * t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$4 = N[(N[(1.0 + N[Power[t$95$2, 6.0], $MachinePrecision]), $MachinePrecision] + N[Power[t$95$2, 3.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$3), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$3), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$3), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$3), $MachinePrecision] + 0.254829592), $MachinePrecision]}, N[(N[(N[(1.0 / t$95$4), $MachinePrecision] - N[(N[Power[t$95$2, 9.0], $MachinePrecision] / t$95$4), $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$5 / N[(t$95$3 * t$95$1), $MachinePrecision]), $MachinePrecision] * N[(N[(t$95$5 / t$95$3), $MachinePrecision] * N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision] + 1.0), $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 := e^{x \cdot x}\\
t_2 := \frac{0.254829592 + \frac{-0.284496736 + \frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0}}{t\_0}}{t\_1 \cdot t\_0}\\
t_3 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_4 := \left(1 + {t\_2}^{6}\right) + {t\_2}^{3}\\
t_5 := \frac{\frac{\frac{\frac{1.061405429}{t\_3} - 1.453152027}{t\_3} - -1.421413741}{t\_3} + -0.284496736}{t\_3} + 0.254829592\\
\frac{\frac{1}{t\_4} - \frac{{t\_2}^{9}}{t\_4}}{\mathsf{fma}\left(\frac{t\_5}{t\_3 \cdot t\_1}, \mathsf{fma}\left(\frac{t\_5}{t\_3}, e^{\left(-x\right) \cdot x}, 1\right), 1\right)}
\end{array}
\end{array}
Initial program 79.2%
Applied rewrites79.3%
Applied rewrites79.4%
Applied rewrites80.5%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.3275911 (fabs x) 1.0))
(t_1
(+
0.254829592
(/
(+
-0.284496736
(/
(- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741)
t_0))
t_0)))
(t_2 (exp (* x x)))
(t_3 (/ t_1 (* t_2 t_0)))
(t_4 (+ 1.0 (pow t_3 6.0)))
(t_5 (fma (fabs x) 0.3275911 1.0))
(t_6
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_5) 1.453152027) t_5) -1.421413741)
t_5)
-0.284496736)
t_5)
0.254829592)))
(/
(-
(/
1.0
(+
t_4
(pow (/ t_1 (* (+ 1.0 (* (* x x) (+ 1.0 (* 0.5 (* x x))))) t_0)) 3.0)))
(/ (pow t_3 9.0) (+ t_4 (pow t_3 3.0))))
(fma (/ t_6 (* t_5 t_2)) (fma (/ t_6 t_5) (exp (* (- x) x)) 1.0) 1.0))))
double code(double x) {
double t_0 = fma(0.3275911, fabs(x), 1.0);
double t_1 = 0.254829592 + ((-0.284496736 + (((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0)) / t_0);
double t_2 = exp((x * x));
double t_3 = t_1 / (t_2 * t_0);
double t_4 = 1.0 + pow(t_3, 6.0);
double t_5 = fma(fabs(x), 0.3275911, 1.0);
double t_6 = (((((((1.061405429 / t_5) - 1.453152027) / t_5) - -1.421413741) / t_5) + -0.284496736) / t_5) + 0.254829592;
return ((1.0 / (t_4 + pow((t_1 / ((1.0 + ((x * x) * (1.0 + (0.5 * (x * x))))) * t_0)), 3.0))) - (pow(t_3, 9.0) / (t_4 + pow(t_3, 3.0)))) / fma((t_6 / (t_5 * t_2)), fma((t_6 / t_5), exp((-x * x)), 1.0), 1.0);
}
function code(x) t_0 = fma(0.3275911, abs(x), 1.0) t_1 = Float64(0.254829592 + Float64(Float64(-0.284496736 + Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0)) / t_0)) t_2 = exp(Float64(x * x)) t_3 = Float64(t_1 / Float64(t_2 * t_0)) t_4 = Float64(1.0 + (t_3 ^ 6.0)) t_5 = fma(abs(x), 0.3275911, 1.0) t_6 = Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_5) - 1.453152027) / t_5) - -1.421413741) / t_5) + -0.284496736) / t_5) + 0.254829592) return Float64(Float64(Float64(1.0 / Float64(t_4 + (Float64(t_1 / Float64(Float64(1.0 + Float64(Float64(x * x) * Float64(1.0 + Float64(0.5 * Float64(x * x))))) * t_0)) ^ 3.0))) - Float64((t_3 ^ 9.0) / Float64(t_4 + (t_3 ^ 3.0)))) / fma(Float64(t_6 / Float64(t_5 * t_2)), fma(Float64(t_6 / t_5), exp(Float64(Float64(-x) * x)), 1.0), 1.0)) end
code[x_] := Block[{t$95$0 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(0.254829592 + N[(N[(-0.284496736 + 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]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$1 / N[(t$95$2 * t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(1.0 + N[Power[t$95$3, 6.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$5), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$5), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$5), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$5), $MachinePrecision] + 0.254829592), $MachinePrecision]}, N[(N[(N[(1.0 / N[(t$95$4 + N[Power[N[(t$95$1 / N[(N[(1.0 + N[(N[(x * x), $MachinePrecision] * N[(1.0 + N[(0.5 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Power[t$95$3, 9.0], $MachinePrecision] / N[(t$95$4 + N[Power[t$95$3, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$6 / N[(t$95$5 * t$95$2), $MachinePrecision]), $MachinePrecision] * N[(N[(t$95$6 / t$95$5), $MachinePrecision] * N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision] + 1.0), $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 := 0.254829592 + \frac{-0.284496736 + \frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0}}{t\_0}\\
t_2 := e^{x \cdot x}\\
t_3 := \frac{t\_1}{t\_2 \cdot t\_0}\\
t_4 := 1 + {t\_3}^{6}\\
t_5 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_6 := \frac{\frac{\frac{\frac{1.061405429}{t\_5} - 1.453152027}{t\_5} - -1.421413741}{t\_5} + -0.284496736}{t\_5} + 0.254829592\\
\frac{\frac{1}{t\_4 + {\left(\frac{t\_1}{\left(1 + \left(x \cdot x\right) \cdot \left(1 + 0.5 \cdot \left(x \cdot x\right)\right)\right) \cdot t\_0}\right)}^{3}} - \frac{{t\_3}^{9}}{t\_4 + {t\_3}^{3}}}{\mathsf{fma}\left(\frac{t\_6}{t\_5 \cdot t\_2}, \mathsf{fma}\left(\frac{t\_6}{t\_5}, e^{\left(-x\right) \cdot x}, 1\right), 1\right)}
\end{array}
\end{array}
Initial program 79.2%
Applied rewrites79.3%
Applied rewrites79.4%
Applied rewrites80.5%
Taylor expanded in x around 0
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f64N/A
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6480.3
Applied rewrites80.3%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.3275911 (fabs x) 1.0))
(t_1 (exp (* x x)))
(t_2
(/
(+
0.254829592
(/
(+
-0.284496736
(/
(- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741)
t_0))
t_0))
(* t_1 t_0)))
(t_3 (fma (fabs x) 0.3275911 1.0))
(t_4
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_3) 1.453152027) t_3) -1.421413741)
t_3)
-0.284496736)
t_3)
0.254829592)))
(/
(/ (- 1.0 (pow t_2 9.0)) (+ 1.0 (+ (pow t_2 6.0) (* 1.0 (pow t_2 3.0)))))
(fma (/ t_4 (* t_3 t_1)) (fma (/ t_4 t_3) (exp (* (- x) x)) 1.0) 1.0))))
double code(double x) {
double t_0 = fma(0.3275911, fabs(x), 1.0);
double t_1 = exp((x * x));
double t_2 = (0.254829592 + ((-0.284496736 + (((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0)) / t_0)) / (t_1 * t_0);
double t_3 = fma(fabs(x), 0.3275911, 1.0);
double t_4 = (((((((1.061405429 / t_3) - 1.453152027) / t_3) - -1.421413741) / t_3) + -0.284496736) / t_3) + 0.254829592;
return ((1.0 - pow(t_2, 9.0)) / (1.0 + (pow(t_2, 6.0) + (1.0 * pow(t_2, 3.0))))) / fma((t_4 / (t_3 * t_1)), fma((t_4 / t_3), exp((-x * x)), 1.0), 1.0);
}
function code(x) t_0 = fma(0.3275911, abs(x), 1.0) t_1 = exp(Float64(x * x)) t_2 = Float64(Float64(0.254829592 + Float64(Float64(-0.284496736 + Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0)) / t_0)) / Float64(t_1 * t_0)) t_3 = fma(abs(x), 0.3275911, 1.0) t_4 = Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_3) - 1.453152027) / t_3) - -1.421413741) / t_3) + -0.284496736) / t_3) + 0.254829592) return Float64(Float64(Float64(1.0 - (t_2 ^ 9.0)) / Float64(1.0 + Float64((t_2 ^ 6.0) + Float64(1.0 * (t_2 ^ 3.0))))) / fma(Float64(t_4 / Float64(t_3 * t_1)), fma(Float64(t_4 / t_3), exp(Float64(Float64(-x) * x)), 1.0), 1.0)) end
code[x_] := Block[{t$95$0 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(0.254829592 + N[(N[(-0.284496736 + 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]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / N[(t$95$1 * t$95$0), $MachinePrecision]), $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[(1.061405429 / t$95$3), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$3), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$3), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$3), $MachinePrecision] + 0.254829592), $MachinePrecision]}, N[(N[(N[(1.0 - N[Power[t$95$2, 9.0], $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[Power[t$95$2, 6.0], $MachinePrecision] + N[(1.0 * N[Power[t$95$2, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$4 / N[(t$95$3 * t$95$1), $MachinePrecision]), $MachinePrecision] * N[(N[(t$95$4 / t$95$3), $MachinePrecision] * N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision] + 1.0), $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 := e^{x \cdot x}\\
t_2 := \frac{0.254829592 + \frac{-0.284496736 + \frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0}}{t\_0}}{t\_1 \cdot t\_0}\\
t_3 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_4 := \frac{\frac{\frac{\frac{1.061405429}{t\_3} - 1.453152027}{t\_3} - -1.421413741}{t\_3} + -0.284496736}{t\_3} + 0.254829592\\
\frac{\frac{1 - {t\_2}^{9}}{1 + \left({t\_2}^{6} + 1 \cdot {t\_2}^{3}\right)}}{\mathsf{fma}\left(\frac{t\_4}{t\_3 \cdot t\_1}, \mathsf{fma}\left(\frac{t\_4}{t\_3}, e^{\left(-x\right) \cdot x}, 1\right), 1\right)}
\end{array}
\end{array}
Initial program 79.2%
Applied rewrites79.3%
Applied rewrites79.4%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.3275911 (fabs x) 1.0))
(t_1 (exp (* x x)))
(t_2
(/
(+
0.254829592
(/
(+
-0.284496736
(/
(- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741)
t_0))
t_0))
(* t_1 t_0)))
(t_3 (fma (fabs x) 0.3275911 1.0))
(t_4
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_3) 1.453152027) t_3) -1.421413741)
t_3)
-0.284496736)
t_3)
0.254829592)))
(/
(/ (- 1.0 (pow t_2 6.0)) (+ 1.0 (pow t_2 3.0)))
(fma (/ t_4 (* t_3 t_1)) (fma (/ t_4 t_3) (exp (* (- x) x)) 1.0) 1.0))))
double code(double x) {
double t_0 = fma(0.3275911, fabs(x), 1.0);
double t_1 = exp((x * x));
double t_2 = (0.254829592 + ((-0.284496736 + (((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0)) / t_0)) / (t_1 * t_0);
double t_3 = fma(fabs(x), 0.3275911, 1.0);
double t_4 = (((((((1.061405429 / t_3) - 1.453152027) / t_3) - -1.421413741) / t_3) + -0.284496736) / t_3) + 0.254829592;
return ((1.0 - pow(t_2, 6.0)) / (1.0 + pow(t_2, 3.0))) / fma((t_4 / (t_3 * t_1)), fma((t_4 / t_3), exp((-x * x)), 1.0), 1.0);
}
function code(x) t_0 = fma(0.3275911, abs(x), 1.0) t_1 = exp(Float64(x * x)) t_2 = Float64(Float64(0.254829592 + Float64(Float64(-0.284496736 + Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0)) / t_0)) / Float64(t_1 * t_0)) t_3 = fma(abs(x), 0.3275911, 1.0) t_4 = Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_3) - 1.453152027) / t_3) - -1.421413741) / t_3) + -0.284496736) / t_3) + 0.254829592) return Float64(Float64(Float64(1.0 - (t_2 ^ 6.0)) / Float64(1.0 + (t_2 ^ 3.0))) / fma(Float64(t_4 / Float64(t_3 * t_1)), fma(Float64(t_4 / t_3), exp(Float64(Float64(-x) * x)), 1.0), 1.0)) end
code[x_] := Block[{t$95$0 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(0.254829592 + N[(N[(-0.284496736 + 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]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / N[(t$95$1 * t$95$0), $MachinePrecision]), $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[(1.061405429 / t$95$3), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$3), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$3), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$3), $MachinePrecision] + 0.254829592), $MachinePrecision]}, N[(N[(N[(1.0 - N[Power[t$95$2, 6.0], $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[Power[t$95$2, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$4 / N[(t$95$3 * t$95$1), $MachinePrecision]), $MachinePrecision] * N[(N[(t$95$4 / t$95$3), $MachinePrecision] * N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision] + 1.0), $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 := e^{x \cdot x}\\
t_2 := \frac{0.254829592 + \frac{-0.284496736 + \frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0}}{t\_0}}{t\_1 \cdot t\_0}\\
t_3 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_4 := \frac{\frac{\frac{\frac{1.061405429}{t\_3} - 1.453152027}{t\_3} - -1.421413741}{t\_3} + -0.284496736}{t\_3} + 0.254829592\\
\frac{\frac{1 - {t\_2}^{6}}{1 + {t\_2}^{3}}}{\mathsf{fma}\left(\frac{t\_4}{t\_3 \cdot t\_1}, \mathsf{fma}\left(\frac{t\_4}{t\_3}, e^{\left(-x\right) \cdot x}, 1\right), 1\right)}
\end{array}
\end{array}
Initial program 79.2%
Applied rewrites79.3%
Applied rewrites79.3%
(FPCore (x)
:precision binary64
(let* ((t_0 (* 0.3275911 (fabs x)))
(t_1 (exp (* x x)))
(t_2 (fma (fabs x) 0.3275911 1.0))
(t_3
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_2) 1.453152027) t_2) -1.421413741)
t_2)
-0.284496736)
t_2)
0.254829592)))
(/
(- 1.0 (pow (/ t_3 (* (/ (- (* t_0 t_0) 1.0) (- t_0 1.0)) t_1)) 3.0))
(fma (/ t_3 (* t_2 t_1)) (fma (/ t_3 t_2) (exp (* (- x) x)) 1.0) 1.0))))
double code(double x) {
double t_0 = 0.3275911 * fabs(x);
double t_1 = exp((x * x));
double t_2 = fma(fabs(x), 0.3275911, 1.0);
double t_3 = (((((((1.061405429 / t_2) - 1.453152027) / t_2) - -1.421413741) / t_2) + -0.284496736) / t_2) + 0.254829592;
return (1.0 - pow((t_3 / ((((t_0 * t_0) - 1.0) / (t_0 - 1.0)) * t_1)), 3.0)) / fma((t_3 / (t_2 * t_1)), fma((t_3 / t_2), exp((-x * x)), 1.0), 1.0);
}
function code(x) t_0 = Float64(0.3275911 * abs(x)) t_1 = exp(Float64(x * x)) t_2 = fma(abs(x), 0.3275911, 1.0) t_3 = Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_2) - 1.453152027) / t_2) - -1.421413741) / t_2) + -0.284496736) / t_2) + 0.254829592) return Float64(Float64(1.0 - (Float64(t_3 / Float64(Float64(Float64(Float64(t_0 * t_0) - 1.0) / Float64(t_0 - 1.0)) * t_1)) ^ 3.0)) / fma(Float64(t_3 / Float64(t_2 * t_1)), fma(Float64(t_3 / t_2), exp(Float64(Float64(-x) * x)), 1.0), 1.0)) end
code[x_] := Block[{t$95$0 = N[(0.3275911 * N[Abs[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$2), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$2), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$2), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$2), $MachinePrecision] + 0.254829592), $MachinePrecision]}, N[(N[(1.0 - N[Power[N[(t$95$3 / N[(N[(N[(N[(t$95$0 * t$95$0), $MachinePrecision] - 1.0), $MachinePrecision] / N[(t$95$0 - 1.0), $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$3 / N[(t$95$2 * t$95$1), $MachinePrecision]), $MachinePrecision] * N[(N[(t$95$3 / t$95$2), $MachinePrecision] * N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision] + 1.0), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.3275911 \cdot \left|x\right|\\
t_1 := e^{x \cdot x}\\
t_2 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_3 := \frac{\frac{\frac{\frac{1.061405429}{t\_2} - 1.453152027}{t\_2} - -1.421413741}{t\_2} + -0.284496736}{t\_2} + 0.254829592\\
\frac{1 - {\left(\frac{t\_3}{\frac{t\_0 \cdot t\_0 - 1}{t\_0 - 1} \cdot t\_1}\right)}^{3}}{\mathsf{fma}\left(\frac{t\_3}{t\_2 \cdot t\_1}, \mathsf{fma}\left(\frac{t\_3}{t\_2}, e^{\left(-x\right) \cdot x}, 1\right), 1\right)}
\end{array}
\end{array}
Initial program 79.2%
Applied rewrites79.3%
lift-fma.f64N/A
flip-+N/A
lower-/.f64N/A
*-commutativeN/A
lift-fabs.f64N/A
*-commutativeN/A
lift-fabs.f64N/A
metadata-evalN/A
lower--.f64N/A
lower-*.f64N/A
lift-fabs.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-*.f64N/A
*-commutativeN/A
lift-fabs.f64N/A
lower--.f64N/A
lift-fabs.f64N/A
lift-*.f6479.3
Applied rewrites79.3%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.3275911 (fabs x) 1.0))
(t_1 (fma (fabs x) 0.3275911 1.0))
(t_2
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_1) 1.453152027) t_1) -1.421413741)
t_1)
-0.284496736)
t_1)
0.254829592)))
(/
(-
1.0
(exp
(*
(-
(log
(/
(+
0.254829592
(/
(+
-0.284496736
(/
(- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741)
t_0))
t_0))
t_0))
(* x x))
3.0)))
(fma
(/ t_2 (* t_1 (exp (* x x))))
(fma (/ t_2 t_1) (exp (* (- x) x)) 1.0)
1.0))))
double code(double x) {
double t_0 = fma(0.3275911, fabs(x), 1.0);
double t_1 = fma(fabs(x), 0.3275911, 1.0);
double t_2 = (((((((1.061405429 / t_1) - 1.453152027) / t_1) - -1.421413741) / t_1) + -0.284496736) / t_1) + 0.254829592;
return (1.0 - exp(((log(((0.254829592 + ((-0.284496736 + (((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0)) / t_0)) / t_0)) - (x * x)) * 3.0))) / fma((t_2 / (t_1 * exp((x * x)))), fma((t_2 / t_1), exp((-x * x)), 1.0), 1.0);
}
function code(x) t_0 = fma(0.3275911, abs(x), 1.0) t_1 = fma(abs(x), 0.3275911, 1.0) t_2 = Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_1) - 1.453152027) / t_1) - -1.421413741) / t_1) + -0.284496736) / t_1) + 0.254829592) return Float64(Float64(1.0 - exp(Float64(Float64(log(Float64(Float64(0.254829592 + Float64(Float64(-0.284496736 + Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0)) / t_0)) / t_0)) - Float64(x * x)) * 3.0))) / fma(Float64(t_2 / Float64(t_1 * exp(Float64(x * x)))), fma(Float64(t_2 / t_1), exp(Float64(Float64(-x) * x)), 1.0), 1.0)) end
code[x_] := Block[{t$95$0 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$1), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$1), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$1), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$1), $MachinePrecision] + 0.254829592), $MachinePrecision]}, N[(N[(1.0 - N[Exp[N[(N[(N[Log[N[(N[(0.254829592 + N[(N[(-0.284496736 + 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]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]], $MachinePrecision] - N[(x * x), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$2 / N[(t$95$1 * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(t$95$2 / t$95$1), $MachinePrecision] * N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision] + 1.0), $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 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_2 := \frac{\frac{\frac{\frac{1.061405429}{t\_1} - 1.453152027}{t\_1} - -1.421413741}{t\_1} + -0.284496736}{t\_1} + 0.254829592\\
\frac{1 - e^{\left(\log \left(\frac{0.254829592 + \frac{-0.284496736 + \frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0}}{t\_0}}{t\_0}\right) - x \cdot x\right) \cdot 3}}{\mathsf{fma}\left(\frac{t\_2}{t\_1 \cdot e^{x \cdot x}}, \mathsf{fma}\left(\frac{t\_2}{t\_1}, e^{\left(-x\right) \cdot x}, 1\right), 1\right)}
\end{array}
\end{array}
Initial program 79.2%
Applied rewrites79.3%
Applied rewrites79.3%
(FPCore (x)
:precision binary64
(let* ((t_0 (/ 1.0 (+ 1.0 (* 0.3275911 (fabs x)))))
(t_1 (fma -0.3275911 (fabs x) -1.0)))
(-
1.0
(*
(fma
t_0
0.254829592
(*
t_0
(*
t_0
(+
(fma
(/ 1.421413741 (- 1.0 (* 0.10731592879921 (* x x))))
(- 1.0 (* (fabs x) 0.3275911))
(/
(- (/ 1.061405429 (fma (fabs x) 0.3275911 1.0)) 1.453152027)
(* t_1 t_1)))
-0.284496736))))
(exp (- (* (fabs x) (fabs x))))))))
double code(double x) {
double t_0 = 1.0 / (1.0 + (0.3275911 * fabs(x)));
double t_1 = fma(-0.3275911, fabs(x), -1.0);
return 1.0 - (fma(t_0, 0.254829592, (t_0 * (t_0 * (fma((1.421413741 / (1.0 - (0.10731592879921 * (x * x)))), (1.0 - (fabs(x) * 0.3275911)), (((1.061405429 / fma(fabs(x), 0.3275911, 1.0)) - 1.453152027) / (t_1 * t_1))) + -0.284496736)))) * exp(-(fabs(x) * fabs(x))));
}
function code(x) t_0 = Float64(1.0 / Float64(1.0 + Float64(0.3275911 * abs(x)))) t_1 = fma(-0.3275911, abs(x), -1.0) return Float64(1.0 - Float64(fma(t_0, 0.254829592, Float64(t_0 * Float64(t_0 * Float64(fma(Float64(1.421413741 / Float64(1.0 - Float64(0.10731592879921 * Float64(x * x)))), Float64(1.0 - Float64(abs(x) * 0.3275911)), Float64(Float64(Float64(1.061405429 / fma(abs(x), 0.3275911, 1.0)) - 1.453152027) / Float64(t_1 * t_1))) + -0.284496736)))) * 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]}, Block[{t$95$1 = N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]}, N[(1.0 - N[(N[(t$95$0 * 0.254829592 + N[(t$95$0 * N[(t$95$0 * N[(N[(N[(1.421413741 / 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] + N[(N[(N[(1.061405429 / N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]), $MachinePrecision] - 1.453152027), $MachinePrecision] / N[(t$95$1 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + -0.284496736), $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|}\\
t_1 := \mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)\\
1 - \mathsf{fma}\left(t\_0, 0.254829592, t\_0 \cdot \left(t\_0 \cdot \left(\mathsf{fma}\left(\frac{1.421413741}{1 - 0.10731592879921 \cdot \left(x \cdot x\right)}, 1 - \left|x\right| \cdot 0.3275911, \frac{\frac{1.061405429}{\mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)} - 1.453152027}{t\_1 \cdot t\_1}\right) + -0.284496736\right)\right)\right) \cdot e^{-\left|x\right| \cdot \left|x\right|}
\end{array}
\end{array}
Initial program 79.2%
Applied rewrites79.2%
Applied rewrites79.2%
(FPCore (x)
:precision binary64
(let* ((t_0 (* (fabs x) 0.3275911)) (t_1 (fma (fabs x) 0.3275911 1.0)))
(-
1.0
(/
(/
(+
(/
(+
(/ (- (/ (- (/ 1.061405429 t_1) 1.453152027) t_1) -1.421413741) t_1)
-0.284496736)
t_1)
0.254829592)
(/ (- (* t_0 t_0) 1.0) (- t_0 1.0)))
(exp (* x x))))))
double code(double x) {
double t_0 = fabs(x) * 0.3275911;
double t_1 = fma(fabs(x), 0.3275911, 1.0);
return 1.0 - ((((((((((1.061405429 / t_1) - 1.453152027) / t_1) - -1.421413741) / t_1) + -0.284496736) / t_1) + 0.254829592) / (((t_0 * t_0) - 1.0) / (t_0 - 1.0))) / exp((x * x)));
}
function code(x) t_0 = Float64(abs(x) * 0.3275911) t_1 = fma(abs(x), 0.3275911, 1.0) return Float64(1.0 - Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_1) - 1.453152027) / t_1) - -1.421413741) / t_1) + -0.284496736) / t_1) + 0.254829592) / Float64(Float64(Float64(t_0 * t_0) - 1.0) / Float64(t_0 - 1.0))) / exp(Float64(x * x)))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911), $MachinePrecision]}, Block[{t$95$1 = 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$1), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$1), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$1), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$1), $MachinePrecision] + 0.254829592), $MachinePrecision] / N[(N[(N[(t$95$0 * t$95$0), $MachinePrecision] - 1.0), $MachinePrecision] / N[(t$95$0 - 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left|x\right| \cdot 0.3275911\\
t_1 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
1 - \frac{\frac{\frac{\frac{\frac{\frac{1.061405429}{t\_1} - 1.453152027}{t\_1} - -1.421413741}{t\_1} + -0.284496736}{t\_1} + 0.254829592}{\frac{t\_0 \cdot t\_0 - 1}{t\_0 - 1}}}{e^{x \cdot x}}
\end{array}
\end{array}
Initial program 79.2%
Applied rewrites79.2%
lift-fma.f64N/A
lift-*.f64N/A
flip-+N/A
lower-/.f64N/A
metadata-evalN/A
lower--.f64N/A
lower-*.f64N/A
lower--.f6479.2
Applied rewrites79.2%
(FPCore (x)
:precision binary64
(let* ((t_0 (* 0.3275911 (fabs x))) (t_1 (fma (fabs x) 0.3275911 1.0)))
(-
1.0
(/
(+
(/
(+
(/ (- (/ (- (/ 1.061405429 t_1) 1.453152027) t_1) -1.421413741) t_1)
-0.284496736)
t_1)
0.254829592)
(* (/ (- (* t_0 t_0) 1.0) (- t_0 1.0)) (exp (* x x)))))))
double code(double x) {
double t_0 = 0.3275911 * fabs(x);
double t_1 = fma(fabs(x), 0.3275911, 1.0);
return 1.0 - (((((((((1.061405429 / t_1) - 1.453152027) / t_1) - -1.421413741) / t_1) + -0.284496736) / t_1) + 0.254829592) / ((((t_0 * t_0) - 1.0) / (t_0 - 1.0)) * exp((x * x))));
}
function code(x) t_0 = Float64(0.3275911 * abs(x)) t_1 = fma(abs(x), 0.3275911, 1.0) return Float64(1.0 - Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_1) - 1.453152027) / t_1) - -1.421413741) / t_1) + -0.284496736) / t_1) + 0.254829592) / Float64(Float64(Float64(Float64(t_0 * t_0) - 1.0) / Float64(t_0 - 1.0)) * exp(Float64(x * x))))) end
code[x_] := Block[{t$95$0 = N[(0.3275911 * N[Abs[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = 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$1), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$1), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$1), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$1), $MachinePrecision] + 0.254829592), $MachinePrecision] / N[(N[(N[(N[(t$95$0 * t$95$0), $MachinePrecision] - 1.0), $MachinePrecision] / N[(t$95$0 - 1.0), $MachinePrecision]), $MachinePrecision] * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.3275911 \cdot \left|x\right|\\
t_1 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
1 - \frac{\frac{\frac{\frac{\frac{1.061405429}{t\_1} - 1.453152027}{t\_1} - -1.421413741}{t\_1} + -0.284496736}{t\_1} + 0.254829592}{\frac{t\_0 \cdot t\_0 - 1}{t\_0 - 1} \cdot e^{x \cdot x}}
\end{array}
\end{array}
Initial program 79.2%
Applied rewrites79.2%
lift-fma.f64N/A
flip-+N/A
lower-/.f64N/A
*-commutativeN/A
lift-fabs.f64N/A
*-commutativeN/A
lift-fabs.f64N/A
metadata-evalN/A
lower--.f64N/A
lower-*.f64N/A
lift-fabs.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-*.f64N/A
*-commutativeN/A
lift-fabs.f64N/A
lower--.f64N/A
lift-fabs.f64N/A
lift-*.f6479.2
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)
(- 1.0 (* 0.10731592879921 (* x x))))
(- 1.0 (* (fabs x) 0.3275911)))
(exp (- (* (fabs x) (fabs 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) / (1.0 - (0.10731592879921 * (x * x)))) * (1.0 - (fabs(x) * 0.3275911))) * exp(-(fabs(x) * fabs(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(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / Float64(1.0 - Float64(0.10731592879921 * Float64(x * x)))) * Float64(1.0 - Float64(abs(x) * 0.3275911))) * exp(Float64(-Float64(abs(x) * abs(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[(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[(1.0 - N[(0.10731592879921 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[(N[Abs[x], $MachinePrecision] * 0.3275911), $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)\\
1 - \left(\frac{\frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{1 - 0.10731592879921 \cdot \left(x \cdot x\right)} \cdot \left(1 - \left|x\right| \cdot 0.3275911\right)\right) \cdot e^{-\left|x\right| \cdot \left|x\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(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / 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[(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{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{t\_0}}{e^{x \cdot x}}
\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(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 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 (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)
(+
1.0
(*
(* x x)
(+ 1.0 (* (* x x) (+ 0.5 (* 0.16666666666666666 (* 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) / (1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + (0.16666666666666666 * (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) / Float64(1.0 + Float64(Float64(x * x) * Float64(1.0 + Float64(Float64(x * x) * Float64(0.5 + Float64(0.16666666666666666 * 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[(1.0 + N[(N[(x * x), $MachinePrecision] * N[(1.0 + N[(N[(x * x), $MachinePrecision] * N[(0.5 + N[(0.16666666666666666 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $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{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{t\_0}}{1 + \left(x \cdot x\right) \cdot \left(1 + \left(x \cdot x\right) \cdot \left(0.5 + 0.16666666666666666 \cdot \left(x \cdot x\right)\right)\right)}
\end{array}
\end{array}
Initial program 79.2%
Applied rewrites79.2%
Taylor expanded in x around 0
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f64N/A
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f64N/A
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6479.0
Applied rewrites79.0%
(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
(fma (fma 0.16666666666666666 (* x x) 0.5) (* x x) 1.0)
(* 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(fma(fma(0.16666666666666666, (x * x), 0.5), (x * x), 1.0), (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(fma(fma(0.16666666666666666, Float64(x * x), 0.5), Float64(x * x), 1.0), Float64(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[(N[(N[(0.16666666666666666 * N[(x * x), $MachinePrecision] + 0.5), $MachinePrecision] * N[(x * x), $MachinePrecision] + 1.0), $MachinePrecision] * N[(x * x), $MachinePrecision] + 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(\mathsf{fma}\left(\mathsf{fma}\left(0.16666666666666666, x \cdot x, 0.5\right), x \cdot x, 1\right), x \cdot x, 1\right)}
\end{array}
\end{array}
Initial program 79.2%
Applied rewrites79.2%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
lower-fma.f64N/A
pow2N/A
lift-*.f64N/A
pow2N/A
lift-*.f64N/A
pow2N/A
lift-*.f6479.0
Applied rewrites79.0%
(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)
(+ 1.0 (* (* x x) (+ 1.0 (* 0.5 (* 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) / (1.0 + ((x * x) * (1.0 + (0.5 * (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) / Float64(1.0 + Float64(Float64(x * x) * Float64(1.0 + Float64(0.5 * 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[(1.0 + N[(N[(x * x), $MachinePrecision] * N[(1.0 + N[(0.5 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $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{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{t\_0}}{1 + \left(x \cdot x\right) \cdot \left(1 + 0.5 \cdot \left(x \cdot x\right)\right)}
\end{array}
\end{array}
Initial program 79.2%
Applied rewrites79.2%
Taylor expanded in x around 0
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f64N/A
lower-+.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f6478.9
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 (fma (fma 0.5 (* x x) 1.0) (* 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(fma(0.5, (x * x), 1.0), (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(fma(0.5, Float64(x * x), 1.0), Float64(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[(N[(0.5 * N[(x * x), $MachinePrecision] + 1.0), $MachinePrecision] * N[(x * x), $MachinePrecision] + 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(\mathsf{fma}\left(0.5, x \cdot x, 1\right), x \cdot x, 1\right)}
\end{array}
\end{array}
Initial program 79.2%
Applied rewrites79.2%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
lower-fma.f64N/A
pow2N/A
lift-*.f64N/A
pow2N/A
lift-*.f6478.9
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)
(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(Float64(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))) 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[(x * x + 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{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{t\_0}}{\mathsf{fma}\left(x, x, 1\right)}
\end{array}
\end{array}
Initial program 79.2%
Applied rewrites79.2%
Taylor expanded in x around 0
+-commutativeN/A
pow2N/A
lower-fma.f6478.7
Applied rewrites78.7%
lift-/.f64N/A
lift-*.f64N/A
associate-/r*N/A
lift-/.f64N/A
lower-/.f6478.7
Applied rewrites78.7%
(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 79.2%
Applied rewrites79.2%
Taylor expanded in x around 0
+-commutativeN/A
pow2N/A
lower-fma.f6478.7
Applied rewrites78.7%
(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 0.3275911 (fabs 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) / fma(0.3275911, fabs(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) / fma(0.3275911, abs(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[(0.3275911 * N[Abs[x], $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(0.3275911, \left|x\right|, 1\right)}
\end{array}
\end{array}
Initial program 79.2%
Applied rewrites79.2%
Taylor expanded in x around 0
+-commutativeN/A
lift-fabs.f64N/A
lower-fma.f6477.6
Applied rewrites77.6%
herbie shell --seed 2025101
(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)))))))