
(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 20 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 (fabs x) 0.3275911 1.0))
(t_1
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592))
(t_2 (/ t_1 (* (exp (* x x)) t_0)))
(t_3 (fma t_2 (+ t_2 1.0) 1.0))
(t_4 (- (log (/ t_1 t_0)) (* x x)))
(t_5 (+ (exp (* t_4 3.0)) (+ (exp (* t_4 6.0)) 1.0))))
(- (/ (/ 1.0 t_5) t_3) (/ (/ (exp (* t_4 9.0)) t_5) t_3))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = (((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592;
double t_2 = t_1 / (exp((x * x)) * t_0);
double t_3 = fma(t_2, (t_2 + 1.0), 1.0);
double t_4 = log((t_1 / t_0)) - (x * x);
double t_5 = exp((t_4 * 3.0)) + (exp((t_4 * 6.0)) + 1.0);
return ((1.0 / t_5) / t_3) - ((exp((t_4 * 9.0)) / t_5) / t_3);
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = 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_2 = Float64(t_1 / Float64(exp(Float64(x * x)) * t_0)) t_3 = fma(t_2, Float64(t_2 + 1.0), 1.0) t_4 = Float64(log(Float64(t_1 / t_0)) - Float64(x * x)) t_5 = Float64(exp(Float64(t_4 * 3.0)) + Float64(exp(Float64(t_4 * 6.0)) + 1.0)) return Float64(Float64(Float64(1.0 / t_5) / t_3) - Float64(Float64(exp(Float64(t_4 * 9.0)) / t_5) / t_3)) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = 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]}, Block[{t$95$2 = N[(t$95$1 / N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 * N[(t$95$2 + 1.0), $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$4 = N[(N[Log[N[(t$95$1 / t$95$0), $MachinePrecision]], $MachinePrecision] - N[(x * x), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[Exp[N[(t$95$4 * 3.0), $MachinePrecision]], $MachinePrecision] + N[(N[Exp[N[(t$95$4 * 6.0), $MachinePrecision]], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(1.0 / t$95$5), $MachinePrecision] / t$95$3), $MachinePrecision] - N[(N[(N[Exp[N[(t$95$4 * 9.0), $MachinePrecision]], $MachinePrecision] / t$95$5), $MachinePrecision] / t$95$3), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := \frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592\\
t_2 := \frac{t\_1}{e^{x \cdot x} \cdot t\_0}\\
t_3 := \mathsf{fma}\left(t\_2, t\_2 + 1, 1\right)\\
t_4 := \log \left(\frac{t\_1}{t\_0}\right) - x \cdot x\\
t_5 := e^{t\_4 \cdot 3} + \left(e^{t\_4 \cdot 6} + 1\right)\\
\frac{\frac{1}{t\_5}}{t\_3} - \frac{\frac{e^{t\_4 \cdot 9}}{t\_5}}{t\_3}
\end{array}
\end{array}
Initial program 79.1%
Applied rewrites79.1%
Applied rewrites79.2%
Applied rewrites80.3%
Applied rewrites83.3%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592))
(t_2 (/ t_1 (* (exp (* x x)) t_0)))
(t_3 (- (log (/ t_1 t_0)) (* x x)))
(t_4 (+ (+ 1.0 (exp (* t_3 6.0))) (exp (* t_3 3.0)))))
(/ (- (/ 1.0 t_4) (/ (exp (* t_3 9.0)) t_4)) (+ (* t_2 (+ t_2 1.0)) 1.0))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = (((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592;
double t_2 = t_1 / (exp((x * x)) * t_0);
double t_3 = log((t_1 / t_0)) - (x * x);
double t_4 = (1.0 + exp((t_3 * 6.0))) + exp((t_3 * 3.0));
return ((1.0 / t_4) - (exp((t_3 * 9.0)) / t_4)) / ((t_2 * (t_2 + 1.0)) + 1.0);
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = 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_2 = Float64(t_1 / Float64(exp(Float64(x * x)) * t_0)) t_3 = Float64(log(Float64(t_1 / t_0)) - Float64(x * x)) t_4 = Float64(Float64(1.0 + exp(Float64(t_3 * 6.0))) + exp(Float64(t_3 * 3.0))) return Float64(Float64(Float64(1.0 / t_4) - Float64(exp(Float64(t_3 * 9.0)) / t_4)) / Float64(Float64(t_2 * Float64(t_2 + 1.0)) + 1.0)) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = 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]}, Block[{t$95$2 = N[(t$95$1 / N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Log[N[(t$95$1 / t$95$0), $MachinePrecision]], $MachinePrecision] - N[(x * x), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(1.0 + N[Exp[N[(t$95$3 * 6.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[Exp[N[(t$95$3 * 3.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(1.0 / t$95$4), $MachinePrecision] - N[(N[Exp[N[(t$95$3 * 9.0), $MachinePrecision]], $MachinePrecision] / t$95$4), $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$2 * N[(t$95$2 + 1.0), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := \frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592\\
t_2 := \frac{t\_1}{e^{x \cdot x} \cdot t\_0}\\
t_3 := \log \left(\frac{t\_1}{t\_0}\right) - x \cdot x\\
t_4 := \left(1 + e^{t\_3 \cdot 6}\right) + e^{t\_3 \cdot 3}\\
\frac{\frac{1}{t\_4} - \frac{e^{t\_3 \cdot 9}}{t\_4}}{t\_2 \cdot \left(t\_2 + 1\right) + 1}
\end{array}
\end{array}
Initial program 79.1%
Applied rewrites79.1%
Applied rewrites79.2%
Applied rewrites80.3%
Applied rewrites80.3%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592))
(t_2 (/ t_1 (* t_0 (exp (* x x)))))
(t_3 (- (log (/ t_1 t_0)) (* x x)))
(t_4 (+ (+ 1.0 (exp (* t_3 6.0))) (exp (* t_3 3.0)))))
(/ (- (/ 1.0 t_4) (/ (exp (* t_3 9.0)) t_4)) (fma t_2 (+ t_2 1.0) 1.0))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = (((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592;
double t_2 = t_1 / (t_0 * exp((x * x)));
double t_3 = log((t_1 / t_0)) - (x * x);
double t_4 = (1.0 + exp((t_3 * 6.0))) + exp((t_3 * 3.0));
return ((1.0 / t_4) - (exp((t_3 * 9.0)) / t_4)) / fma(t_2, (t_2 + 1.0), 1.0);
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = 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_2 = Float64(t_1 / Float64(t_0 * exp(Float64(x * x)))) t_3 = Float64(log(Float64(t_1 / t_0)) - Float64(x * x)) t_4 = Float64(Float64(1.0 + exp(Float64(t_3 * 6.0))) + exp(Float64(t_3 * 3.0))) return Float64(Float64(Float64(1.0 / t_4) - Float64(exp(Float64(t_3 * 9.0)) / t_4)) / fma(t_2, Float64(t_2 + 1.0), 1.0)) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = 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]}, Block[{t$95$2 = N[(t$95$1 / N[(t$95$0 * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Log[N[(t$95$1 / t$95$0), $MachinePrecision]], $MachinePrecision] - N[(x * x), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(1.0 + N[Exp[N[(t$95$3 * 6.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[Exp[N[(t$95$3 * 3.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(1.0 / t$95$4), $MachinePrecision] - N[(N[Exp[N[(t$95$3 * 9.0), $MachinePrecision]], $MachinePrecision] / t$95$4), $MachinePrecision]), $MachinePrecision] / N[(t$95$2 * N[(t$95$2 + 1.0), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := \frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592\\
t_2 := \frac{t\_1}{t\_0 \cdot e^{x \cdot x}}\\
t_3 := \log \left(\frac{t\_1}{t\_0}\right) - x \cdot x\\
t_4 := \left(1 + e^{t\_3 \cdot 6}\right) + e^{t\_3 \cdot 3}\\
\frac{\frac{1}{t\_4} - \frac{e^{t\_3 \cdot 9}}{t\_4}}{\mathsf{fma}\left(t\_2, t\_2 + 1, 1\right)}
\end{array}
\end{array}
Initial program 79.1%
Applied rewrites79.1%
Applied rewrites79.2%
Applied rewrites80.3%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592))
(t_2 (/ t_1 (* t_0 (exp (* x x)))))
(t_3 (- (log (/ t_1 t_0)) (* x x)))
(t_4 (+ (+ 1.0 (exp (* t_3 6.0))) (exp (* -3.0 (* x x))))))
(/ (- (/ 1.0 t_4) (/ (exp (* t_3 9.0)) t_4)) (fma t_2 (+ t_2 1.0) 1.0))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = (((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592;
double t_2 = t_1 / (t_0 * exp((x * x)));
double t_3 = log((t_1 / t_0)) - (x * x);
double t_4 = (1.0 + exp((t_3 * 6.0))) + exp((-3.0 * (x * x)));
return ((1.0 / t_4) - (exp((t_3 * 9.0)) / t_4)) / fma(t_2, (t_2 + 1.0), 1.0);
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = 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_2 = Float64(t_1 / Float64(t_0 * exp(Float64(x * x)))) t_3 = Float64(log(Float64(t_1 / t_0)) - Float64(x * x)) t_4 = Float64(Float64(1.0 + exp(Float64(t_3 * 6.0))) + exp(Float64(-3.0 * Float64(x * x)))) return Float64(Float64(Float64(1.0 / t_4) - Float64(exp(Float64(t_3 * 9.0)) / t_4)) / fma(t_2, Float64(t_2 + 1.0), 1.0)) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = 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]}, Block[{t$95$2 = N[(t$95$1 / N[(t$95$0 * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Log[N[(t$95$1 / t$95$0), $MachinePrecision]], $MachinePrecision] - N[(x * x), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(1.0 + N[Exp[N[(t$95$3 * 6.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[Exp[N[(-3.0 * N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(1.0 / t$95$4), $MachinePrecision] - N[(N[Exp[N[(t$95$3 * 9.0), $MachinePrecision]], $MachinePrecision] / t$95$4), $MachinePrecision]), $MachinePrecision] / N[(t$95$2 * N[(t$95$2 + 1.0), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := \frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592\\
t_2 := \frac{t\_1}{t\_0 \cdot e^{x \cdot x}}\\
t_3 := \log \left(\frac{t\_1}{t\_0}\right) - x \cdot x\\
t_4 := \left(1 + e^{t\_3 \cdot 6}\right) + e^{-3 \cdot \left(x \cdot x\right)}\\
\frac{\frac{1}{t\_4} - \frac{e^{t\_3 \cdot 9}}{t\_4}}{\mathsf{fma}\left(t\_2, t\_2 + 1, 1\right)}
\end{array}
\end{array}
Initial program 79.1%
Applied rewrites79.1%
Applied rewrites79.2%
Applied rewrites80.3%
Taylor expanded in x around inf
lower-*.f64N/A
pow2N/A
lift-*.f6461.2
Applied rewrites61.2%
Taylor expanded in x around inf
lower-*.f64N/A
pow2N/A
lift-*.f6479.7
Applied rewrites79.7%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1
(/
(+
(/ (- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741) t_0)
-0.284496736)
t_0))
(t_2 (* (- (log (+ (/ t_1 t_0) (/ 0.254829592 t_0))) (* x x)) 3.0))
(t_3 (/ (+ t_1 0.254829592) (* t_0 (exp (* x x))))))
(/
(/
(- 1.0 (exp (* t_2 3.0)))
(+ 1.0 (+ (exp (* t_2 2.0)) (exp (+ 0.0 t_2)))))
(fma t_3 (+ t_3 1.0) 1.0))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = ((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0;
double t_2 = (log(((t_1 / t_0) + (0.254829592 / t_0))) - (x * x)) * 3.0;
double t_3 = (t_1 + 0.254829592) / (t_0 * exp((x * x)));
return ((1.0 - exp((t_2 * 3.0))) / (1.0 + (exp((t_2 * 2.0)) + exp((0.0 + t_2))))) / fma(t_3, (t_3 + 1.0), 1.0);
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) t_2 = Float64(Float64(log(Float64(Float64(t_1 / t_0) + Float64(0.254829592 / t_0))) - Float64(x * x)) * 3.0) t_3 = Float64(Float64(t_1 + 0.254829592) / Float64(t_0 * exp(Float64(x * x)))) return Float64(Float64(Float64(1.0 - exp(Float64(t_2 * 3.0))) / Float64(1.0 + Float64(exp(Float64(t_2 * 2.0)) + exp(Float64(0.0 + t_2))))) / fma(t_3, Float64(t_3 + 1.0), 1.0)) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = 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]}, Block[{t$95$2 = N[(N[(N[Log[N[(N[(t$95$1 / t$95$0), $MachinePrecision] + N[(0.254829592 / t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] - N[(x * x), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision]}, Block[{t$95$3 = N[(N[(t$95$1 + 0.254829592), $MachinePrecision] / N[(t$95$0 * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(1.0 - N[Exp[N[(t$95$2 * 3.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[Exp[N[(t$95$2 * 2.0), $MachinePrecision]], $MachinePrecision] + N[Exp[N[(0.0 + t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(t$95$3 * N[(t$95$3 + 1.0), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := \frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0}\\
t_2 := \left(\log \left(\frac{t\_1}{t\_0} + \frac{0.254829592}{t\_0}\right) - x \cdot x\right) \cdot 3\\
t_3 := \frac{t\_1 + 0.254829592}{t\_0 \cdot e^{x \cdot x}}\\
\frac{\frac{1 - e^{t\_2 \cdot 3}}{1 + \left(e^{t\_2 \cdot 2} + e^{0 + t\_2}\right)}}{\mathsf{fma}\left(t\_3, t\_3 + 1, 1\right)}
\end{array}
\end{array}
Initial program 79.1%
Applied rewrites79.1%
Applied rewrites79.2%
Applied rewrites79.2%
Applied rewrites79.2%
Applied rewrites79.2%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1 (fma 0.3275911 (fabs x) 1.0))
(t_2
(*
(-
(log
(/
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_1) 1.453152027) t_1) -1.421413741)
t_1)
-0.284496736)
t_1)
0.254829592)
t_1))
(* x x))
3.0))
(t_3
(/
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592)
(* (exp (* x x)) t_0))))
(/
(/
(- 1.0 (exp (* t_2 3.0)))
(+ 1.0 (+ (exp (* t_2 2.0)) (exp (+ 0.0 t_2)))))
(+ (* (+ t_3 1.0) t_3) 1.0))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = fma(0.3275911, fabs(x), 1.0);
double t_2 = (log((((((((((1.061405429 / t_1) - 1.453152027) / t_1) - -1.421413741) / t_1) + -0.284496736) / t_1) + 0.254829592) / t_1)) - (x * x)) * 3.0;
double t_3 = ((((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / (exp((x * x)) * t_0);
return ((1.0 - exp((t_2 * 3.0))) / (1.0 + (exp((t_2 * 2.0)) + exp((0.0 + t_2))))) / (((t_3 + 1.0) * t_3) + 1.0);
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = fma(0.3275911, abs(x), 1.0) t_2 = Float64(Float64(log(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) / t_1)) - Float64(x * x)) * 3.0) t_3 = 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(exp(Float64(x * x)) * t_0)) return Float64(Float64(Float64(1.0 - exp(Float64(t_2 * 3.0))) / Float64(1.0 + Float64(exp(Float64(t_2 * 2.0)) + exp(Float64(0.0 + t_2))))) / Float64(Float64(Float64(t_3 + 1.0) * t_3) + 1.0)) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[Log[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] / t$95$1), $MachinePrecision]], $MachinePrecision] - N[(x * x), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision]}, Block[{t$95$3 = 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[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(1.0 - N[Exp[N[(t$95$2 * 3.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[Exp[N[(t$95$2 * 2.0), $MachinePrecision]], $MachinePrecision] + N[Exp[N[(0.0 + t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(N[(t$95$3 + 1.0), $MachinePrecision] * t$95$3), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
t_2 := \left(\log \left(\frac{\frac{\frac{\frac{\frac{1.061405429}{t\_1} - 1.453152027}{t\_1} - -1.421413741}{t\_1} + -0.284496736}{t\_1} + 0.254829592}{t\_1}\right) - x \cdot x\right) \cdot 3\\
t_3 := \frac{\frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{e^{x \cdot x} \cdot t\_0}\\
\frac{\frac{1 - e^{t\_2 \cdot 3}}{1 + \left(e^{t\_2 \cdot 2} + e^{0 + t\_2}\right)}}{\left(t\_3 + 1\right) \cdot t\_3 + 1}
\end{array}
\end{array}
Initial program 79.1%
Applied rewrites79.1%
Applied rewrites79.2%
Applied rewrites79.2%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1 (fma 0.3275911 (fabs x) 1.0))
(t_2
(*
(-
(log
(/
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_1) 1.453152027) t_1) -1.421413741)
t_1)
-0.284496736)
t_1)
0.254829592)
t_1))
(* x x))
3.0))
(t_3
(/
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592)
(* t_0 (exp (* x x))))))
(/
(/
(- 1.0 (exp (* t_2 3.0)))
(+ 1.0 (+ (exp (* t_2 2.0)) (exp (+ 0.0 t_2)))))
(fma t_3 (+ t_3 1.0) 1.0))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = fma(0.3275911, fabs(x), 1.0);
double t_2 = (log((((((((((1.061405429 / t_1) - 1.453152027) / t_1) - -1.421413741) / t_1) + -0.284496736) / t_1) + 0.254829592) / t_1)) - (x * x)) * 3.0;
double t_3 = ((((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / (t_0 * exp((x * x)));
return ((1.0 - exp((t_2 * 3.0))) / (1.0 + (exp((t_2 * 2.0)) + exp((0.0 + t_2))))) / fma(t_3, (t_3 + 1.0), 1.0);
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = fma(0.3275911, abs(x), 1.0) t_2 = Float64(Float64(log(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) / t_1)) - Float64(x * x)) * 3.0) t_3 = 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)))) return Float64(Float64(Float64(1.0 - exp(Float64(t_2 * 3.0))) / Float64(1.0 + Float64(exp(Float64(t_2 * 2.0)) + exp(Float64(0.0 + t_2))))) / fma(t_3, Float64(t_3 + 1.0), 1.0)) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[Log[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] / t$95$1), $MachinePrecision]], $MachinePrecision] - N[(x * x), $MachinePrecision]), $MachinePrecision] * 3.0), $MachinePrecision]}, Block[{t$95$3 = 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]}, N[(N[(N[(1.0 - N[Exp[N[(t$95$2 * 3.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[Exp[N[(t$95$2 * 2.0), $MachinePrecision]], $MachinePrecision] + N[Exp[N[(0.0 + t$95$2), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(t$95$3 * N[(t$95$3 + 1.0), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
t_2 := \left(\log \left(\frac{\frac{\frac{\frac{\frac{1.061405429}{t\_1} - 1.453152027}{t\_1} - -1.421413741}{t\_1} + -0.284496736}{t\_1} + 0.254829592}{t\_1}\right) - x \cdot x\right) \cdot 3\\
t_3 := \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}}\\
\frac{\frac{1 - e^{t\_2 \cdot 3}}{1 + \left(e^{t\_2 \cdot 2} + e^{0 + t\_2}\right)}}{\mathsf{fma}\left(t\_3, t\_3 + 1, 1\right)}
\end{array}
\end{array}
Initial program 79.1%
Applied rewrites79.1%
Applied rewrites79.2%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.3275911 (fabs x) 1.0))
(t_1
(*
(-
(log
(/
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592)
t_0))
(* x x))
3.0))
(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)
(* t_2 (exp (* x x))))))
(/
(/ (- 1.0 (exp (* t_1 2.0))) (+ 1.0 (exp t_1)))
(fma t_3 (+ t_3 1.0) 1.0))))
double code(double x) {
double t_0 = fma(0.3275911, fabs(x), 1.0);
double t_1 = (log((((((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / t_0)) - (x * x)) * 3.0;
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) / (t_2 * exp((x * x)));
return ((1.0 - exp((t_1 * 2.0))) / (1.0 + exp(t_1))) / fma(t_3, (t_3 + 1.0), 1.0);
}
function code(x) t_0 = fma(0.3275911, abs(x), 1.0) t_1 = Float64(Float64(log(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(x * x)) * 3.0) t_2 = fma(abs(x), 0.3275911, 1.0) t_3 = Float64(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) / Float64(t_2 * exp(Float64(x * x)))) return Float64(Float64(Float64(1.0 - exp(Float64(t_1 * 2.0))) / Float64(1.0 + exp(t_1))) / fma(t_3, Float64(t_3 + 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[(N[Log[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] - N[(x * x), $MachinePrecision]), $MachinePrecision] * 3.0), $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[(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[(t$95$2 * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(1.0 - N[Exp[N[(t$95$1 * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[Exp[t$95$1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(t$95$3 * N[(t$95$3 + 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 := \left(\log \left(\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}\right) - x \cdot x\right) \cdot 3\\
t_2 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_3 := \frac{\frac{\frac{\frac{\frac{1.061405429}{t\_2} - 1.453152027}{t\_2} - -1.421413741}{t\_2} + -0.284496736}{t\_2} + 0.254829592}{t\_2 \cdot e^{x \cdot x}}\\
\frac{\frac{1 - e^{t\_1 \cdot 2}}{1 + e^{t\_1}}}{\mathsf{fma}\left(t\_3, t\_3 + 1, 1\right)}
\end{array}
\end{array}
Initial program 79.1%
Applied rewrites79.1%
Applied rewrites79.2%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1 (fma 0.3275911 (fabs x) 1.0))
(t_2
(/
(+
(/
(+
(-
(/ (/ (- (/ 1.061405429 t_1) 1.453152027) t_1) t_1)
(/ -1.421413741 t_1))
-0.284496736)
t_0)
0.254829592)
(* t_0 (exp (* x x))))))
(/ (- 1.0 (pow t_2 3.0)) (fma t_2 (+ t_2 1.0) 1.0))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = fma(0.3275911, fabs(x), 1.0);
double t_2 = ((((((((1.061405429 / t_1) - 1.453152027) / t_1) / t_1) - (-1.421413741 / t_1)) + -0.284496736) / t_0) + 0.254829592) / (t_0 * exp((x * x)));
return (1.0 - pow(t_2, 3.0)) / fma(t_2, (t_2 + 1.0), 1.0);
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = fma(0.3275911, abs(x), 1.0) t_2 = Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_1) - 1.453152027) / t_1) / t_1) - Float64(-1.421413741 / t_1)) + -0.284496736) / t_0) + 0.254829592) / Float64(t_0 * exp(Float64(x * x)))) return Float64(Float64(1.0 - (t_2 ^ 3.0)) / fma(t_2, Float64(t_2 + 1.0), 1.0)) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$1), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$1), $MachinePrecision] / t$95$1), $MachinePrecision] - N[(-1.421413741 / t$95$1), $MachinePrecision]), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision] / N[(t$95$0 * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(1.0 - N[Power[t$95$2, 3.0], $MachinePrecision]), $MachinePrecision] / N[(t$95$2 * N[(t$95$2 + 1.0), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
t_2 := \frac{\frac{\left(\frac{\frac{\frac{1.061405429}{t\_1} - 1.453152027}{t\_1}}{t\_1} - \frac{-1.421413741}{t\_1}\right) + -0.284496736}{t\_0} + 0.254829592}{t\_0 \cdot e^{x \cdot x}}\\
\frac{1 - {t\_2}^{3}}{\mathsf{fma}\left(t\_2, t\_2 + 1, 1\right)}
\end{array}
\end{array}
Initial program 79.1%
Applied rewrites79.1%
lift-/.f64N/A
lift--.f64N/A
div-subN/A
lower--.f64N/A
Applied rewrites79.1%
lift-/.f64N/A
lift--.f64N/A
div-subN/A
lower--.f64N/A
Applied rewrites79.1%
lift-/.f64N/A
lift--.f64N/A
div-subN/A
lower--.f64N/A
Applied rewrites79.1%
(FPCore (x)
:precision binary64
(let* ((t_0 (exp (* x x)))
(t_1 (fma 0.3275911 (fabs x) 1.0))
(t_2 (fma (fabs x) 0.3275911 1.0))
(t_3 (* t_0 t_2))
(t_4
(/
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_1) 1.453152027) t_1) -1.421413741)
t_1)
-0.284496736)
t_1)
0.254829592)
(* t_0 t_1))))
(/
(-
1.0
(pow
(+
(/
(/
(+
(/ (- (/ (- (/ 1.061405429 t_2) 1.453152027) t_2) -1.421413741) t_2)
-0.284496736)
t_2)
t_3)
(/ 0.254829592 t_3))
3.0))
(+ (* (+ t_4 1.0) t_4) 1.0))))
double code(double x) {
double t_0 = exp((x * x));
double t_1 = fma(0.3275911, fabs(x), 1.0);
double t_2 = fma(fabs(x), 0.3275911, 1.0);
double t_3 = t_0 * t_2;
double t_4 = ((((((((1.061405429 / t_1) - 1.453152027) / t_1) - -1.421413741) / t_1) + -0.284496736) / t_1) + 0.254829592) / (t_0 * t_1);
return (1.0 - pow((((((((((1.061405429 / t_2) - 1.453152027) / t_2) - -1.421413741) / t_2) + -0.284496736) / t_2) / t_3) + (0.254829592 / t_3)), 3.0)) / (((t_4 + 1.0) * t_4) + 1.0);
}
function code(x) t_0 = exp(Float64(x * x)) t_1 = fma(0.3275911, abs(x), 1.0) t_2 = fma(abs(x), 0.3275911, 1.0) t_3 = Float64(t_0 * t_2) t_4 = 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(t_0 * t_1)) return Float64(Float64(1.0 - (Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_2) - 1.453152027) / t_2) - -1.421413741) / t_2) + -0.284496736) / t_2) / t_3) + Float64(0.254829592 / t_3)) ^ 3.0)) / Float64(Float64(Float64(t_4 + 1.0) * t_4) + 1.0)) end
code[x_] := Block[{t$95$0 = N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$0 * t$95$2), $MachinePrecision]}, Block[{t$95$4 = 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[(t$95$0 * t$95$1), $MachinePrecision]), $MachinePrecision]}, N[(N[(1.0 - N[Power[N[(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] / t$95$3), $MachinePrecision] + N[(0.254829592 / t$95$3), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision] / N[(N[(N[(t$95$4 + 1.0), $MachinePrecision] * t$95$4), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := e^{x \cdot x}\\
t_1 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
t_2 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_3 := t\_0 \cdot t\_2\\
t_4 := \frac{\frac{\frac{\frac{\frac{1.061405429}{t\_1} - 1.453152027}{t\_1} - -1.421413741}{t\_1} + -0.284496736}{t\_1} + 0.254829592}{t\_0 \cdot t\_1}\\
\frac{1 - {\left(\frac{\frac{\frac{\frac{\frac{1.061405429}{t\_2} - 1.453152027}{t\_2} - -1.421413741}{t\_2} + -0.284496736}{t\_2}}{t\_3} + \frac{0.254829592}{t\_3}\right)}^{3}}{\left(t\_4 + 1\right) \cdot t\_4 + 1}
\end{array}
\end{array}
Initial program 79.1%
Applied rewrites79.1%
Applied rewrites79.1%
Applied rewrites79.1%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1 (* (exp (* x x)) t_0))
(t_2
(+
(/
(/
(+
(/
(- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741)
t_0)
-0.284496736)
t_0)
t_1)
(/ 0.254829592 t_1))))
(/ (- 1.0 (pow t_2 2.0)) (+ t_2 1.0))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = exp((x * x)) * t_0;
double t_2 = ((((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) / t_1) + (0.254829592 / t_1);
return (1.0 - pow(t_2, 2.0)) / (t_2 + 1.0);
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64(exp(Float64(x * x)) * t_0) t_2 = 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) / t_1) + Float64(0.254829592 / t_1)) return Float64(Float64(1.0 - (t_2 ^ 2.0)) / Float64(t_2 + 1.0)) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] * t$95$0), $MachinePrecision]}, Block[{t$95$2 = 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] / t$95$1), $MachinePrecision] + N[(0.254829592 / t$95$1), $MachinePrecision]), $MachinePrecision]}, N[(N[(1.0 - N[Power[t$95$2, 2.0], $MachinePrecision]), $MachinePrecision] / N[(t$95$2 + 1.0), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := e^{x \cdot x} \cdot t\_0\\
t_2 := \frac{\frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0}}{t\_1} + \frac{0.254829592}{t\_1}\\
\frac{1 - {t\_2}^{2}}{t\_2 + 1}
\end{array}
\end{array}
Initial program 79.1%
Applied rewrites79.1%
lift-/.f64N/A
lift-+.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
lift-exp.f64N/A
div-addN/A
Applied rewrites79.1%
lift-/.f64N/A
lift-+.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
lift-exp.f64N/A
div-addN/A
Applied rewrites79.1%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1
(/
(+
(/
(-
(/ (- (/ 1.061405429 t_0) 1.453152027) (* t_0 t_0))
(- (/ -1.421413741 t_0) -0.284496736))
t_0)
0.254829592)
(* t_0 (exp (* x x))))))
(/ (- 1.0 (pow t_1 2.0)) (+ t_1 1.0))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = ((((((1.061405429 / t_0) - 1.453152027) / (t_0 * t_0)) - ((-1.421413741 / t_0) - -0.284496736)) / t_0) + 0.254829592) / (t_0 * exp((x * x)));
return (1.0 - pow(t_1, 2.0)) / (t_1 + 1.0);
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / Float64(t_0 * t_0)) - Float64(Float64(-1.421413741 / t_0) - -0.284496736)) / t_0) + 0.254829592) / Float64(t_0 * exp(Float64(x * x)))) return Float64(Float64(1.0 - (t_1 ^ 2.0)) / Float64(t_1 + 1.0)) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] - 1.453152027), $MachinePrecision] / N[(t$95$0 * t$95$0), $MachinePrecision]), $MachinePrecision] - N[(N[(-1.421413741 / t$95$0), $MachinePrecision] - -0.284496736), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision] / N[(t$95$0 * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(1.0 - N[Power[t$95$1, 2.0], $MachinePrecision]), $MachinePrecision] / N[(t$95$1 + 1.0), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := \frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0 \cdot t\_0} - \left(\frac{-1.421413741}{t\_0} - -0.284496736\right)}{t\_0} + 0.254829592}{t\_0 \cdot e^{x \cdot x}}\\
\frac{1 - {t\_1}^{2}}{t\_1 + 1}
\end{array}
\end{array}
Initial program 79.1%
Applied rewrites79.1%
Applied rewrites79.1%
Applied rewrites79.1%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(-
1.0
(*
(-
(/ -0.254829592 (fma -0.3275911 (fabs x) -1.0))
(*
(/ -1.0 t_0)
(/
(+
(/ (- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741) t_0)
-0.284496736)
t_0)))
(exp (* (- x) x))))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
return 1.0 - (((-0.254829592 / fma(-0.3275911, fabs(x), -1.0)) - ((-1.0 / t_0) * (((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0))) * exp((-x * x)));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) return Float64(1.0 - Float64(Float64(Float64(-0.254829592 / fma(-0.3275911, abs(x), -1.0)) - Float64(Float64(-1.0 / t_0) * Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / 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[(-0.254829592 / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] - N[(N[(-1.0 / t$95$0), $MachinePrecision] * 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]), $MachinePrecision]), $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 - \left(\frac{-0.254829592}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)} - \frac{-1}{t\_0} \cdot \frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0}\right) \cdot e^{\left(-x\right) \cdot x}
\end{array}
\end{array}
Initial program 79.1%
Applied rewrites79.1%
Taylor expanded in x around 0
sqr-abs-revN/A
distribute-lft-neg-outN/A
lift-fabs.f64N/A
pow2N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-abs-revN/A
distribute-lft-neg-outN/A
lift-neg.f64N/A
lift-*.f64N/A
lift-exp.f6479.1
Applied rewrites79.1%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)) (t_1 (fma 0.3275911 (fabs x) 1.0)))
(-
1.0
(/
(+
(/
(+
(-
(/ (/ (- (/ 1.061405429 t_1) 1.453152027) t_1) t_1)
(/ -1.421413741 t_1))
-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);
double t_1 = fma(0.3275911, fabs(x), 1.0);
return 1.0 - (((((((((1.061405429 / t_1) - 1.453152027) / t_1) / t_1) - (-1.421413741 / t_1)) + -0.284496736) / t_0) + 0.254829592) / (t_0 * exp((x * x))));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = fma(0.3275911, abs(x), 1.0) return Float64(1.0 - Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_1) - 1.453152027) / t_1) / t_1) - Float64(-1.421413741 / t_1)) + -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]}, Block[{t$95$1 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 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] / t$95$1), $MachinePrecision] - N[(-1.421413741 / t$95$1), $MachinePrecision]), $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)\\
t_1 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
1 - \frac{\frac{\left(\frac{\frac{\frac{1.061405429}{t\_1} - 1.453152027}{t\_1}}{t\_1} - \frac{-1.421413741}{t\_1}\right) + -0.284496736}{t\_0} + 0.254829592}{t\_0 \cdot e^{x \cdot x}}
\end{array}
\end{array}
Initial program 79.1%
Applied rewrites79.1%
lift-/.f64N/A
lift--.f64N/A
div-subN/A
lower--.f64N/A
Applied rewrites79.1%
(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 79.1%
Applied rewrites79.1%
(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 79.1%
Applied rewrites79.1%
(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 79.1%
Applied rewrites79.1%
Taylor expanded in x around 0
+-commutativeN/A
pow2N/A
lower-fma.f6478.4
Applied rewrites78.4%
(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 79.1%
Applied rewrites79.1%
Taylor expanded in x around 0
+-commutativeN/A
pow2N/A
lower-fma.f6478.4
Applied rewrites78.4%
(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 (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) * (1.0 / 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) * Float64(1.0 / 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[(1.0 / N[(0.3275911 * N[Abs[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 - \left(\frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592\right) \cdot \frac{1}{\mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)}
\end{array}
\end{array}
Initial program 79.1%
Applied rewrites79.1%
Taylor expanded in x around 0
lower-/.f64N/A
+-commutativeN/A
lift-fabs.f64N/A
lower-fma.f6477.4
Applied rewrites77.4%
(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 79.1%
Applied rewrites79.1%
Taylor expanded in x around 0
+-commutativeN/A
lift-fabs.f64N/A
lower-fma.f6477.4
Applied rewrites77.4%
herbie shell --seed 2025117
(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)))))))