
(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}
Sampling outcomes in binary64 precision:
Herbie found 19 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 (pow (+ 1.0 (* 0.3275911 (fabs x))) -1.0))
(t_1
(*
(*
t_0
(+
0.254829592
(*
t_0
(+
-0.284496736
(*
t_0
(+
1.421413741
(*
t_0
(+
-1.453152027
(/
1.061405429
(/
(- (* 0.10731592879921 (* x x)) 1.0)
(- (* (fabs x) 0.3275911) 1.0)))))))))))
(exp (* (- x) x))))
(t_2 (+ 1.0 (+ (pow t_1 6.0) (pow t_1 3.0)))))
(/ (- (/ 1.0 t_2) (/ (pow t_1 9.0) t_2)) (+ 1.0 (fma t_1 t_1 t_1)))))
double code(double x) {
double t_0 = pow((1.0 + (0.3275911 * fabs(x))), -1.0);
double t_1 = (t_0 * (0.254829592 + (t_0 * (-0.284496736 + (t_0 * (1.421413741 + (t_0 * (-1.453152027 + (1.061405429 / (((0.10731592879921 * (x * x)) - 1.0) / ((fabs(x) * 0.3275911) - 1.0))))))))))) * exp((-x * x));
double t_2 = 1.0 + (pow(t_1, 6.0) + pow(t_1, 3.0));
return ((1.0 / t_2) - (pow(t_1, 9.0) / t_2)) / (1.0 + fma(t_1, t_1, t_1));
}
function code(x) t_0 = Float64(1.0 + Float64(0.3275911 * abs(x))) ^ -1.0 t_1 = 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(1.061405429 / Float64(Float64(Float64(0.10731592879921 * Float64(x * x)) - 1.0) / Float64(Float64(abs(x) * 0.3275911) - 1.0))))))))))) * exp(Float64(Float64(-x) * x))) t_2 = Float64(1.0 + Float64((t_1 ^ 6.0) + (t_1 ^ 3.0))) return Float64(Float64(Float64(1.0 / t_2) - Float64((t_1 ^ 9.0) / t_2)) / Float64(1.0 + fma(t_1, t_1, t_1))) end
code[x_] := Block[{t$95$0 = N[Power[N[(1.0 + N[(0.3275911 * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]}, Block[{t$95$1 = 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[(1.061405429 / N[(N[(N[(0.10731592879921 * N[(x * x), $MachinePrecision]), $MachinePrecision] - 1.0), $MachinePrecision] / N[(N[(N[Abs[x], $MachinePrecision] * 0.3275911), $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(1.0 + N[(N[Power[t$95$1, 6.0], $MachinePrecision] + N[Power[t$95$1, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(1.0 / t$95$2), $MachinePrecision] - N[(N[Power[t$95$1, 9.0], $MachinePrecision] / t$95$2), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(t$95$1 * t$95$1 + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(1 + 0.3275911 \cdot \left|x\right|\right)}^{-1}\\
t_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 + \frac{1.061405429}{\frac{0.10731592879921 \cdot \left(x \cdot x\right) - 1}{\left|x\right| \cdot 0.3275911 - 1}}\right)\right)\right)\right)\right) \cdot e^{\left(-x\right) \cdot x}\\
t_2 := 1 + \left({t\_1}^{6} + {t\_1}^{3}\right)\\
\frac{\frac{1}{t\_2} - \frac{{t\_1}^{9}}{t\_2}}{1 + \mathsf{fma}\left(t\_1, t\_1, t\_1\right)}
\end{array}
\end{array}
Initial program 76.8%
lift-+.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
+-commutativeN/A
flip-+N/A
lower-/.f64N/A
metadata-evalN/A
lower--.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
swap-sqrN/A
lift-*.f64N/A
lower-*.f64N/A
metadata-evalN/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
lower-*.f64N/A
lower--.f64N/A
Applied rewrites76.9%
Applied rewrites77.0%
Applied rewrites77.1%
Applied rewrites78.3%
Final simplification78.3%
(FPCore (x)
:precision binary64
(let* ((t_0 (exp (* (- x) x)))
(t_1 (* 0.3275911 (fabs x)))
(t_2 (pow (+ 1.0 t_1) -1.0))
(t_3
(+
1.421413741
(*
t_2
(+
-1.453152027
(/
1.061405429
(/
(- (* 0.10731592879921 (* x x)) 1.0)
(- (* (fabs x) 0.3275911) 1.0)))))))
(t_4
(* (* t_2 (+ 0.254829592 (* t_2 (+ -0.284496736 (* t_2 t_3))))) t_0))
(t_5 (pow t_4 3.0)))
(/
(/ (- 1.0 (pow t_5 3.0)) (+ 1.0 (fma t_5 t_5 t_5)))
(+
1.0
(fma
t_4
t_4
(*
(*
t_2
(+
0.254829592
(* t_2 (+ -0.284496736 (* (exp (* (log1p t_1) -1.0)) t_3)))))
t_0))))))
double code(double x) {
double t_0 = exp((-x * x));
double t_1 = 0.3275911 * fabs(x);
double t_2 = pow((1.0 + t_1), -1.0);
double t_3 = 1.421413741 + (t_2 * (-1.453152027 + (1.061405429 / (((0.10731592879921 * (x * x)) - 1.0) / ((fabs(x) * 0.3275911) - 1.0)))));
double t_4 = (t_2 * (0.254829592 + (t_2 * (-0.284496736 + (t_2 * t_3))))) * t_0;
double t_5 = pow(t_4, 3.0);
return ((1.0 - pow(t_5, 3.0)) / (1.0 + fma(t_5, t_5, t_5))) / (1.0 + fma(t_4, t_4, ((t_2 * (0.254829592 + (t_2 * (-0.284496736 + (exp((log1p(t_1) * -1.0)) * t_3))))) * t_0)));
}
function code(x) t_0 = exp(Float64(Float64(-x) * x)) t_1 = Float64(0.3275911 * abs(x)) t_2 = Float64(1.0 + t_1) ^ -1.0 t_3 = Float64(1.421413741 + Float64(t_2 * Float64(-1.453152027 + Float64(1.061405429 / Float64(Float64(Float64(0.10731592879921 * Float64(x * x)) - 1.0) / Float64(Float64(abs(x) * 0.3275911) - 1.0)))))) t_4 = Float64(Float64(t_2 * Float64(0.254829592 + Float64(t_2 * Float64(-0.284496736 + Float64(t_2 * t_3))))) * t_0) t_5 = t_4 ^ 3.0 return Float64(Float64(Float64(1.0 - (t_5 ^ 3.0)) / Float64(1.0 + fma(t_5, t_5, t_5))) / Float64(1.0 + fma(t_4, t_4, Float64(Float64(t_2 * Float64(0.254829592 + Float64(t_2 * Float64(-0.284496736 + Float64(exp(Float64(log1p(t_1) * -1.0)) * t_3))))) * t_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]), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[(1.0 + t$95$1), $MachinePrecision], -1.0], $MachinePrecision]}, Block[{t$95$3 = N[(1.421413741 + N[(t$95$2 * N[(-1.453152027 + N[(1.061405429 / N[(N[(N[(0.10731592879921 * N[(x * x), $MachinePrecision]), $MachinePrecision] - 1.0), $MachinePrecision] / N[(N[(N[Abs[x], $MachinePrecision] * 0.3275911), $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$2 * N[(0.254829592 + N[(t$95$2 * N[(-0.284496736 + N[(t$95$2 * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]}, Block[{t$95$5 = N[Power[t$95$4, 3.0], $MachinePrecision]}, N[(N[(N[(1.0 - N[Power[t$95$5, 3.0], $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(t$95$5 * t$95$5 + t$95$5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(t$95$4 * t$95$4 + N[(N[(t$95$2 * N[(0.254829592 + N[(t$95$2 * N[(-0.284496736 + N[(N[Exp[N[(N[Log[1 + t$95$1], $MachinePrecision] * -1.0), $MachinePrecision]], $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := e^{\left(-x\right) \cdot x}\\
t_1 := 0.3275911 \cdot \left|x\right|\\
t_2 := {\left(1 + t\_1\right)}^{-1}\\
t_3 := 1.421413741 + t\_2 \cdot \left(-1.453152027 + \frac{1.061405429}{\frac{0.10731592879921 \cdot \left(x \cdot x\right) - 1}{\left|x\right| \cdot 0.3275911 - 1}}\right)\\
t_4 := \left(t\_2 \cdot \left(0.254829592 + t\_2 \cdot \left(-0.284496736 + t\_2 \cdot t\_3\right)\right)\right) \cdot t\_0\\
t_5 := {t\_4}^{3}\\
\frac{\frac{1 - {t\_5}^{3}}{1 + \mathsf{fma}\left(t\_5, t\_5, t\_5\right)}}{1 + \mathsf{fma}\left(t\_4, t\_4, \left(t\_2 \cdot \left(0.254829592 + t\_2 \cdot \left(-0.284496736 + e^{\mathsf{log1p}\left(t\_1\right) \cdot -1} \cdot t\_3\right)\right)\right) \cdot t\_0\right)}
\end{array}
\end{array}
Initial program 76.8%
lift-+.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
+-commutativeN/A
flip-+N/A
lower-/.f64N/A
metadata-evalN/A
lower--.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
swap-sqrN/A
lift-*.f64N/A
lower-*.f64N/A
metadata-evalN/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
lower-*.f64N/A
lower--.f64N/A
Applied rewrites76.9%
Applied rewrites77.0%
Applied rewrites77.1%
lift-pow.f64N/A
lift-+.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
pow-to-expN/A
lower-exp.f64N/A
lower-*.f64N/A
lower-log1p.f64N/A
lift-fabs.f64N/A
lift-*.f6477.1
Applied rewrites77.1%
Final simplification77.1%
(FPCore (x)
:precision binary64
(let* ((t_0 (pow (+ 1.0 (* 0.3275911 (fabs x))) -1.0))
(t_1
(*
(*
t_0
(+
0.254829592
(*
t_0
(+
-0.284496736
(*
t_0
(+
1.421413741
(*
t_0
(+
-1.453152027
(/
1.061405429
(/
(- (* 0.10731592879921 (* x x)) 1.0)
(- (* (fabs x) 0.3275911) 1.0)))))))))))
(exp (* (- x) x))))
(t_2 (pow t_1 3.0)))
(/
(/ (- 1.0 (pow t_2 3.0)) (+ 1.0 (fma t_2 t_2 t_2)))
(+ 1.0 (fma t_1 t_1 t_1)))))
double code(double x) {
double t_0 = pow((1.0 + (0.3275911 * fabs(x))), -1.0);
double t_1 = (t_0 * (0.254829592 + (t_0 * (-0.284496736 + (t_0 * (1.421413741 + (t_0 * (-1.453152027 + (1.061405429 / (((0.10731592879921 * (x * x)) - 1.0) / ((fabs(x) * 0.3275911) - 1.0))))))))))) * exp((-x * x));
double t_2 = pow(t_1, 3.0);
return ((1.0 - pow(t_2, 3.0)) / (1.0 + fma(t_2, t_2, t_2))) / (1.0 + fma(t_1, t_1, t_1));
}
function code(x) t_0 = Float64(1.0 + Float64(0.3275911 * abs(x))) ^ -1.0 t_1 = 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(1.061405429 / Float64(Float64(Float64(0.10731592879921 * Float64(x * x)) - 1.0) / Float64(Float64(abs(x) * 0.3275911) - 1.0))))))))))) * exp(Float64(Float64(-x) * x))) t_2 = t_1 ^ 3.0 return Float64(Float64(Float64(1.0 - (t_2 ^ 3.0)) / Float64(1.0 + fma(t_2, t_2, t_2))) / Float64(1.0 + fma(t_1, t_1, t_1))) end
code[x_] := Block[{t$95$0 = N[Power[N[(1.0 + N[(0.3275911 * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]}, Block[{t$95$1 = 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[(1.061405429 / N[(N[(N[(0.10731592879921 * N[(x * x), $MachinePrecision]), $MachinePrecision] - 1.0), $MachinePrecision] / N[(N[(N[Abs[x], $MachinePrecision] * 0.3275911), $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Power[t$95$1, 3.0], $MachinePrecision]}, N[(N[(N[(1.0 - N[Power[t$95$2, 3.0], $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(t$95$2 * t$95$2 + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(t$95$1 * t$95$1 + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(1 + 0.3275911 \cdot \left|x\right|\right)}^{-1}\\
t_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 + \frac{1.061405429}{\frac{0.10731592879921 \cdot \left(x \cdot x\right) - 1}{\left|x\right| \cdot 0.3275911 - 1}}\right)\right)\right)\right)\right) \cdot e^{\left(-x\right) \cdot x}\\
t_2 := {t\_1}^{3}\\
\frac{\frac{1 - {t\_2}^{3}}{1 + \mathsf{fma}\left(t\_2, t\_2, t\_2\right)}}{1 + \mathsf{fma}\left(t\_1, t\_1, t\_1\right)}
\end{array}
\end{array}
Initial program 76.8%
lift-+.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
+-commutativeN/A
flip-+N/A
lower-/.f64N/A
metadata-evalN/A
lower--.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
swap-sqrN/A
lift-*.f64N/A
lower-*.f64N/A
metadata-evalN/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
lower-*.f64N/A
lower--.f64N/A
Applied rewrites76.9%
Applied rewrites77.0%
Applied rewrites77.1%
Final simplification77.1%
(FPCore (x)
:precision binary64
(let* ((t_0 (pow (+ 1.0 (* 0.3275911 (fabs x))) -1.0))
(t_1
(*
(*
t_0
(+
0.254829592
(*
t_0
(+
-0.284496736
(*
t_0
(+
1.421413741
(*
t_0
(+
-1.453152027
(/
1.061405429
(/
(- (* 0.10731592879921 (* x x)) 1.0)
(- (* (fabs x) 0.3275911) 1.0)))))))))))
(exp (* (- x) x)))))
(/
(/ (- 1.0 (pow t_1 9.0)) (+ 1.0 (+ (pow t_1 6.0) (pow t_1 3.0))))
(+ 1.0 (+ (pow t_1 2.0) t_1)))))
double code(double x) {
double t_0 = pow((1.0 + (0.3275911 * fabs(x))), -1.0);
double t_1 = (t_0 * (0.254829592 + (t_0 * (-0.284496736 + (t_0 * (1.421413741 + (t_0 * (-1.453152027 + (1.061405429 / (((0.10731592879921 * (x * x)) - 1.0) / ((fabs(x) * 0.3275911) - 1.0))))))))))) * exp((-x * x));
return ((1.0 - pow(t_1, 9.0)) / (1.0 + (pow(t_1, 6.0) + pow(t_1, 3.0)))) / (1.0 + (pow(t_1, 2.0) + t_1));
}
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
real(8) :: t_1
t_0 = (1.0d0 + (0.3275911d0 * abs(x))) ** (-1.0d0)
t_1 = (t_0 * (0.254829592d0 + (t_0 * ((-0.284496736d0) + (t_0 * (1.421413741d0 + (t_0 * ((-1.453152027d0) + (1.061405429d0 / (((0.10731592879921d0 * (x * x)) - 1.0d0) / ((abs(x) * 0.3275911d0) - 1.0d0))))))))))) * exp((-x * x))
code = ((1.0d0 - (t_1 ** 9.0d0)) / (1.0d0 + ((t_1 ** 6.0d0) + (t_1 ** 3.0d0)))) / (1.0d0 + ((t_1 ** 2.0d0) + t_1))
end function
public static double code(double x) {
double t_0 = Math.pow((1.0 + (0.3275911 * Math.abs(x))), -1.0);
double t_1 = (t_0 * (0.254829592 + (t_0 * (-0.284496736 + (t_0 * (1.421413741 + (t_0 * (-1.453152027 + (1.061405429 / (((0.10731592879921 * (x * x)) - 1.0) / ((Math.abs(x) * 0.3275911) - 1.0))))))))))) * Math.exp((-x * x));
return ((1.0 - Math.pow(t_1, 9.0)) / (1.0 + (Math.pow(t_1, 6.0) + Math.pow(t_1, 3.0)))) / (1.0 + (Math.pow(t_1, 2.0) + t_1));
}
def code(x): t_0 = math.pow((1.0 + (0.3275911 * math.fabs(x))), -1.0) t_1 = (t_0 * (0.254829592 + (t_0 * (-0.284496736 + (t_0 * (1.421413741 + (t_0 * (-1.453152027 + (1.061405429 / (((0.10731592879921 * (x * x)) - 1.0) / ((math.fabs(x) * 0.3275911) - 1.0))))))))))) * math.exp((-x * x)) return ((1.0 - math.pow(t_1, 9.0)) / (1.0 + (math.pow(t_1, 6.0) + math.pow(t_1, 3.0)))) / (1.0 + (math.pow(t_1, 2.0) + t_1))
function code(x) t_0 = Float64(1.0 + Float64(0.3275911 * abs(x))) ^ -1.0 t_1 = 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(1.061405429 / Float64(Float64(Float64(0.10731592879921 * Float64(x * x)) - 1.0) / Float64(Float64(abs(x) * 0.3275911) - 1.0))))))))))) * exp(Float64(Float64(-x) * x))) return Float64(Float64(Float64(1.0 - (t_1 ^ 9.0)) / Float64(1.0 + Float64((t_1 ^ 6.0) + (t_1 ^ 3.0)))) / Float64(1.0 + Float64((t_1 ^ 2.0) + t_1))) end
function tmp = code(x) t_0 = (1.0 + (0.3275911 * abs(x))) ^ -1.0; t_1 = (t_0 * (0.254829592 + (t_0 * (-0.284496736 + (t_0 * (1.421413741 + (t_0 * (-1.453152027 + (1.061405429 / (((0.10731592879921 * (x * x)) - 1.0) / ((abs(x) * 0.3275911) - 1.0))))))))))) * exp((-x * x)); tmp = ((1.0 - (t_1 ^ 9.0)) / (1.0 + ((t_1 ^ 6.0) + (t_1 ^ 3.0)))) / (1.0 + ((t_1 ^ 2.0) + t_1)); end
code[x_] := Block[{t$95$0 = N[Power[N[(1.0 + N[(0.3275911 * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]}, Block[{t$95$1 = 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[(1.061405429 / N[(N[(N[(0.10731592879921 * N[(x * x), $MachinePrecision]), $MachinePrecision] - 1.0), $MachinePrecision] / N[(N[(N[Abs[x], $MachinePrecision] * 0.3275911), $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(1.0 - N[Power[t$95$1, 9.0], $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[Power[t$95$1, 6.0], $MachinePrecision] + N[Power[t$95$1, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[Power[t$95$1, 2.0], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(1 + 0.3275911 \cdot \left|x\right|\right)}^{-1}\\
t_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 + \frac{1.061405429}{\frac{0.10731592879921 \cdot \left(x \cdot x\right) - 1}{\left|x\right| \cdot 0.3275911 - 1}}\right)\right)\right)\right)\right) \cdot e^{\left(-x\right) \cdot x}\\
\frac{\frac{1 - {t\_1}^{9}}{1 + \left({t\_1}^{6} + {t\_1}^{3}\right)}}{1 + \left({t\_1}^{2} + t\_1\right)}
\end{array}
\end{array}
Initial program 76.8%
lift-+.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
+-commutativeN/A
flip-+N/A
lower-/.f64N/A
metadata-evalN/A
lower--.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
swap-sqrN/A
lift-*.f64N/A
lower-*.f64N/A
metadata-evalN/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
lower-*.f64N/A
lower--.f64N/A
Applied rewrites76.9%
Applied rewrites77.0%
Applied rewrites77.1%
Applied rewrites77.1%
Final simplification77.1%
(FPCore (x)
:precision binary64
(let* ((t_0 (exp (* (- x) x)))
(t_1 (pow (+ 1.0 (* 0.3275911 (fabs x))) -1.0))
(t_2 (fma (fabs x) 0.3275911 1.0))
(t_3 (- 1.0 (* 0.10731592879921 (* x x))))
(t_4 (- 1.0 (* (fabs x) 0.3275911)))
(t_5
(*
(*
t_1
(+
0.254829592
(*
t_1
(fma
(/
(- (/ (- (/ 1.061405429 t_2) 1.453152027) t_2) -1.421413741)
t_3)
t_4
-0.284496736))))
t_0)))
(/
(-
1.0
(*
t_5
(*
(*
t_1
(+
0.254829592
(*
t_1
(fma
(/ (- (/ (- (* 1.061405429 t_1) 1.453152027) t_2) -1.421413741) t_3)
t_4
-0.284496736))))
t_0)))
(+ 1.0 t_5))))
double code(double x) {
double t_0 = exp((-x * x));
double t_1 = pow((1.0 + (0.3275911 * fabs(x))), -1.0);
double t_2 = fma(fabs(x), 0.3275911, 1.0);
double t_3 = 1.0 - (0.10731592879921 * (x * x));
double t_4 = 1.0 - (fabs(x) * 0.3275911);
double t_5 = (t_1 * (0.254829592 + (t_1 * fma((((((1.061405429 / t_2) - 1.453152027) / t_2) - -1.421413741) / t_3), t_4, -0.284496736)))) * t_0;
return (1.0 - (t_5 * ((t_1 * (0.254829592 + (t_1 * fma((((((1.061405429 * t_1) - 1.453152027) / t_2) - -1.421413741) / t_3), t_4, -0.284496736)))) * t_0))) / (1.0 + t_5);
}
function code(x) t_0 = exp(Float64(Float64(-x) * x)) t_1 = Float64(1.0 + Float64(0.3275911 * abs(x))) ^ -1.0 t_2 = fma(abs(x), 0.3275911, 1.0) t_3 = Float64(1.0 - Float64(0.10731592879921 * Float64(x * x))) t_4 = Float64(1.0 - Float64(abs(x) * 0.3275911)) t_5 = Float64(Float64(t_1 * Float64(0.254829592 + Float64(t_1 * fma(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_2) - 1.453152027) / t_2) - -1.421413741) / t_3), t_4, -0.284496736)))) * t_0) return Float64(Float64(1.0 - Float64(t_5 * Float64(Float64(t_1 * Float64(0.254829592 + Float64(t_1 * fma(Float64(Float64(Float64(Float64(Float64(1.061405429 * t_1) - 1.453152027) / t_2) - -1.421413741) / t_3), t_4, -0.284496736)))) * t_0))) / Float64(1.0 + t_5)) end
code[x_] := Block[{t$95$0 = N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[(1.0 + N[(0.3275911 * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$3 = N[(1.0 - N[(0.10731592879921 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(1.0 - N[(N[Abs[x], $MachinePrecision] * 0.3275911), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$1 * N[(0.254829592 + N[(t$95$1 * N[(N[(N[(N[(N[(N[(1.061405429 / t$95$2), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$2), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$3), $MachinePrecision] * t$95$4 + -0.284496736), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]}, N[(N[(1.0 - N[(t$95$5 * N[(N[(t$95$1 * N[(0.254829592 + N[(t$95$1 * N[(N[(N[(N[(N[(N[(1.061405429 * t$95$1), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$2), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$3), $MachinePrecision] * t$95$4 + -0.284496736), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + t$95$5), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := e^{\left(-x\right) \cdot x}\\
t_1 := {\left(1 + 0.3275911 \cdot \left|x\right|\right)}^{-1}\\
t_2 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_3 := 1 - 0.10731592879921 \cdot \left(x \cdot x\right)\\
t_4 := 1 - \left|x\right| \cdot 0.3275911\\
t_5 := \left(t\_1 \cdot \left(0.254829592 + t\_1 \cdot \mathsf{fma}\left(\frac{\frac{\frac{1.061405429}{t\_2} - 1.453152027}{t\_2} - -1.421413741}{t\_3}, t\_4, -0.284496736\right)\right)\right) \cdot t\_0\\
\frac{1 - t\_5 \cdot \left(\left(t\_1 \cdot \left(0.254829592 + t\_1 \cdot \mathsf{fma}\left(\frac{\frac{1.061405429 \cdot t\_1 - 1.453152027}{t\_2} - -1.421413741}{t\_3}, t\_4, -0.284496736\right)\right)\right) \cdot t\_0\right)}{1 + t\_5}
\end{array}
\end{array}
Initial program 76.8%
Applied rewrites76.9%
Applied rewrites76.9%
Taylor expanded in x around 0
Applied rewrites77.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (pow (+ 1.0 (* 0.3275911 (fabs x))) -1.0))
(t_1 (fma (fabs x) 0.3275911 1.0))
(t_2
(*
(*
t_0
(+
0.254829592
(*
t_0
(fma
(/
(- (/ (- (/ 1.061405429 t_1) 1.453152027) t_1) -1.421413741)
(- 1.0 (* 0.10731592879921 (* x x))))
(- 1.0 (* (fabs x) 0.3275911))
-0.284496736))))
(exp (* (- x) x)))))
(/ (- 1.0 (pow t_2 2.0)) (+ 1.0 t_2))))
double code(double x) {
double t_0 = pow((1.0 + (0.3275911 * fabs(x))), -1.0);
double t_1 = fma(fabs(x), 0.3275911, 1.0);
double t_2 = (t_0 * (0.254829592 + (t_0 * fma((((((1.061405429 / t_1) - 1.453152027) / t_1) - -1.421413741) / (1.0 - (0.10731592879921 * (x * x)))), (1.0 - (fabs(x) * 0.3275911)), -0.284496736)))) * exp((-x * x));
return (1.0 - pow(t_2, 2.0)) / (1.0 + t_2);
}
function code(x) t_0 = Float64(1.0 + Float64(0.3275911 * abs(x))) ^ -1.0 t_1 = fma(abs(x), 0.3275911, 1.0) t_2 = Float64(Float64(t_0 * Float64(0.254829592 + Float64(t_0 * fma(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_1) - 1.453152027) / t_1) - -1.421413741) / Float64(1.0 - Float64(0.10731592879921 * Float64(x * x)))), Float64(1.0 - Float64(abs(x) * 0.3275911)), -0.284496736)))) * exp(Float64(Float64(-x) * x))) return Float64(Float64(1.0 - (t_2 ^ 2.0)) / Float64(1.0 + t_2)) end
code[x_] := Block[{t$95$0 = N[Power[N[(1.0 + N[(0.3275911 * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]}, Block[{t$95$1 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(t$95$0 * N[(0.254829592 + N[(t$95$0 * N[(N[(N[(N[(N[(N[(1.061405429 / t$95$1), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$1), $MachinePrecision] - -1.421413741), $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] + -0.284496736), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, N[(N[(1.0 - N[Power[t$95$2, 2.0], $MachinePrecision]), $MachinePrecision] / N[(1.0 + t$95$2), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(1 + 0.3275911 \cdot \left|x\right|\right)}^{-1}\\
t_1 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_2 := \left(t\_0 \cdot \left(0.254829592 + t\_0 \cdot \mathsf{fma}\left(\frac{\frac{\frac{1.061405429}{t\_1} - 1.453152027}{t\_1} - -1.421413741}{1 - 0.10731592879921 \cdot \left(x \cdot x\right)}, 1 - \left|x\right| \cdot 0.3275911, -0.284496736\right)\right)\right) \cdot e^{\left(-x\right) \cdot x}\\
\frac{1 - {t\_2}^{2}}{1 + t\_2}
\end{array}
\end{array}
Initial program 76.8%
Applied rewrites76.9%
Applied rewrites76.9%
Applied rewrites76.9%
(FPCore (x)
:precision binary64
(let* ((t_0 (* (fabs x) 0.3275911))
(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
(pow
(/ t_2 (* (/ (- (pow t_0 2.0) 1.0) (- t_0 1.0)) (pow (exp x) x)))
2.0))
(fma (/ t_2 t_1) (exp (* (- x) x)) 1.0))))
double code(double x) {
double t_0 = fabs(x) * 0.3275911;
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 - pow((t_2 / (((pow(t_0, 2.0) - 1.0) / (t_0 - 1.0)) * pow(exp(x), x))), 2.0)) / fma((t_2 / t_1), exp((-x * x)), 1.0);
}
function code(x) t_0 = Float64(abs(x) * 0.3275911) 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 - (Float64(t_2 / Float64(Float64(Float64((t_0 ^ 2.0) - 1.0) / Float64(t_0 - 1.0)) * (exp(x) ^ x))) ^ 2.0)) / fma(Float64(t_2 / t_1), exp(Float64(Float64(-x) * x)), 1.0)) 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]}, 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[Power[N[(t$95$2 / N[(N[(N[(N[Power[t$95$0, 2.0], $MachinePrecision] - 1.0), $MachinePrecision] / N[(t$95$0 - 1.0), $MachinePrecision]), $MachinePrecision] * N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$2 / t$95$1), $MachinePrecision] * N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision] + 1.0), $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)\\
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 - {\left(\frac{t\_2}{\frac{{t\_0}^{2} - 1}{t\_0 - 1} \cdot {\left(e^{x}\right)}^{x}}\right)}^{2}}{\mathsf{fma}\left(\frac{t\_2}{t\_1}, e^{\left(-x\right) \cdot x}, 1\right)}
\end{array}
\end{array}
Initial program 76.8%
Applied rewrites76.9%
lift-fabs.f64N/A
lift-fma.f64N/A
flip-+N/A
lift-fabs.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-*.f64N/A
lift-*.f64N/A
metadata-evalN/A
lift--.f64N/A
lift-fabs.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-/.f6476.9
Applied rewrites76.9%
(FPCore (x)
:precision binary64
(let* ((t_0 (* (fabs x) 0.3275911)) (t_1 (fma (fabs x) 0.3275911 1.0)))
(/
(-
1.0
(pow
(/
(+
(/
(+
(/
(-
(/
(-
(/ 1.061405429 (/ (- (pow t_0 2.0) 1.0) (- t_0 1.0)))
1.453152027)
t_1)
-1.421413741)
t_1)
-0.284496736)
t_1)
0.254829592)
(* t_1 (pow (exp x) x)))
2.0))
(fma
(/
(+
(/
(+
(/ (- (/ (- (/ 1.061405429 t_1) 1.453152027) t_1) -1.421413741) t_1)
-0.284496736)
t_1)
0.254829592)
t_1)
(exp (* (- x) x))
1.0))))
double code(double x) {
double t_0 = fabs(x) * 0.3275911;
double t_1 = fma(fabs(x), 0.3275911, 1.0);
return (1.0 - pow((((((((((1.061405429 / ((pow(t_0, 2.0) - 1.0) / (t_0 - 1.0))) - 1.453152027) / t_1) - -1.421413741) / t_1) + -0.284496736) / t_1) + 0.254829592) / (t_1 * pow(exp(x), x))), 2.0)) / fma((((((((((1.061405429 / t_1) - 1.453152027) / t_1) - -1.421413741) / t_1) + -0.284496736) / t_1) + 0.254829592) / t_1), exp((-x * x)), 1.0);
}
function code(x) t_0 = Float64(abs(x) * 0.3275911) t_1 = fma(abs(x), 0.3275911, 1.0) return Float64(Float64(1.0 - (Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / Float64(Float64((t_0 ^ 2.0) - 1.0) / Float64(t_0 - 1.0))) - 1.453152027) / t_1) - -1.421413741) / t_1) + -0.284496736) / t_1) + 0.254829592) / Float64(t_1 * (exp(x) ^ x))) ^ 2.0)) / fma(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), exp(Float64(Float64(-x) * x)), 1.0)) 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[(N[(1.0 - N[Power[N[(N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / N[(N[(N[Power[t$95$0, 2.0], $MachinePrecision] - 1.0), $MachinePrecision] / N[(t$95$0 - 1.0), $MachinePrecision]), $MachinePrecision]), $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$1 * N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / 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] / t$95$1), $MachinePrecision] * N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision] + 1.0), $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)\\
\frac{1 - {\left(\frac{\frac{\frac{\frac{\frac{1.061405429}{\frac{{t\_0}^{2} - 1}{t\_0 - 1}} - 1.453152027}{t\_1} - -1.421413741}{t\_1} + -0.284496736}{t\_1} + 0.254829592}{t\_1 \cdot {\left(e^{x}\right)}^{x}}\right)}^{2}}{\mathsf{fma}\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}, e^{\left(-x\right) \cdot x}, 1\right)}
\end{array}
\end{array}
Initial program 76.8%
Applied rewrites76.9%
lift-fabs.f64N/A
lift-fma.f64N/A
flip-+N/A
lift-fabs.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-*.f64N/A
lift-*.f64N/A
metadata-evalN/A
lift--.f64N/A
lift-fabs.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-/.f6476.9
Applied rewrites76.9%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)) (t_1 (/ 1.061405429 t_0)))
(/
(-
1.0
(pow
(/
(+
(/
(+
(/ (- (- (/ t_1 t_0) (/ 1.453152027 t_0)) -1.421413741) t_0)
-0.284496736)
t_0)
0.254829592)
(* t_0 (pow (exp x) x)))
2.0))
(fma
(/
(+
(/
(+ (/ (- (/ (- t_1 1.453152027) t_0) -1.421413741) t_0) -0.284496736)
t_0)
0.254829592)
t_0)
(exp (* (- x) x))
1.0))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = 1.061405429 / t_0;
return (1.0 - pow(((((((((t_1 / t_0) - (1.453152027 / t_0)) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / (t_0 * pow(exp(x), x))), 2.0)) / fma(((((((((t_1 - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / t_0), exp((-x * x)), 1.0);
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64(1.061405429 / t_0) return Float64(Float64(1.0 - (Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(t_1 / t_0) - Float64(1.453152027 / t_0)) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / Float64(t_0 * (exp(x) ^ x))) ^ 2.0)) / fma(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(t_1 - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / t_0), exp(Float64(Float64(-x) * x)), 1.0)) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(1.061405429 / t$95$0), $MachinePrecision]}, N[(N[(1.0 - N[Power[N[(N[(N[(N[(N[(N[(N[(N[(t$95$1 / t$95$0), $MachinePrecision] - N[(1.453152027 / t$95$0), $MachinePrecision]), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision] / N[(t$95$0 * N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[(N[(N[(N[(N[(N[(N[(N[(N[(t$95$1 - 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] + 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{1.061405429}{t\_0}\\
\frac{1 - {\left(\frac{\frac{\frac{\left(\frac{t\_1}{t\_0} - \frac{1.453152027}{t\_0}\right) - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{t\_0 \cdot {\left(e^{x}\right)}^{x}}\right)}^{2}}{\mathsf{fma}\left(\frac{\frac{\frac{\frac{t\_1 - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{t\_0}, e^{\left(-x\right) \cdot x}, 1\right)}
\end{array}
\end{array}
Initial program 76.8%
Applied rewrites76.9%
lift-/.f64N/A
lift--.f64N/A
div-subN/A
lower--.f64N/A
lower-/.f64N/A
lower-/.f6476.9
Applied rewrites76.9%
(FPCore (x)
:precision binary64
(let* ((t_0 (+ 1.0 (* 0.3275911 (fabs x))))
(t_1 (fma (fabs x) 0.3275911 1.0)))
(+
1.0
(*
(*
(/ -1.0 t_0)
(+
0.254829592
(*
(/ 1.0 t_0)
(fma
(/
(- (/ (- (/ 1.061405429 t_1) 1.453152027) t_1) -1.421413741)
(- 1.0 (* 0.10731592879921 (* x x))))
(- 1.0 (* (fabs x) 0.3275911))
-0.284496736))))
(exp (* (- x) x))))))
double code(double x) {
double t_0 = 1.0 + (0.3275911 * fabs(x));
double t_1 = fma(fabs(x), 0.3275911, 1.0);
return 1.0 + (((-1.0 / t_0) * (0.254829592 + ((1.0 / t_0) * fma((((((1.061405429 / t_1) - 1.453152027) / t_1) - -1.421413741) / (1.0 - (0.10731592879921 * (x * x)))), (1.0 - (fabs(x) * 0.3275911)), -0.284496736)))) * exp((-x * x)));
}
function code(x) t_0 = Float64(1.0 + Float64(0.3275911 * abs(x))) t_1 = fma(abs(x), 0.3275911, 1.0) return Float64(1.0 + Float64(Float64(Float64(-1.0 / t_0) * Float64(0.254829592 + Float64(Float64(1.0 / t_0) * fma(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_1) - 1.453152027) / t_1) - -1.421413741) / Float64(1.0 - Float64(0.10731592879921 * Float64(x * x)))), Float64(1.0 - Float64(abs(x) * 0.3275911)), -0.284496736)))) * exp(Float64(Float64(-x) * x)))) end
code[x_] := Block[{t$95$0 = N[(1.0 + N[(0.3275911 * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, N[(1.0 + N[(N[(N[(-1.0 / t$95$0), $MachinePrecision] * N[(0.254829592 + N[(N[(1.0 / t$95$0), $MachinePrecision] * N[(N[(N[(N[(N[(N[(1.061405429 / t$95$1), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$1), $MachinePrecision] - -1.421413741), $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] + -0.284496736), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 1 + 0.3275911 \cdot \left|x\right|\\
t_1 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
1 + \left(\frac{-1}{t\_0} \cdot \left(0.254829592 + \frac{1}{t\_0} \cdot \mathsf{fma}\left(\frac{\frac{\frac{1.061405429}{t\_1} - 1.453152027}{t\_1} - -1.421413741}{1 - 0.10731592879921 \cdot \left(x \cdot x\right)}, 1 - \left|x\right| \cdot 0.3275911, -0.284496736\right)\right)\right) \cdot e^{\left(-x\right) \cdot x}
\end{array}
\end{array}
Initial program 76.8%
Applied rewrites76.9%
Final simplification76.9%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(fma
(/
(+
(/
(+
(/
(- (- (/ (/ 1.061405429 t_0) t_0) (/ 1.453152027 t_0)) -1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592)
(fma -0.3275911 (fabs x) -1.0))
(exp (* (- x) x))
1.0)))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
return fma((((((((((1.061405429 / t_0) / t_0) - (1.453152027 / t_0)) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / fma(-0.3275911, fabs(x), -1.0)), exp((-x * x)), 1.0);
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) return fma(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) / t_0) - Float64(1.453152027 / t_0)) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / fma(-0.3275911, abs(x), -1.0)), exp(Float64(Float64(-x) * x)), 1.0) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, N[(N[(N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] / t$95$0), $MachinePrecision] - N[(1.453152027 / t$95$0), $MachinePrecision]), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision] / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision] + 1.0), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
\mathsf{fma}\left(\frac{\frac{\frac{\left(\frac{\frac{1.061405429}{t\_0}}{t\_0} - \frac{1.453152027}{t\_0}\right) - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)}, e^{\left(-x\right) \cdot x}, 1\right)
\end{array}
\end{array}
Initial program 76.8%
Applied rewrites76.9%
lift-/.f64N/A
lift--.f64N/A
div-subN/A
lower--.f64N/A
lower-/.f64N/A
lower-/.f6476.9
Applied rewrites76.9%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(fma
(/
(+
(/
(+
(/ (- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741) t_0)
-0.284496736)
t_0)
0.254829592)
(fma -0.3275911 (fabs x) -1.0))
(exp (* (- x) x))
1.0)))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
return fma((((((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / fma(-0.3275911, fabs(x), -1.0)), exp((-x * x)), 1.0);
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) return fma(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / fma(-0.3275911, abs(x), -1.0)), exp(Float64(Float64(-x) * x)), 1.0) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, N[(N[(N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision] / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision] + 1.0), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
\mathsf{fma}\left(\frac{\frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)}, e^{\left(-x\right) \cdot x}, 1\right)
\end{array}
\end{array}
Initial program 76.8%
Applied rewrites76.9%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1 (+ 1.0 (* 0.3275911 (fabs x)))))
(if (<= x 1.3)
(fma
(/
(+
(/
(+
(/
(- (- (/ (/ 1.061405429 t_0) t_0) (/ 1.453152027 t_0)) -1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592)
(fma -0.3275911 (fabs x) -1.0))
(+
1.0
(*
(* x x)
(- (* (* x x) (+ 0.5 (* -0.16666666666666666 (* x x)))) 1.0)))
1.0)
(-
1.0
(/ (* (exp (* (- x) x)) (- 0.254829592 (/ 0.284496736 t_1))) t_1)))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = 1.0 + (0.3275911 * fabs(x));
double tmp;
if (x <= 1.3) {
tmp = fma((((((((((1.061405429 / t_0) / t_0) - (1.453152027 / t_0)) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / fma(-0.3275911, fabs(x), -1.0)), (1.0 + ((x * x) * (((x * x) * (0.5 + (-0.16666666666666666 * (x * x)))) - 1.0))), 1.0);
} else {
tmp = 1.0 - ((exp((-x * x)) * (0.254829592 - (0.284496736 / t_1))) / t_1);
}
return tmp;
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64(1.0 + Float64(0.3275911 * abs(x))) tmp = 0.0 if (x <= 1.3) tmp = fma(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) / t_0) - Float64(1.453152027 / t_0)) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / fma(-0.3275911, abs(x), -1.0)), Float64(1.0 + Float64(Float64(x * x) * Float64(Float64(Float64(x * x) * Float64(0.5 + Float64(-0.16666666666666666 * Float64(x * x)))) - 1.0))), 1.0); else tmp = Float64(1.0 - Float64(Float64(exp(Float64(Float64(-x) * x)) * Float64(0.254829592 - Float64(0.284496736 / t_1))) / t_1)); end return tmp end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(1.0 + N[(0.3275911 * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, 1.3], N[(N[(N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] / t$95$0), $MachinePrecision] - N[(1.453152027 / t$95$0), $MachinePrecision]), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision] / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(N[(x * x), $MachinePrecision] * N[(N[(N[(x * x), $MachinePrecision] * N[(0.5 + N[(-0.16666666666666666 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision], N[(1.0 - N[(N[(N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision] * N[(0.254829592 - N[(0.284496736 / t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := 1 + 0.3275911 \cdot \left|x\right|\\
\mathbf{if}\;x \leq 1.3:\\
\;\;\;\;\mathsf{fma}\left(\frac{\frac{\frac{\left(\frac{\frac{1.061405429}{t\_0}}{t\_0} - \frac{1.453152027}{t\_0}\right) - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)}, 1 + \left(x \cdot x\right) \cdot \left(\left(x \cdot x\right) \cdot \left(0.5 + -0.16666666666666666 \cdot \left(x \cdot x\right)\right) - 1\right), 1\right)\\
\mathbf{else}:\\
\;\;\;\;1 - \frac{e^{\left(-x\right) \cdot x} \cdot \left(0.254829592 - \frac{0.284496736}{t\_1}\right)}{t\_1}\\
\end{array}
\end{array}
if x < 1.30000000000000004Initial program 71.2%
Applied rewrites71.2%
lift-/.f64N/A
lift--.f64N/A
div-subN/A
lower--.f64N/A
lower-/.f64N/A
lower-/.f6471.3
Applied rewrites71.3%
Taylor expanded in x around 0
Applied rewrites41.1%
if 1.30000000000000004 < x Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
Applied rewrites100.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1 (+ 1.0 (* 0.3275911 (fabs x)))))
(if (<= x 1.3)
(fma
(/
(+
(/
(+
(/ (- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741) t_0)
-0.284496736)
t_0)
0.254829592)
(fma -0.3275911 (fabs x) -1.0))
(+
1.0
(*
(* x x)
(- (* (* x x) (+ 0.5 (* -0.16666666666666666 (* x x)))) 1.0)))
1.0)
(-
1.0
(/ (* (exp (* (- x) x)) (- 0.254829592 (/ 0.284496736 t_1))) t_1)))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = 1.0 + (0.3275911 * fabs(x));
double tmp;
if (x <= 1.3) {
tmp = fma((((((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / fma(-0.3275911, fabs(x), -1.0)), (1.0 + ((x * x) * (((x * x) * (0.5 + (-0.16666666666666666 * (x * x)))) - 1.0))), 1.0);
} else {
tmp = 1.0 - ((exp((-x * x)) * (0.254829592 - (0.284496736 / t_1))) / t_1);
}
return tmp;
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64(1.0 + Float64(0.3275911 * abs(x))) tmp = 0.0 if (x <= 1.3) tmp = fma(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / fma(-0.3275911, abs(x), -1.0)), Float64(1.0 + Float64(Float64(x * x) * Float64(Float64(Float64(x * x) * Float64(0.5 + Float64(-0.16666666666666666 * Float64(x * x)))) - 1.0))), 1.0); else tmp = Float64(1.0 - Float64(Float64(exp(Float64(Float64(-x) * x)) * Float64(0.254829592 - Float64(0.284496736 / t_1))) / t_1)); end return tmp end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(1.0 + N[(0.3275911 * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, 1.3], N[(N[(N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision] / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(N[(x * x), $MachinePrecision] * N[(N[(N[(x * x), $MachinePrecision] * N[(0.5 + N[(-0.16666666666666666 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision], N[(1.0 - N[(N[(N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision] * N[(0.254829592 - N[(0.284496736 / t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := 1 + 0.3275911 \cdot \left|x\right|\\
\mathbf{if}\;x \leq 1.3:\\
\;\;\;\;\mathsf{fma}\left(\frac{\frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)}, 1 + \left(x \cdot x\right) \cdot \left(\left(x \cdot x\right) \cdot \left(0.5 + -0.16666666666666666 \cdot \left(x \cdot x\right)\right) - 1\right), 1\right)\\
\mathbf{else}:\\
\;\;\;\;1 - \frac{e^{\left(-x\right) \cdot x} \cdot \left(0.254829592 - \frac{0.284496736}{t\_1}\right)}{t\_1}\\
\end{array}
\end{array}
if x < 1.30000000000000004Initial program 71.2%
Applied rewrites71.2%
Taylor expanded in x around 0
Applied rewrites41.1%
if 1.30000000000000004 < x Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
Applied rewrites100.0%
Final simplification52.6%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(if (<= x 1.3)
(fma
(/
(+
(/
(+
(/ (- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741) t_0)
-0.284496736)
t_0)
0.254829592)
(fma -0.3275911 (fabs x) -1.0))
(+
1.0
(*
(* x x)
(- (* (* x x) (+ 0.5 (* -0.16666666666666666 (* x x)))) 1.0)))
1.0)
1.0)))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double tmp;
if (x <= 1.3) {
tmp = fma((((((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / fma(-0.3275911, fabs(x), -1.0)), (1.0 + ((x * x) * (((x * x) * (0.5 + (-0.16666666666666666 * (x * x)))) - 1.0))), 1.0);
} else {
tmp = 1.0;
}
return tmp;
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) tmp = 0.0 if (x <= 1.3) tmp = fma(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / fma(-0.3275911, abs(x), -1.0)), Float64(1.0 + Float64(Float64(x * x) * Float64(Float64(Float64(x * x) * Float64(0.5 + Float64(-0.16666666666666666 * Float64(x * x)))) - 1.0))), 1.0); else tmp = 1.0; end return tmp end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, If[LessEqual[x, 1.3], N[(N[(N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision] / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(N[(x * x), $MachinePrecision] * N[(N[(N[(x * x), $MachinePrecision] * N[(0.5 + N[(-0.16666666666666666 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision], 1.0]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
\mathbf{if}\;x \leq 1.3:\\
\;\;\;\;\mathsf{fma}\left(\frac{\frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)}, 1 + \left(x \cdot x\right) \cdot \left(\left(x \cdot x\right) \cdot \left(0.5 + -0.16666666666666666 \cdot \left(x \cdot x\right)\right) - 1\right), 1\right)\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\end{array}
if x < 1.30000000000000004Initial program 71.2%
Applied rewrites71.2%
Taylor expanded in x around 0
Applied rewrites41.1%
if 1.30000000000000004 < x Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
Applied rewrites100.0%
Final simplification52.6%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(if (<= x 1.15)
(fma
(/
(+
(/
(+
(/ (- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741) t_0)
-0.284496736)
t_0)
0.254829592)
(fma -0.3275911 (fabs x) -1.0))
(+ 1.0 (* (* x x) (- (* 0.5 (* x x)) 1.0)))
1.0)
1.0)))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double tmp;
if (x <= 1.15) {
tmp = fma((((((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / fma(-0.3275911, fabs(x), -1.0)), (1.0 + ((x * x) * ((0.5 * (x * x)) - 1.0))), 1.0);
} else {
tmp = 1.0;
}
return tmp;
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) tmp = 0.0 if (x <= 1.15) tmp = fma(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / fma(-0.3275911, abs(x), -1.0)), Float64(1.0 + Float64(Float64(x * x) * Float64(Float64(0.5 * Float64(x * x)) - 1.0))), 1.0); else tmp = 1.0; end return tmp end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, If[LessEqual[x, 1.15], N[(N[(N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision] / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(N[(x * x), $MachinePrecision] * N[(N[(0.5 * N[(x * x), $MachinePrecision]), $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision], 1.0]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
\mathbf{if}\;x \leq 1.15:\\
\;\;\;\;\mathsf{fma}\left(\frac{\frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)}, 1 + \left(x \cdot x\right) \cdot \left(0.5 \cdot \left(x \cdot x\right) - 1\right), 1\right)\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\end{array}
if x < 1.1499999999999999Initial program 71.2%
Applied rewrites71.2%
Taylor expanded in x around 0
Applied rewrites40.0%
if 1.1499999999999999 < x Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
Applied rewrites100.0%
Final simplification51.7%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(if (<= x 1.0)
(fma
(/
(+
(/
(+
(/ (- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741) t_0)
-0.284496736)
t_0)
0.254829592)
(fma -0.3275911 (fabs x) -1.0))
(- 1.0 (* x x))
1.0)
1.0)))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double tmp;
if (x <= 1.0) {
tmp = fma((((((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / fma(-0.3275911, fabs(x), -1.0)), (1.0 - (x * x)), 1.0);
} else {
tmp = 1.0;
}
return tmp;
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) tmp = 0.0 if (x <= 1.0) tmp = fma(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / fma(-0.3275911, abs(x), -1.0)), Float64(1.0 - Float64(x * x)), 1.0); else tmp = 1.0; end return tmp end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, If[LessEqual[x, 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] / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[(x * x), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision], 1.0]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
\mathbf{if}\;x \leq 1:\\
\;\;\;\;\mathsf{fma}\left(\frac{\frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)}, 1 - x \cdot x, 1\right)\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\end{array}
if x < 1Initial program 71.2%
Applied rewrites71.2%
Taylor expanded in x around 0
Applied rewrites41.4%
if 1 < x Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
Applied rewrites100.0%
Final simplification52.8%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(if (<= x 0.82)
(fma
(/
(+
(/
(+
(/ (- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741) t_0)
-0.284496736)
t_0)
0.254829592)
(fma -0.3275911 (fabs x) -1.0))
1.0
1.0)
1.0)))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double tmp;
if (x <= 0.82) {
tmp = fma((((((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / fma(-0.3275911, fabs(x), -1.0)), 1.0, 1.0);
} else {
tmp = 1.0;
}
return tmp;
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) tmp = 0.0 if (x <= 0.82) tmp = fma(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / fma(-0.3275911, abs(x), -1.0)), 1.0, 1.0); else tmp = 1.0; end return tmp end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, If[LessEqual[x, 0.82], N[(N[(N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision] / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * 1.0 + 1.0), $MachinePrecision], 1.0]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
\mathbf{if}\;x \leq 0.82:\\
\;\;\;\;\mathsf{fma}\left(\frac{\frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)}, 1, 1\right)\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\end{array}
if x < 0.819999999999999951Initial program 71.2%
Applied rewrites71.2%
Taylor expanded in x around 0
Applied rewrites68.6%
if 0.819999999999999951 < x Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
Applied rewrites100.0%
Final simplification74.8%
(FPCore (x) :precision binary64 1.0)
double code(double x) {
return 1.0;
}
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
code = 1.0d0
end function
public static double code(double x) {
return 1.0;
}
def code(x): return 1.0
function code(x) return 1.0 end
function tmp = code(x) tmp = 1.0; end
code[x_] := 1.0
\begin{array}{l}
\\
1
\end{array}
Initial program 76.8%
Applied rewrites76.9%
Taylor expanded in x around inf
Applied rewrites50.6%
herbie shell --seed 2025025
(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)))))))