
(FPCore (x y)
:precision binary64
(let* ((t_0 (sqrt (+ (pow (- y 0.275) 2.0) (pow (- x 0.275) 2.0)))))
(fmin
(fmin
(fmin
(fmin
(fmax (fmax (fmax (- y 0.55) (- y)) (- x 0.825)) (- 0.725 x))
(- (sqrt (+ (pow (- y 0.7) 2.0) (pow (- x 0.775) 2.0))) 0.075))
(fmax (fmax (fmax (- y) (- y 0.275)) (- x 0.55)) (- 0.45 x)))
(fmax (fmax (fmax (- y) (- y 1.0)) (- x 0.1)) (- x)))
(fmax
(fmax
(fmax (fmax (fmax (- y 0.55) (- x 0.55)) (- x)) (- 0.275 y))
(- 0.175 t_0))
(- t_0 0.275)))))
double code(double x, double y) {
double t_0 = sqrt((pow((y - 0.275), 2.0) + pow((x - 0.275), 2.0)));
return fmin(fmin(fmin(fmin(fmax(fmax(fmax((y - 0.55), -y), (x - 0.825)), (0.725 - x)), (sqrt((pow((y - 0.7), 2.0) + pow((x - 0.775), 2.0))) - 0.075)), fmax(fmax(fmax(-y, (y - 0.275)), (x - 0.55)), (0.45 - x))), fmax(fmax(fmax(-y, (y - 1.0)), (x - 0.1)), -x)), fmax(fmax(fmax(fmax(fmax((y - 0.55), (x - 0.55)), -x), (0.275 - y)), (0.175 - t_0)), (t_0 - 0.275)));
}
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, y)
use fmin_fmax_functions
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
t_0 = sqrt((((y - 0.275d0) ** 2.0d0) + ((x - 0.275d0) ** 2.0d0)))
code = fmin(fmin(fmin(fmin(fmax(fmax(fmax((y - 0.55d0), -y), (x - 0.825d0)), (0.725d0 - x)), (sqrt((((y - 0.7d0) ** 2.0d0) + ((x - 0.775d0) ** 2.0d0))) - 0.075d0)), fmax(fmax(fmax(-y, (y - 0.275d0)), (x - 0.55d0)), (0.45d0 - x))), fmax(fmax(fmax(-y, (y - 1.0d0)), (x - 0.1d0)), -x)), fmax(fmax(fmax(fmax(fmax((y - 0.55d0), (x - 0.55d0)), -x), (0.275d0 - y)), (0.175d0 - t_0)), (t_0 - 0.275d0)))
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt((Math.pow((y - 0.275), 2.0) + Math.pow((x - 0.275), 2.0)));
return fmin(fmin(fmin(fmin(fmax(fmax(fmax((y - 0.55), -y), (x - 0.825)), (0.725 - x)), (Math.sqrt((Math.pow((y - 0.7), 2.0) + Math.pow((x - 0.775), 2.0))) - 0.075)), fmax(fmax(fmax(-y, (y - 0.275)), (x - 0.55)), (0.45 - x))), fmax(fmax(fmax(-y, (y - 1.0)), (x - 0.1)), -x)), fmax(fmax(fmax(fmax(fmax((y - 0.55), (x - 0.55)), -x), (0.275 - y)), (0.175 - t_0)), (t_0 - 0.275)));
}
def code(x, y): t_0 = math.sqrt((math.pow((y - 0.275), 2.0) + math.pow((x - 0.275), 2.0))) return fmin(fmin(fmin(fmin(fmax(fmax(fmax((y - 0.55), -y), (x - 0.825)), (0.725 - x)), (math.sqrt((math.pow((y - 0.7), 2.0) + math.pow((x - 0.775), 2.0))) - 0.075)), fmax(fmax(fmax(-y, (y - 0.275)), (x - 0.55)), (0.45 - x))), fmax(fmax(fmax(-y, (y - 1.0)), (x - 0.1)), -x)), fmax(fmax(fmax(fmax(fmax((y - 0.55), (x - 0.55)), -x), (0.275 - y)), (0.175 - t_0)), (t_0 - 0.275)))
function code(x, y) t_0 = sqrt(Float64((Float64(y - 0.275) ^ 2.0) + (Float64(x - 0.275) ^ 2.0))) return fmin(fmin(fmin(fmin(fmax(fmax(fmax(Float64(y - 0.55), Float64(-y)), Float64(x - 0.825)), Float64(0.725 - x)), Float64(sqrt(Float64((Float64(y - 0.7) ^ 2.0) + (Float64(x - 0.775) ^ 2.0))) - 0.075)), fmax(fmax(fmax(Float64(-y), Float64(y - 0.275)), Float64(x - 0.55)), Float64(0.45 - x))), fmax(fmax(fmax(Float64(-y), Float64(y - 1.0)), Float64(x - 0.1)), Float64(-x))), fmax(fmax(fmax(fmax(fmax(Float64(y - 0.55), Float64(x - 0.55)), Float64(-x)), Float64(0.275 - y)), Float64(0.175 - t_0)), Float64(t_0 - 0.275))) end
function tmp = code(x, y) t_0 = sqrt((((y - 0.275) ^ 2.0) + ((x - 0.275) ^ 2.0))); tmp = min(min(min(min(max(max(max((y - 0.55), -y), (x - 0.825)), (0.725 - x)), (sqrt((((y - 0.7) ^ 2.0) + ((x - 0.775) ^ 2.0))) - 0.075)), max(max(max(-y, (y - 0.275)), (x - 0.55)), (0.45 - x))), max(max(max(-y, (y - 1.0)), (x - 0.1)), -x)), max(max(max(max(max((y - 0.55), (x - 0.55)), -x), (0.275 - y)), (0.175 - t_0)), (t_0 - 0.275))); end
code[x_, y_] := Block[{t$95$0 = N[Sqrt[N[(N[Power[N[(y - 0.275), $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[(x - 0.275), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, N[Min[N[Min[N[Min[N[Min[N[Max[N[Max[N[Max[N[(y - 0.55), $MachinePrecision], (-y)], $MachinePrecision], N[(x - 0.825), $MachinePrecision]], $MachinePrecision], N[(0.725 - x), $MachinePrecision]], $MachinePrecision], N[(N[Sqrt[N[(N[Power[N[(y - 0.7), $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[(x - 0.775), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] - 0.075), $MachinePrecision]], $MachinePrecision], N[Max[N[Max[N[Max[(-y), N[(y - 0.275), $MachinePrecision]], $MachinePrecision], N[(x - 0.55), $MachinePrecision]], $MachinePrecision], N[(0.45 - x), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], N[Max[N[Max[N[Max[(-y), N[(y - 1.0), $MachinePrecision]], $MachinePrecision], N[(x - 0.1), $MachinePrecision]], $MachinePrecision], (-x)], $MachinePrecision]], $MachinePrecision], N[Max[N[Max[N[Max[N[Max[N[Max[N[(y - 0.55), $MachinePrecision], N[(x - 0.55), $MachinePrecision]], $MachinePrecision], (-x)], $MachinePrecision], N[(0.275 - y), $MachinePrecision]], $MachinePrecision], N[(0.175 - t$95$0), $MachinePrecision]], $MachinePrecision], N[(t$95$0 - 0.275), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{{\left(y - 0.275\right)}^{2} + {\left(x - 0.275\right)}^{2}}\\
\mathsf{min}\left(\mathsf{min}\left(\mathsf{min}\left(\mathsf{min}\left(\mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(y - 0.55, -y\right), x - 0.825\right), 0.725 - x\right), \sqrt{{\left(y - 0.7\right)}^{2} + {\left(x - 0.775\right)}^{2}} - 0.075\right), \mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(-y, y - 0.275\right), x - 0.55\right), 0.45 - x\right)\right), \mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(-y, y - 1\right), x - 0.1\right), -x\right)\right), \mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(y - 0.55, x - 0.55\right), -x\right), 0.275 - y\right), 0.175 - t\_0\right), t\_0 - 0.275\right)\right)
\end{array}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 6 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y)
:precision binary64
(let* ((t_0 (sqrt (+ (pow (- y 0.275) 2.0) (pow (- x 0.275) 2.0)))))
(fmin
(fmin
(fmin
(fmin
(fmax (fmax (fmax (- y 0.55) (- y)) (- x 0.825)) (- 0.725 x))
(- (sqrt (+ (pow (- y 0.7) 2.0) (pow (- x 0.775) 2.0))) 0.075))
(fmax (fmax (fmax (- y) (- y 0.275)) (- x 0.55)) (- 0.45 x)))
(fmax (fmax (fmax (- y) (- y 1.0)) (- x 0.1)) (- x)))
(fmax
(fmax
(fmax (fmax (fmax (- y 0.55) (- x 0.55)) (- x)) (- 0.275 y))
(- 0.175 t_0))
(- t_0 0.275)))))
double code(double x, double y) {
double t_0 = sqrt((pow((y - 0.275), 2.0) + pow((x - 0.275), 2.0)));
return fmin(fmin(fmin(fmin(fmax(fmax(fmax((y - 0.55), -y), (x - 0.825)), (0.725 - x)), (sqrt((pow((y - 0.7), 2.0) + pow((x - 0.775), 2.0))) - 0.075)), fmax(fmax(fmax(-y, (y - 0.275)), (x - 0.55)), (0.45 - x))), fmax(fmax(fmax(-y, (y - 1.0)), (x - 0.1)), -x)), fmax(fmax(fmax(fmax(fmax((y - 0.55), (x - 0.55)), -x), (0.275 - y)), (0.175 - t_0)), (t_0 - 0.275)));
}
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, y)
use fmin_fmax_functions
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8) :: t_0
t_0 = sqrt((((y - 0.275d0) ** 2.0d0) + ((x - 0.275d0) ** 2.0d0)))
code = fmin(fmin(fmin(fmin(fmax(fmax(fmax((y - 0.55d0), -y), (x - 0.825d0)), (0.725d0 - x)), (sqrt((((y - 0.7d0) ** 2.0d0) + ((x - 0.775d0) ** 2.0d0))) - 0.075d0)), fmax(fmax(fmax(-y, (y - 0.275d0)), (x - 0.55d0)), (0.45d0 - x))), fmax(fmax(fmax(-y, (y - 1.0d0)), (x - 0.1d0)), -x)), fmax(fmax(fmax(fmax(fmax((y - 0.55d0), (x - 0.55d0)), -x), (0.275d0 - y)), (0.175d0 - t_0)), (t_0 - 0.275d0)))
end function
public static double code(double x, double y) {
double t_0 = Math.sqrt((Math.pow((y - 0.275), 2.0) + Math.pow((x - 0.275), 2.0)));
return fmin(fmin(fmin(fmin(fmax(fmax(fmax((y - 0.55), -y), (x - 0.825)), (0.725 - x)), (Math.sqrt((Math.pow((y - 0.7), 2.0) + Math.pow((x - 0.775), 2.0))) - 0.075)), fmax(fmax(fmax(-y, (y - 0.275)), (x - 0.55)), (0.45 - x))), fmax(fmax(fmax(-y, (y - 1.0)), (x - 0.1)), -x)), fmax(fmax(fmax(fmax(fmax((y - 0.55), (x - 0.55)), -x), (0.275 - y)), (0.175 - t_0)), (t_0 - 0.275)));
}
def code(x, y): t_0 = math.sqrt((math.pow((y - 0.275), 2.0) + math.pow((x - 0.275), 2.0))) return fmin(fmin(fmin(fmin(fmax(fmax(fmax((y - 0.55), -y), (x - 0.825)), (0.725 - x)), (math.sqrt((math.pow((y - 0.7), 2.0) + math.pow((x - 0.775), 2.0))) - 0.075)), fmax(fmax(fmax(-y, (y - 0.275)), (x - 0.55)), (0.45 - x))), fmax(fmax(fmax(-y, (y - 1.0)), (x - 0.1)), -x)), fmax(fmax(fmax(fmax(fmax((y - 0.55), (x - 0.55)), -x), (0.275 - y)), (0.175 - t_0)), (t_0 - 0.275)))
function code(x, y) t_0 = sqrt(Float64((Float64(y - 0.275) ^ 2.0) + (Float64(x - 0.275) ^ 2.0))) return fmin(fmin(fmin(fmin(fmax(fmax(fmax(Float64(y - 0.55), Float64(-y)), Float64(x - 0.825)), Float64(0.725 - x)), Float64(sqrt(Float64((Float64(y - 0.7) ^ 2.0) + (Float64(x - 0.775) ^ 2.0))) - 0.075)), fmax(fmax(fmax(Float64(-y), Float64(y - 0.275)), Float64(x - 0.55)), Float64(0.45 - x))), fmax(fmax(fmax(Float64(-y), Float64(y - 1.0)), Float64(x - 0.1)), Float64(-x))), fmax(fmax(fmax(fmax(fmax(Float64(y - 0.55), Float64(x - 0.55)), Float64(-x)), Float64(0.275 - y)), Float64(0.175 - t_0)), Float64(t_0 - 0.275))) end
function tmp = code(x, y) t_0 = sqrt((((y - 0.275) ^ 2.0) + ((x - 0.275) ^ 2.0))); tmp = min(min(min(min(max(max(max((y - 0.55), -y), (x - 0.825)), (0.725 - x)), (sqrt((((y - 0.7) ^ 2.0) + ((x - 0.775) ^ 2.0))) - 0.075)), max(max(max(-y, (y - 0.275)), (x - 0.55)), (0.45 - x))), max(max(max(-y, (y - 1.0)), (x - 0.1)), -x)), max(max(max(max(max((y - 0.55), (x - 0.55)), -x), (0.275 - y)), (0.175 - t_0)), (t_0 - 0.275))); end
code[x_, y_] := Block[{t$95$0 = N[Sqrt[N[(N[Power[N[(y - 0.275), $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[(x - 0.275), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, N[Min[N[Min[N[Min[N[Min[N[Max[N[Max[N[Max[N[(y - 0.55), $MachinePrecision], (-y)], $MachinePrecision], N[(x - 0.825), $MachinePrecision]], $MachinePrecision], N[(0.725 - x), $MachinePrecision]], $MachinePrecision], N[(N[Sqrt[N[(N[Power[N[(y - 0.7), $MachinePrecision], 2.0], $MachinePrecision] + N[Power[N[(x - 0.775), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] - 0.075), $MachinePrecision]], $MachinePrecision], N[Max[N[Max[N[Max[(-y), N[(y - 0.275), $MachinePrecision]], $MachinePrecision], N[(x - 0.55), $MachinePrecision]], $MachinePrecision], N[(0.45 - x), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], N[Max[N[Max[N[Max[(-y), N[(y - 1.0), $MachinePrecision]], $MachinePrecision], N[(x - 0.1), $MachinePrecision]], $MachinePrecision], (-x)], $MachinePrecision]], $MachinePrecision], N[Max[N[Max[N[Max[N[Max[N[Max[N[(y - 0.55), $MachinePrecision], N[(x - 0.55), $MachinePrecision]], $MachinePrecision], (-x)], $MachinePrecision], N[(0.275 - y), $MachinePrecision]], $MachinePrecision], N[(0.175 - t$95$0), $MachinePrecision]], $MachinePrecision], N[(t$95$0 - 0.275), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{{\left(y - 0.275\right)}^{2} + {\left(x - 0.275\right)}^{2}}\\
\mathsf{min}\left(\mathsf{min}\left(\mathsf{min}\left(\mathsf{min}\left(\mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(y - 0.55, -y\right), x - 0.825\right), 0.725 - x\right), \sqrt{{\left(y - 0.7\right)}^{2} + {\left(x - 0.775\right)}^{2}} - 0.075\right), \mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(-y, y - 0.275\right), x - 0.55\right), 0.45 - x\right)\right), \mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(-y, y - 1\right), x - 0.1\right), -x\right)\right), \mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(y - 0.55, x - 0.55\right), -x\right), 0.275 - y\right), 0.175 - t\_0\right), t\_0 - 0.275\right)\right)
\end{array}
\end{array}
(FPCore (x y)
:precision binary64
(fmin
(fmin
(fmin
(fmin
(fmax (fmax (fmax (- y 0.55) (- y)) (- x 0.825)) (- 0.725 x))
(- (hypot (- x 0.775) (- y 0.7)) 0.075))
(fmax (fmax (fmax (- y) (- y 0.275)) (- x 0.55)) (- 0.45 x)))
(fmax (fmax (fmax (- y) (- y 1.0)) (- x 0.1)) (- x)))
(fmax
(fmax (fmax (fmax (fmax (- y 0.55) (- x 0.55)) (- x)) (- 0.275 y)) y)
(- (hypot (- x 0.275) y) 0.275))))
double code(double x, double y) {
return fmin(fmin(fmin(fmin(fmax(fmax(fmax((y - 0.55), -y), (x - 0.825)), (0.725 - x)), (hypot((x - 0.775), (y - 0.7)) - 0.075)), fmax(fmax(fmax(-y, (y - 0.275)), (x - 0.55)), (0.45 - x))), fmax(fmax(fmax(-y, (y - 1.0)), (x - 0.1)), -x)), fmax(fmax(fmax(fmax(fmax((y - 0.55), (x - 0.55)), -x), (0.275 - y)), y), (hypot((x - 0.275), y) - 0.275)));
}
public static double code(double x, double y) {
return fmin(fmin(fmin(fmin(fmax(fmax(fmax((y - 0.55), -y), (x - 0.825)), (0.725 - x)), (Math.hypot((x - 0.775), (y - 0.7)) - 0.075)), fmax(fmax(fmax(-y, (y - 0.275)), (x - 0.55)), (0.45 - x))), fmax(fmax(fmax(-y, (y - 1.0)), (x - 0.1)), -x)), fmax(fmax(fmax(fmax(fmax((y - 0.55), (x - 0.55)), -x), (0.275 - y)), y), (Math.hypot((x - 0.275), y) - 0.275)));
}
def code(x, y): return fmin(fmin(fmin(fmin(fmax(fmax(fmax((y - 0.55), -y), (x - 0.825)), (0.725 - x)), (math.hypot((x - 0.775), (y - 0.7)) - 0.075)), fmax(fmax(fmax(-y, (y - 0.275)), (x - 0.55)), (0.45 - x))), fmax(fmax(fmax(-y, (y - 1.0)), (x - 0.1)), -x)), fmax(fmax(fmax(fmax(fmax((y - 0.55), (x - 0.55)), -x), (0.275 - y)), y), (math.hypot((x - 0.275), y) - 0.275)))
function code(x, y) return fmin(fmin(fmin(fmin(fmax(fmax(fmax(Float64(y - 0.55), Float64(-y)), Float64(x - 0.825)), Float64(0.725 - x)), Float64(hypot(Float64(x - 0.775), Float64(y - 0.7)) - 0.075)), fmax(fmax(fmax(Float64(-y), Float64(y - 0.275)), Float64(x - 0.55)), Float64(0.45 - x))), fmax(fmax(fmax(Float64(-y), Float64(y - 1.0)), Float64(x - 0.1)), Float64(-x))), fmax(fmax(fmax(fmax(fmax(Float64(y - 0.55), Float64(x - 0.55)), Float64(-x)), Float64(0.275 - y)), y), Float64(hypot(Float64(x - 0.275), y) - 0.275))) end
function tmp = code(x, y) tmp = min(min(min(min(max(max(max((y - 0.55), -y), (x - 0.825)), (0.725 - x)), (hypot((x - 0.775), (y - 0.7)) - 0.075)), max(max(max(-y, (y - 0.275)), (x - 0.55)), (0.45 - x))), max(max(max(-y, (y - 1.0)), (x - 0.1)), -x)), max(max(max(max(max((y - 0.55), (x - 0.55)), -x), (0.275 - y)), y), (hypot((x - 0.275), y) - 0.275))); end
code[x_, y_] := N[Min[N[Min[N[Min[N[Min[N[Max[N[Max[N[Max[N[(y - 0.55), $MachinePrecision], (-y)], $MachinePrecision], N[(x - 0.825), $MachinePrecision]], $MachinePrecision], N[(0.725 - x), $MachinePrecision]], $MachinePrecision], N[(N[Sqrt[N[(x - 0.775), $MachinePrecision] ^ 2 + N[(y - 0.7), $MachinePrecision] ^ 2], $MachinePrecision] - 0.075), $MachinePrecision]], $MachinePrecision], N[Max[N[Max[N[Max[(-y), N[(y - 0.275), $MachinePrecision]], $MachinePrecision], N[(x - 0.55), $MachinePrecision]], $MachinePrecision], N[(0.45 - x), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], N[Max[N[Max[N[Max[(-y), N[(y - 1.0), $MachinePrecision]], $MachinePrecision], N[(x - 0.1), $MachinePrecision]], $MachinePrecision], (-x)], $MachinePrecision]], $MachinePrecision], N[Max[N[Max[N[Max[N[Max[N[Max[N[(y - 0.55), $MachinePrecision], N[(x - 0.55), $MachinePrecision]], $MachinePrecision], (-x)], $MachinePrecision], N[(0.275 - y), $MachinePrecision]], $MachinePrecision], y], $MachinePrecision], N[(N[Sqrt[N[(x - 0.275), $MachinePrecision] ^ 2 + y ^ 2], $MachinePrecision] - 0.275), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\mathsf{min}\left(\mathsf{min}\left(\mathsf{min}\left(\mathsf{min}\left(\mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(y - 0.55, -y\right), x - 0.825\right), 0.725 - x\right), \mathsf{hypot}\left(x - 0.775, y - 0.7\right) - 0.075\right), \mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(-y, y - 0.275\right), x - 0.55\right), 0.45 - x\right)\right), \mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(-y, y - 1\right), x - 0.1\right), -x\right)\right), \mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(y - 0.55, x - 0.55\right), -x\right), 0.275 - y\right), y\right), \mathsf{hypot}\left(x - 0.275, y\right) - 0.275\right)\right)
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in y around inf
Applied rewrites100.0%
Taylor expanded in y around -inf
Applied rewrites100.0%
(FPCore (x y)
:precision binary64
(let* ((t_0 (fmax (fmax (fmax (- y) (- y 0.275)) (- x 0.55)) (- 0.45 x)))
(t_1 (fmax (fmax (fmax (- y 0.55) (- x 0.55)) (- x)) (- 0.275 y)))
(t_2 (fmax (fmax t_1 (- 0.175 (hypot (- x 0.275) (- y 0.275)))) y))
(t_3 (fmax (fmax (fmax (- y 0.55) (- y)) (- x 0.825)) (- 0.725 x)))
(t_4 (fmax (fmax (fmax (- y) (- y 1.0)) (- x 0.1)) (- x))))
(if (<= x -3.2e-64)
(fmin (fmin (fmin (fmin t_3 (- x)) t_0) t_4) t_2)
(if (<= x 3.8)
(fmin (fmin (fmin (fmin t_3 (- y)) t_0) t_4) t_2)
(fmin
(fmin (fmin (fmin t_3 (* (- 1.0 (/ 0.85 x)) x)) t_0) t_4)
(fmax (fmax t_1 x) y))))))
double code(double x, double y) {
double t_0 = fmax(fmax(fmax(-y, (y - 0.275)), (x - 0.55)), (0.45 - x));
double t_1 = fmax(fmax(fmax((y - 0.55), (x - 0.55)), -x), (0.275 - y));
double t_2 = fmax(fmax(t_1, (0.175 - hypot((x - 0.275), (y - 0.275)))), y);
double t_3 = fmax(fmax(fmax((y - 0.55), -y), (x - 0.825)), (0.725 - x));
double t_4 = fmax(fmax(fmax(-y, (y - 1.0)), (x - 0.1)), -x);
double tmp;
if (x <= -3.2e-64) {
tmp = fmin(fmin(fmin(fmin(t_3, -x), t_0), t_4), t_2);
} else if (x <= 3.8) {
tmp = fmin(fmin(fmin(fmin(t_3, -y), t_0), t_4), t_2);
} else {
tmp = fmin(fmin(fmin(fmin(t_3, ((1.0 - (0.85 / x)) * x)), t_0), t_4), fmax(fmax(t_1, x), y));
}
return tmp;
}
public static double code(double x, double y) {
double t_0 = fmax(fmax(fmax(-y, (y - 0.275)), (x - 0.55)), (0.45 - x));
double t_1 = fmax(fmax(fmax((y - 0.55), (x - 0.55)), -x), (0.275 - y));
double t_2 = fmax(fmax(t_1, (0.175 - Math.hypot((x - 0.275), (y - 0.275)))), y);
double t_3 = fmax(fmax(fmax((y - 0.55), -y), (x - 0.825)), (0.725 - x));
double t_4 = fmax(fmax(fmax(-y, (y - 1.0)), (x - 0.1)), -x);
double tmp;
if (x <= -3.2e-64) {
tmp = fmin(fmin(fmin(fmin(t_3, -x), t_0), t_4), t_2);
} else if (x <= 3.8) {
tmp = fmin(fmin(fmin(fmin(t_3, -y), t_0), t_4), t_2);
} else {
tmp = fmin(fmin(fmin(fmin(t_3, ((1.0 - (0.85 / x)) * x)), t_0), t_4), fmax(fmax(t_1, x), y));
}
return tmp;
}
def code(x, y): t_0 = fmax(fmax(fmax(-y, (y - 0.275)), (x - 0.55)), (0.45 - x)) t_1 = fmax(fmax(fmax((y - 0.55), (x - 0.55)), -x), (0.275 - y)) t_2 = fmax(fmax(t_1, (0.175 - math.hypot((x - 0.275), (y - 0.275)))), y) t_3 = fmax(fmax(fmax((y - 0.55), -y), (x - 0.825)), (0.725 - x)) t_4 = fmax(fmax(fmax(-y, (y - 1.0)), (x - 0.1)), -x) tmp = 0 if x <= -3.2e-64: tmp = fmin(fmin(fmin(fmin(t_3, -x), t_0), t_4), t_2) elif x <= 3.8: tmp = fmin(fmin(fmin(fmin(t_3, -y), t_0), t_4), t_2) else: tmp = fmin(fmin(fmin(fmin(t_3, ((1.0 - (0.85 / x)) * x)), t_0), t_4), fmax(fmax(t_1, x), y)) return tmp
function code(x, y) t_0 = fmax(fmax(fmax(Float64(-y), Float64(y - 0.275)), Float64(x - 0.55)), Float64(0.45 - x)) t_1 = fmax(fmax(fmax(Float64(y - 0.55), Float64(x - 0.55)), Float64(-x)), Float64(0.275 - y)) t_2 = fmax(fmax(t_1, Float64(0.175 - hypot(Float64(x - 0.275), Float64(y - 0.275)))), y) t_3 = fmax(fmax(fmax(Float64(y - 0.55), Float64(-y)), Float64(x - 0.825)), Float64(0.725 - x)) t_4 = fmax(fmax(fmax(Float64(-y), Float64(y - 1.0)), Float64(x - 0.1)), Float64(-x)) tmp = 0.0 if (x <= -3.2e-64) tmp = fmin(fmin(fmin(fmin(t_3, Float64(-x)), t_0), t_4), t_2); elseif (x <= 3.8) tmp = fmin(fmin(fmin(fmin(t_3, Float64(-y)), t_0), t_4), t_2); else tmp = fmin(fmin(fmin(fmin(t_3, Float64(Float64(1.0 - Float64(0.85 / x)) * x)), t_0), t_4), fmax(fmax(t_1, x), y)); end return tmp end
function tmp_2 = code(x, y) t_0 = max(max(max(-y, (y - 0.275)), (x - 0.55)), (0.45 - x)); t_1 = max(max(max((y - 0.55), (x - 0.55)), -x), (0.275 - y)); t_2 = max(max(t_1, (0.175 - hypot((x - 0.275), (y - 0.275)))), y); t_3 = max(max(max((y - 0.55), -y), (x - 0.825)), (0.725 - x)); t_4 = max(max(max(-y, (y - 1.0)), (x - 0.1)), -x); tmp = 0.0; if (x <= -3.2e-64) tmp = min(min(min(min(t_3, -x), t_0), t_4), t_2); elseif (x <= 3.8) tmp = min(min(min(min(t_3, -y), t_0), t_4), t_2); else tmp = min(min(min(min(t_3, ((1.0 - (0.85 / x)) * x)), t_0), t_4), max(max(t_1, x), y)); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[Max[N[Max[N[Max[(-y), N[(y - 0.275), $MachinePrecision]], $MachinePrecision], N[(x - 0.55), $MachinePrecision]], $MachinePrecision], N[(0.45 - x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Max[N[Max[N[Max[N[(y - 0.55), $MachinePrecision], N[(x - 0.55), $MachinePrecision]], $MachinePrecision], (-x)], $MachinePrecision], N[(0.275 - y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Max[N[Max[t$95$1, N[(0.175 - N[Sqrt[N[(x - 0.275), $MachinePrecision] ^ 2 + N[(y - 0.275), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]], $MachinePrecision], y], $MachinePrecision]}, Block[{t$95$3 = N[Max[N[Max[N[Max[N[(y - 0.55), $MachinePrecision], (-y)], $MachinePrecision], N[(x - 0.825), $MachinePrecision]], $MachinePrecision], N[(0.725 - x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Max[N[Max[N[Max[(-y), N[(y - 1.0), $MachinePrecision]], $MachinePrecision], N[(x - 0.1), $MachinePrecision]], $MachinePrecision], (-x)], $MachinePrecision]}, If[LessEqual[x, -3.2e-64], N[Min[N[Min[N[Min[N[Min[t$95$3, (-x)], $MachinePrecision], t$95$0], $MachinePrecision], t$95$4], $MachinePrecision], t$95$2], $MachinePrecision], If[LessEqual[x, 3.8], N[Min[N[Min[N[Min[N[Min[t$95$3, (-y)], $MachinePrecision], t$95$0], $MachinePrecision], t$95$4], $MachinePrecision], t$95$2], $MachinePrecision], N[Min[N[Min[N[Min[N[Min[t$95$3, N[(N[(1.0 - N[(0.85 / x), $MachinePrecision]), $MachinePrecision] * x), $MachinePrecision]], $MachinePrecision], t$95$0], $MachinePrecision], t$95$4], $MachinePrecision], N[Max[N[Max[t$95$1, x], $MachinePrecision], y], $MachinePrecision]], $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(-y, y - 0.275\right), x - 0.55\right), 0.45 - x\right)\\
t_1 := \mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(y - 0.55, x - 0.55\right), -x\right), 0.275 - y\right)\\
t_2 := \mathsf{max}\left(\mathsf{max}\left(t\_1, 0.175 - \mathsf{hypot}\left(x - 0.275, y - 0.275\right)\right), y\right)\\
t_3 := \mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(y - 0.55, -y\right), x - 0.825\right), 0.725 - x\right)\\
t_4 := \mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(-y, y - 1\right), x - 0.1\right), -x\right)\\
\mathbf{if}\;x \leq -3.2 \cdot 10^{-64}:\\
\;\;\;\;\mathsf{min}\left(\mathsf{min}\left(\mathsf{min}\left(\mathsf{min}\left(t\_3, -x\right), t\_0\right), t\_4\right), t\_2\right)\\
\mathbf{elif}\;x \leq 3.8:\\
\;\;\;\;\mathsf{min}\left(\mathsf{min}\left(\mathsf{min}\left(\mathsf{min}\left(t\_3, -y\right), t\_0\right), t\_4\right), t\_2\right)\\
\mathbf{else}:\\
\;\;\;\;\mathsf{min}\left(\mathsf{min}\left(\mathsf{min}\left(\mathsf{min}\left(t\_3, \left(1 - \frac{0.85}{x}\right) \cdot x\right), t\_0\right), t\_4\right), \mathsf{max}\left(\mathsf{max}\left(t\_1, x\right), y\right)\right)\\
\end{array}
\end{array}
if x < -3.19999999999999975e-64Initial program 100.0%
Taylor expanded in x around inf
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f640.6
Applied rewrites0.6%
Applied rewrites0.6%
Taylor expanded in y around inf
Applied rewrites0.6%
Taylor expanded in x around -inf
+-commutativeN/A
pow2N/A
pow2N/A
mul-1-negN/A
lift-neg.f6477.3
Applied rewrites77.3%
if -3.19999999999999975e-64 < x < 3.7999999999999998Initial program 100.0%
Taylor expanded in x around inf
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f641.9
Applied rewrites1.9%
Applied rewrites1.9%
Taylor expanded in y around inf
Applied rewrites1.9%
Taylor expanded in y around -inf
+-commutativeN/A
pow2N/A
pow2N/A
mul-1-negN/A
lift-neg.f6461.8
Applied rewrites61.8%
if 3.7999999999999998 < x Initial program 100.0%
Taylor expanded in x around inf
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f6475.2
Applied rewrites75.2%
Applied rewrites75.2%
Taylor expanded in y around inf
Applied rewrites75.2%
Taylor expanded in x around -inf
Applied rewrites75.2%
Final simplification69.7%
(FPCore (x y)
:precision binary64
(let* ((t_0 (fmax (fmax (fmax (- y) (- y 0.275)) (- x 0.55)) (- 0.45 x)))
(t_1 (fmax (fmax (fmax (- y 0.55) (- x 0.55)) (- x)) (- 0.275 y)))
(t_2 (fmax (fmax t_1 (- 0.175 (hypot (- x 0.275) (- y 0.275)))) y))
(t_3 (fmax (fmax (fmax (- y 0.55) (- y)) (- x 0.825)) (- 0.725 x)))
(t_4 (fmax (fmax (fmax (- y) (- y 1.0)) (- x 0.1)) (- x))))
(if (<= x -1.55e-125)
(fmin (fmin (fmin (fmin t_3 (- x)) t_0) t_4) t_2)
(if (<= x 29.0)
(fmin (fmin (fmin (fmin t_3 y) t_0) t_4) t_2)
(fmin
(fmin (fmin (fmin t_3 (* (- 1.0 (/ 0.85 x)) x)) t_0) t_4)
(fmax (fmax t_1 x) y))))))
double code(double x, double y) {
double t_0 = fmax(fmax(fmax(-y, (y - 0.275)), (x - 0.55)), (0.45 - x));
double t_1 = fmax(fmax(fmax((y - 0.55), (x - 0.55)), -x), (0.275 - y));
double t_2 = fmax(fmax(t_1, (0.175 - hypot((x - 0.275), (y - 0.275)))), y);
double t_3 = fmax(fmax(fmax((y - 0.55), -y), (x - 0.825)), (0.725 - x));
double t_4 = fmax(fmax(fmax(-y, (y - 1.0)), (x - 0.1)), -x);
double tmp;
if (x <= -1.55e-125) {
tmp = fmin(fmin(fmin(fmin(t_3, -x), t_0), t_4), t_2);
} else if (x <= 29.0) {
tmp = fmin(fmin(fmin(fmin(t_3, y), t_0), t_4), t_2);
} else {
tmp = fmin(fmin(fmin(fmin(t_3, ((1.0 - (0.85 / x)) * x)), t_0), t_4), fmax(fmax(t_1, x), y));
}
return tmp;
}
public static double code(double x, double y) {
double t_0 = fmax(fmax(fmax(-y, (y - 0.275)), (x - 0.55)), (0.45 - x));
double t_1 = fmax(fmax(fmax((y - 0.55), (x - 0.55)), -x), (0.275 - y));
double t_2 = fmax(fmax(t_1, (0.175 - Math.hypot((x - 0.275), (y - 0.275)))), y);
double t_3 = fmax(fmax(fmax((y - 0.55), -y), (x - 0.825)), (0.725 - x));
double t_4 = fmax(fmax(fmax(-y, (y - 1.0)), (x - 0.1)), -x);
double tmp;
if (x <= -1.55e-125) {
tmp = fmin(fmin(fmin(fmin(t_3, -x), t_0), t_4), t_2);
} else if (x <= 29.0) {
tmp = fmin(fmin(fmin(fmin(t_3, y), t_0), t_4), t_2);
} else {
tmp = fmin(fmin(fmin(fmin(t_3, ((1.0 - (0.85 / x)) * x)), t_0), t_4), fmax(fmax(t_1, x), y));
}
return tmp;
}
def code(x, y): t_0 = fmax(fmax(fmax(-y, (y - 0.275)), (x - 0.55)), (0.45 - x)) t_1 = fmax(fmax(fmax((y - 0.55), (x - 0.55)), -x), (0.275 - y)) t_2 = fmax(fmax(t_1, (0.175 - math.hypot((x - 0.275), (y - 0.275)))), y) t_3 = fmax(fmax(fmax((y - 0.55), -y), (x - 0.825)), (0.725 - x)) t_4 = fmax(fmax(fmax(-y, (y - 1.0)), (x - 0.1)), -x) tmp = 0 if x <= -1.55e-125: tmp = fmin(fmin(fmin(fmin(t_3, -x), t_0), t_4), t_2) elif x <= 29.0: tmp = fmin(fmin(fmin(fmin(t_3, y), t_0), t_4), t_2) else: tmp = fmin(fmin(fmin(fmin(t_3, ((1.0 - (0.85 / x)) * x)), t_0), t_4), fmax(fmax(t_1, x), y)) return tmp
function code(x, y) t_0 = fmax(fmax(fmax(Float64(-y), Float64(y - 0.275)), Float64(x - 0.55)), Float64(0.45 - x)) t_1 = fmax(fmax(fmax(Float64(y - 0.55), Float64(x - 0.55)), Float64(-x)), Float64(0.275 - y)) t_2 = fmax(fmax(t_1, Float64(0.175 - hypot(Float64(x - 0.275), Float64(y - 0.275)))), y) t_3 = fmax(fmax(fmax(Float64(y - 0.55), Float64(-y)), Float64(x - 0.825)), Float64(0.725 - x)) t_4 = fmax(fmax(fmax(Float64(-y), Float64(y - 1.0)), Float64(x - 0.1)), Float64(-x)) tmp = 0.0 if (x <= -1.55e-125) tmp = fmin(fmin(fmin(fmin(t_3, Float64(-x)), t_0), t_4), t_2); elseif (x <= 29.0) tmp = fmin(fmin(fmin(fmin(t_3, y), t_0), t_4), t_2); else tmp = fmin(fmin(fmin(fmin(t_3, Float64(Float64(1.0 - Float64(0.85 / x)) * x)), t_0), t_4), fmax(fmax(t_1, x), y)); end return tmp end
function tmp_2 = code(x, y) t_0 = max(max(max(-y, (y - 0.275)), (x - 0.55)), (0.45 - x)); t_1 = max(max(max((y - 0.55), (x - 0.55)), -x), (0.275 - y)); t_2 = max(max(t_1, (0.175 - hypot((x - 0.275), (y - 0.275)))), y); t_3 = max(max(max((y - 0.55), -y), (x - 0.825)), (0.725 - x)); t_4 = max(max(max(-y, (y - 1.0)), (x - 0.1)), -x); tmp = 0.0; if (x <= -1.55e-125) tmp = min(min(min(min(t_3, -x), t_0), t_4), t_2); elseif (x <= 29.0) tmp = min(min(min(min(t_3, y), t_0), t_4), t_2); else tmp = min(min(min(min(t_3, ((1.0 - (0.85 / x)) * x)), t_0), t_4), max(max(t_1, x), y)); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[Max[N[Max[N[Max[(-y), N[(y - 0.275), $MachinePrecision]], $MachinePrecision], N[(x - 0.55), $MachinePrecision]], $MachinePrecision], N[(0.45 - x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Max[N[Max[N[Max[N[(y - 0.55), $MachinePrecision], N[(x - 0.55), $MachinePrecision]], $MachinePrecision], (-x)], $MachinePrecision], N[(0.275 - y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Max[N[Max[t$95$1, N[(0.175 - N[Sqrt[N[(x - 0.275), $MachinePrecision] ^ 2 + N[(y - 0.275), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]], $MachinePrecision], y], $MachinePrecision]}, Block[{t$95$3 = N[Max[N[Max[N[Max[N[(y - 0.55), $MachinePrecision], (-y)], $MachinePrecision], N[(x - 0.825), $MachinePrecision]], $MachinePrecision], N[(0.725 - x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Max[N[Max[N[Max[(-y), N[(y - 1.0), $MachinePrecision]], $MachinePrecision], N[(x - 0.1), $MachinePrecision]], $MachinePrecision], (-x)], $MachinePrecision]}, If[LessEqual[x, -1.55e-125], N[Min[N[Min[N[Min[N[Min[t$95$3, (-x)], $MachinePrecision], t$95$0], $MachinePrecision], t$95$4], $MachinePrecision], t$95$2], $MachinePrecision], If[LessEqual[x, 29.0], N[Min[N[Min[N[Min[N[Min[t$95$3, y], $MachinePrecision], t$95$0], $MachinePrecision], t$95$4], $MachinePrecision], t$95$2], $MachinePrecision], N[Min[N[Min[N[Min[N[Min[t$95$3, N[(N[(1.0 - N[(0.85 / x), $MachinePrecision]), $MachinePrecision] * x), $MachinePrecision]], $MachinePrecision], t$95$0], $MachinePrecision], t$95$4], $MachinePrecision], N[Max[N[Max[t$95$1, x], $MachinePrecision], y], $MachinePrecision]], $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(-y, y - 0.275\right), x - 0.55\right), 0.45 - x\right)\\
t_1 := \mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(y - 0.55, x - 0.55\right), -x\right), 0.275 - y\right)\\
t_2 := \mathsf{max}\left(\mathsf{max}\left(t\_1, 0.175 - \mathsf{hypot}\left(x - 0.275, y - 0.275\right)\right), y\right)\\
t_3 := \mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(y - 0.55, -y\right), x - 0.825\right), 0.725 - x\right)\\
t_4 := \mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(-y, y - 1\right), x - 0.1\right), -x\right)\\
\mathbf{if}\;x \leq -1.55 \cdot 10^{-125}:\\
\;\;\;\;\mathsf{min}\left(\mathsf{min}\left(\mathsf{min}\left(\mathsf{min}\left(t\_3, -x\right), t\_0\right), t\_4\right), t\_2\right)\\
\mathbf{elif}\;x \leq 29:\\
\;\;\;\;\mathsf{min}\left(\mathsf{min}\left(\mathsf{min}\left(\mathsf{min}\left(t\_3, y\right), t\_0\right), t\_4\right), t\_2\right)\\
\mathbf{else}:\\
\;\;\;\;\mathsf{min}\left(\mathsf{min}\left(\mathsf{min}\left(\mathsf{min}\left(t\_3, \left(1 - \frac{0.85}{x}\right) \cdot x\right), t\_0\right), t\_4\right), \mathsf{max}\left(\mathsf{max}\left(t\_1, x\right), y\right)\right)\\
\end{array}
\end{array}
if x < -1.55000000000000006e-125Initial program 100.0%
Taylor expanded in x around inf
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f640.8
Applied rewrites0.8%
Applied rewrites0.8%
Taylor expanded in y around inf
Applied rewrites0.8%
Taylor expanded in x around -inf
+-commutativeN/A
pow2N/A
pow2N/A
mul-1-negN/A
lift-neg.f6470.4
Applied rewrites70.4%
if -1.55000000000000006e-125 < x < 29Initial program 100.0%
Taylor expanded in x around inf
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f642.0
Applied rewrites2.0%
Applied rewrites2.0%
Taylor expanded in y around inf
Applied rewrites2.0%
Taylor expanded in y around inf
+-commutative46.1
pow246.1
pow246.1
Applied rewrites46.1%
if 29 < x Initial program 100.0%
Taylor expanded in x around inf
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f6476.3
Applied rewrites76.3%
Applied rewrites76.3%
Taylor expanded in y around inf
Applied rewrites76.3%
Taylor expanded in x around -inf
Applied rewrites76.3%
Final simplification62.3%
(FPCore (x y)
:precision binary64
(let* ((t_0 (fmax (fmax (fmax (- y 0.55) (- y)) (- x 0.825)) (- 0.725 x)))
(t_1 (fmax (fmax (fmax (- y) (- y 1.0)) (- x 0.1)) (- x)))
(t_2 (fmax (fmax (fmax (- y) (- y 0.275)) (- x 0.55)) (- 0.45 x)))
(t_3
(fmax
(fmax
(fmax (fmax (fmax (- y 0.55) (- x 0.55)) (- x)) (- 0.275 y))
(- 0.175 (hypot (- x 0.275) (- y 0.275))))
y)))
(if (<= y 6.7e-159)
(fmin (fmin (fmin (fmin t_0 x) t_2) t_1) t_3)
(fmin (fmin (fmin (fmin t_0 y) t_2) t_1) t_3))))
double code(double x, double y) {
double t_0 = fmax(fmax(fmax((y - 0.55), -y), (x - 0.825)), (0.725 - x));
double t_1 = fmax(fmax(fmax(-y, (y - 1.0)), (x - 0.1)), -x);
double t_2 = fmax(fmax(fmax(-y, (y - 0.275)), (x - 0.55)), (0.45 - x));
double t_3 = fmax(fmax(fmax(fmax(fmax((y - 0.55), (x - 0.55)), -x), (0.275 - y)), (0.175 - hypot((x - 0.275), (y - 0.275)))), y);
double tmp;
if (y <= 6.7e-159) {
tmp = fmin(fmin(fmin(fmin(t_0, x), t_2), t_1), t_3);
} else {
tmp = fmin(fmin(fmin(fmin(t_0, y), t_2), t_1), t_3);
}
return tmp;
}
public static double code(double x, double y) {
double t_0 = fmax(fmax(fmax((y - 0.55), -y), (x - 0.825)), (0.725 - x));
double t_1 = fmax(fmax(fmax(-y, (y - 1.0)), (x - 0.1)), -x);
double t_2 = fmax(fmax(fmax(-y, (y - 0.275)), (x - 0.55)), (0.45 - x));
double t_3 = fmax(fmax(fmax(fmax(fmax((y - 0.55), (x - 0.55)), -x), (0.275 - y)), (0.175 - Math.hypot((x - 0.275), (y - 0.275)))), y);
double tmp;
if (y <= 6.7e-159) {
tmp = fmin(fmin(fmin(fmin(t_0, x), t_2), t_1), t_3);
} else {
tmp = fmin(fmin(fmin(fmin(t_0, y), t_2), t_1), t_3);
}
return tmp;
}
def code(x, y): t_0 = fmax(fmax(fmax((y - 0.55), -y), (x - 0.825)), (0.725 - x)) t_1 = fmax(fmax(fmax(-y, (y - 1.0)), (x - 0.1)), -x) t_2 = fmax(fmax(fmax(-y, (y - 0.275)), (x - 0.55)), (0.45 - x)) t_3 = fmax(fmax(fmax(fmax(fmax((y - 0.55), (x - 0.55)), -x), (0.275 - y)), (0.175 - math.hypot((x - 0.275), (y - 0.275)))), y) tmp = 0 if y <= 6.7e-159: tmp = fmin(fmin(fmin(fmin(t_0, x), t_2), t_1), t_3) else: tmp = fmin(fmin(fmin(fmin(t_0, y), t_2), t_1), t_3) return tmp
function code(x, y) t_0 = fmax(fmax(fmax(Float64(y - 0.55), Float64(-y)), Float64(x - 0.825)), Float64(0.725 - x)) t_1 = fmax(fmax(fmax(Float64(-y), Float64(y - 1.0)), Float64(x - 0.1)), Float64(-x)) t_2 = fmax(fmax(fmax(Float64(-y), Float64(y - 0.275)), Float64(x - 0.55)), Float64(0.45 - x)) t_3 = fmax(fmax(fmax(fmax(fmax(Float64(y - 0.55), Float64(x - 0.55)), Float64(-x)), Float64(0.275 - y)), Float64(0.175 - hypot(Float64(x - 0.275), Float64(y - 0.275)))), y) tmp = 0.0 if (y <= 6.7e-159) tmp = fmin(fmin(fmin(fmin(t_0, x), t_2), t_1), t_3); else tmp = fmin(fmin(fmin(fmin(t_0, y), t_2), t_1), t_3); end return tmp end
function tmp_2 = code(x, y) t_0 = max(max(max((y - 0.55), -y), (x - 0.825)), (0.725 - x)); t_1 = max(max(max(-y, (y - 1.0)), (x - 0.1)), -x); t_2 = max(max(max(-y, (y - 0.275)), (x - 0.55)), (0.45 - x)); t_3 = max(max(max(max(max((y - 0.55), (x - 0.55)), -x), (0.275 - y)), (0.175 - hypot((x - 0.275), (y - 0.275)))), y); tmp = 0.0; if (y <= 6.7e-159) tmp = min(min(min(min(t_0, x), t_2), t_1), t_3); else tmp = min(min(min(min(t_0, y), t_2), t_1), t_3); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[Max[N[Max[N[Max[N[(y - 0.55), $MachinePrecision], (-y)], $MachinePrecision], N[(x - 0.825), $MachinePrecision]], $MachinePrecision], N[(0.725 - x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Max[N[Max[N[Max[(-y), N[(y - 1.0), $MachinePrecision]], $MachinePrecision], N[(x - 0.1), $MachinePrecision]], $MachinePrecision], (-x)], $MachinePrecision]}, Block[{t$95$2 = N[Max[N[Max[N[Max[(-y), N[(y - 0.275), $MachinePrecision]], $MachinePrecision], N[(x - 0.55), $MachinePrecision]], $MachinePrecision], N[(0.45 - x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Max[N[Max[N[Max[N[Max[N[Max[N[(y - 0.55), $MachinePrecision], N[(x - 0.55), $MachinePrecision]], $MachinePrecision], (-x)], $MachinePrecision], N[(0.275 - y), $MachinePrecision]], $MachinePrecision], N[(0.175 - N[Sqrt[N[(x - 0.275), $MachinePrecision] ^ 2 + N[(y - 0.275), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]], $MachinePrecision], y], $MachinePrecision]}, If[LessEqual[y, 6.7e-159], N[Min[N[Min[N[Min[N[Min[t$95$0, x], $MachinePrecision], t$95$2], $MachinePrecision], t$95$1], $MachinePrecision], t$95$3], $MachinePrecision], N[Min[N[Min[N[Min[N[Min[t$95$0, y], $MachinePrecision], t$95$2], $MachinePrecision], t$95$1], $MachinePrecision], t$95$3], $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(y - 0.55, -y\right), x - 0.825\right), 0.725 - x\right)\\
t_1 := \mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(-y, y - 1\right), x - 0.1\right), -x\right)\\
t_2 := \mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(-y, y - 0.275\right), x - 0.55\right), 0.45 - x\right)\\
t_3 := \mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(y - 0.55, x - 0.55\right), -x\right), 0.275 - y\right), 0.175 - \mathsf{hypot}\left(x - 0.275, y - 0.275\right)\right), y\right)\\
\mathbf{if}\;y \leq 6.7 \cdot 10^{-159}:\\
\;\;\;\;\mathsf{min}\left(\mathsf{min}\left(\mathsf{min}\left(\mathsf{min}\left(t\_0, x\right), t\_2\right), t\_1\right), t\_3\right)\\
\mathbf{else}:\\
\;\;\;\;\mathsf{min}\left(\mathsf{min}\left(\mathsf{min}\left(\mathsf{min}\left(t\_0, y\right), t\_2\right), t\_1\right), t\_3\right)\\
\end{array}
\end{array}
if y < 6.7000000000000005e-159Initial program 100.0%
Taylor expanded in x around inf
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f6422.6
Applied rewrites22.6%
Applied rewrites22.6%
Taylor expanded in y around inf
Applied rewrites22.6%
Taylor expanded in x around inf
Applied rewrites31.3%
if 6.7000000000000005e-159 < y Initial program 100.0%
Taylor expanded in x around inf
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f6415.0
Applied rewrites15.0%
Applied rewrites15.0%
Taylor expanded in y around inf
Applied rewrites15.0%
Taylor expanded in y around inf
+-commutative63.1
pow263.1
pow263.1
Applied rewrites63.1%
Final simplification42.7%
(FPCore (x y)
:precision binary64
(let* ((t_0 (fmax (fmax (fmax (- y) (- y 0.275)) (- x 0.55)) (- 0.45 x)))
(t_1 (fmax (fmax (fmax (- y 0.55) (- x 0.55)) (- x)) (- 0.275 y)))
(t_2 (fmax (fmax (fmax (- y 0.55) (- y)) (- x 0.825)) (- 0.725 x)))
(t_3 (fmax (fmax (fmax (- y) (- y 1.0)) (- x 0.1)) (- x))))
(if (<= x 29.0)
(fmin
(fmin (fmin (fmin t_2 y) t_0) t_3)
(fmax (fmax t_1 (- 0.175 (hypot (- x 0.275) (- y 0.275)))) y))
(fmin
(fmin (fmin (fmin t_2 (* (- 1.0 (/ 0.85 x)) x)) t_0) t_3)
(fmax (fmax t_1 x) y)))))
double code(double x, double y) {
double t_0 = fmax(fmax(fmax(-y, (y - 0.275)), (x - 0.55)), (0.45 - x));
double t_1 = fmax(fmax(fmax((y - 0.55), (x - 0.55)), -x), (0.275 - y));
double t_2 = fmax(fmax(fmax((y - 0.55), -y), (x - 0.825)), (0.725 - x));
double t_3 = fmax(fmax(fmax(-y, (y - 1.0)), (x - 0.1)), -x);
double tmp;
if (x <= 29.0) {
tmp = fmin(fmin(fmin(fmin(t_2, y), t_0), t_3), fmax(fmax(t_1, (0.175 - hypot((x - 0.275), (y - 0.275)))), y));
} else {
tmp = fmin(fmin(fmin(fmin(t_2, ((1.0 - (0.85 / x)) * x)), t_0), t_3), fmax(fmax(t_1, x), y));
}
return tmp;
}
public static double code(double x, double y) {
double t_0 = fmax(fmax(fmax(-y, (y - 0.275)), (x - 0.55)), (0.45 - x));
double t_1 = fmax(fmax(fmax((y - 0.55), (x - 0.55)), -x), (0.275 - y));
double t_2 = fmax(fmax(fmax((y - 0.55), -y), (x - 0.825)), (0.725 - x));
double t_3 = fmax(fmax(fmax(-y, (y - 1.0)), (x - 0.1)), -x);
double tmp;
if (x <= 29.0) {
tmp = fmin(fmin(fmin(fmin(t_2, y), t_0), t_3), fmax(fmax(t_1, (0.175 - Math.hypot((x - 0.275), (y - 0.275)))), y));
} else {
tmp = fmin(fmin(fmin(fmin(t_2, ((1.0 - (0.85 / x)) * x)), t_0), t_3), fmax(fmax(t_1, x), y));
}
return tmp;
}
def code(x, y): t_0 = fmax(fmax(fmax(-y, (y - 0.275)), (x - 0.55)), (0.45 - x)) t_1 = fmax(fmax(fmax((y - 0.55), (x - 0.55)), -x), (0.275 - y)) t_2 = fmax(fmax(fmax((y - 0.55), -y), (x - 0.825)), (0.725 - x)) t_3 = fmax(fmax(fmax(-y, (y - 1.0)), (x - 0.1)), -x) tmp = 0 if x <= 29.0: tmp = fmin(fmin(fmin(fmin(t_2, y), t_0), t_3), fmax(fmax(t_1, (0.175 - math.hypot((x - 0.275), (y - 0.275)))), y)) else: tmp = fmin(fmin(fmin(fmin(t_2, ((1.0 - (0.85 / x)) * x)), t_0), t_3), fmax(fmax(t_1, x), y)) return tmp
function code(x, y) t_0 = fmax(fmax(fmax(Float64(-y), Float64(y - 0.275)), Float64(x - 0.55)), Float64(0.45 - x)) t_1 = fmax(fmax(fmax(Float64(y - 0.55), Float64(x - 0.55)), Float64(-x)), Float64(0.275 - y)) t_2 = fmax(fmax(fmax(Float64(y - 0.55), Float64(-y)), Float64(x - 0.825)), Float64(0.725 - x)) t_3 = fmax(fmax(fmax(Float64(-y), Float64(y - 1.0)), Float64(x - 0.1)), Float64(-x)) tmp = 0.0 if (x <= 29.0) tmp = fmin(fmin(fmin(fmin(t_2, y), t_0), t_3), fmax(fmax(t_1, Float64(0.175 - hypot(Float64(x - 0.275), Float64(y - 0.275)))), y)); else tmp = fmin(fmin(fmin(fmin(t_2, Float64(Float64(1.0 - Float64(0.85 / x)) * x)), t_0), t_3), fmax(fmax(t_1, x), y)); end return tmp end
function tmp_2 = code(x, y) t_0 = max(max(max(-y, (y - 0.275)), (x - 0.55)), (0.45 - x)); t_1 = max(max(max((y - 0.55), (x - 0.55)), -x), (0.275 - y)); t_2 = max(max(max((y - 0.55), -y), (x - 0.825)), (0.725 - x)); t_3 = max(max(max(-y, (y - 1.0)), (x - 0.1)), -x); tmp = 0.0; if (x <= 29.0) tmp = min(min(min(min(t_2, y), t_0), t_3), max(max(t_1, (0.175 - hypot((x - 0.275), (y - 0.275)))), y)); else tmp = min(min(min(min(t_2, ((1.0 - (0.85 / x)) * x)), t_0), t_3), max(max(t_1, x), y)); end tmp_2 = tmp; end
code[x_, y_] := Block[{t$95$0 = N[Max[N[Max[N[Max[(-y), N[(y - 0.275), $MachinePrecision]], $MachinePrecision], N[(x - 0.55), $MachinePrecision]], $MachinePrecision], N[(0.45 - x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Max[N[Max[N[Max[N[(y - 0.55), $MachinePrecision], N[(x - 0.55), $MachinePrecision]], $MachinePrecision], (-x)], $MachinePrecision], N[(0.275 - y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Max[N[Max[N[Max[N[(y - 0.55), $MachinePrecision], (-y)], $MachinePrecision], N[(x - 0.825), $MachinePrecision]], $MachinePrecision], N[(0.725 - x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Max[N[Max[N[Max[(-y), N[(y - 1.0), $MachinePrecision]], $MachinePrecision], N[(x - 0.1), $MachinePrecision]], $MachinePrecision], (-x)], $MachinePrecision]}, If[LessEqual[x, 29.0], N[Min[N[Min[N[Min[N[Min[t$95$2, y], $MachinePrecision], t$95$0], $MachinePrecision], t$95$3], $MachinePrecision], N[Max[N[Max[t$95$1, N[(0.175 - N[Sqrt[N[(x - 0.275), $MachinePrecision] ^ 2 + N[(y - 0.275), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]], $MachinePrecision], y], $MachinePrecision]], $MachinePrecision], N[Min[N[Min[N[Min[N[Min[t$95$2, N[(N[(1.0 - N[(0.85 / x), $MachinePrecision]), $MachinePrecision] * x), $MachinePrecision]], $MachinePrecision], t$95$0], $MachinePrecision], t$95$3], $MachinePrecision], N[Max[N[Max[t$95$1, x], $MachinePrecision], y], $MachinePrecision]], $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(-y, y - 0.275\right), x - 0.55\right), 0.45 - x\right)\\
t_1 := \mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(y - 0.55, x - 0.55\right), -x\right), 0.275 - y\right)\\
t_2 := \mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(y - 0.55, -y\right), x - 0.825\right), 0.725 - x\right)\\
t_3 := \mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(-y, y - 1\right), x - 0.1\right), -x\right)\\
\mathbf{if}\;x \leq 29:\\
\;\;\;\;\mathsf{min}\left(\mathsf{min}\left(\mathsf{min}\left(\mathsf{min}\left(t\_2, y\right), t\_0\right), t\_3\right), \mathsf{max}\left(\mathsf{max}\left(t\_1, 0.175 - \mathsf{hypot}\left(x - 0.275, y - 0.275\right)\right), y\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\mathsf{min}\left(\mathsf{min}\left(\mathsf{min}\left(\mathsf{min}\left(t\_2, \left(1 - \frac{0.85}{x}\right) \cdot x\right), t\_0\right), t\_3\right), \mathsf{max}\left(\mathsf{max}\left(t\_1, x\right), y\right)\right)\\
\end{array}
\end{array}
if x < 29Initial program 100.0%
Taylor expanded in x around inf
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f641.4
Applied rewrites1.4%
Applied rewrites1.4%
Taylor expanded in y around inf
Applied rewrites1.4%
Taylor expanded in y around inf
+-commutative30.3
pow230.3
pow230.3
Applied rewrites30.3%
if 29 < x Initial program 100.0%
Taylor expanded in x around inf
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f6476.3
Applied rewrites76.3%
Applied rewrites76.3%
Taylor expanded in y around inf
Applied rewrites76.3%
Taylor expanded in x around -inf
Applied rewrites76.3%
Final simplification41.6%
(FPCore (x y)
:precision binary64
(fmin
(fmin
(fmin
(fmin
(fmax (fmax (fmax (- y 0.55) (- y)) (- x 0.825)) (- 0.725 x))
(* (- 1.0 (/ 0.85 x)) x))
(fmax (fmax (fmax (- y) (- y 0.275)) (- x 0.55)) (- 0.45 x)))
(fmax (fmax (fmax (- y) (- y 1.0)) (- x 0.1)) (- x)))
(fmax
(fmax (fmax (fmax (fmax (- y 0.55) (- x 0.55)) (- x)) (- 0.275 y)) x)
y)))
double code(double x, double y) {
return fmin(fmin(fmin(fmin(fmax(fmax(fmax((y - 0.55), -y), (x - 0.825)), (0.725 - x)), ((1.0 - (0.85 / x)) * x)), fmax(fmax(fmax(-y, (y - 0.275)), (x - 0.55)), (0.45 - x))), fmax(fmax(fmax(-y, (y - 1.0)), (x - 0.1)), -x)), fmax(fmax(fmax(fmax(fmax((y - 0.55), (x - 0.55)), -x), (0.275 - y)), x), y));
}
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, y)
use fmin_fmax_functions
real(8), intent (in) :: x
real(8), intent (in) :: y
code = fmin(fmin(fmin(fmin(fmax(fmax(fmax((y - 0.55d0), -y), (x - 0.825d0)), (0.725d0 - x)), ((1.0d0 - (0.85d0 / x)) * x)), fmax(fmax(fmax(-y, (y - 0.275d0)), (x - 0.55d0)), (0.45d0 - x))), fmax(fmax(fmax(-y, (y - 1.0d0)), (x - 0.1d0)), -x)), fmax(fmax(fmax(fmax(fmax((y - 0.55d0), (x - 0.55d0)), -x), (0.275d0 - y)), x), y))
end function
public static double code(double x, double y) {
return fmin(fmin(fmin(fmin(fmax(fmax(fmax((y - 0.55), -y), (x - 0.825)), (0.725 - x)), ((1.0 - (0.85 / x)) * x)), fmax(fmax(fmax(-y, (y - 0.275)), (x - 0.55)), (0.45 - x))), fmax(fmax(fmax(-y, (y - 1.0)), (x - 0.1)), -x)), fmax(fmax(fmax(fmax(fmax((y - 0.55), (x - 0.55)), -x), (0.275 - y)), x), y));
}
def code(x, y): return fmin(fmin(fmin(fmin(fmax(fmax(fmax((y - 0.55), -y), (x - 0.825)), (0.725 - x)), ((1.0 - (0.85 / x)) * x)), fmax(fmax(fmax(-y, (y - 0.275)), (x - 0.55)), (0.45 - x))), fmax(fmax(fmax(-y, (y - 1.0)), (x - 0.1)), -x)), fmax(fmax(fmax(fmax(fmax((y - 0.55), (x - 0.55)), -x), (0.275 - y)), x), y))
function code(x, y) return fmin(fmin(fmin(fmin(fmax(fmax(fmax(Float64(y - 0.55), Float64(-y)), Float64(x - 0.825)), Float64(0.725 - x)), Float64(Float64(1.0 - Float64(0.85 / x)) * x)), fmax(fmax(fmax(Float64(-y), Float64(y - 0.275)), Float64(x - 0.55)), Float64(0.45 - x))), fmax(fmax(fmax(Float64(-y), Float64(y - 1.0)), Float64(x - 0.1)), Float64(-x))), fmax(fmax(fmax(fmax(fmax(Float64(y - 0.55), Float64(x - 0.55)), Float64(-x)), Float64(0.275 - y)), x), y)) end
function tmp = code(x, y) tmp = min(min(min(min(max(max(max((y - 0.55), -y), (x - 0.825)), (0.725 - x)), ((1.0 - (0.85 / x)) * x)), max(max(max(-y, (y - 0.275)), (x - 0.55)), (0.45 - x))), max(max(max(-y, (y - 1.0)), (x - 0.1)), -x)), max(max(max(max(max((y - 0.55), (x - 0.55)), -x), (0.275 - y)), x), y)); end
code[x_, y_] := N[Min[N[Min[N[Min[N[Min[N[Max[N[Max[N[Max[N[(y - 0.55), $MachinePrecision], (-y)], $MachinePrecision], N[(x - 0.825), $MachinePrecision]], $MachinePrecision], N[(0.725 - x), $MachinePrecision]], $MachinePrecision], N[(N[(1.0 - N[(0.85 / x), $MachinePrecision]), $MachinePrecision] * x), $MachinePrecision]], $MachinePrecision], N[Max[N[Max[N[Max[(-y), N[(y - 0.275), $MachinePrecision]], $MachinePrecision], N[(x - 0.55), $MachinePrecision]], $MachinePrecision], N[(0.45 - x), $MachinePrecision]], $MachinePrecision]], $MachinePrecision], N[Max[N[Max[N[Max[(-y), N[(y - 1.0), $MachinePrecision]], $MachinePrecision], N[(x - 0.1), $MachinePrecision]], $MachinePrecision], (-x)], $MachinePrecision]], $MachinePrecision], N[Max[N[Max[N[Max[N[Max[N[Max[N[(y - 0.55), $MachinePrecision], N[(x - 0.55), $MachinePrecision]], $MachinePrecision], (-x)], $MachinePrecision], N[(0.275 - y), $MachinePrecision]], $MachinePrecision], x], $MachinePrecision], y], $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\mathsf{min}\left(\mathsf{min}\left(\mathsf{min}\left(\mathsf{min}\left(\mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(y - 0.55, -y\right), x - 0.825\right), 0.725 - x\right), \left(1 - \frac{0.85}{x}\right) \cdot x\right), \mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(-y, y - 0.275\right), x - 0.55\right), 0.45 - x\right)\right), \mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(-y, y - 1\right), x - 0.1\right), -x\right)\right), \mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(\mathsf{max}\left(y - 0.55, x - 0.55\right), -x\right), 0.275 - y\right), x\right), y\right)\right)
\end{array}
Initial program 100.0%
Taylor expanded in x around inf
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f6419.9
Applied rewrites19.9%
Applied rewrites19.9%
Taylor expanded in y around inf
Applied rewrites19.9%
Taylor expanded in x around -inf
Applied rewrites19.9%
Final simplification19.9%
herbie shell --seed 2025057
(FPCore (x y)
:name "The letters hi in the upper-right quadrant"
:precision binary64
(fmin (fmin (fmin (fmin (fmax (fmax (fmax (- y 0.55) (- y)) (- x 0.825)) (- 0.725 x)) (- (sqrt (+ (pow (- y 0.7) 2.0) (pow (- x 0.775) 2.0))) 0.075)) (fmax (fmax (fmax (- y) (- y 0.275)) (- x 0.55)) (- 0.45 x))) (fmax (fmax (fmax (- y) (- y 1.0)) (- x 0.1)) (- x))) (fmax (fmax (fmax (fmax (fmax (- y 0.55) (- x 0.55)) (- x)) (- 0.275 y)) (- 0.175 (sqrt (+ (pow (- y 0.275) 2.0) (pow (- x 0.275) 2.0))))) (- (sqrt (+ (pow (- y 0.275) 2.0) (pow (- x 0.275) 2.0))) 0.275))))