\[x0 = 1.855 \land x1 = 0.000209 \lor x0 = 2.985 \land x1 = 0.0186\]
\[\frac{x0}{1 - x1} - x0
\]
(FPCore (x0 x1)
:precision binary64
:pre (or (and (== x0 1.855) (== x1 0.000209))
(and (== x0 2.985) (== x1 0.0186)))
(- (/ x0 (- 1.0 x1)) x0))double code(double x0, double x1) {
return (x0 / (1.0 - x1)) - x0;
}
real(8) function code(x0, x1)
use fmin_fmax_functions
real(8), intent (in) :: x0
real(8), intent (in) :: x1
code = (x0 / (1.0d0 - x1)) - x0
end function
public static double code(double x0, double x1) {
return (x0 / (1.0 - x1)) - x0;
}
def code(x0, x1):
return (x0 / (1.0 - x1)) - x0
function code(x0, x1)
return Float64(Float64(x0 / Float64(1.0 - x1)) - x0)
end
function tmp = code(x0, x1)
tmp = (x0 / (1.0 - x1)) - x0;
end
code[x0_, x1_] := N[(N[(x0 / N[(1.0 - x1), $MachinePrecision]), $MachinePrecision] - x0), $MachinePrecision]
f(x0, x1):
x0 in [1854999999999999982236431605997495353221893310546875e-51, 2984999999999999875655021241982467472553253173828125e-51],
x1 in [20900000000000001150642081615416145723429508507251739501953125e-65, 18599999999999998478994456263535539619624614715576171875e-57]
code: THEORY
BEGIN
f(x0, x1: real): real =
(x0 / ((1) - x1)) - x0
END code