\[\begin{array}{l}
\\
\left(\left(x \cdot y + \frac{z \cdot t}{16}\right) - \frac{a \cdot b}{4}\right) + c
\end{array}
\]
(FPCore (x y z t a b c)
:precision binary64
(+ (- (+ (* x y) (/ (* z t) 16.0)) (/ (* a b) 4.0)) c))
double code(double x, double y, double z, double t, double a, double b, double c) {
return (((x * y) + ((z * t) / 16.0)) - ((a * b) / 4.0)) + c;
}
real(8) function code(x, y, z, t, a, b, c)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8), intent (in) :: a
real(8), intent (in) :: b
real(8), intent (in) :: c
code = (((x * y) + ((z * t) / 16.0d0)) - ((a * b) / 4.0d0)) + c
end function
public static double code(double x, double y, double z, double t, double a, double b, double c) {
return (((x * y) + ((z * t) / 16.0)) - ((a * b) / 4.0)) + c;
}
def code(x, y, z, t, a, b, c):
return (((x * y) + ((z * t) / 16.0)) - ((a * b) / 4.0)) + c
function code(x, y, z, t, a, b, c)
return Float64(Float64(Float64(Float64(x * y) + Float64(Float64(z * t) / 16.0)) - Float64(Float64(a * b) / 4.0)) + c)
end
function tmp = code(x, y, z, t, a, b, c)
tmp = (((x * y) + ((z * t) / 16.0)) - ((a * b) / 4.0)) + c;
end
code[x_, y_, z_, t_, a_, b_, c_] := N[(N[(N[(N[(x * y), $MachinePrecision] + N[(N[(z * t), $MachinePrecision] / 16.0), $MachinePrecision]), $MachinePrecision] - N[(N[(a * b), $MachinePrecision] / 4.0), $MachinePrecision]), $MachinePrecision] + c), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(x \cdot y + \frac{z \cdot t}{16}\right) - \frac{a \cdot b}{4}\right) + c
\end{array}