Diagrams.Solve.Tridiagonal:solveTriDiagonal from diagrams-solve-0.1, B

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\[\frac{x}{y - z \cdot t} \]
(FPCore (x y z t) :precision binary64 (/ x (- y (* z t))))
double code(double x, double y, double z, double t) {
	return x / (y - (z * t));
}

real(8) function code(x, y, z, t)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    real(8), intent (in) :: t
    code = x / (y - (z * t))
end function

public static double code(double x, double y, double z, double t) {
	return x / (y - (z * t));
}

def code(x, y, z, t):
	return x / (y - (z * t))

function code(x, y, z, t)
	return Float64(x / Float64(y - Float64(z * t)))
end

function tmp = code(x, y, z, t)
	tmp = x / (y - (z * t));
end

code[x_, y_, z_, t_] := N[(x / N[(y - N[(z * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

\frac{x}{y - z \cdot t}