\[\frac{e^{x}}{e^{x} - 1}
\]
↓
\[\frac{e^{x}}{0.5 \cdot {x}^{2} + x}
\]
(FPCore (x) :precision binary64 (/ (exp x) (- (exp x) 1.0)))
↓
(FPCore (x) :precision binary64 (/ (exp x) (+ (* 0.5 (pow x 2.0)) x)))
double code(double x) {
return exp(x) / (exp(x) - 1.0);
}
↓
double code(double x) {
return exp(x) / ((0.5 * pow(x, 2.0)) + x);
}
real(8) function code(x)
real(8), intent (in) :: x
code = exp(x) / (exp(x) - 1.0d0)
end function
↓
real(8) function code(x)
real(8), intent (in) :: x
code = exp(x) / ((0.5d0 * (x ** 2.0d0)) + x)
end function
public static double code(double x) {
return Math.exp(x) / (Math.exp(x) - 1.0);
}
↓
public static double code(double x) {
return Math.exp(x) / ((0.5 * Math.pow(x, 2.0)) + x);
}
def code(x):
return math.exp(x) / (math.exp(x) - 1.0)
↓
def code(x):
return math.exp(x) / ((0.5 * math.pow(x, 2.0)) + x)
function code(x)
return Float64(exp(x) / Float64(exp(x) - 1.0))
end
↓
function code(x)
return Float64(exp(x) / Float64(Float64(0.5 * (x ^ 2.0)) + x))
end
function tmp = code(x)
tmp = exp(x) / (exp(x) - 1.0);
end
↓
function tmp = code(x)
tmp = exp(x) / ((0.5 * (x ^ 2.0)) + x);
end
code[x_] := N[(N[Exp[x], $MachinePrecision] / N[(N[Exp[x], $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision]
↓
code[x_] := N[(N[Exp[x], $MachinePrecision] / N[(N[(0.5 * N[Power[x, 2.0], $MachinePrecision]), $MachinePrecision] + x), $MachinePrecision]), $MachinePrecision]
\frac{e^{x}}{e^{x} - 1}
↓
\frac{e^{x}}{0.5 \cdot {x}^{2} + x}