\[\sin x \cdot \frac{\sinh y}{y}
\]
↓
\[\frac{\sin x}{\frac{y}{\sinh y}}
\]
(FPCore (x y) :precision binary64 (* (sin x) (/ (sinh y) y)))
↓
(FPCore (x y) :precision binary64 (/ (sin x) (/ y (sinh y))))
double code(double x, double y) {
return sin(x) * (sinh(y) / y);
}
↓
double code(double x, double y) {
return sin(x) / (y / sinh(y));
}
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = sin(x) * (sinh(y) / y)
end function
↓
real(8) function code(x, y)
real(8), intent (in) :: x
real(8), intent (in) :: y
code = sin(x) / (y / sinh(y))
end function
public static double code(double x, double y) {
return Math.sin(x) * (Math.sinh(y) / y);
}
↓
public static double code(double x, double y) {
return Math.sin(x) / (y / Math.sinh(y));
}
def code(x, y):
return math.sin(x) * (math.sinh(y) / y)
↓
def code(x, y):
return math.sin(x) / (y / math.sinh(y))
function code(x, y)
return Float64(sin(x) * Float64(sinh(y) / y))
end
↓
function code(x, y)
return Float64(sin(x) / Float64(y / sinh(y)))
end
function tmp = code(x, y)
tmp = sin(x) * (sinh(y) / y);
end
↓
function tmp = code(x, y)
tmp = sin(x) / (y / sinh(y));
end
code[x_, y_] := N[(N[Sin[x], $MachinePrecision] * N[(N[Sinh[y], $MachinePrecision] / y), $MachinePrecision]), $MachinePrecision]
↓
code[x_, y_] := N[(N[Sin[x], $MachinePrecision] / N[(y / N[Sinh[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\sin x \cdot \frac{\sinh y}{y}
↓
\frac{\sin x}{\frac{y}{\sinh y}}