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