Bound and linear constraints in nonlinear programming.

Would you be so helpful and expalain to me the algorithm of putting constraints on objective function variables, which take the simplest possible form:

0 <= x(1) <= 5;

0<= x(2) <=6 ... etc.;

I should point out that my function comprises multiple variables and the code looks as follows:

>function f = objfun(x)

>load('optfun_con2.mat'); %loading a set of constants

>f = (((x(1).*(x(2).*x(1).*x(5) + x(3).*x(1).*x(6) + x(4).*x(1).*x(7))./x(1) ... %no point in typing more of the function

>end

>

I want to use @objfun in Optimization Toolbox and I don't know how to implement the bound constraints. Help greatly appreciated.