Bound and linear constraints in nonlinear programming.

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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.

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