To solve a constrained linear programming (LP) problem using the simplex method in MATLAB, you can use the 'linprog' function from the Optimization Toolbox. This function solves LP problems of the form:
minimize f'x
subject to A*x ≤ b
and lb ≤ x ≤ ub
Where:
Here is an example of how to use the 'linprog' function in MATLAB:
main.m349 chars16 lines
The output 'x' will contain the optimal values of the decision variables, 'fval' will contain the optimal objective function value, and 'exitflag' will indicate the solution status. You can refer to the MATLAB documentation for more information on the 'linprog' function.
Note: The simplex method may not be suitable for solving large-scale LP problems, as it can be computationally expensive. In such cases, you may consider using more efficient algorithms, such as interior-point methods.
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