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Comparison of Interior Point Method Execution Time in Solving Linear Optimization Problems using MATHEMATICA and SCILAB
Linear optimization is part of optimization where the objective function is linear and all of the constraints are in linear forms. An efficient method for solving linear optimization is called Interior Point Method. In this paper, we present the execution time of linear optimization
problems using the Interior Point Method in Mathematica and Scilab. Then we compare the results.
Interior point method, Linear optimization, Scilab, Mathematica.