2019IOP Conference Series Earth and Environmental ScienceOpen access

Evaluation of interior-point method in Scilab

Bib Paruhum Silalahi

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Abstract

The interior-point method is one of the best methods for solving linear programming problems. The interior-point method has a polynomial time complexity for solving linear programming problems. Next, Scilab as a free source software provides a function to solve linear programming based on interior-point method, which is called Karmarkar. In this paper, we evaluate some results of Scilab Karmarkar function in solving linear programming problems. We observe that at some cases the results of the Karmarkar function are not as expected.

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The interior-point method is one of the best methods for solving linear programming problems. The interior-point method has a polynomial time complexity for solving linear programming problems. Next, Scilab as a free source software provides a function to solve linear programming based on interior-point method, which is called Karmarkar. In this paper, we evaluate some results of Scilab Karmarkar function in solving linear programming problems. We observe that at some cases the results of the Karmarkar function are not as expected.

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Available abstract

The interior-point method is one of the best methods for solving linear programming problems. The interior-point method has a polynomial time complexity for solving linear programming problems. Next, Scilab as a free source software provides a function to solve linear programming based on interior-point method, which is called Karmarkar. In this paper, we evaluate some results of Scilab Karmarkar function in solving linear programming problems. We observe that at some cases the results of the Karmarkar function are not as expected.

Key concepts: Interior point method, Linear programming, Linear-fractional programming, Point (geometry), Function (biology), Computer science, Mathematical optimization, Mathematics

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