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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
A New Method Combining Interior and Exterior Approaches for Linear Programming
Nguyen Ngoc Chu, Pham Canh Duong and Le Thanh Hue
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DOI:10.17265/2159-5291/2015.05.004
1. Institute of Mathematics, 18 Hoang Quoc Viet, Hanoi, Vietnam. 2. Center for Information Infrastructure Development, Vietnamese Academy of Science and Technology, 18 Hoang Quoc Viet, Hanoi, Vietnam. 3. Faculty of Informatics Technology, University of Mining and Geology, Hanoi, Vietnam.
In this paper we present a new method combining interior and exterior approaches to solve linear programming problems. With the assumption that a feasible interior solution to the input system is known, this algorithm uses it and appropriate constraints of the system to construct a sequence of the so called station cones whose vertices tend very fast to the solution to be found. The computational experiments show that the number of iterations of the new algorithm is significantly smaller than that of the second phase of the simplex method. Additionally, when the number of variables and constraints of the problem increase, the number of iterations of the new algorithm increase in a slower manner than that of the simplex method.
Linear programming, simplex method, station cone.
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