Abstract
We analyze the effect of adding and deleting a constraint of the linear program on the position of the central point, the “distance” to the path, and the change in the barrier function value. Based on these results we propose a column generation and deletion variant of the logarithmic barrier method for linear programming. The algorithm starts with a (small) subset of the dual constraints, and follows the corresponding central path until the iterate is close to or violates one of the constraints, which is in turn added to the current system. It also has the possibility of deleting constraints which are likely to be nonbinding in the optimal solutions. A complexity analysis for this algorithm will be given.
This work is completed with the support of a research grant from SHELL.
On leave from the Eötvös University, Budapest, and partially supported by OTKA No. 2116.
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© 1994 Kluwer Academic Publishers
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Den Hertog, D., Roos, C., Terlaky, T. (1994). Adding and Deleting Constraints in the Logarithmic Barrier Method for LP. In: Du, DZ., Sun, J. (eds) Advances in Optimization and Approximation. Nonconvex Optimization and Its Applications, vol 1. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-3629-7_8
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DOI: https://doi.org/10.1007/978-1-4613-3629-7_8
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