Algorithmic Enhancements to the Method of Centers for Linear Programming Problems

Interior point algorithms for solving linear programming problems are considered. The techniques are derived from a continuous version of Huard's method of centers that yields a family of trajectories in the feasible region that all converge to an optimal solution. The tangential direction of t...

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Bibliographic Details
Published inORSA journal on computing Vol. 1; no. 3; pp. 159 - 171
Main Authors Boggs, Paul T., Domich, Paul D., Donaldson, Janet R., Witzgall, Christoph
Format Journal Article
LanguageEnglish
Published INFORMS 01.08.1989
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Summary:Interior point algorithms for solving linear programming problems are considered. The techniques are derived from a continuous version of Huard's method of centers that yields a family of trajectories in the feasible region that all converge to an optimal solution. The tangential direction of these trajectories is the dual affine direction. Deficiencies in some of these trajectories are discussed, and the need to recenter is argued. Several new algorithms that use the dual affine direction and a recentering direction in a multidirection approach are then derived. The most promising of these algorithms is based on minimizing the cost function on a sequence of two-dimensional cross sections of the feasible region. Numerical results are presented. INFORMS Journal on Computing , ISSN 1091-9856, was published as ORSA Journal on Computing from 1989 to 1995 under ISSN 0899-1499.
ISSN:0899-1499
2326-3245
DOI:10.1287/ijoc.1.3.159