A Variable-Metric Variant of the Karmarkar Algorithm for Linear Programming

dc.contributor.authorTurner, Kathrynen_US
dc.date.accessioned2018-06-18T17:27:38Zen_US
dc.date.available2018-06-18T17:27:38Zen_US
dc.date.issued1987-05en_US
dc.date.noteMay 1987en_US
dc.descriptionThis work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/16112en_US
dc.description.abstractThe most time-consuming part of the Karmarkar algorithm for linear programming is computation of the step direction, which requires the projection of a vector onto the nullspace of a matrix that changes at each iteration. We present a variant of the Karmarkar algorithm that uses standard variable-metric techniques in an innovative way to approximate this projection. We prove that the modified algorithm that we construct using a step direction obtained from this approximation retains the polynomial-time complexity of the Karmarkar algorithm. We extend applicability of the modified algorithm to the solution of linear programming problems with unknown optimal value, using a construction of monotonic lower bounds on the optimal objective value that approximates the lower bound construction of Todd and Burrell. We show that our modified algorithm for solving problems with unknown optimal value also retains the polynomial-time complexity ofthe Karmarkar algorithm. Computational testing has verified that our modification substantially reduces the number of matrix factorizations needed for the solution of linear programming problems, compared to the number of matrix factorizations required by the Karmarkar algorithm.en_US
dc.format.extent47 ppen_US
dc.identifier.citationTurner, Kathryn. "A Variable-Metric Variant of the Karmarkar Algorithm for Linear Programming." (1987) <a href="https://hdl.handle.net/1911/101624">https://hdl.handle.net/1911/101624</a>.en_US
dc.identifier.digitalTR87-13en_US
dc.identifier.urihttps://hdl.handle.net/1911/101624en_US
dc.language.isoengen_US
dc.titleA Variable-Metric Variant of the Karmarkar Algorithm for Linear Programmingen_US
dc.typeTechnical reporten_US
dc.type.dcmiTexten_US
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