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Please use this identifier to cite or link to this item: http://hdl.handle.net/1813/5504
Title: An Accelerated Interior Point Method Whose Running Time Depends Only on A
Authors: Vavasis, Stephen A.
Ye, Yinyu
Keywords: theory center
Issue Date: Oct-1993
Publisher: Cornell University
Citation: http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.tc/93-155
Abstract: We propose a "layered-step" interior point (LIP) algorithm for linear programming. This algorithm follows the central path, either with shortsteps or with a new type of step called a "layered least squares" (LLS)step. The algorithm returns the exact global minimum after a finite numberof steps - in particular, after O (mathematical symbol omitted) iterations, where c(A) is a function of the coefficient matrix. The LLS steps can be thought of as accelerating a path-following interior point method whenever near-degeneracies occur. One consequence of the new method is a new characterization of the central path: we show that it composed of at most n-squared alternating straight and curved segments. If the LIP algorithm is applied to integer data, we get as another corollary a new proof of a well-known theorom by Tardos that linear programming can be solved in strongly polynomial time provided that A contains small-integerentries.
URI: http://hdl.handle.net/1813/5504
Appears in Collections:Cornell Theory Center Technical Reports

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