On the generalized path-following methods for linear programming

R. L. Sheu; S. C. Fang

doi:10.1080/02331939408843987

On the generalized path-following methods for linear programming

R. L. Sheu, S. C. Fang

Department of Mathematics

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

In this paper, we study a general path-following model for linear programming. Generalized barrier functions for linear programming are defined to create an ideal interior trajectory for path-following. The key components required for a generic algorithm, including the moving directions and criterion of closeness are discussed. A generic path-following algorithm is proposed and sufficient conditions for convergence and polynomality proofs are derived.

Original language	English
Pages (from-to)	235-249
Number of pages	15
Journal	Optimization
Volume	30
Issue number	3
DOIs	https://doi.org/10.1080/02331939408843987
Publication status	Published - 1994 Jan 1

All Science Journal Classification (ASJC) codes

Control and Optimization
Management Science and Operations Research
Applied Mathematics

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