Title
A Monotonic Build-Up Simplex Algorithm for Linear Programming
Abstract
<P>We devise a new simplex pivot rule which has interesting theoretical properties. Beginning with a basic feasible solution, and any nonbasic variable having a negative reduced cost the pivot rule produces a sequence of pivots such that ultimately the originally chosen nonbasic variable enters the basis, and all reduced costs which were originally nonnegative remain nonnegative. The pivot rule thus monotonically builds up to a dual feasible, and hence optimal, basis. A surprising property is that the pivot sequence results in intermediate bases which are neither primal nor dual feasible. We prove the correctness of the procedure, and relate it to other pivoting rules for linear programming.</P>
Year
DOI
Venue
1994
10.1287/opre.42.3.556
Operations Research
Field
DocType
Volume
Linear-fractional programming,Monotonic function,Mathematical optimization,Reduced cost,Simplex algorithm,Correctness,Algorithm,Simplex,Linear programming,Mathematics
Journal
42
Issue
ISSN
Citations 
3
0030-364X
9
PageRank 
References 
Authors
0.76
7
2
Name
Order
Citations
PageRank
Kurt M. Anstreicher163386.40
Tamás Terlaky267765.75