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Revised simplex method

Known as: Revised simplex algorithm 
In mathematical optimization, the revised simplex method is a variant of George Dantzig's simplex method for linear programming. The revised simplex… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
In this chapter, we will learn about a method that is mathematically equivalent to the Simplex Method but which can exploit… Expand
2013
2013
This study proposes a novel technique for solving Linear Programming Problems in a fully fuzzy environment. A modified version of… Expand
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2013
2013
The determination of the factors influencing the effectiveness of algorithm visualization poses an interesting research question… Expand
2011
2011
The Simplex algorithm is a well known method to solve linear programming (LP) problems. In this paper, we propose a parallel… Expand
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2010
2010
Recently, fuzzy simplex algorithms have been proposed for two kinds of fuzzy linear programming problems such as: 1) linear… Expand
2005
2005
The revised simplex method is often the method of choice when solving large scale sparse linear programming problems… Expand
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2005
2005
We revise the dual projective pivot algorithm using sparse rectangular LU factors. In each iteration, the proposed algorithm… Expand
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1998
1998
This paper deals with the incremental detection of implicit equalities using the revised simplex method. This algorithm is more… Expand
1977
1977
Subroutine ARSME solves a resource constrained, network scheduling problem for the case in which activities may be arbitrarily… Expand
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Highly Cited
1973
Highly Cited
1973
For linear multiple-objective problems, a necessary and sufficient condition for a point to be efficient is employed in the… Expand