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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… 
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Papers overview

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2020
2020
Optimization problems lie at the core of scientific and engineering endeavors. Solutions to these problems are often compute… 
2019
2019
The objective of this chapter is to discuss: The revised simplex methods and their computational procedures The… 
2018
2018
Graphics Processing Units (GPUs) with high computational capabilities used as modern parallel platforms to deal with complex… 
2010
2010
Recently, fuzzy simplex algorithms have been proposed for two kinds of fuzzy linear programming problems such as: 1) linear… 
2006
2006
The comparative analysis on the simplex method and the revised simplex method in solving the equations of the linear program have… 
2005
2005
We revise the dual projective pivot algorithm using sparse rectangular LU factors. In each iteration, the proposed algorithm… 
2005
2005
We introduce a modification of the revised simplex method, which accelerates the process of finding the first basic feasible… 
2000
2000
Based on the Gaussian elimination technique and its relevant theory of the matrix decomposition, a variant of the revised simplex… 
1996
1996
When solving linear programming problems using the revised simplex method, two common variants are the incorporation of minor… 
1977
1977
Some results on the number of operations, that are needed to update the elimination form of the basis inverse of a linear program…