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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… 
2016
2016
In this chapter, we will learn about a method that is mathematically equivalent to the Simplex Method but which can exploit… 
2015
2015
This paper develops a novel Single Instruction Multiple Data (SIMD) Architecture processors (GPUs) based RSA algorithm and… 
2013
2013
Linear Programming (LP) is a significant research area in the field of operations research. The simplex algorithm is the most… 
2010
2010
The tensorial Bernstein basis for multivariate polynomials in n variables has a number 3n of functions for degree 2. Consequently… 
2005
2005
We revise the dual projective pivot algorithm using sparse rectangular LU factors. In each iteration, the proposed algorithm… 
1998
1998
This paper deals with the incremental detection of implicit equalities using the revised simplex method. This algorithm is more… 
1996
1996
When solving linear programming problems using the revised simplex method, two common variants are the incorporation of minor…