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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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Related topics
Related topics
7 relations
Basis (linear algebra)
Karush–Kuhn–Tucker conditions
Lagrange multiplier
Mathematical optimization
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Broader (2)
Linear programming
Operations research
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
Accelerating Revised Simplex Method Using GPU-Based Basis Update
Usman Ali Shah
,
S. Yousaf
,
Iftikhar Ahmad
,
S. Rehman
,
Muhammad Ovais Ahmad
IEEE Access
2020
Corpus ID: 214623786
Optimization problems lie at the core of scientific and engineering endeavors. Solutions to these problems are often compute…
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2019
2019
Revised Simplex Method
A. Bhunia
,
Laxminarayan Sahoo
,
A. Shaikh
Springer Optimization and Its Applications
2019
Corpus ID: 213711217
The objective of this chapter is to discuss: The revised simplex methods and their computational procedures The…
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2018
2018
Effective Implementation of GPU-based Revised Simplex algorithm applying new memory management and cycle avoidance strategies
Arash Raeisi Gahrouei
,
M. Ghatee
arXiv.org
2018
Corpus ID: 3843635
Graphics Processing Units (GPUs) with high computational capabilities used as modern parallel platforms to deal with complex…
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2016
2016
Revised Simplex Method
T. C. Hu
,
A. Kahng
2016
Corpus ID: 123731231
In this chapter, we will learn about a method that is mathematically equivalent to the Simplex Method but which can exploit…
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2015
2015
Parallelization of Revised Simplex Algorithm on GPUs
Zhicheng Zhong
,
Minghan Feng
,
Duo Liu
International Conference on Network and…
2015
Corpus ID: 17807820
This paper develops a novel Single Instruction Multiple Data (SIMD) Architecture processors (GPUs) based RSA algorithm and…
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2013
2013
A Parallel Implementation of the Revised Simplex Algorithm Using OpenMP: Some Preliminary Results
N. Ploskas
,
N. Samaras
,
K. Margaritis
2013
Corpus ID: 9667985
Linear Programming (LP) is a significant research area in the field of operations research. The simplex algorithm is the most…
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2010
2010
Optimizations for Tensorial Bernstein-Based Solvers by Using Polyhedral Bounds
Christoph Fünfzig
,
D. Michelucci
,
S. Foufou
International journal of shape modeling
2010
Corpus ID: 15552963
The tensorial Bernstein basis for multivariate polynomials in n variables has a number 3n of functions for degree 2. Consequently…
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2005
2005
A Revised Dual Projective Pivot Algorithm for Linear Programming
Pingqi Pan
SIAM Journal on Optimization
2005
Corpus ID: 207052868
We revise the dual projective pivot algorithm using sparse rectangular LU factors. In each iteration, the proposed algorithm…
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1998
1998
Approaches to the Incremental Detection of Implicit Equalities with the Revised Simplex Method
Philippe Refalo
PLILP/ALP
1998
Corpus ID: 45450521
This paper deals with the incremental detection of implicit equalities using the revised simplex method. This algorithm is more…
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1996
1996
PARSMI, a Parallel Revised Simplex Algorithm Incorporating Minor Iterations and Devex Pricing
J. A. J. Hall
,
K. I. M. McKinnon
Workshop on Applied Parallel Computin
1996
Corpus ID: 14009481
When solving linear programming problems using the revised simplex method, two common variants are the incorporation of minor…
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