EconPapers    
Economics at your fingertips  
 

Revised Dual Simplex Algorithm

Nikolaos Ploskas and Nikolaos Samaras
Additional contact information
Nikolaos Ploskas: University of Macedonia
Nikolaos Samaras: University of Macedonia

Chapter Chapter 9 in Linear Programming Using MATLAB®, 2017, pp 383-435 from Springer

Abstract: Abstract In Section 2.6 , we presented the basic duality concepts. This chapter extends these concepts and presents the dual simplex algorithm. The dual simplex algorithm is an attractive alternative for solving linear programming problems (LPs). The dual simplex algorithm is very efficient on many types of problems and is especially useful in integer linear programming. This chapter presents the revised dual simplex algorithm. Numerical examples are presented in order for the reader to understand better the algorithm. Furthermore, an implementation of the algorithm in MATLAB is presented. The implementation is modular allowing the user to select which scaling technique and basis update method will use in order to solve LPs. Finally, a computational study over benchmark LPs and randomly generated sparse LPs is performed in order to compare the efficiency of the proposed implementation with the revised primal simplex algorithm presented in Chapter 8

Date: 2017
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-319-65919-0_9

Ordering information: This item can be ordered from
http://www.springer.com/9783319659190

DOI: 10.1007/978-3-319-65919-0_9

Access Statistics for this chapter

More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-06-06
Handle: RePEc:spr:spochp:978-3-319-65919-0_9