EconPapers    
Economics at your fingertips  
 

Introduction

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

Chapter Chapter 1 in Linear Programming Using MATLAB®, 2017, pp 1-11 from Springer

Abstract: Abstract The Linear Programming (LP) problem is perhaps the most important and well-studied optimization problem. Numerous real world problems can be formulated as Linear Programming problems (LPs). LP algorithms have been used in many fields ranging from airline scheduling to logistics, transportation, decision making, and data mining. This chapter introduces some key features of LP and presents a brief history of LP algorithms. Finally, the reasons of the novelty of this book and its organization are also presented.

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_1

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

DOI: 10.1007/978-3-319-65919-0_1

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 2025-04-01
Handle: RePEc:spr:spochp:978-3-319-65919-0_1