EconPapers    
Economics at your fingertips  
 

Linear Programming

Mikuláš Luptáčik () and Klaus Prettner
Additional contact information
Mikuláš Luptáčik: WU Vienna University of Economics and Business, Department of Economics

Chapter 4 in Mathematical Optimization and Economic Analysis, 2026, pp 97-147 from Springer

Abstract: Abstract This chapter addresses the most widely used subclass of convex programming: linear programming. After introducing the general formulation, it explores its economic interpretation, duality theory, and computational aspects such as the simplex method with its intuitive economic explanation. Applications include international trade models (the concept of comparative advantage), the Giffen paradox, the paradox of “more for less,” and environmental input–output analysis in terms of the Leontief pollution model. The linear structure facilitates both theoretical insights and empirical analysis, making linear programming indispensable in economic studies.

Date: 2026
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:978-1-0716-5076-9_4

Ordering information: This item can be ordered from
http://www.springer.com/9781071650769

DOI: 10.1007/978-1-0716-5076-9_4

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 2026-06-28
Handle: RePEc:spr:spochp:978-1-0716-5076-9_4