Convex Programming
Mikuláš Luptáčik () and
Klaus Prettner
Additional contact information
Mikuláš Luptáčik: WU Vienna University of Economics and Business, Department of Economics
Chapter 3 in Mathematical Optimization and Economic Analysis, 2026, pp 67-95 from Springer
Abstract:
Abstract Convexity is a central property for ensuring tractability in optimization problems and the uniqueness of the obtained solutions. This chapter elaborates on the significance of convex sets and functions in economic modeling. It discusses how diminishing marginal rates of substitution in consumer theory and of technical substitution in the theory of the firm translate into convex preferences and production sets. The key properties of convex programming problems are outlined, including the existence, uniqueness, and global nature of optima. Finally, the concept of duality is introduced and an economic interpretation of duality in convex programming is provided.
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_3
Ordering information: This item can be ordered from
http://www.springer.com/9781071650769
DOI: 10.1007/978-1-0716-5076-9_3
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 ().