Kuhn–Tucker Conditions
Mikuláš Luptáčik ()
Additional contact information
Mikuláš Luptáčik: Vienna University of Economics and Business Administration
Chapter 2 in Mathematical Optimization and Economic Analysis, 2010, pp 25-58 from Springer
Abstract:
Abstract In this chapter, necessary conditions for optimality of solution points in mathematical programming problems will be studied. Because of the orientation of this book to present optimization theory as an instrument for qualitative economic analysis, the theory to be described is not immediately concerned with computational aspects of solution techniques, which can be found in many excellent books on mathematical programming, e.g., [11, 12, 27, 23, 3].
Keywords: Lagrange Function; Marginal Revenue; Regulatory Constraint; Mathematical Programming Problem; Natural Monopoly (search for similar items in EconPapers)
Date: 2010
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:978-0-387-89552-9_2
Ordering information: This item can be ordered from
http://www.springer.com/9780387895529
DOI: 10.1007/978-0-387-89552-9_2
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 ().