Equilibria and Complementarity Problems
Steven A. Gabriel,
Antonio J. Conejo,
J. David Fuller,
Benjamin F. Hobbs and
Carlos Ruiz
Additional contact information
Steven A. Gabriel: University of Maryland
Antonio J. Conejo: University of Castilla – La Mancha
J. David Fuller: University of Waterloo
Benjamin F. Hobbs: The Johns Hopkins University
Carlos Ruiz: European Foundation for New Energy – EDF École Centrale Paris and Supélec
Chapter Chapter 4 in Complementarity Modeling in Energy Markets, 2013, pp 127-179 from Springer
Abstract:
Abstract In this chapter, we explore the notions of equilibria and optimization and show how in some cases they are related. The notion of an equilibrium is a fundamental concept that has been used in a variety of disciplines such as economics, engineering, and science to name just a few. At its core, an equilibrium is a state of the system being modeled for which the system has no “incentive” to change. These incentives can be monetary in the case of economics or based on natural forces and scientific laws such as total input equals total output. Some well-known engineering examples include: conservation of energy, conservation of mass, conservation of momentum [8], steady-state probabilities in Markov chains such as birth-and-death processes [53] to name a few. These and other engineering examples are typified by a balancing of forces or conditions so that the state once reached will not easily (if at all) be left.
Keywords: Nash Equilibrium; Variational Inequality; Equilibrium Problem; Complementarity Problem; Linear Complementarity Problem (search for similar items in EconPapers)
Date: 2013
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:isochp:978-1-4419-6123-5_4
Ordering information: This item can be ordered from
http://www.springer.com/9781441961235
DOI: 10.1007/978-1-4419-6123-5_4
Access Statistics for this chapter
More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().