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20140310152705.0 |
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120719s2013 xxu| s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781441961235 |
|
978-1-4419-6123-5 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
HD30.23 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
658.40301 |
| Edition number |
23 |
| 264 #1 - |
|---|
| -- |
New York, NY : |
| -- |
Springer New York : |
| -- |
Imprint: Springer, |
| -- |
2013. |
| 912 ## - |
|---|
| -- |
ZDB-2-SBE |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Gabriel, Steven A. |
| Relator term |
author. |
| 245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE |
|---|
| Title |
Complementarity Modeling in Energy Markets |
| Medium |
[electronic resource] / |
| Statement of responsibility, etc |
by Steven A. Gabriel, Antonio J. Conejo, J. David Fuller, Benjamin F. Hobbs, Carlos Ruiz. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
XXVI, 629 p. 41 illus. |
| Other physical details |
online resource. |
| 440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE |
|---|
| Title |
International Series in Operations Research & Management Science, |
| International Standard Serial Number |
0884-8289 ; |
| Volume number/sequential designation |
180 |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Introduction and Motivation -- Optimality and Complementarity -- Some Microeconomic Principles -- Equilibria and Complementarity Problems -- Variational Inequality Problems -- Optimization Problems Constrained by Optimization Problems -- Equilibrium Problems with Equilibrium Constraints -- Algorithm for LCPs, NCPs, and VIs -- Some Advanced Algorithms for VI Decomposition, MPCCs and EPECs -- Natural Gas Market Modeling -- Electricity and Environmental Markets -- Multicommodity Equilibrium Models: Accounting for Demand-Side Linkages. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
This addition to the ISOR series introduces complementarity models in a straightforward and approachable manner and uses them to carry out an in-depth analysis of energy markets, including formulation issues and solution techniques. In a nutshell, complementarity models generalize: a. optimization problems via their Karush-Kuhn-Tucker conditions b. non-cooperative games in which each player may be solving a separate but related optimization problem with potentially overall system constraints (e.g., market-clearing conditions) c. economic and engineering problems that aren’t specifically derived from optimization problems (e.g., spatial price equilibria) d. problems in which both primal and dual variables (prices) appear in the original formulation (e.g., The National Energy Modeling System (NEMS) or its precursor, PIES). As such, complementarity models are a very general and flexible modeling format. A natural question is why concentrate on energy markets for this complementarity approach? As it turns out, energy or other markets that have game theoretic aspects are best modeled by complementarity problems. The reason is that the traditional perfect competition approach no longer applies due to deregulation and restructuring of these markets and thus the corresponding optimization problems may no longer hold. Also, in some instances it is important in the original model formulation to involve both primal variables (e.g., production) as well as dual variables (e.g., market prices) for public and private sector energy planning. Traditional optimization problems can not directly handle this mixing of primal and dual variables but complementarity models can and this makes them all that more effective for decision-makers. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Economics. |
|
|---|
| Topical term or geographic name as entry element |
Finance. |
|
|---|
| Topical term or geographic name as entry element |
Operations research. |
|
|---|
| Topical term or geographic name as entry element |
Economics/Management Science. |
|
|---|
| Topical term or geographic name as entry element |
Operation Research/Decision Theory. |
|
|---|
| Topical term or geographic name as entry element |
Financial Economics. |
|
|---|
| Topical term or geographic name as entry element |
Operations Research, Management Science. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Conejo, Antonio J. |
| Relator term |
author. |
|
|---|
| Personal name |
Fuller, J. David. |
| Relator term |
author. |
|
|---|
| Personal name |
Hobbs, Benjamin F. |
| Relator term |
author. |
|
|---|
| Personal name |
Ruiz, Carlos. |
| Relator term |
author. |
| 710 2# - ADDED ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY |
|---|
| Title |
Springer eBooks |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Display text |
Printed edition: |
| International Standard Book Number |
9781441961228 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
http://dx.doi.org/10.1007/978-1-4419-6123-5 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
E-Book |
