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Optimization and Dynamics with Their Applications

Essays in Honor of Ferenc Szidarovszky
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9789811042140
Veröffentl:
2017
Seiten:
344
Autor:
Akio Matsumoto
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
Beschreibung:

This book presents a variety of advanced research papers in optimization and dynamics written by internationally recognized researchers in these fields. As an example of applying optimization in sport, it introduces a new method for finding the optimal bat sizes in baseball and softball.
Part 1: Operations Research.- Chap. 1 Developments on the convergence of some iterative methods.- Chap. 2 The non-symmetric L-Nash bargaining solution.- Chap. 3 Exploring Efficient Reward Strategies to Encourage Large-Scale Cooperation among Boundedly Rational Players with the Risk and Impact of the Public Good.- Chap. 4 Analyzing the impact of process improvement on lot sizes in JIT environment when capacity utilization follows Beta distribution.- Part II: Dynamics- Chap. 5 Periodicity induced by production constraints in Cournot duopoly models with unimodal reaction curves.- Chap. 6 An Adaptive Learning Model for Competing Firms in an Industry.- Chap. 7 The Coordination and Dynamic Analysis of Industrial Clusters: A Multi-agent Simulation Study.- Chap. 8 Approximation of LPV-systems with constant parametric switching systems.- Chap. 9 Love affairs dynamics with one delay in losing memory or gaining affection.- Part III: Applications.- Chap. 10 Optimizing baseball and softball bats.-Chap. 11 Reverse Logistic Network Design for End-of-Life Wind Turbines.- Chap. 12 Maintenance outsourcing contracts bases on bargaining theory.- Chap. 13 Agricultural production planning in a fuzzy environment.- Chap. 14 Optimal Replacement Decisions with Mound-Shaped Failure Rates.- Chap. 15 A system dynamics approach to simulate the restoration plans of Urmia lake, Iran.- Chap. 16 A decision support system for managing water resources in real-time under uncertainty.

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