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Optimization Methods, Theory and Applications / edited by Honglei Xu, Song Wang, Soon-Yi Wu.

Springer Nature - Springer Mathematics and Statistics eBooks 2015 English International Available online

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Format:
Book
Contributor:
Xu, Honglei, Editor.
Wang, Song, Editor.
Wu, Soon-Yi., Editor.
Language:
English
Subjects (All):
Mathematical optimization.
Operations research.
Decision making.
Software engineering.
Optimization.
Operations Research/Decision Theory.
Software Engineering/Programming and Operating Systems.
Local Subjects:
Optimization.
Operations Research/Decision Theory.
Software Engineering/Programming and Operating Systems.
Physical Description:
1 online resource (212 p.)
Edition:
1st ed. 2015.
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
Language Note:
English
Summary:
This book presents the latest research findings and state-of-the-art solutions on optimization techniques and provides new research direction and developments. Both the theoretical and practical aspects of the book will be much beneficial to experts and students in optimization and operation research community. It selects high quality papers from The International Conference on Optimization: Techniques and Applications (ICOTA2013). The conference is an official conference series of POP (The Pacific Optimization Research Activity Group; there are over 500 active members). These state-of-the-art works in this book authored by recognized experts will make contributions to the development of optimization with its applications.
Contents:
Analyzing Human Walking Using Dynamic Optimization
Rearrangement Optimization Problems Related to A Class of Elliptic Boundary Value Problems
An Extension of the MOON2/MOON2R Approach to Many-objective Optimization Problems
Existence of Solutions For Variational-Like Hemivariational Inequalities Involving Lower Semicontinuous Maps
An Iterative Algorithm for Split Common Fixed-point Problem for Demicontractive Mappings
On Constraint Qualifications for Multiobjective Optimization Problems with Vanishing Constraints
A New Hybrid Optimization Algorithm for the Estimation of Archie Parameters
Optimization of Multivariate Inverse Mixing Problems with Application to Neural Metabolite Analysis
Exact Regularization, and Its Connections to Normal Cone Identity and Weak Sharp Minima in Nonlinear Programming
The worst-case DFT filter bank design with subchannel variations.
Notes:
Description based upon print version of record.
Includes bibliographical references.
ISBN:
3-662-47044-6

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