Topics in Nonconvex Optimization Theory and Applications

Nonconvex Optimization is a multi-disciplinary research field that deals with the characterization and computation of local/global minima/maxima of nonlinear, nonconvex, nonsmooth, discrete and continuous functions. Nonconvex optimization problems are frequently encountered in modeling real world sy...

Full description

Bibliographic Details
Other Authors: Mishra, Shashi K. (Editor)
Format: eBook
Language:English
Published: New York, NY Springer New York 2011, 2011
Edition:1st ed. 2011
Series:Nonconvex Optimization and Its Applications
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
LEADER 04104nmm a2200337 u 4500
001 EB000362910
003 EBX01000000000000000215962
005 00000000000000.0
007 cr|||||||||||||||||||||
008 130626 ||| eng
020 |a 9781441996404 
100 1 |a Mishra, Shashi K.  |e [editor] 
245 0 0 |a Topics in Nonconvex Optimization  |h Elektronische Ressource  |b Theory and Applications  |c edited by Shashi K. Mishra 
250 |a 1st ed. 2011 
260 |a New York, NY  |b Springer New York  |c 2011, 2011 
300 |a XVIII, 270 p  |b online resource 
505 0 |a Some Equivalences among Nonlinear Complementarity Problems, Least-Element Problems and Variational Inequality Problems in Ordered Spaces. Qamrul Hasan Ansari and Jen-Chih Yao -- Generalized Monotone Maps and Complementarity Problems. S. K. Neogy and A. K. Das -- Optimality Conditions Without Continuity in Multivalued Optimization using Approximations as Generalized Derivatives. Phan Quoc Khanh and Nguyen Dinh Tuan -- Variational Inequality and Complementarity Problem. Sudarsan Nanda -- A Derivative for Semi-preinvex Functions and its Applications in Semi-preinvex Programming. Y.X. Zhao, S.Y. Wang, L.Coladas Uria, S.K. Mishra -- Proximal Proper Saddle Points in Set-Valued Optimization. C. S. Lalitha and R. Arora -- Metric Regularity and Optimality Conditions in Nonsmooth Optimization. Anulekha Dhara and Aparna Mehra -- An Application of the Modified Subgradient Method for Solving Fuzzy Linear Fractional Programming Problem. Pankaj Gupta and Mukesh Kumar Mehlawat -- On Sufficient Optimality Conditions for Semi-infinite Discrete Minmax Fractional Programming Problems under Generalized V-Invexity. S. K. Mishra, Kin Keung Lai, Sy-Ming Guu and Kalpana Shukla -- Ekeland type Variational Principles and Equilibrium Problems. Qamrul Hasan Ansari and Lai-Jiu Lin -- Decomposition Methods Based on Augmented Lagrangians: A Survey. Abdelouahed Hamdi and Shashi K. Mishra -- Second Order Symmetric Duality with Generalized Invexity. S.K. Padhan and C. Nahak -- A Dynamic Solution Concept to Cooperative Games with Fuzzy Coalitions. Surajit Borkotokey -- Characterizations of the Solution Sets and Sufficient Optimality Criteria via Higher Order Strong Convexity. Pooja Arora, Guneet Bhatia and Anjana Gupta -- Variational Inequalities and Optimistic Bilevel Programming Problem Via Convexifactors.Bhawna Kohli -- On Efficiency in Nondifferentiable Multiobjective Optimization Involving Pseudo D-Univex Functions; Duality. J. S. Rautela and Vinay Singh -- Index 
653 |a Operations Research, Management Science 
653 |a Operations research 
653 |a Optimization 
653 |a Management science 
653 |a Calculus of Variations and Optimization 
653 |a Mathematical optimization 
653 |a Calculus of variations 
041 0 7 |a eng  |2 ISO 639-2 
989 |b Springer  |a Springer eBooks 2005- 
490 0 |a Nonconvex Optimization and Its Applications 
028 5 0 |a 10.1007/978-1-4419-9640-4 
856 4 0 |u https://doi.org/10.1007/978-1-4419-9640-4?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 003 
520 |a Nonconvex Optimization is a multi-disciplinary research field that deals with the characterization and computation of local/global minima/maxima of nonlinear, nonconvex, nonsmooth, discrete and continuous functions. Nonconvex optimization problems are frequently encountered in modeling real world systems for a very broad range of applications including engineering, mathematical economics, management science, financial engineering, and social science. This contributed volume consists of selected contributions from the Advanced Training Programme on Nonconvex Optimization and Its Applications held at Banaras Hindu University in March 2009. It aims to bring together new concepts, theoretical developments, and applications from these researchers. Both theoretical and applied articles are contained in this volume which adds to the state of the art research in this field. Topics in Nonconvex Optimization is suitable for advanced graduate students and researchers in thisarea.