Nonconvex Optimization is a multi-disciplinary research field that deals withthe characterization and computation of local/global minima/maxima of nonnlinear, 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 papers in the area of nonconvex optimization from researchers practicing in India. It aims to bring together new concepts, theoretical developments, and applications from these researchers. Both theoretical andapplied articles are contained in this volume which adds to the state of the art research in this field. Recent Contributions in Nonconvex Optimization from India is suitable for advanced graduate students and researchers in this area. Contributions are peer-reviewed to ensure quality. Brings together new content, theoretical developments and applications. Contains articles on both theory and application INDICE: Some Equivalences among Nonlinear Complementarity Problems, Least-Element Problems and Variational Inequality Problems in Ordered Spaces. QamrulHasan 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 NonsmoothOptimization. Anulekha Dhara and Aparna Mehra. An Application of the ModifiedSubgradient Method for Solving Fuzzy Linear Fractional Programming Problem. Pankaj Gupta and Mukesh Kumar Mehlawat. On Sufficient Optimality Conditions forSemi-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.
- ISBN: 978-1-4419-9639-8
- Editorial: Springer New York
- Encuadernacion: Cartoné
- Páginas: 285
- Fecha Publicación: 29/07/2011
- Nº Volúmenes: 1
- Idioma: Inglés