Cantitate/Preț
Produs
Total produse
Vezi coșul
Topics in Nonconvex Optimization: Theory and Applications de Shashi K. Mishra

Topics in Nonconvex Optimization: Theory and Applications: Nonconvex Optimization and Its Applications, cartea 50

Editat de Shashi K. Mishra
en Limba Engleză Paperback – 15 iul 2013
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.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 58361 lei  43-57 zile
  Springer – 15 iul 2013 58361 lei  43-57 zile
Hardback (1) 64579 lei  43-57 zile
  Springer – 30 mai 2011 64579 lei  43-57 zile

Din seria Nonconvex Optimization and Its Applications

Preț: 58361 lei

Preț vechi: 68660 lei
-15% Nou

Puncte Express: 875
Preț estimativ în valută:
11168€ • 11689$ • 9295£

Carte tipărită la comandă

Livrare economică 31 martie-14 aprilie

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781461428893
ISBN-10: 1461428890
Pagini: 288
Ilustrații: XVIII, 270 p.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.41 kg
Ediția:2011
Editura: Springer
Colecția Springer
Seria Nonconvex Optimization and Its Applications

Locul publicării:New York, NY, United States

Public țintă

Graduate

Cuprins

 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.

Textul de pe ultima copertă

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. 

Caracteristici

Contributions are peer-reviewed to ensure quality. Brings together new content, theoretical developments and applications. Contains articles on both theory and application. Includes supplementary material: sn.pub/extras