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Nonlinear analysis and optimization proceedings of the international conference held in Bologna, Italy, May 3-7, 1982 by

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Published by Springer-Verlag in Berlin, New York .
Written in English


  • Mathematical analysis -- Congresses.,
  • Nonlinear theories -- Congresses.,
  • Mathematical optimization -- Congresses.

Book details:

Edition Notes

Includes bibliographies.

Statementedited by C. Vinti.
SeriesLecture notes in mathematics ;, 1107, Lecture notes in mathematics (Springer-Verlag) ;, 1107.
ContributionsVinti, C. 1926-
LC ClassificationsQA3 .L28 no. 1107, QA299.6 .L28 no. 1107
The Physical Object
Paginationiv, 214 p. :
Number of Pages214
ID Numbers
Open LibraryOL2863834M
ISBN 100387139036
LC Control Number84026794

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Optimization is a rich and thriving mathematical discipline. The theory underlying current computational optimization techniques grows ever more sophisticated. The powerful and elegant language of convex analysis unifies much of this theory. The aim of this book is to provide a concise, accessible. But it will also bring added attraction to the study of optimization because it reveals so much of its abstract structural base." "The book is divided into 11 chapters and provides a comprehensive presentation of the main features of convex analysis and nonlinear by: Nonlinear analysis generally falls into the following three categories. 1. Geometric nonlinearity – This is where a component experiences large deformations and as a result can cause the component to experience nonlinear behavior. A typical example is a fishing rod. 2. Material nonlinearity – When the component goes beyond the yield limit the stress/strain relationship becomes nonlinear. "This book offers a very good introduction to differentiable and nondifferentiable nonlinear optimization theory and methods. With no doubt the major strength of this book is the clear and intuitive structure and systematic style of presentation.

From the book reviews: “This is a collection of survey papers on some topics in nonlinear functional analysis–best approximation, optimization, fixed point theory, monotone operators and variational inequalities, equilibrium problems. . convex analysis and nonlinear optimization Download convex analysis and nonlinear optimization or read online books in PDF, EPUB, Tuebl, and Mobi Format. Click Download or Read Online button to get convex analysis and nonlinear optimization book now. This site is like a library, Use search box in the widget to get ebook that you want. Nonlinear Analysis focuses on papers that address significant problems in Nonlinear Analysis that have a sustainable and important impact on the development of new directions in the theory as well as potential applications. Review articles on important topics in Nonlinear Analysis are welcome as well. Choi and Kim (), Structural Sensitivity Analysis and Optimization I: Linear Systems, Springer, NY Choi and Kim (), Structural Sensitivity Analysis and Optimization II: Nonlinear Systems and Applications, Springer, NY Book Chapters. Amazon Author Page for Nam-Ho Kim.

Eigenvalue Perturbations and Nonlinear Parametric Optimization (B. Gollan). Curvilinear Path and Trust Region in Unconstrained Optimization: A Convergence Analysis (J.P. Bulteau and J.P. Vial). Numerical Methods for Nondifferentiable Convex Optimization (A. Auslender). A Reduced Subgradient Algorithm (A. Bihain, V.H. Nguyen, J.-J. Strodiot). The theory of the best approximation is applicable in a variety of problems arising in nonlinear functional analysis and optimization. This book highlights interesting aspects of nonlinear analysis and optimization together with many applications in the areas of physical and social sciences including engineering. "This book is dedicated to Professor Hoang Tuy on the occasion of his sixtieth birthday"--Foreword. Spine title: Nonlinear analysis and optimization problems. Description: pages: illustrations ; 22 cm: Other Titles: Nonlinear analysis and optimization problems. A cornerstone of modern optimization and analysis, convexity pervades applications ranging through engineering and computation to finance. This concise introduction to convex analysis and its extensions aims at first year graduate students, and includes many guided exercises.