Logo

An Introduction to Nonlinear Optimization Theory

Large book cover: An Introduction to Nonlinear Optimization Theory

An Introduction to Nonlinear Optimization Theory
by

Publisher: De Gruyter Open
ISBN-13: 9783110426045
Number of pages: 328

Description:
The goal of this book is to present the main ideas and techniques in the field of continuous smooth and nonsmooth optimization. Starting with the case of differentiable data and the classical results on constrained optimization problems, and continuing with the topic of nonsmooth objects involved in optimization theory, the book concentrates on both theoretical and practical aspects of this field.

Home page url

Download or read it online for free here:
Download link
(multiple PDF files)

Similar books

Book cover: Iterative Methods for OptimizationIterative Methods for Optimization
by - Society for Industrial Mathematics
This book presents a carefully selected group of methods for unconstrained and bound constrained optimization problems and analyzes them in depth both theoretically and algorithmically. It focuses on clarity in algorithmic description and analysis.
(10757 views)
Book cover: Optimization Algorithms: Methods and ApplicationsOptimization Algorithms: Methods and Applications
by - InTech
This book covers state-of-the-art optimization methods and their applications in wide range especially for researchers and practitioners who wish to improve their knowledge in this field. It covers applications in engineering and various other areas.
(7109 views)
Book cover: Applied Mathematical ProgrammingApplied Mathematical Programming
by - Addison-Wesley
This book shows you how to model a wide array of problems. Covered are topics such as linear programming, duality theory, sensitivity analysis, network/dynamic programming, integer programming, non-linear programming, and my favorite, etc.
(19319 views)
Book cover: Optimization and Dynamical SystemsOptimization and Dynamical Systems
by - Springer
Aimed at mathematics and engineering graduate students and researchers in the areas of optimization, dynamical systems, control systems, signal processing, and linear algebra. The problems solved are those of linear algebra and linear systems theory.
(14146 views)