Nonlinear Programming and Variational Inequality Problems - Info and Reading Options
A Unified Approach
By Michael Patriksson
"Nonlinear Programming and Variational Inequality Problems" was published by Springer in 2013 - Boston, MA, it has 334 pages and the language of the book is English.
“Nonlinear Programming and Variational Inequality Problems” Metadata:
- Title: ➤ Nonlinear Programming and Variational Inequality Problems
- Author: Michael Patriksson
- Language: English
- Number of Pages: 334
- Publisher: Springer
- Publish Date: 2013
- Publish Location: Boston, MA
“Nonlinear Programming and Variational Inequality Problems” Subjects and Themes:
- Subjects: ➤ Variational inequalities (Mathematics) - Nonlinear programming - Variatieongelijkheden - Nichtlineare Optimierung - Programação não linear - Approximation - Variationsungleichung - Niet-lineaire programmering - Algorithms - Mathematics - Information theory - Computer science - Mathematical optimization - Optimization - Computational Mathematics and Numerical Analysis - Theory of Computation - Management Science Operations Research
Edition Specifications:
- Pagination: xiv, 336
Edition Identifiers:
- The Open Library ID: OL37423863M - OL1981406W
- ISBN-13: 9781475729917
- All ISBNs: 9781475729917
AI-generated Review of “Nonlinear Programming and Variational Inequality Problems”:
Snippets and Summary:
The variational inequality problem
"Nonlinear Programming and Variational Inequality Problems" Description:
Open Data:
The framework of algorithms presented in this book is called Cost Approximation. It describes, for a given formulation of a variational inequality or nonlinear programming problem, an algorithm by means of approximating mappings and problems, a principle for the updating of the iteration points, and a merit function which guides and monitors the convergence of the algorithm. One purpose of the book is to offer this framework as an intuitively appealing tool for describing an algorithm. Another purpose is to provide a convergence analysis of the algorithms in the framework. Audience: The book will be of interest to all researchers in the field (it includes over 800 references) and can also be used for advanced courses in non-linear optimization with the possibility of being oriented either to algorithm theory or to the numerical aspects of large-scale nonlinear optimization
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