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Can I read Nonlinear Programming and Variational Inequality Problems: A Unified Approach (Applied Optimization (23)) on EtoBox?
Nonlinear Programming and Variational Inequality Problems: A Unified Approach (Applied Optimization (23)) by Michael Patriksson (auth.) is a nonfiction available to read on EtoBox.
What is Nonlinear Programming and Variational Inequality Problems: A Unified Approach (Applied Optimization (23)) about?
Since I started working in the area of nonlinear programming and, later on, variational inequality problems, I have frequently been surprised to find that many algorithms, however scattered in numerous journals, monographs and books, and described rather differently, are closely related to each other. This book is meant to help the reader understand and relate algorithms to each other in some intuitive fashion, and represents, in this respect, a consolidation of the field. The framework of algorithms presented in this book is called Cost Approxi mation. (The preface of the Ph.D. thesis [Pat93d] explains the background to the work that lead to the thesis, and ultimately to this book.) 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 update of the iteration points, and a merit function which guides and monitors the convergence of the algorithm. One purpose of this book is to offer this framework as an intuitively appeal ing tool for describing an algorithm. One of the advantages of the framework, or any reasonable framework for that matter, is that two
Who reads Nonlinear Programming and Variational Inequality Problems: A Unified Approach (Applied Optimization (23))?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Michael Patriksson (auth.)
- Publisher
- Springer US : Imprint : Springer
- Published
- 1999
- Language
- EN
- ISBN
- 9781475729917
- Category
- nonfiction
- Subjects
- Science, Computer Science, Business
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