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Convergence and Applications of Newton-type Iterations / by Ioannis K. Argyros

Edition 1st ed. 2008.
Publisher (New York, NY : Springer New York : Imprint: Springer)
Year 2008
Language English
Size XVI, 56 p : online resource
Authors *Argyros, Ioannis K author
SpringerLink (Online service)
Subjects LCSH:Numerical analysis
LCSH:Mathematics -- Data processing  All Subject Search
LCSH:Functional analysis
FREE:Numerical Analysis
FREE:Computational Mathematics and Numerical Analysis
FREE:Functional Analysis
Notes Operators and Equations -- The Newton Kantorovich (NK) Method -- Applications of the Weaker Version of the NK Theorem -- Special Methods -- Newton-like Methods -- Analytic Computational Complexity We Are Concerned with the Choice of Initial Approximations -- Variational Inequalities -- Convergence Involving Operators with Outer or Generalized Inverses -- Convergence on Generalized Banach Spaces: Improving Error Bounds and Weakening of Convergence Conditions -- Point to Set Mappings -- The Newton Kantorovich Theorem and Mathematical Programming
Recent results in local convergence and semi-local convergence analysis constitute a natural framework for the theoretical study of iterative methods. This monograph provides a comprehensive study of both basic theory and new results in the area. Each chapter contains new theoretical results and important applications in engineering, modeling dynamic economic systems, input-output systems, optimization problems, and nonlinear and linear differential equations. Several classes of operators are considered, including operators without Lipschitz continuous derivatives, operators with high order derivatives, and analytic operators. Each section is self-contained. Examples are used to illustrate the theory and exercises are included at the end of each chapter. The book assumes a basic background in linear algebra and numerical functional analysis. Graduate students and researchers will find this book useful. It may be used as a self-study reference or as a supplementary text for an advanced course in numerical functional analysis
HTTP:URL=https://doi.org/10.1007/978-0-387-72743-1
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Springer eBooks 9780387727431
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EB00238135

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Material Type E-Book
Classification LCC:QA297-299.4
DC23:518
ID 4000116981
ISBN 9780387727431

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