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Computational Theory of Iterative Methods Studies in Computational Mathematics Series

Langue : Anglais

Auteur :

Couverture de l’ouvrage Computational Theory of Iterative Methods
The book is designed for researchers, students and practitioners interested in using fast and efficient iterative methods to approximate solutions of nonlinear equations. The following four major problems are addressed. Problem 1: Show that the iterates are well defined. Problem 2: concerns the convergence of the sequences generated by a process and the question of whether the limit points are, in fact solutions of the equation. Problem 3: concerns the economy of the entire operations. Problem 4: concerns with how to best choose a method, algorithm or software program to solve a specific type of problem and its description of when a given algorithm succeeds or fails. The book contains applications in several areas of applied sciences including mathematical programming and mathematical economics. There is also a huge number of exercises complementing the theory.
1. Linear Spaces2. Monotone convergence3. Contractive Fixed Point Theory4. Solving Smooth Equations5. Newton-like methods6. More Results on Newton's Method7. Equations with Nonsmooth Operators8. Applications of the weaker version of the Newton-Kantorovich theorem9. The Newton-Kantorovich Theorem and Mathematical Programming10. Generalized equations11. Monotone convergence of point to set-mapping12. Fixed points of point-to-set mappings13. Special topicsBibliographyA Glossary of SymbolsIndex
Primary market(s):
Researchers in the USA

Secondary market(s):
Researchers in Western Europe, South Korea & Japan
Professor Ioannis Argyros (Department of Mathematical Sciences Cameron University, Lawton, OK, USA) has published 329 indexed documents and 25 books. Argyros is interested in theories of inequalities, operators, computational mathematics and iterative methods, and banach spaces.
- Latest convergence results for the iterative methods - Iterative methods with the least computational cost- Iterative methods with the weakest convergence conditions- Open problems on iterative methods