11 edition of Computational Theory of Iterative Methods, Volume 15 (Studies in Computational Mathematics) (Studies in Computational Mathematics) found in the catalog.
October 15, 2007
by Elsevier Science
Written in English
|The Physical Object|
|Number of Pages||504|
Audience: The book supplements standard texts on numerical mathematics for first-year graduate and advanced undergraduate courses and is suitable for advanced graduate classes covering numerical linear algebra and Krylov subspace and multigrid iterative methods. It will be useful to researchers interested in numerical linear algebra and Reviews: 1. A comparison between the iterative method and relaxation method has highlighted and then a total discussion of Rayleigh-Ritz with methods of iteration and relaxation reviewed in this chapter.
Pavarino, L.F. ( a), ‘Schwarz methods with local refinement for the p-version finite element method’, Technical Report TR, Rice University, Department of Computational and Applied Mathematics, submitted to Numer. Math. Journal of Chemical Theory and Computation , 15, 3, (Article) ACS AuthorChoice Publication Date (Web): Janu
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Argyros is interested in theories of inequalities, operators, computational mathematics and iterative methods, and banach spaces. Product details Series: Studies in Computational Mathematics (Volume 15) (Book 15). Purchase Computational Theory of Iterative Methods, Volume 15 - 1st Edition. Print Book & E-Book.
ISBNPrice: $ Computational Theory of Iterative Methods. Edited by Ioannis K. Argyros. Vol Pages () Download full volume. Previous volume. Next volume. Book chapter Full text access Chapter 8 - Applications of the weaker version of the Newton-Kantorovich theorem Pages There is also a huge number of exercises complementing the theory.
This book contains the latest convergence results for the iterative methods: Iterative methods with the least computational cost; Iterative methods with the weakest convergence conditions; and Open problems on iterative methods.
Vol Issue 04 (June ) Review Article. In this paper, we propose fast iterative methods based on the Newton–Raphson–Kantorovich approximation in function space [Bellman and Kalaba, ()] to solve three kinds of the Lane–Emden type problems.
Using the theory of porous media and computational methods, this study. iterative methods for linear systems have made good progress in scientiﬁc an d engi- neering disciplines.
This is due in great part to the increased complexity and size of. Computational simulation of scientific phenomena and engineering problems often depends on solving linear systems with a large number of unknowns.
This book gives insight into the construction of iterative methods for the solution of such systems and helps the reader to select the best solver for a given class of problems.
Read the latest chapters of Studies in Computational Mathematics atElsevier’s leading platform of peer-reviewed scholarly literature Volume pp.
1– () Volume pp. 1– () Volume pp. 1– () View all volumes. Methods Involving Second or Higher Derivatives. J.M. McNamee, V.Y.
Pan. The Federico Santa María Technical University in Valparaíso, Chile, will be hosting the 9th international conference on Computational Methods and Function Theory. Purchase Projection Methods for Systems of Equations, Volume 7 - 1st Edition. Print Book & E-Book. ISBNThe following books are good references for reading: S.
Larsson and V. Thomee, Partial Differential Equations with Numerical Methods, Springer, S.C. Brenner and L.R. Scott. The mathematical theory of finite element methods, vol.
15 of Texts in Applied Mathematics, Springer-Verlag, New York, second edition, A. Ern and J.-L. Guermond. The mathematical theory of finite element methods, vol.
15 of Texts in Applied Mathematics, Springer-Verlag, New York, second edition, Grading Your course grade will be determined by your cumulative average at the end of the term. Archives of Computational Methods in Engineering() Recent computational developments in Krylov subspace methods for linear systems.
Numerical Linear Algebra with Applications An extensively expanded and revised edition of the leading major reference work in computational engineering. The completely updated and extended second edition of Encyclopedia of Computational Mechanics, Second Edition has, once again, been prepared under the guidance of three of the world's foremost experts in the field.
It follows the same structure as the first edition, yet has been. Vol Issue 03 (May ) Research Articles. We develop a general class of derivative free iterative methods with optimal order of convergence in the sense of Kung–Traub hypothesis for solving nonlinear equations. The introduced technique is simpler and shorter in its computational procedures and time than the other methods.
Journal of Computational Physics() An object-oriented C++ implementation of Davidson method for finding a few selected extreme eigenpairs. Get this from a library. Computational theory of iterative methods. [Ioannis K Argyros] -- 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. Iterative methods, play an important role in computational sciences. In this chapter, we present new semilocal and local convergence results for the Newton-Kantorovich method. These new results extend the applicability of the Newton-Kantorovich method on approximate zeros by improving the convergence domain and ratio given in earlier studies.
Among such methods, the third-order iterative methods like the Halley and Chebyshev methods 11 are considered less practically from a computational point of view because. Part of the Studies in Computational Intelligence book series (SCI, volume ) Abstract. We present monotone convergence results for general iterative methods in order to approximate a solution of a nonlinear equation defined on a partially ordered linear topological space.
in Computational Theory of Iterative methods, vol. 15, Series. Some computational results, obtained by an appropriate iterative method, are given at the end of the paper. These results are compared with the results, obtained by the iterative gradient method for the corresponding “differentiable” discrete least squares problems, that is, approximation problems based on discrete -norm.
1.Lecture Notes in Computer Science, vol.Springer Verlagxii + p. Co00 Henri Cohen, A Course in Computational Number Theory. Graduate texts in mathematics, vol.Springer Verlag, 4th ed.xx + p.
deG00 Willem A. de Graaf, Lie Algebras: Theory and Algorithms.Vol - Issue 5. Journal homepage. Views 0 CrossRef citations to date Altmetric Listen. Book Review A review of: “Computational methods of Neutron Transport Theory” Barry D. Ganapol The University o f Arizona, Tucson, Arizona.