Refined Iterative Methods for Computation of the Solution and the Eigenvalues of Self-Adjoint Boundary Value Problems PDF Download
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Author: ENGELI
Publisher: Birkhäuser
ISBN: 3034872240
Category : Science
Languages : en
Pages : 107
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Book Description
Author: ENGELI
Publisher: Birkhäuser
ISBN: 3034872240
Category : Science
Languages : en
Pages : 107
Get Book Here
Book Description
Author: 3Island Press
Publisher:
ISBN: 9783034872256
Category :
Languages : en
Pages : 112
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Book Description
Author: M. Engeli
Publisher: Birkhauser
ISBN: 9780817600983
Category :
Languages : en
Pages : 108
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
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Author: METHODS.
Publisher:
ISBN:
Category :
Languages : en
Pages : 107
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Author:
Publisher:
ISBN:
Category : Boundary value problems
Languages : en
Pages :
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Book Description
Author: Alston Scott Householder
Publisher:
ISBN:
Category : Algebra
Languages : en
Pages : 552
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Book Description
Author: C. Brezinski
Publisher: Elsevier
ISBN: 0444598588
Category : Mathematics
Languages : en
Pages : 512
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Book Description
Numerical analysis has witnessed many significant developments in the 20th century. This book brings together 16 papers dealing with historical developments, survey papers and papers on recent trends in selected areas of numerical analysis, such as: approximation and interpolation, solution of linear systems and eigenvalue problems, iterative methods, quadrature rules, solution of ordinary-, partial- and integral equations. The papers are reprinted from the 7-volume project of the Journal of Computational and Applied Mathematics on '/homepage/sac/cam/na2000/index.htmlNumerical Analysis 2000'. An introductory survey paper deals with the history of the first courses on numerical analysis in several countries and with the landmarks in the development of important algorithms and concepts in the field.
Author: Yousef Saad
Publisher: SIAM
ISBN: 9781611970739
Category : Mathematics
Languages : en
Pages : 292
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Book Description
This revised edition discusses numerical methods for computing eigenvalues and eigenvectors of large sparse matrices. It provides an in-depth view of the numerical methods that are applicable for solving matrix eigenvalue problems that arise in various engineering and scientific applications. Each chapter was updated by shortening or deleting outdated topics, adding topics of more recent interest, and adapting the Notes and References section. Significant changes have been made to Chapters 6 through 8, which describe algorithms and their implementations and now include topics such as the implicit restart techniques, the Jacobi-Davidson method, and automatic multilevel substructuring.
