Refined Iterative Methods for Computation of the Solution and the Eigenvalues of Self-Adjoint Boundary Value Problems
Author: ENGELI
Publisher: Birkhäuser
Published: 2012-12-06
Total Pages: 107
ISBN-13: 3034872240
DOWNLOAD EBOOK →Author: ENGELI
Publisher: Birkhäuser
Published: 2012-12-06
Total Pages: 107
ISBN-13: 3034872240
DOWNLOAD EBOOK →Author: 3Island Press
Publisher:
Published: 1959-01-01
Total Pages: 112
ISBN-13: 9783034872256
DOWNLOAD EBOOK →Author: M. Engeli
Publisher: Birkhauser
Published: 1980-01-01
Total Pages: 108
ISBN-13: 9780817600983
DOWNLOAD EBOOK →Author: Alston Scott Householder
Publisher:
Published: 1972
Total Pages: 552
ISBN-13:
DOWNLOAD EBOOK →Author: C. Brezinski
Publisher: Elsevier
Published: 2012-12-02
Total Pages: 512
ISBN-13: 0444598588
DOWNLOAD EBOOK →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
Published: 2011-01-01
Total Pages: 292
ISBN-13: 9781611970739
DOWNLOAD EBOOK →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 Each chapter was updated by shortening or deleting outdated topics, adding topics of more recent interest, and adapting the Notes and References section.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.