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Author : B.T. Smith
Publisher : Springer
ISBN 13 : 3540380043
Total Pages : 398 pages
Book Rating : 4.5/5 (43 download)
Download or read book Matrix Eigensystem Routines - EISPACK Guide written by B.T. Smith and published by Springer. This book was released on 2013-06-29 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Brian T. Smith
Publisher : Springer
ISBN 13 :
Total Pages : 406 pages
Book Rating : 4.3/5 (91 download)
Download or read book Matrix Eigensystem Routines written by Brian T. Smith and published by Springer. This book was released on 1974 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : B. S. Garbow
Publisher : Lecture Notes in Computer Scie
ISBN 13 :
Total Pages : 364 pages
Book Rating : 4.3/5 (91 download)
Download or read book Matrix Eigensystem Routines written by B. S. Garbow and published by Lecture Notes in Computer Scie. This book was released on 1977 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Brian T. Smith
Publisher : Springer
ISBN 13 :
Total Pages : 582 pages
Book Rating : 4.3/5 (91 download)
Download or read book Eispack Guide written by Brian T. Smith and published by Springer. This book was released on 1976 with total page 582 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Yousef Saad
Publisher : SIAM
ISBN 13 : 9781611970739
Total Pages : 292 pages
Book Rating : 4.9/5 (77 download)
Download or read book Numerical Methods for Large Eigenvalue Problems written by Yousef Saad and published by SIAM. This book was released on 2011-01-01 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Each chapter was updated by shortening or deleting outdated topics, adding topics of more recent interest, and adapting the Notes and References section.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.
Author : Gene H. Golub
Publisher : JHU Press
ISBN 13 : 1421407949
Total Pages : 781 pages
Book Rating : 4.4/5 (214 download)
Download or read book Matrix Computations written by Gene H. Golub and published by JHU Press. This book was released on 2013-02-15 with total page 781 pages. Available in PDF, EPUB and Kindle. Book excerpt: This revised edition provides the mathematical background and algorithmic skills required for the production of numerical software. It includes rewritten and clarified proofs and derivations, as well as new topics such as Arnoldi iteration, and domain decomposition methods.
Author : David S. Watkins
Publisher : SIAM
ISBN 13 : 9780898717808
Total Pages : 452 pages
Book Rating : 4.7/5 (178 download)
Download or read book The Matrix Eigenvalue Problem written by David S. Watkins and published by SIAM. This book was released on 2007-01-01 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first in-depth, complete, and unified theoretical discussion of the two most important classes of algorithms for solving matrix eigenvalue problems: QR-like algorithms for dense problems and Krylov subspace methods for sparse problems. The author discusses the theory of the generic GR algorithm, including special cases (for example, QR, SR, HR), and the development of Krylov subspace methods. This book also addresses a generic Krylov process and the Arnoldi and various Lanczos algorithms, which are obtained as special cases. Theoretical and computational exercises guide students, step by step, to the results. Downloadable MATLAB programs, compiled by the author, are available on a supplementary Web site. Readers of this book are expected to be familiar with the basic ideas of linear algebra and to have had some experience with matrix computations. Ideal for graduate students, or as a reference book for researchers and users of eigenvalue codes.
Author : B. T. Smith
Publisher :
ISBN 13 : 9783662189795
Total Pages : 404 pages
Book Rating : 4.1/5 (897 download)
Download or read book Matrix Eigensystem Routines - Eispack Guide written by B. T. Smith and published by . This book was released on 2014-01-15 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : G. W. Stewart
Publisher : SIAM
ISBN 13 : 0898715032
Total Pages : 489 pages
Book Rating : 4.8/5 (987 download)
Download or read book Matrix Algorithms written by G. W. Stewart and published by SIAM. This book was released on 2001-08-30 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the second volume in a projected five-volume survey of numerical linear algebra and matrix algorithms. It treats the numerical solution of dense and large-scale eigenvalue problems with an emphasis on algorithms and the theoretical background required to understand them. The notes and reference sections contain pointers to other methods along with historical comments. The book is divided into two parts: dense eigenproblems and large eigenproblems. The first part gives a full treatment of the widely used QR algorithm, which is then applied to the solution of generalized eigenproblems and the computation of the singular value decomposition. The second part treats Krylov sequence methods such as the Lanczos and Arnoldi algorithms and presents a new treatment of the Jacobi-Davidson method. These volumes are not intended to be encyclopedic, but provide the reader with the theoretical and practical background to read the research literature and implement or modify new algorithms.
Author : Kanti Bhushan Datta
Publisher : PHI Learning Pvt. Ltd.
ISBN 13 : 8120352866
Total Pages : 717 pages
Book Rating : 4.1/5 (23 download)
Download or read book MATRIX AND LINEAR ALGEBRA AIDED WITH MATLAB, Third Edition written by Kanti Bhushan Datta and published by PHI Learning Pvt. Ltd.. This book was released on 2016-12-01 with total page 717 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the inclusion of applications of singular value decomposition (SVD) and principal component analysis (PCA) to image compression and data analysis, this edition provides a strong foundation of linear algebra needed for a higher study in signal processing. The use of MATLAB in the study of linear algebra for a variety of computational purposes and the programmes provided in this text are the most attractive features of this book which strikingly distinguishes it from the existing linear algebra books needed as pre-requisites for the study of engineering subjects. This book is highly suitable for undergraduate as well as postgraduate students of mathematics, statistics, and all engineering disciplines. The book will also be useful to Ph.D. students for relevant mathematical resources. NEW TO THIS EDITION The Third Edition of this book includes: • Simultaneous diagonalization of two diagonalizable matrices • Comprehensive exposition of SVD with applications in shear analysis in engineering • Polar Decomposition of a matrix • Numerical experimentation with a colour and a black-and-white image compression using MATLAB • PCA methods of data analysis and image compression with a list of MATLAB codes
Author : Zhong-Zhi Bai
Publisher : SIAM
ISBN 13 : 1611976634
Total Pages : 496 pages
Book Rating : 4.6/5 (119 download)
Download or read book Matrix Analysis and Computations written by Zhong-Zhi Bai and published by SIAM. This book was released on 2021-09-09 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive book is presented in two parts; the first part introduces the basics of matrix analysis necessary for matrix computations, and the second part presents representative methods and the corresponding theories in matrix computations. Among the key features of the book are the extensive exercises at the end of each chapter. Matrix Analysis and Computations provides readers with the matrix theory necessary for matrix computations, especially for direct and iterative methods for solving systems of linear equations. It includes systematic methods and rigorous theory on matrix splitting iteration methods and Krylov subspace iteration methods, as well as current results on preconditioning and iterative methods for solving standard and generalized saddle-point linear systems. This book can be used as a textbook for graduate students as well as a self-study tool and reference for researchers and engineers interested in matrix analysis and matrix computations. It is appropriate for courses in numerical analysis, numerical optimization, data science, and approximation theory, among other topics
Author : Efstratios Gallopoulos
Publisher : Springer
ISBN 13 : 940177188X
Total Pages : 489 pages
Book Rating : 4.4/5 (17 download)
Download or read book Parallelism in Matrix Computations written by Efstratios Gallopoulos and published by Springer. This book was released on 2015-07-25 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is primarily intended as a research monograph that could also be used in graduate courses for the design of parallel algorithms in matrix computations. It assumes general but not extensive knowledge of numerical linear algebra, parallel architectures, and parallel programming paradigms. The book consists of four parts: (I) Basics; (II) Dense and Special Matrix Computations; (III) Sparse Matrix Computations; and (IV) Matrix functions and characteristics. Part I deals with parallel programming paradigms and fundamental kernels, including reordering schemes for sparse matrices. Part II is devoted to dense matrix computations such as parallel algorithms for solving linear systems, linear least squares, the symmetric algebraic eigenvalue problem, and the singular-value decomposition. It also deals with the development of parallel algorithms for special linear systems such as banded ,Vandermonde ,Toeplitz ,and block Toeplitz systems. Part III addresses sparse matrix computations: (a) the development of parallel iterative linear system solvers with emphasis on scalable preconditioners, (b) parallel schemes for obtaining a few of the extreme eigenpairs or those contained in a given interval in the spectrum of a standard or generalized symmetric eigenvalue problem, and (c) parallel methods for computing a few of the extreme singular triplets. Part IV focuses on the development of parallel algorithms for matrix functions and special characteristics such as the matrix pseudospectrum and the determinant. The book also reviews the theoretical and practical background necessary when designing these algorithms and includes an extensive bibliography that will be useful to researchers and students alike. The book brings together many existing algorithms for the fundamental matrix computations that have a proven track record of efficient implementation in terms of data locality and data transfer on state-of-the-art systems, as well as several algorithms that are presented for the first time, focusing on the opportunities for parallelism and algorithm robustness.
Author : University of Michigan Computing Center
Publisher :
ISBN 13 :
Total Pages : 800 pages
Book Rating : 4.3/5 (91 download)
Download or read book Computing Center Memo written by University of Michigan Computing Center and published by . This book was released on 1976 with total page 800 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : William H. Press
Publisher : Cambridge University Press
ISBN 13 : 9780521430647
Total Pages : 1016 pages
Book Rating : 4.4/5 (36 download)
Download or read book Numerical Recipes in FORTRAN 77: Volume 1, Volume 1 of Fortran Numerical Recipes written by William H. Press and published by Cambridge University Press. This book was released on 1992-09-25 with total page 1016 pages. Available in PDF, EPUB and Kindle. Book excerpt: As with Numerical Recipes in C, the FORTRAN edition has been greatly revised to make this edition the most up to date handbook for those working with FORTRAN. Between both editions of Numerical Recipes, over 300,000 copies have been sold.
Author :
Publisher :
ISBN 13 :
Total Pages : 184 pages
Book Rating : 4.3/5 (91 download)
Download or read book NBSIR. written by and published by . This book was released on 1977 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : BULTHEEL
Publisher : Springer Science & Business Media
ISBN 13 : 1489967907
Total Pages : 236 pages
Book Rating : 4.4/5 (899 download)
Download or read book Rational Approximation in Systems Engineering written by BULTHEEL and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : William H. Press
Publisher : Cambridge University Press
ISBN 13 : 0521880688
Total Pages : 1195 pages
Book Rating : 4.5/5 (218 download)
Download or read book Numerical Recipes 3rd Edition written by William H. Press and published by Cambridge University Press. This book was released on 2007-09-06 with total page 1195 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do you want easy access to the latest methods in scientific computing? This greatly expanded third edition of Numerical Recipes has it, with wider coverage than ever before, many new, expanded and updated sections, and two completely new chapters. The executable C++ code, now printed in colour for easy reading, adopts an object-oriented style particularly suited to scientific applications. Co-authored by four leading scientists from academia and industry, Numerical Recipes starts with basic mathematics and computer science and proceeds to complete, working routines. The whole book is presented in the informal, easy-to-read style that made earlier editions so popular. Highlights of the new material include: a new chapter on classification and inference, Gaussian mixture models, HMMs, hierarchical clustering, and SVMs; a new chapter on computational geometry, covering KD trees, quad- and octrees, Delaunay triangulation, and algorithms for lines, polygons, triangles, and spheres; interior point methods for linear programming; MCMC; an expanded treatment of ODEs with completely new routines; and many new statistical distributions. For support, or to subscribe to an online version, please visit www.nr.com.
