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Review
A wealth of material, some old and classical, some new and still subject to debate. It will be a valuable reference source for workers in numerical linear algebra as well as a challenge to students.
(SIAM Review )In purely academic terms the reader with an interest in matrix computations will find this book to be a mine of insight and information, and a provocation to thought; the annotated bibliographies are helpful to those wishing to explore further. One could not ask for more, and the book should be considered a resounding success.
(Bulletin of the Institute of Mathematics and its Applications )The authors have rewritten and clarified many of the proofs and derivations from the first edition. They have also added new topics such as Arnoldi iteration, domain decomposition methods, and hyperbolic downdating. Clearly the second edition is an invaluable reference book that should be in every university library. With the new proofs and derivations, it should remain the text of choice for graduate courses in matrix computations
(Image: Bulletin of the International Linear Algebra Society )The proper study of matrix computations begins with the study of the matrix-matrix multiplication problem. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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High quality theoretical foundations, good solid code for Matlab and some fortran routines, I like the fact the authors think about loops and iterators the way I do, as a programmer, but also have the time to write out the material as a mathematician, often these two things are totally seperate in pure math and programming books.
Simply a must for anyone doing any matrix programming, as the ideas and implementations are easily portable to other matrix/array based langauges such as Gauss and R.
- an excellent description of the linear algebra theory with all key theorem, their intuitive... Read more
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