Parallelism in matrix computations scientific computation author ahmed h sameh bernard philippe 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 parallel methods for . This book covers parallel algorithms for a wide range of matrix computation problems ranging from solving systems of linear equations to computing pseudospectra of matrices this is a valuable reference book for researchers and practitioners in parallel computing. Algorithms for matrix computations are among the most widely used computational tools in science and engineering they are usually the first such tools to be implemented in any new computing environment due to recent trends in the design of computer architectures the scientific and engineering research community is becoming increasingly . Parallelism in matrix computations e j gallopoulos bernard philippe ahmed sameh 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 scientific computation responsibility efstratios gallopoulos bernard philippe ahmed h
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