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Can I read Direct Methods for Sparse Matrices (Numerical Mathematics and Scientific Computation) on EtoBox?

Direct Methods for Sparse Matrices (Numerical Mathematics and Scientific Computation) by Iain S Duff; A M Erisman; John Ker Reid; Oxford University Press is a nonfiction available to read on EtoBox.

What is Direct Methods for Sparse Matrices (Numerical Mathematics and Scientific Computation) about?

The subject of sparse matrices has its root in such diverse fields as management science, power systems analysis, surveying, circuit theory, and structural analysis. Efficient use of sparsity is a key to solving large problems in many fields. This second edition is a complete rewrite of the first edition published 30 years ago. Much has changed since that time. Problems have grown greatly in size and complexity; nearly all examples in the first edition were of order less than 5,000 in the first edition, and are often more than a million in the second edition. Computer architectures are now much more complex, requiring new ways of adapting algorithms to parallel environments with memory hierarchies. Because the area is such an important one to all of computational science and engineering, a huge amount of research has been done in the last 30 years, some of it by the authors themselves. This new research is integrated into the text with a clear explanation of the underlying mathematics and algorithms. New research that is described includes new techniques for scaling and error control, new orderings, new combinatorial techniques for partitioning both symmetric and unsymmetric proble

Who reads Direct Methods for Sparse Matrices (Numerical Mathematics and Scientific Computation)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Iain S Duff; A M Erisman; John Ker Reid; Oxford University Press
Publisher
Oxford University PressOxford
Published
2017
Language
EN
ISBN
9780192507518
Category
nonfiction
Subjects
Mathematics, Stem

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