This book provides practical approaches to the efficient use of sparsity--a key to solving large problems in many fields, including computational science and engineering, where mathematical models give rise to very large systems of linear equations. The emphasis is on practicality, with conclusions based on concrete experience. Non-numeric computing techniques have been included as well as frequent illustrations in an attempt to bridge the gap between the written word and the working computer code. Exercises have been included to strengthen understanding of the material as well as to extend it for students and researchers in engineering, mathematics, and computer science.
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I. S. Duff is at AERE Harwell. A. M. Erisman is at Boeing Computer Services, Seattle.
`an outstanding contribution to the literature on sparse matrices...a valuable addition to the bookshelf of every reader interested in the solution of large sparse problems.' SIAM Review
'... strongly recommended to everyone involved in the study of sparsity problems as well as those who have to solve their own problems which need the use of sparse techniques.' Automatica
'the present book makes ... digestable reading and may by its practical attitude and many methods and examples contribute to the cogent solution of linear systems.' Monatshefte fur Mathematik
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