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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 Problems, And A Detailed Description Of The Multifrontal Approach To Solving Systems That Was Pioneered By The Research Of The Authors And Colleagues. This Includes A Discussion Of Techniques For Exploiting Parallel Architectures And New Work For Indefinite And Unsymmetric Systems.
This text investigates the mathematical foundations and algorithmic implementations required to solve large-scale sparse matrix systems efficiently. The authors, A. M. Erisman, I. S. Duff, and J. K. Reid, utilize their extensive research backgrounds to update classical methods for modern computational environments. They present a framework that addresses the challenges posed by massive problem sizes and complex, hierarchical computer architectures.
What You Will Find
Scope Limits
Experts recognize this work as a definitive reference for the evolution of sparse matrix computation over the last three decades. Readers frequently note the technical density of the prose, which serves as a rigorous resource for researchers and practitioners in computational science.
Page Count:
416
Publication Date:
2017-01-01
Publisher:
Oxford University Press
ISBN-10:
0192507508
ISBN-13:
9780192507501
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