Sparse Matrix Technology

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Sparse Matrix Technology

Sparse Matrix Technology presents the methods, concepts, ideas, and applications of sparse matrix technology. The text provides the fundamental methods, procedures, techniques, and applications of sparse matrix technology in software development. The book covers topics on storage schemes and computational techniques needed for sparse matrix technology; sparse matrix methods and algorithms for the direct solution of linear equations; and algorithms for different purposes connected with sparse matrix technology. Engineers, programmers, analysts, teachers, and students in the computer sciences will find the book interesting.
Sparse Matrix Computations

The papers in this volume were presented at the Symposium on Sparse Matrix Computations held at Argonne National Laboratory in September 1975. It presents research in applied numerical analysis but with considerable influence from computer science. Most of the papers deal explicitly or implicitly with the design, analysis, implementation, and application of computer algorithms. Such an emphasis includes not only the establishment of space and time complexity bounds, as well as an attempt to understand the algorithms and the computing environment in enough detail to make design decisions for effective mathematical software to be used as tools in science and engineering.