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.
This book covers structural and computational aspects of Matrix Computations. In today world, as the human kind creates more sophisticated complex systems, the need to analyze those complex systems becomes more obvious. Those analysis lead into highly sparse systems of equations, for example. To solve them efficiently using computers, we need economical methods of representation and computation. This book covers that. This book assumes you have a solid knowledge of Linear Algebra and experience with Numerical Methods, although the last is not vital.