Contains a more substantial discussion on reliability, fuller development of Lanczos method for sparse eigenvalue programs and the related conjugate gradient method for sparse linear equations, a detailed examination of techniques involving sparse matrices, as well as a chapter on the solution of non-linear equations. All the program segments have been set in structured FORTRAN and special considerations required for working with vector and parallel computers are introduced. Features several exercises at the end of each chapter.
Excellent text focusing on solution of matrix equations. It surpases other books in this category by including many of the common practical pitfalls in writing program code for solving matrix equations. The text and code fragments are well written and clearly discussed. Code optimization is considered with discussions on such topics as memory core use and specialized matrix considerations that haunt the practicing programmer on a daily basis. This book deserves a spot on every engineer's bookshelf.
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