LIKE NEW: This book is in excellent, like-new condition.
Product Details
This book belongs to theFundamentals of Algorithms series from the SIAM, the Society for Industrial and Applied Mathematics.
Continued from the back cover: "Computational scientists often encounter problem requiring the solution of sparse systems of linear equations. Attacking these problems efficiently requires an in-depth knowledge of the underlying theory, algorithms, and data structures found in sparse matrix software libraries. Here, Davis presents the fundamentals of sparse matrix algorithms to provide the requisite background. The book includes CSparse, a concise downloadable sparse matrix package that illustrates the algorithms and theorems presented in the book and equips readers with the tools necessary to understand larger and more complex software packages.
"With a strong emphasis on MATLAB® software and the C programming language, Direct Methods for Space Linear Systems equips readers with the working knowledge required to use sparse solver packages and wrote code to interface applications to those packages. The book also explains how MATLAB performs its parse matrix computations.
"The invaluable book is essential to computational scientists and software developers who want to understand the theory and algorithms behind modern techniques used to solve large sparse linear systems. The book also serves as an excellent practical resource for students with an interest in combinatorial scientific computing."
