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## Direct Methods for Sparse Linear Systems (Softcover)"Overall, the book is magnificent. It fills a long-felt need for an accessible textbook on modern sparse direct methods. Its choice of scope is excellent." — John Gilbert, Professor, Department of Computer Science, University of California, Santa Barbara (as quoted on the back cover) ## $53.95 |

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Please contact us if you've got questions about this product.## Condition

**LIKE NEW:** This book is in excellent, like-new condition.

## Description

This book belongs to the *Fundamentals 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.”

**Chapters**

Each chapter has a group of exercise problems.

- Introduction
- Basic algorithms
- Solving triangular systems
- Cholesky factorization
- Orthogonal methods
- LU factorization
- Fill-reducing orderings
- Solving sparse linear systems
- CSparse
- Sparse matrices in MATLAB

**Appendices**

- Basics of the C programming language

The book concludes with Bibliography and Index.

## Details

- SKU:
- 2807
- Subject:
- Computer Science
- Author:
- Davis, Timothy A.
- Publisher:
- Society for Industrial and Applied Mathematics
- Publish Date:
- 2006
- Format:
- Softcover
- Weight (pounds):
- 0.95
- Dimensions (W”xL”xH”):
- 7.05″x10″x0.5″
- ISBN-13:
- 9780898716139
- ISBN-10:
- 0898716136
- Grade Level:
- College

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