Home Introduction to Computational Linear Algebra by Nabil Nassif; Jocelyne Erhel; Bernard Philippe (ISBN: 9781482258691)

Stock photo: cover may vary

Introduction to Computational Linear Algebra Hardback - 2015

Name: Introduction to Computational Linear Algebra
Price: 142.78 USD
Availability: InStock
Author: Nassif, Nabil
ISBN: 9781482258691

by Nabil Nassif; Jocelyne Erhel; Bernard Philippe

Add to wish list

Browse more copies for sale ↓

Reader reviews for Introduction to Computational Linear Algebra

Write a review for this book

Important Terms and Guidelines

Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
Reviews must be at least 140 characters in length.
Please do not reveal critical plot elements.
This is not a help line. Contact customer support if you need help.

Your review must not include:

Obscenities, discriminatory language, or other insulting language not suitable for public domain
Advertisements, “spam” content, or references to other products, offers or websites.
Email addresses, URLs, phone numbers, physical addresses or other contact information.
Overly critical comments about other reviews or reviewers
Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
Availability, price, or alternative ordering/shipping information

From the publisher

Teach Your Students Both the Mathematics of Numerical Methods and the Art of Computer Programming

Introduction to Computational Linear Algebra presents classroom-tested material on computational linear algebra and its application to numerical solutions of partial and ordinary differential equations. The book is designed for senior undergraduate students in mathematics and engineering as well as first-year graduate students in engineering and computational science.

The text first introduces BLAS operations of types 1, 2, and 3 adapted to a scientific computer environment, specifically MATLAB(R). It next covers the basic mathematical tools needed in numerical linear algebra and discusses classical material on Gauss decompositions as well as LU and Cholesky's factorizations of matrices. The text then shows how to solve linear least squares problems, provides a detailed numerical treatment of the algebraic eigenvalue problem, and discusses (indirect) iterative methods to solve a system of linear equations. The final chapter illustrates how to solve discretized sparse systems of linear equations. Each chapter ends with exercises and computer projects.

Details

Title Introduction to Computational Linear Algebra
Author Nabil Nassif; Jocelyne Erhel; Bernard Philippe
Binding Hardback
Edition INDIAN EDITIONS
Pages 262
Volumes 1
Language ENG
Publisher CRC Press
Publication date 2015
Illustrated Yes
Features Bibliography, Illustrated, Index
ISBN 9781482258691 / 1482258692
Weight 1.1 lbs (0.50 kg)
Dimensions 9 x 6.2 x 0.8 in (22.86 x 15.75 x 2.03 cm)
Category Mathematics
Library of Congress subjects Algebras, Linear
Library of Congress Catalogue Number 2015011621
Dewey Decimal Code 512.5

Media reviews

Citations

Choice, 03/01/2016, Page 0

About the author

Nabil Nassif is affiliated with the Department of Mathematics at the American University of Beirut, where he teaches and conducts research in mathematical modeling, numerical analysis, and scientific computing. He earned a PhD in applied mathematics from Harvard University under the supervision of Professor Garrett Birkhoff.

Jocelyne Erhel is a senior research scientist and scientific leader of the Sage team at INRIA in Rennes, France. She earned a PhD from the University of Paris. Her research interests include sparse linear algebra and high performance scientific computing applied to geophysics, mainly groundwater models.

Bernard Philippe was a senior research scientist at INRIA in Rennes, France, until 2015 when he retired. He earned a PhD from the University of Rennes. His research interests include matrix computing with a special emphasis on large-sized eigenvalue problems.

More Copies for Sale

Stock photo: cover may vary