Introduction to Computational Linear Algebra
1st Edition
Published on 24. June 2015
259 pages
978-1-040-07851-8 (ISBN)
Description
Teach Your Students Both the Mathematics of Numerical Methods and the Art of Computer ProgrammingIntroduction 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 stud
More details
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
ISBN-13
978-1-040-07851-8 (9781040078518)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Nabil Nassif | Jocelyne Erhel | Bernard Philippe
Introduction to Computational Linear Algebra
Book
06/2015
1st Edition
Chapman & Hall/CRC
€117.50
Article not available for order
Persons
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.
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.
Content
Basic Linear Algebra Subprograms: BLAS. Basic Concepts for Matrix Computations. Gauss Elimination and LU Decompositions of Matrices. Orthogonal Factorizations and Linear Least Squares Problems. Algorithms for the Eigenvalue Problem. Iterative Methods for Systems of Linear Equations. Sparse Systems to Solve Poisson Differential Equations. Bibliography. Index.
