A First Course in Numerical Methods (Computational Science and Engineering)
| Author | : | |
| Rating | : | 4.35 (982 Votes) |
| Asin | : | 0898719976 |
| Format Type | : | paperback |
| Number of Pages | : | 574 Pages |
| Publish Date | : | 2016-11-30 |
| Language | : | English |
DESCRIPTION:
. He has previously co-authored three other books, published by SIAM, as well as many research papers in the general area of numerical methods and their applications. He is currently an associate editor of the SIAM Journal on Scientific Computing. His research interests are in the field of scientific computing, with specialization in numerical linear algebra. About the AuthorUri Ascher is a Professor of Computer Science at the University of British Columbia in Vancouver, Canada. He is a SIAM Fellow and a recipient of the CAIMS Research Prize.Chen Greif is an Associate Professor of Computer Science at the University of British Columbia in Vancouver, Canada
Avoiding encyclopedic and heavily theoretical exposition, the book provides an in-depth treatment of fundamental issues and methods, the reasons behind the success and failure of numerical software, and fresh and easy-to-follow approaches and techniques. The authors focus on current methods, issues and software while providing a comprehensive theoretical foundation, enabling those who need to apply the techniques to successfully design solutions to nonstandard problems. A variety of exercises are provided within each chapter along with review questions aimed at self-testing. A First Course in Numerical Methods is designed for students and researchers who seek practical knowledge of modern techniques in scientific computing. It may also be appropriate for researchers whose main area of expertise is not scientific computing and who are interested in learning the basic concepts of the field.Contents: Chapter One: Numerical Algorithms; Chapter Two: Roundoff Errors; Chapter Three: Nonlinear Equations in One Variable; Chapter Four: Linear Algebra Background; Chapter Five: Linear Systems: Direct Methods; Chapter Six: Linear Least Squares Problems; Chapter Seven: Linear Systems: Iterative Methods; Chapter Eight: Eigenvalues and Singular Values; Chapter Nine: Nonlinear Systems and Optimization; Chapter Ten: Polynomial Interpo
good reference book The book does a great job exposing you to the concepts and it has excellent recourses on the publisher's site. It is a bit difficult to grasp certain concepts since it doesn't go into too much detail (I had to reference another book a few times). If it would go more into detail on the more difficult concepts, it would get 5 stars.. Quirky and readable. You could do a lot worse. I just finished a course which taught from this text and thought it was a pretty OK treatment of introductory topics at a high level. The style of this text is very informal -- both in language and in rigor. To me, 'Numerical Methods' implies a focus on discretization, stability analysis, and derivation. This book only flirts with these topics, and doesn't get into numerical differentialtion / integration until close to the very end. Instead, it starts w. Can't vouch for the content, it was a required Can't vouch for the content, it was a required text book for my son. Arrived promptly, it was the book as advertised.
He is a SIAM Fellow and a recipient of the CAIMS Research Prize.Chen Greif is an Associate Professor of Computer Science at the University of British Columbia in Vancouver, Canada. . His research interests are in the field of scientific computing, with specialization in numerical linear algebra. He is currently an associate e