<p>Designed for those who want to gain a practical knowledge of modern computational techniques for the numerical solution of linear algebra problems, <i>Numerical Linear Algebra with Applications</i> contains all the material necessary for a first year graduate or advanced undergraduate course on n
Numerical Linear Algebra with Applications: Using MATLAB
โ Scribed by William Ford
- Publisher
- Academic Press
- Year
- 2014
- Tongue
- English
- Leaves
- 629
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Designed for those who want to gain a practical knowledge of modern computational techniques for the numerical solution of linear algebra problems, Numerical Linear Algebra with Applications contains all the material necessary for a first year graduate or advanced undergraduate course on numerical linear algebra with numerous applications to engineering and science.
With a unified presentation of computation, basic algorithm analysis, and numerical methods to compute solutions, this book is ideal for solving real-world problems. It provides necessary mathematical background information for those who want to learn to solve linear algebra problems, and offers a thorough explanation of the issues and methods for practical computing, using MATLAB as the vehicle for computation. The proofs of required results are provided without leaving out critical details. The Preface suggests ways in which the book can be used with or without an intensive study of proofs.
- Six introductory chapters that thoroughly provide the required background for those who have not taken a course in applied or theoretical linear algebra
- Detailed explanations and examples
- A through discussion of the algorithms necessary for the accurate computation of the solution to the most frequently occurring problems in numerical linear algebra
- Examples from engineering and science applications
โฆ Subjects
ะะธะฑะปะธะพัะตะบะฐ;ะะพะผะฟัััะตัะฝะฐั ะปะธัะตัะฐัััะฐ;Matlab / Simulink;
๐ SIMILAR VOLUMES
Courses on linear algebra and numerical analysis need each other. Often NA courses have some linear algebra topics, and LA courses mention some topics from numerical analysis/scientific computing. This text merges these two areas into one introductory undergraduate course. It assumes students have h
<p>This book offers an introduction to the algorithmic-numerical thinking using basic problems of linear algebra. By focusing on linear algebra, it ensures a stronger thematic coherence than is otherwise found in introductory lectures on numerics. The book highlights the usefulness of matrix partiti