<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
Numerical Linear Algebra with Julia
โ Scribed by Eric Darve; Mary Wootters
- Publisher
- SIAM
- Year
- 2021
- Tongue
- English
- Leaves
- 421
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Numerical Linear Algebra with Julia provides in-depth coverage of fundamental topics in numerical linear algebra, including how to solve dense and sparse linear systems, compute QR factorizations, compute the eigendecomposition of a matrix, and solve linear systems using iterative methods such as conjugate gradient. Julia code is provided to illustrate concepts and allow readers to explore methods on their own.
โฆ Table of Contents
Getting started with Julia
1
Linear algebra bootcamp
7
Linear systems and the basics of floatingpoint arithmetic
65
OR factorization
121
Eigenvalues and eigenvectors
149
Eigenvalue computation for sparse matrices
213
Classical iterations to solve linear systems
235
Krylov methods to solve linear systems
265
A taste of direct methods to solve sparse linear systems
327
Julia essentials
363
Bibliography
395
Index
403
Copyright
๐ SIMILAR VOLUMES
<p><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 part
<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
<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
Beautiful! Very simply, if you want to have an insight on linear algebraic procedures, and why this and that happens so and so, this is the book. Topic-wise, it is almost complete for a first treatment. Each chapter starts with a gentle introduction, building intuition and then gets into the formal