ShopSpell

Numerical Linear Algebra A Concise Introduction with MATLAB and Julia [Paperback]

$48.99     $59.99    18% Off      (Free Shipping)
100 available
  • Category: Books (Mathematics)
  • Author:  Bornemann, Folkmar
  • Author:  Bornemann, Folkmar
  • ISBN-10:  3319742213
  • ISBN-10:  3319742213
  • ISBN-13:  9783319742212
  • ISBN-13:  9783319742212
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Apr-2018
  • Pub Date:  01-Apr-2018
  • SKU:  3319742213-11-SPRI
  • SKU:  3319742213-11-SPRI
  • Item ID: 102029084
  • List Price: $59.99
  • Seller: ShopSpell
  • Ships in: 5 business days
  • Transit time: Up to 5 business days
  • Delivery by: Jul 04 to Jul 06
  • Notes: Brand New Book. Order Now.

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 partitioning compared to a component view, leading not only to a clearer notation and shorter algorithms, but also to significant runtime gains in modern computer architectures. The algorithms and accompanying numerical examples are given in the programming environment MATLAB, and additionally  in an appendix  in the future-oriented, freely accessible programming language Julia. This book is suitable for a two-hour lecture on numerical linear algebra from the second semester of a bachelor's degree in mathematics.

Preface.-?I Computing with Matrices.-?II Matrix Factorization.-?III Error Analysis.-?IV Least Squares.-?V Eigenvalue Problems.-?Appendix.-?Notation.- Index.Folkmar Bornemann is Professor for Numerical Analysis and Scientific Computing at the Technical University of Munich.

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 partitioning compared to a component view, leading not only to a clearer notation and shorter algorithms, but also to significant runtime gains in modern computer architectures. The algorithms and accompanying numerical examples are given in the programming environment MATLAB, and additionally  in an appendix  in the future-oriented, freely accessible programming language Julia. This book is suitable for a two-hour lecture on numerical linear algebra from the second semester of a bachelor's degree in mathematics.

Interactive, compact textbook with liló%

Add Review