Numerical Linear Algebra is a concise, insightful, and elegant introduction to the field of numerical linear algebra.
Sydney J. Harris Relaxation is an ingenious idea. It is appealing because • it is algorithmically easy to put into any iterative method program. • it introduces a parameter that must be chosen. With the right choice, often it can reduce ...
A concise, insightful, and elegant introduction to the field of numerical linear algebra.
Exercise. Consider the linear system of equations Ax = b for the matrix A = 1 v u I ∈ K m×m . • Permute the rows and columns of A in such a way that the storage cost for the factors of an LU decomposition grows just ...
This book brings together linear algebra, numerical methods and an easy to use programming environment under Matlab (or Scilab). One of the key features of the book are the worked out examples and exercises at the end of each chapter.
This well-organized text provides a clear analysis of the fundamental concepts of numerical linear algebra.
This book combines a solid theoretical background in linear algebra with practical algorithms for numerical solution of linear algebra problems.
Requiring only a solid knowledge in linear algebra and basic analysis, this book will be useful for applied mathematicians, engineers, computer scientists, and all those interested in efficiently solving linear problems.
Requiring only a solid knowledge in linear algebra and basic analysis, this book will be useful for applied mathematicians, engineers, computer scientists, and all those interested in efficiently solving linear problems.
A second objective of this book is to propose new auto-tuning techniques to optimize access on GPU. A third objective of this book is to propose new preconditioning techniques for GPGPU.
Since its original appearance in 1997, Numerical Linear Algebra has been a leading textbook in its field, used in universities around the world.