Numerical Methods for General and Struct
โ Daniel Kressner (auth.)
๐ Library
๐
2005
๐ Springer
๐ English
โฆ LIBER โฆ
๐
Numerical Methods for General and Structured Eigenvalue Problems
โ Scribed by Norman Kretzmann
- Publisher
- Springer
- Year
- 2005
- Tongue
- English
- Leaves
- 266
- Series
- Lecture Notes in Computational Science and Engineering
- Edition
- 1
- Category
- Library
โฌ Acquire This Volume
No coin nor oath required. For personal study only.
โฆ Synopsis
This book is about computing eigenvalues, eigenvectors and invariant subspaces of matrices. The treatment includes generalized and structured eigenvalue problems, such as Hamiltonian or product eigenvalue problems. All vital aspects of eigenvalue computations are covered: theory, perturbation analysis, algorithms, high performance methodologies and software. The reader will learn about recently developed techniques which substantially improve the performance of some of the most widely numerical methods, the QR and the QZ algorithm as well as Krylov subspace methods. A unique feature of this book is the detailed treatment of structured eigenvalue problems, providing insight on accuracy and efficiency gains to be expected from algorithms that take the structure of a matrix into account.
๐ SIMILAR VOLUMES
Numerical Methods for General and Struct
โ Daniel Kressner (auth.)
๐ Library
๐
2005
๐ Springer-Verlag Berlin Heidelberg
๐ English
<p>The purpose of this book is to describe recent developments in solving eig- value problems, in particular with respect to the QR and QZ algorithms as well as structured matrices. Outline Mathematically speaking, the eigenvalues of a square matrix A are the roots of its characteristic polynomial d
Numerical Methods for General and Struct
โ Daniel Kressner (auth.)
๐ Library
๐
2005
๐ Springer-Verlag Berlin Heidelberg
๐ English
Numerical Methods For General And Struct
โ Daniel Kressner
๐ Library
๐
2005
๐ Springer
๐ English
Numerical Methods for General and Struct
โ Daniel Kressner
๐ Library
๐
2005
๐ Springer
๐ English
This book is about computing eigenvalues, eigenvectors, and invariant subspaces of matrices. Treatment includes generalized and structured eigenvalue problems and all vital aspects of eigenvalue computations. A unique feature is the detailed treatment of structured eigenvalue problems, providing ins
Numerical Methods for Eigenvalue Problem
โ Steffen Borm; Christian Mehl
๐ Library
๐
2012
๐ De Gruyter
๐ English
This textbook presents a number of the most important numerical methods for finding eigenvalues and eigenvectors of matrices. The authors discuss the central ideas underlying the different algorithms and introduce the theoretical concepts required to analyze their behaviour. Several programming ex