10 ENGLISH BOOKS RELATING TO «EIGENVALUE»
Discover the use of
eigenvalue in the following bibliographical selection. Books relating to
eigenvalue and brief extracts from same to provide context of its use in English literature.
1
The Symmetric
Eigenvalue Problem
Mathematics of Computing -- Numerical Analysis.
Beresford N. Parlett, 1998
2
The Algebraic
Eigenvalue Problem
A new paperback edition of Wilkinson's classic, pioneering text on the computation of matrix eigenvalues. One of the most important and widely-read books on numerical analysis ever published.
James Hardy Wilkinson, 1988
3
Variational Methods for
Eigenvalue Problems: An Introduction ...
Purely mathematical treatment offers simple exposition of general theory of variational methods with special reference to the vibrating plate. No math beyond basic calculus. Includes exercises. 1957 edition.
4
ARPACK Users' Guide: Solution of Large-scale
Eigenvalue ...
This book is a guide to understanding and using the software package ARPACK to solve large algebraic eigenvalue problems.
Richard B. Lehoucq, Danny C. Sorensen, Chao Yang, 1998
5
Boundary and
Eigenvalue Problems in Mathematical Physics
is, that it satisfies (VII.4), and we have seen in the preceding subsection that the
eigenvalue corresponding to y(x) represents the minimum value of (VII. 5). As we
have seen in Chapter V, §2, equation (VI 1. 4) has infinitely many solutions ...
6
The Matrix
Eigenvalue Problem: GR and Krylov Subspace Methods
An in-depth, theoretical discussion of the two most important classes of algorithms for solving matrix eigenvalue problems.
7
Templates for the Solution of Algebraic
Eigenvalue Problems: ...
Mathematics of Computing -- Numerical Analysis.
Zhaojun Bai, James Demmel, Jack Dongarra, 2000
8
Numerical Methods for Large
Eigenvalue Problems: Revised Edition
This revised edition discusses numerical methods for computing eigenvalues and eigenvectors of large sparse matrices.
9
Numerical Methods for General and Structured
Eigenvalue Problems
This book is about computing eigenvalues, eigenvectors and invariant subspaces of matrices.
10
Spectral Generalizations of Line Graphs: On Graphs with ...
This book deals with all these families of graphs in the context of their spectral properties. The authors discuss the three principal techniques that have been employed, namely 'forbidden subgraphs', 'root systems' and 'star complements'.
Dragoš Cvetkovic, Peter Rowlinson, Slobodan Simic, 2004
10 NEWS ITEMS WHICH INCLUDE THE TERM «EIGENVALUE»
Find out what the national and international press are talking about and how the term
eigenvalue is used in the context of the following news items.
Psychometric properties of a brief measure of autonomy support in …
For overall treatment experience and provider specific scales, only one Eigenvalue was greater than 1.0, and in each case the percentage of ... «BMC Blogs Network, Jul 15»
Supplementary Data
... Principal Component 1 (which explained 70.5% of the variation from the principal component analysis and had an eigenvalue of 2.8) used as ... «Am J Botany, Jun 15»
Fiber guiding at the Dirac frequency beyond photonic bandgaps
... single frequency and should be distinguished from a recent observation of an 'embedded eigenvalue' that also occurs at a single frequency. «Nature.com, Jun 15»
Complete temporal characterization of a single photon
The primary eigenvector of the TDM has a corresponding eigenvalue almost 45 times larger than the second largest one indicating a nearly ... «Nature.com, Jun 15»
Quantum Discord for d⊗2 Systems
where stands for the largest eigenvalue of the matrix . Eq. (7) gives the analytical formula for the classical correlation in terms of linear entropy ... «Nature.com, Jun 15»
Sparking New Ideas In Econometrics
This is because the largest eigenvalue cannot be accurately estimated if the cross-sectional dimension grows at the same rate as the sample ... «Asian Scientist Magazine, May 15»
Tipping points and early warning signals in the genomic …
For this reason, its largest eigenvalue is positive, it verifies that λ1 > |λi|, ∀ i > 1, and the elements of its associated eigenvector are also positive ... «Nature.com, May 15»
It's complicated: Self-organized patterns identify emergent behavior …
The final obstacle was mathematically proving that the first eigenvalue (each of a set of values of a parameter for which a differential equation ... «Phys.Org, Apr 15»
Depressive symptoms and clustering of risk behaviours among …
The following criteria were used to determine the number of clusters: factors must have an eigenvalue of >1.00 and factor loadings must have ... «BMC Blogs Network, Apr 15»
Conservatism and novelty in the genetic architecture of adaptation in …
This analysis was extended by performing multivariate analysis on all principal components with an eigenvalue greater than or equal to ... «Nature.com, Mar 15»
