QUÉ SIGNIFICA EIGENVALUE EN INGLÉS
Valores propios y vectores propios
Un vector propio de una matriz cuadrada es un vector distinto de cero que, cuando la matriz se multiplica, produce un múltiplo constante de, siendo este último multiplicador comúnmente denotado por. Es decir: El número se llama el autovalor de correspondiente a. Si el espacio 2D se visualiza como una pieza de tela estirada por la matriz, los vectores propios forman la línea a lo largo de la dirección en la que se estira el paño y la línea de tela en el centro del estiramiento, cuya dirección no cambia El estiramiento tampoco. Los valores propios de la primera línea darían la escala a la que se estiraría el paño, y para la segunda línea la escala a la que se aprieta. En una rotación 3D, los vectores propios forman el eje de rotación, y como la escala del eje no se modifica por la rotación, sus valores propios Son todos 1. En geometría analítica, por ejemplo, un vector de tres coordenadas puede ser visto como una flecha en el espacio tridimensional comenzando en el origen.
definición de eigenvalue en el diccionario inglés
La definición de valor propio en el diccionario es uno de los valores particulares de un determinado parámetro para el que una ecuación diferencial o ecuación matricial tiene una función propia. En la mecánica de ondas, un valor propio es equivalente a la energía de un estado cuántico de un sistema.
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10 LIBROS DEL INGLÉS RELACIONADOS CON «EIGENVALUE»
Descubre el uso de
eigenvalue en la siguiente selección bibliográfica. Libros relacionados con
eigenvalue y pequeños extractos de los mismos para contextualizar su uso en la literatura.
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 NOTICIAS EN LAS QUE SE INCLUYE EL TÉRMINO «EIGENVALUE»
Conoce de qué se habla en los medios de comunicación nacionales e internacionales y cómo se emplea el término
eigenvalue en el contexto de las siguientes noticias.
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, Abr 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, Abr 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»