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Eigenvalue

Known as: Eigen Value 
A series of float values each of which represents proportion of variance for each principal component.
National Institutes of Health

Papers overview

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Highly Cited
2014
Highly Cited
2014
Quantum computers promise to efficiently solve important problems that are intractable on a conventional computer. For quantum… Expand
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Highly Cited
2013
Highly Cited
2013
This paper proposes two new estimators for determining the number of factors (r) in static approximate factor models. We exploit… Expand
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Highly Cited
2011
Highly Cited
2011
Random matrix theory is a wide and growing field with a variety of concepts, results, and techniques and a vast range of… Expand
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Highly Cited
2009
Highly Cited
2009
In this paper, we consider the universality of the local eigenvalue statistics of random matrices. Our main result shows that… Expand
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Highly Cited
2001
Highly Cited
2001
Let x (1) denote the square of the largest singular value of an n x p matrix X, all of whose entries are independent standard… Expand
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Highly Cited
2000
Highly Cited
2000
  • Benesty
  • The Journal of the Acoustical Society of America
  • 2000
  • Corpus ID: 15665441
To find the position of an acoustic source in a room, the relative delay between two (or more) microphone signals for the direct… Expand
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Highly Cited
1985
Highly Cited
1985
0 Preliminaries: Notation and Definitions.- 0.1 Notation.- 0.2 Special Types of Matrices.- 0.3 Spectral Quantities.- 0.4 Types of… Expand
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Highly Cited
1980
Highly Cited
1980
According to Parlett, 'Vibrations are everywhere, and so too are the eigenvalues associated with them. As mathematical models… Expand
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Highly Cited
1971
Highly Cited
1971
In this paper we investigate the structure of the solution set for a large class of nonlinear eigenvalue problems in a Banach… Expand
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Highly Cited
1950
Highly Cited
1950
The present investigation designs a systematic method for finding the latent roots and the principal axes of a matrix, without… Expand
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