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

Topic mentions per year

Topic mentions per year

1949-2018
05010015019492017

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2003
Highly Cited
2003
We determine analytically the modulus of the second eigenvalue for the web hyperlink matrix used by Google for computing PageRank… (More)
Is this relevant?
Highly Cited
2002
Highly Cited
2002
For the nonlinear eigenvalue problem T (λ)x = 0 we propose an iterative projection method for computing a few eigenvalues close… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2002
Highly Cited
2002
Kernel principal component analysis has been introduced as a method of extracting a set of orthonormal nonlinear features from… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
1999
Highly Cited
1999
  • coise TisseuryJuly
  • 1999
We develop normwise backward errors and condition numbers for the polynomial eigenvalue problem. The standard way of dealing with… (More)
  • figure 3.1
  • figure 3.3
Is this relevant?
Highly Cited
1996
Highly Cited
1996
In this paper an analogue of the Schwarz alternating method is considered to nd a minimal eigenvalue and its corresponding… (More)
Is this relevant?
Highly Cited
1994
Highly Cited
1994
The Lanczos process is a well known technique for computing a few, say k, eigenvalues and associated eigenvectors of a large… (More)
  • table 5.1
Is this relevant?
Highly Cited
1994
Highly Cited
1994
The problem of separating n linearly superimposed uncorrelated signals and determing their mixing coeecents is reduced to an… (More)
  • figure 1
Is this relevant?
Highly Cited
1988
Highly Cited
1988
  • Michael L Overton 'f
  • 1988
An important optimization problem that arises in control is to minimize o(x), the largest eigenvalue (in magnitude) of a… (More)
Is this relevant?
Highly Cited
1987
Highly Cited
1987
In this paper we describe block algorithms for the reduction of a real symmetric matrix to tridiagonal form and for the reduction… (More)
  • table 1
  • figure 2
  • figure 1
Is this relevant?
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… (More)
  • figure 2
Is this relevant?