107
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CAGD
2008
15 years 13 days ago
2008
In this paper a method is presented to fair the limit surface of a subdivision algorithm locally around an extraordinary point. The dominant six eigenvalues of the subdivision mat...
SIAMCO
2002
15 years 15 days ago
2002
Abstract. We study the stability of the origin for the dynamical system x(t) = u(t)Ax(t)+(1u(t))Bx(t), where A and B are two 2
114
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MOC
1998
15 years 16 days ago
1998
In this paper, we present a theory for bounding the minimum eigenvalues, maximum eigenvalues, and condition numbers of stiffness matrices arising from the p-version of finite ele...
146
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AMC
1999
15 years 16 days ago
1999
The stability of the equilibria of time-invariant nonlinear dynamical systems with discrete time scale is investigated. We present an elementary proof showing that in the case of ...
109
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APPML
2005
15 years 23 days ago
2005
We consider a fourth-order eigenvalue problem on a semi-infinite strip which arises in the study of viscoelastic shear flow. The eigenvalues and eigenfunctions are computed by a s...
97
Voted
JMLR
2006
15 years 25 days ago
2006
The eigenvalues of the kernel matrix play an important role in a number of kernel methods, in particular, in kernel principal component analysis. It is well known that the eigenva...
108
Voted
ISCI
2008
15 years 26 days ago
2008
Multivariate Gaussian models are widely adopted in continuous Estimation of Distribution Algorithms (EDAs), and covariance matrix plays the essential role in guiding the evolution...
105
Voted
CAD
2006
Springer
15 years 27 days ago
2006
Springer
This paper introduces a method to extract `Shape-DNA', a numerical fingerprint or signature, of any 2d or 3d manifold (surface or solid) by taking the eigenvalues (i.e. the s...
110
Voted
APPML
2006
15 years 28 days ago
2006
An eigenvalue of a graph G is called a main eigenvalue if it has an eigenvector the sum of whose entries is not equal to zero, and it is well known that a graph has exactly one ma...
104
Voted
WSCG
2001
15 years 2 months ago
2001
In recent years the Hessian matrix and its eigenvalues became important in pattern recognition. Several algorithms based on the information they provide have been introduced. We r...