Results 141 to 150 of about 5,012,670 (186)

Data-driven modeling of spring discharge in a dynamic karst aquifer using multivariate models and spectral analysis. [PDF]

open access: yesPLoS One
Vivaldo G   +7 more
europepmc   +1 more source

A Multilinear Singular Value Decomposition [PDF]

open access: yesSIAM Journal on Matrix Analysis and Applications, 2000
This paper investigates higher order singular value decompositions (HOSVD) as multilinear generalization of singular value decomposition (SVD), in terms of higher order tensors exhibiting symmetries as motivated by applications in higher order statistics. This includes matrix representation of higher order tensors, their rank properties, generalization
Lieven De Lathauwer, Joos Vandewalle
exaly   +4 more sources

Singular Value Assignment

SIAM Journal on Control and Optimization, 2009
We give a necessary and sufficient condition for the existence of a matrix $F$ such that the singular values of $A+BF$ are the prescribed values. We also give a simple algorithm to compute $F$ if the prescribed values satisfy the condition.
Clyde F. Martin, Xiaochang A. Wang
openaire   +1 more source

Downdating the Singular Value Decomposition

SIAM Journal on Matrix Analysis and Applications, 1995
Let \(A\) be a matrix with known singular values and left and/or right singular vectors, and let \(A'\) be the matrix obtained by deleting a row from \(A\). Computing the singular value decomposition (SVD) of \(A'\) from the SVD of \(A\) is called the downdating singular value decomposition problem (DSVDP).
Ming Gu 0002, Stanley C. Eisenstat
openaire   +1 more source

Computing the Structured Singular Value

SIAM Journal on Matrix Analysis and Applications, 1992
Discussing some problems of multivariable control theory, the author begins to examine some algorithms to compute the structured singular value due to \textit{J. C. Doyle} [Analysis of feedback systems with structured uncertainties. Proc. IEE-D 129, No. 6, 246-250 (1982; MR 84a:93035)]; this notion, in particular, includes the largest singular value of
openaire   +2 more sources

Singular value features of images

SPIE Proceedings, 2000
This paper presents the preliminary results of our investigation on using singular value decomposition transform to extract effective image features. It proposes using the singular values of subimages to discriminate different classes of imagery.
Jingxin Zhang 0001   +4 more
openaire   +2 more sources

Continuation of Singular Value Decompositions

Mediterranean Journal of Mathematics, 2005
In this work we consider computing a smooth path for a (block) singular value decomposition of a full rank matrix valued function. We give new theoretical results and then introduce and implement several algorithms to compute a smooth path. We illustrate performance of the algorithms with a few numerical examples.
L. DIECI L   +2 more
openaire   +1 more source

Generalizing the Singular Value Decomposition

SIAM Journal on Numerical Analysis, 1976
Two generalizations of the singular value decomposition are given. These generalizations provided a unified way of regarding certain matrix problems and the numerical techniques which are used to s...
openaire   +2 more sources

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