Results 141 to 150 of about 5,012,670 (186)
Extracting wave solutions of coupled system of dual-mode variant boussinesq equation via two analytical methods. [PDF]
Arshed S +5 more
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Data-driven modeling of spring discharge in a dynamic karst aquifer using multivariate models and spectral analysis. [PDF]
Vivaldo G +7 more
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Dynamical study of optical soliton solutions to the Lakshmanan-Porsezian-Daniel equation by using [Formula: see text]-model expansion approach. [PDF]
Alharthi MR +5 more
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A Multilinear Singular Value Decomposition [PDF]
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
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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
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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
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Downdating the Singular Value Decomposition
SIAM Journal on Matrix Analysis and Applications, 1995Let \(A\) 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
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Computing the Structured Singular Value
SIAM Journal on Matrix Analysis and Applications, 1992Discussing 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
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Singular value features of images
SPIE Proceedings, 2000This 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
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Continuation of Singular Value Decompositions
Mediterranean Journal of Mathematics, 2005In 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
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Generalizing the Singular Value Decomposition
SIAM Journal on Numerical Analysis, 1976Two 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...
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