New approach for 2-D spectrum estimation——parameter weight method
Tongxin xuebao, 2006 A new approach of 2-D MUSIC algorithm was proposed.Using the eigenvector and the eigenvalue of the co-variance matrix simultaneously,the method was composed of two one-dimension searching and avoided the costly 2-D searching.The pairings of the estimated
BAO Zheng1, WANG Yong-liang2
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Eigenvalues and eigenvectors of Hilbert matrices of order 3 through 10 [PDF]
, 1967 Henry E. Fettis, James C. Caslin
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Eigenvectors of certain matrices
Linear Algebra and its Applications, 1973 AbstractAn algorithm is given for calculation of eigenvalues and eigenvectors of centrosymmetric and some related matrices, and some desirable properties of the algorithm are proved. Centrosymmetric matrices are characterized by a symmetry property of their eigenvectors and this result is used to establish a property of certain methods for the ...
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On the Coding of Jacobi's Method for Computing Eigenvalues and Eigenvectors of Real Symmetric Matrices [PDF]
, 1963 F. J. Corbató
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Graph partitioning by Eigenvectors
Linear Algebra and its Applications, 1988 Given a graph G on n vertices and \(z\in R^ n\), we say that a vertex of G is positive, nonnegative, null, etc. if the corresponding entry of z has that property. For z such that Az\(\geq \alpha z\) (A is the adjacency matrix of G) the number of components of the subgraph induced by positive vertices is bounded.
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Proposing a method to achieve the weights in Fuzzy-MCDM problems: a case study due to select a type of tickicide [PDF]
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, 2006 This paper extends a kind of evaluation process based on fuzzy TOPS IS approach. By focusing on determining the importance and weights of criteria which are effective on decision making , then selecting by lean on Anthropy and eigenvector methods in ...
Maghsood Amiri +2 more
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Asymptotic Inference for Eigenvectors
The Annals of Statistics, 1981 Abstract : Asymptotic procedures are given for testing certain hypotheses concerning eigenvectors and for constructing confidence regions for eigenvectors. These asymptotic procedures are derived under fairly general conditions on the estimates of the matrix whose eigenvectors are of interest. Applications of the general results to principal components
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Organization of a ``Fixed-Plus-Variable'' Structure Computer for Computation of Eigenvalues and Eigenvectors of Real Symmetric Matrices [PDF]
, 1962 Gerald Estrin, C.R. Viswanathan
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Correction to "Eigenvectors of the successive over-relaxation process, and its combination with Chebyshev semi-iteration", by G. J. Tee [PDF]
, 1964 openalex +1 more source