Results 221 to 230 of about 1,094,991 (265)
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Generalized inverses of a normal matrix
Applied Mathematics and Computation, 2008The authors develop the form of several useful generalized inverses for normal matrices by using their Schur decomposition.
Bing Zheng, Dragana S Cvetkovic-Ilic
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Computing the closest real normal matrix and normal completion
Advances in Computational Mathematics, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nicola Guglielmi, Guglielmi Nicola
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Diagonal imbeddings in a normal matrix
Applied Mathematics and Computation, 2013Let a normal matrix [email protected]?C^n^x^n and @m"1 a given point in its numerical range w(A) that is not an eigenvalue. In this paper, we study the problem of construction of an isometry [email protected]?C^n^x^(^n^-^k^) (1=
Georgios Katsouleas, John Maroulas
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Visual assessment of matrix‐variate normality
Australian & New Zealand Journal of Statistics, 2023SummaryIn recent years, the analysis of three‐way data has become ever more prevalent in the literature. It is becoming increasingly common to analyse such data by means of matrix‐variate distributions, the most prevalent of which is the matrix‐variate normal distribution.
Nikola Počuča +3 more
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Pivoting to normalize a basic matrix
Mathematical Programming, 1993The author calls an \(m\times n\) matrix \(A\) basic if some \(m\times n\) submatrix of columns is a permutation matrix. Given such \(A\), he shows that by repeatedly pivoting on elements which exceed one in absolute value, one brings \(A\) into a basic form, where all elements have an absolute value of one or less.
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The Role of Extracellular Matrix in Normal Liver
Scandinavian Journal of Gastroenterology, 1988Sustained expression of liver-specific function by hepatocytes in culture requires a basement membrane-like matrix as the culture substratum. Individual components of the matrix cannot substitute for the complex. The implications of these findings for the intact liver include the possibility that the extracellular matrix helps maintain normal ...
D M, Bissell, M O, Choun
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Fast algorithms for matrix normal forms
Proceedings., 33rd Annual Symposium on Foundations of Computer Science, 1992A Las Vegas type probabilistic algorithm is presented for computing the Frobenius normal form of an n*n matrix T over any field K. The algorithm requires O/sup approximately /(MM(n))=MM(n)/sup ./(log n)/sup O(1)/ operations in K, where O(MM(n)) operations in K are sufficient to multiply two n*n matrices over K.
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