Results 21 to 30 of about 277,976 (316)

Moore-Penrose inverse of a hollow symmetric matrix and a predistance matrix

open access: yesSpecial Matrices, 2016
By a hollow symmetric matrix we mean a symmetric matrix with zero diagonal elements. The notion contains those of predistance matrix and Euclidean distance matrix as its special cases.
Kurata Hiroshi, Bapat Ravindra B.
doaj   +1 more source

A matrix pair of an almost diagonal skew-symmetric matrix and a symmetric positive definite matrix

open access: yesLinear Algebra and its Applications, 1993
Let A be skew-symmetric, B be symmetric positive definite, and the pair (A, B) have multiple eigenvalues. If A is close to Murnaghan form and B is close to diagonal form, then certain principal submatrices of A and B are specially related. In this paper we describe this relationship and quantify it under the usual asymptotic conditions.
Vjeran Hari, Noah H. Rhee
openaire   +3 more sources

Combinatorial properties of the enhanced principal rank characteristic sequence over finite fields

open access: yesSpecial Matrices, 2021
The enhanced principal rank characteristic sequence (epr-sequence) of a symmetric matrix B ∈ 𝔽n×n is defined as ℓ1ℓ2· · · ℓn, where ℓj ∈ {A, S, N} according to whether all, some but not all, or none of the principal minors of order j of B are nonzero ...
Dukes Peter J., Martínez-Rivera Xavier
doaj   +1 more source

Two families of the simple iteration method, in comparison [PDF]

open access: yesКомпьютерные исследования и моделирование, 2012
Convergence to the solution of the linear system with real quadrate non singular matrix A with real necessary different sign eigen values of two families of simple iteration method: two-parametric and symmetrized one-parametric generated by these A and b
Pavel Nikolaevich Sorokin   +1 more
doaj   +1 more source

Using Parametric Functions to Solve Systems of Linear Fuzzy Equations with a Symmetric Matrix [PDF]

open access: yesInternational Journal of Computational Intelligence Systems, 2008
A method to solve linear fuzzy equations with a symmetric matrix is proposed. Ignoring the symmetry leads to an overestimation of the solution. Our method to find the solution of a system of linear fuzzy equations takes the symmetry of the matrix into ...
Annelies Vroman   +2 more
doaj   +1 more source

Symmetric functions and the Vandermonde matrix

open access: yesJournal of Computational and Applied Mathematics, 2004
AbstractThis work deduces the lower and the upper triangular factors of the inverse of the Vandermonde matrix using symmetric functions and combinatorial identities. The L and U matrices are in turn factored as bidiagonal matrices. The elements of the upper triangular matrices in both the Vandermonde matrix and its inverse are obtained recursively. The
Oruc, HALİL, Akmaz, HK
openaire   +3 more sources

Symmetric multisplitting of a symmetric positive definite matrix

open access: yesLinear Algebra and its Applications, 1998
AbstractA parallel symmetric multisplitting method for solving a symmetric positive system Ax = b is presented. Here the s.p.d. (symmetric positive definite) matrix A need not be assumed in a special form (e.g. the dissection form (R.E. White, SIAM J. Matrix Anal. Appl. 11 (1990) 69–82).
Zhi-Hao Cao, Zhong-Yun Liu
openaire   +2 more sources

Non symmetric random walk on infinite graph [PDF]

open access: yesOpuscula Mathematica, 2011
We investigate properties of a non symmetric Markov's chain on an infinite graph. We show the connection with matrix valued random walk polynomials which satisfy the orthogonality formula with respect to non a symmetric matrix valued measure.
Marcin J. Zygmunt
doaj   +1 more source

A Non-Iterative Method for the Difference of Means on the Lie Group of Symmetric Positive-Definite Matrices

open access: yesMathematics, 2022
A non-iterative method for the difference of means is presented to calculate the log-Euclidean distance between a symmetric positive-definite matrix and the mean matrix on the Lie group of symmetric positive-definite matrices.
Xiaomin Duan   +3 more
doaj   +1 more source

The derivative of an orthogonal matrix of eigenvectors of a symmetric matrix

open access: yesLinear Algebra and its Applications, 1997
AbstractThe authors supply the derivative of an orthogonal matrix of eigenvectors of a real symmetric matrix. To illustrate the applicability of their result they consider a real symmetric random matrix for which a more or less standard convergence in distribution is assumed to hold.
Heinz Neudecker, Tõnu Kollo
openaire   +3 more sources

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