نتایج جستجو برای: companion matrix

تعداد نتایج: 380651  

Journal: :BSAVA Companion 2018

2015
Denny Otten

for simultaneously diagonalizable matrices A,B ∈ C . The unbounded drift term is defined by a skew-symmetric matrix S ∈ R. Differential operators of this form appear when investigating rotating waves in time-dependent reaction diffusion systems. As shown in a companion paper, one key assumption to prove resolvent estimates of L∞ in L (R,C ), 1 < p < ∞, is the following L-dissipativity condition...

Journal: :international journal of nonlinear analysis and applications 2014
s.s. dragomir

a companion of ostrowski's inequality for functions of bounded variation and applications are given.

Journal: :The Annals of Iowa 1984

S.S. Dragomir

A companion of Ostrowski's inequality for functions of bounded variation and applications are given.

Journal: :J. Computational Applied Mathematics 2015
Roberto Bevilacqua Gianna M. Del Corso Luca Gemignani

This paper is concerned with the reduction of a unitary matrix U to CMV-like shape. A Lanczos–type algorithm is presented which carries out the reduction by computing the block tridiagonal form of the Hermitian part of U , i.e., of the matrix U +UH . By elaborating on the Lanczos approach we also propose an alternative algorithm using elementary matrices which is numerically stable. If U is ran...

2007
Bin ZHOU Guangren DUAN

In this paper, solutions to the generalized Sylvester matrix equations AX−XF = BY and MXN−X = TY with A, M ∈ Rn×n, B, T ∈ Rn×r, F, N ∈ Rp×p and the matrices N, F being in companion form, are established by a singular value decomposition of a matrix with dimensions n × (n + pr). The algorithm proposed in this paper for the euqation AX − XF = BY does not require the controllability of matrix pair...

Journal: :SIAM J. Matrix Analysis Applications 2011
María Isabel Bueno Cachadina Fernando de Terán Froilán M. Dopico

A standard way to solve polynomial eigenvalue problems P (λ)x = 0 is to convert the matrix polynomial P (λ) into a matrix pencil that preserves its elementary divisors and, therefore, its eigenvalues. This process is known as linearization and is not unique, since there are infinitely many linearizations with widely varying properties associated with P (λ). This freedom has motivated the recent...

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