نتایج جستجو برای: tridiagonal matrix

تعداد نتایج: 365390  

Journal: :J. Parallel Distrib. Comput. 1985
Adam W. Bojanczyk Richard P. Brent

A parallel algorithm for transforming an n × n symmetric matrix to tridiagonal form is described. The algorithm implements Givens rotations on a square array of n × n processors in such a way that the transformation can be performed in time O(n log n). The processors require only nearest-neighbor communication. The reduction to tridiagonal form could be the first step in the parallel solution o...

2013
Awoke Andargie Yanala Narsimha Reddy

In this paper, we presented an asymptotic fitted approach to solve singularly perturbed delay differential equations of second order with left and right boundary. In this approach, the singularly perturbed delay differential equations is modified by approximating the term containing negative shift using Taylor series expansion. After approximating the coefficient of the second derivative of the...

2008
Paul Terwilliger

Let K denote a field, and let V denote a vector space over K with finite positive dimension. We consider a pair of linear transformations A : V → V and A : V → V that satisfy the following two conditions: (i) There exists a basis for V with respect to which the matrix representing A is irreducible tridiagonal and the matrix representing A is diagonal. (ii) There exists a basis for V with respec...

Journal: :Numerical Lin. Alg. with Applic. 1995
Carlos F. Borges Ruggero Frezza William B. Gragg

Ve consider tl1e problem or re<:eH18l.r11dir1g Jacobi rnatric:e8 a.rid real symmetric: arrow ma.I.rices from two cigcnpairs. ,'\lgoritl1rn8 ror solving l.licsc i11vcr8c problem;; are presented. \Ve show that there are rea;;onable condition;;, under which this reconstruction is always possible. }foreover, it is ;;,een that in certain cases reconstruction can proceed with little or no cancellatio...

2004
Paul Terwilliger

Let K denote a field, and let V denote a vector space over K with finite positive dimension. We consider a pair of linear transformations A : V → V and A : V → V that satisfy the following two conditions: (i) There exists a basis for V with respect to which the matrix representing A is irreducible tridiagonal and the matrix representing A is diagonal. (ii) There exists a basis for V with respec...

Journal: :SIAM J. Matrix Analysis Applications 2003
Siegfried M. Rump

In this paper we study the condition number of linear systems, the condition number of matrix inversion, and the distance to the nearest singular matrix, all problems with respect to normwise structured perturbations. The structures under investigation are symmetric, persymmetric, skewsymmetric, symmetric Toeplitz, general Toeplitz, circulant, Hankel, and persymmetric Hankel matrices (some resu...

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