84 research outputs found

    An Overview of Polynomially Computable Characteristics of Special Interval Matrices

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    It is well known that many problems in interval computation are intractable, which restricts our attempts to solve large problems in reasonable time. This does not mean, however, that all problems are computationally hard. Identifying polynomially solvable classes thus belongs to important current trends. The purpose of this paper is to review some of such classes. In particular, we focus on several special interval matrices and investigate their convenient properties. We consider tridiagonal matrices, {M,H,P,B}-matrices, inverse M-matrices, inverse nonnegative matrices, nonnegative matrices, totally positive matrices and some others. We focus in particular on computing the range of the determinant, eigenvalues, singular values, and selected norms. Whenever possible, we state also formulae for determining the inverse matrix and the hull of the solution set of an interval system of linear equations. We survey not only the known facts, but we present some new views as well

    Efficient Approaches for Enclosing the United Solution Set of the Interval Generalized Sylvester Matrix Equation

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    In this work, we investigate the interval generalized Sylvester matrix equation AXB+CXD=F{\bf{A}}X{\bf{B}}+{\bf{C}}X{\bf{D}}={\bf{F}} and develop some techniques for obtaining outer estimations for the so-called united solution set of this interval system. First, we propose a modified variant of the Krawczyk operator which causes reducing computational complexity to cubic, compared to Kronecker product form. We then propose an iterative technique for enclosing the solution set. These approaches are based on spectral decompositions of the midpoints of A{\bf{A}}, B{\bf{B}}, C{\bf{C}} and D{\bf{D}} and in both of them we suppose that the midpoints of A{\bf{A}} and C{\bf{C}} are simultaneously diagonalizable as well as for the midpoints of the matrices B{\bf{B}} and D{\bf{D}}. Some numerical experiments are given to illustrate the performance of the proposed methods
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