We consider a general class of structured matrices that includes (possibly confluent) Vandermonde and Vandermonde-like matrices. Here the entries in the matrix depend nonlinearly upon a vector of parameters. We define, condition numbers that measure the componentwise sensitivity of the associated primal and dual solutions to small componentwise perturbations in the parameters and in the right-hand side. Convenient expressions are derived for the infinity norm based condition numbers, and order-of-magnitude estimates are given for condition numbers defined in terms of a general vector norm. We then discuss the computation of the corresponding backward errors. After linearising the constraints, we derive an exact expression for the infinity n...
AbstractFor an N×N Vandermonde matrix VN=(αji-1)1⩽ij⩽N with translated Chebyshev zero nodes, it is d...
Abstract. In this paper we study the condition number of linear systems, the condition number of mat...
Low-rank structured matrices have attracted much attention in the last decades, since they arise in ...
We consider a general class of structured matrices that includes (possibly confluent) Vandermonde an...
We analyze the componentwise and normwise sensitivity of inverses of Cauchy, Vandermonde, and Cauchy...
Existing definitions of backward error and condition number for linear systems do not cater to struc...
Various normwise relative condition numbers that measure the sensitivity of matrix inversion and the...
Various normwise relative condition numbers that measure the sensitivity of Bott– Duffin inverse and...
Abstract. In the second part of this paper we study condition numbers with respect to com-ponentwise...
Existing definitions of componentwise backward error and componentwise condition number for linear s...
Existing definitions of componentwise backward error and componentwise condition number for linear s...
AbstractThe classical condition number is a very rough measure of the effect of perturbations on the...
AbstractExisting definitions of componentwise backward error and componentwise condition number for ...
Abstract. We investigate the structured normwise and componentwise condition num-bers for solving li...
AbstractStructured matrices, such as Cauchy, Vandermonde, Toeplitz, Hankel, and circulant matrices, ...
AbstractFor an N×N Vandermonde matrix VN=(αji-1)1⩽ij⩽N with translated Chebyshev zero nodes, it is d...
Abstract. In this paper we study the condition number of linear systems, the condition number of mat...
Low-rank structured matrices have attracted much attention in the last decades, since they arise in ...
We consider a general class of structured matrices that includes (possibly confluent) Vandermonde an...
We analyze the componentwise and normwise sensitivity of inverses of Cauchy, Vandermonde, and Cauchy...
Existing definitions of backward error and condition number for linear systems do not cater to struc...
Various normwise relative condition numbers that measure the sensitivity of matrix inversion and the...
Various normwise relative condition numbers that measure the sensitivity of Bott– Duffin inverse and...
Abstract. In the second part of this paper we study condition numbers with respect to com-ponentwise...
Existing definitions of componentwise backward error and componentwise condition number for linear s...
Existing definitions of componentwise backward error and componentwise condition number for linear s...
AbstractThe classical condition number is a very rough measure of the effect of perturbations on the...
AbstractExisting definitions of componentwise backward error and componentwise condition number for ...
Abstract. We investigate the structured normwise and componentwise condition num-bers for solving li...
AbstractStructured matrices, such as Cauchy, Vandermonde, Toeplitz, Hankel, and circulant matrices, ...
AbstractFor an N×N Vandermonde matrix VN=(αji-1)1⩽ij⩽N with translated Chebyshev zero nodes, it is d...
Abstract. In this paper we study the condition number of linear systems, the condition number of mat...
Low-rank structured matrices have attracted much attention in the last decades, since they arise in ...