Different norms are considered to replace the Euclidean norm in an algorithm given by M. H. K. Fan and A. L. Tits (ibid., vol. 33, pp. 284-289, 1988), which is used for the computation of the structured singular value of any matrix. The algorithm is explained, and it is shown that the l1 norm is the best possible norm in a certain sense.published_or_final_versio
In this article we consider numerical approximation of structured singular values ($\mu-$values). Th...
This paper considers the problem of finding a perturbation matrix with the least spectral norm such ...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/57845/1/StrSingValueSparksIJRNC1998.pd
Different norms are considered to replace the Euclidean norm in an algorithm given by Fan and Tits (...
An iterative algorithm is presented to compute lower bounds for the structured singular value ( mu )...
A convex upper bound of the mixed structured singular value ¯ is analyzed. The upper bound is based ...
AbstractThis paper concerns a quantity which is equal to the norm of the smallest structured perturb...
In this article we present the computations of lower bounds of well-known mathematical quantity in c...
AbstractThis paper develops a validated numerical algorithm to compute the L∞-norm, a norm which pla...
Some key concepts of strucred singular value theory for the stability and performance-robustness ana...
Abstract. We investigate the structured normwise and componentwise condition num-bers for solving li...
The structured singular values and skewed structured singular values are the well-known mathematical...
Norms for operators play a fundamental role in the stability and approximation theory of linear and ...
This paper introduces a nonconservative measure of performance for linear feedback systems in the fa...
The notion of limiting norm, introduced by Pokrovskii (Soviet Math. Dokl., vol. 20, pp. 1314-1317, 1...
In this article we consider numerical approximation of structured singular values ($\mu-$values). Th...
This paper considers the problem of finding a perturbation matrix with the least spectral norm such ...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/57845/1/StrSingValueSparksIJRNC1998.pd
Different norms are considered to replace the Euclidean norm in an algorithm given by Fan and Tits (...
An iterative algorithm is presented to compute lower bounds for the structured singular value ( mu )...
A convex upper bound of the mixed structured singular value ¯ is analyzed. The upper bound is based ...
AbstractThis paper concerns a quantity which is equal to the norm of the smallest structured perturb...
In this article we present the computations of lower bounds of well-known mathematical quantity in c...
AbstractThis paper develops a validated numerical algorithm to compute the L∞-norm, a norm which pla...
Some key concepts of strucred singular value theory for the stability and performance-robustness ana...
Abstract. We investigate the structured normwise and componentwise condition num-bers for solving li...
The structured singular values and skewed structured singular values are the well-known mathematical...
Norms for operators play a fundamental role in the stability and approximation theory of linear and ...
This paper introduces a nonconservative measure of performance for linear feedback systems in the fa...
The notion of limiting norm, introduced by Pokrovskii (Soviet Math. Dokl., vol. 20, pp. 1314-1317, 1...
In this article we consider numerical approximation of structured singular values ($\mu-$values). Th...
This paper considers the problem of finding a perturbation matrix with the least spectral norm such ...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/57845/1/StrSingValueSparksIJRNC1998.pd