AbstractA general proposal is presented for fast algorithms for multilevel structured matrices. It is based on investigation of their tensor properties and develops the idea recently introduced by Kamm and Nagy in the block Toeplitz case. We show that tensor properties of multilevel Toeplitz matrices are related to separation of variables in the corresponding symbol, present analytical tools to study the latter, expose truncation algorithms preserving the structure, and report on some numerical results confirming advantages of the proposal
International audienceThe Higher-Order SVD (HOSVD) is a generalization of the Singular Value Decompo...
Matrices with the structures of Toeplitz, Hankel, Vandermonde and Cauchy types are om-nipresent in m...
ces using Newton iteration and tensor-displacement structure Vadim Olshevsky, Ivan Oseledets and Eug...
A general proposal is presented for fast algorithms for multilevel structured matrices. It is based ...
Abstract A fast approximate inversion algorithm is proposed for two-level Toeplitz matrices (block T...
special session "Tensor Computations in Linear and Multilinear Algebra"Tensor decompositions permit ...
The computation of matrix functions using quadrature formulas and rational approximations of very la...
Plusieurs problèmes en mathématiques appliquées requièrent la résolution de systèmes linéaires de tr...
This thesis considers problems of stability, rank estimation and conditioning for structured matrice...
In this paper, we present several high performance variants of the classical Schur algorithm to fact...
When dealing with large linear systems with a prescribed structure, two key ingredients are importan...
In this thesis we will explore the extensions of several ideas that have proven very successful in m...
Fast algorithms to factor Toeplitz matrices have existed since the beginning of this century. The tw...
AbstractIn this paper, we present several high performance variants of the classical Schur algorithm...
Multidimensional data, or tensors, arise natura lly in data analysis applications. Hitchcock&##39;s ...
International audienceThe Higher-Order SVD (HOSVD) is a generalization of the Singular Value Decompo...
Matrices with the structures of Toeplitz, Hankel, Vandermonde and Cauchy types are om-nipresent in m...
ces using Newton iteration and tensor-displacement structure Vadim Olshevsky, Ivan Oseledets and Eug...
A general proposal is presented for fast algorithms for multilevel structured matrices. It is based ...
Abstract A fast approximate inversion algorithm is proposed for two-level Toeplitz matrices (block T...
special session "Tensor Computations in Linear and Multilinear Algebra"Tensor decompositions permit ...
The computation of matrix functions using quadrature formulas and rational approximations of very la...
Plusieurs problèmes en mathématiques appliquées requièrent la résolution de systèmes linéaires de tr...
This thesis considers problems of stability, rank estimation and conditioning for structured matrice...
In this paper, we present several high performance variants of the classical Schur algorithm to fact...
When dealing with large linear systems with a prescribed structure, two key ingredients are importan...
In this thesis we will explore the extensions of several ideas that have proven very successful in m...
Fast algorithms to factor Toeplitz matrices have existed since the beginning of this century. The tw...
AbstractIn this paper, we present several high performance variants of the classical Schur algorithm...
Multidimensional data, or tensors, arise natura lly in data analysis applications. Hitchcock&##39;s ...
International audienceThe Higher-Order SVD (HOSVD) is a generalization of the Singular Value Decompo...
Matrices with the structures of Toeplitz, Hankel, Vandermonde and Cauchy types are om-nipresent in m...
ces using Newton iteration and tensor-displacement structure Vadim Olshevsky, Ivan Oseledets and Eug...