Add to ORKG. In this paper we employ Householder transformations and compound Givens rotations to compute the Complete Orthogonal Decomposition of a rectangular matrix, using a SIMD array processor. Algorithms are proposed for the reconstruction of the orthogonal matrices involved in the decompositions and the estimated execution time of all parallel algorithms is obtained
This paper provides an introduction to algorithms for fundamental linear algebra problems on various...
A new algorithm for the orthogonal reduction of a symmetric matrix to tridiagonal form is developed ...
We introduce a backward stable algorithm for computing the CS decomposition of a partitioned $2n \ti...
Two parallel algorithms are proposed for the solution of the General Linear Model on a SIMD array pr...
n this paper we propose new stable parallel algorithms based on Householder transformations and comp...
The polar decomposition A = UH of a rectangular matrix A, where U is unitary and H is Hermitian posi...
A triangular processor array for computing a singular value decomposition (SVD) of an $m \times n (...
An algorithm for computing the complete CS decomposition of a partitioned uni-tary matrix is develop...
Several algorithms have appeared for solving the Ordinary Linear Model (OLM), after a number of obse...
The polar decomposition of an $m \times n$ matrix $A$ of full rank, where $m \geqq n$, can be comput...
Abstract. The symmetric orthogonalization, which is obtained from the polar decomposition of a matri...
Abstract—The singular value decomposition C = UΛVT is among the most useful and widespread tools in ...
The polar decomposition of an $m x n$ matrix $A$ of full rank, where $m \geq n$, can be computed us...
International audienceThe singular value decomposition C = U*Lambda*transpose(V) is among the most u...
90 p.The polynomial matrix decomposition has many applications in the field of control, but in recen...
This paper provides an introduction to algorithms for fundamental linear algebra problems on various...
A new algorithm for the orthogonal reduction of a symmetric matrix to tridiagonal form is developed ...
We introduce a backward stable algorithm for computing the CS decomposition of a partitioned $2n \ti...
Two parallel algorithms are proposed for the solution of the General Linear Model on a SIMD array pr...
n this paper we propose new stable parallel algorithms based on Householder transformations and comp...
The polar decomposition A = UH of a rectangular matrix A, where U is unitary and H is Hermitian posi...
A triangular processor array for computing a singular value decomposition (SVD) of an $m \times n (...
An algorithm for computing the complete CS decomposition of a partitioned uni-tary matrix is develop...
Several algorithms have appeared for solving the Ordinary Linear Model (OLM), after a number of obse...
The polar decomposition of an $m \times n$ matrix $A$ of full rank, where $m \geqq n$, can be comput...
Abstract. The symmetric orthogonalization, which is obtained from the polar decomposition of a matri...
Abstract—The singular value decomposition C = UΛVT is among the most useful and widespread tools in ...
The polar decomposition of an $m x n$ matrix $A$ of full rank, where $m \geq n$, can be computed us...
International audienceThe singular value decomposition C = U*Lambda*transpose(V) is among the most u...
90 p.The polynomial matrix decomposition has many applications in the field of control, but in recen...
This paper provides an introduction to algorithms for fundamental linear algebra problems on various...
A new algorithm for the orthogonal reduction of a symmetric matrix to tridiagonal form is developed ...
We introduce a backward stable algorithm for computing the CS decomposition of a partitioned $2n \ti...