Add to ORKGIn this paper, we present an efficient algorithm for the certification of numeric singular value decompositions (SVDs) in the regular case, i.e., in the case when all the singular values are pairwise distinct. Our algorithm is based on a Newton-like iteration that can also be used for doubling the precision of an approximate numerical solution
The goal of this survey is to give a view of the state-of-the-art of computing the Singular Value De...
A new version of the simple iterations implicit method based on the singular value decomposition is ...
In this paper we present an efficient method for updating the singular value decomposition (SVD) sub...
In this paper, we present an efficient algorithm for the certification of numeric singular value dec...
In this paper we compare several implementations of Kogbetliantz's algorithm for computing the SVD o...
AbstractThe Partial Singular Value Decomposition (PSVD) subroutine computes a basis of the left and/...
Abstract. Pade ́ approximation is considered from the point of view of robust methods of numerical l...
Abstract. Pade ́ approximation is considered from the point of view of robust methods of numerical l...
In this paper, we propose a new algorithm for computing a singular value decomposition of a product ...
We shall consider a form of matrix factorization known as singular value decomposition (SVD) that is...
Padé approximation is considered from the point of view of robust methods of numerical linear algebr...
We analyze when it is possible to compute the singular values and singular vectors of a matrix with ...
The Singular Value Decomposition (SVD) is a fundamental algorithm used to understand the structure o...
AbstractThis paper reports several parallel singular value decomposition (SVD) algorithms on the hyp...
The ordinary Singular Value Decomposition (SVD) is widely used in statistical and signal processing...
The goal of this survey is to give a view of the state-of-the-art of computing the Singular Value De...
A new version of the simple iterations implicit method based on the singular value decomposition is ...
In this paper we present an efficient method for updating the singular value decomposition (SVD) sub...
In this paper, we present an efficient algorithm for the certification of numeric singular value dec...
In this paper we compare several implementations of Kogbetliantz's algorithm for computing the SVD o...
AbstractThe Partial Singular Value Decomposition (PSVD) subroutine computes a basis of the left and/...
Abstract. Pade ́ approximation is considered from the point of view of robust methods of numerical l...
Abstract. Pade ́ approximation is considered from the point of view of robust methods of numerical l...
In this paper, we propose a new algorithm for computing a singular value decomposition of a product ...
We shall consider a form of matrix factorization known as singular value decomposition (SVD) that is...
Padé approximation is considered from the point of view of robust methods of numerical linear algebr...
We analyze when it is possible to compute the singular values and singular vectors of a matrix with ...
The Singular Value Decomposition (SVD) is a fundamental algorithm used to understand the structure o...
AbstractThis paper reports several parallel singular value decomposition (SVD) algorithms on the hyp...
The ordinary Singular Value Decomposition (SVD) is widely used in statistical and signal processing...
The goal of this survey is to give a view of the state-of-the-art of computing the Singular Value De...
A new version of the simple iterations implicit method based on the singular value decomposition is ...
In this paper we present an efficient method for updating the singular value decomposition (SVD) sub...