In this paper we propose and implement numerical methods to detect exponential dichotomy on the real line. Our algorithms are based on the singular value decomposition and the QR factorization of a fundamental matrix solution. The theoretical justification for our methods was laid down in the companion paper: "Exponential Dichotomy on the real line: SVD and QR methods."
This paper introduces singular value decomposition (SVD) algorithms for some standard polynomial com...
Matrix Singular Value Decomposition (SVD) and its application to problems in signal processing is ex...
AbstractIn this paper we consider the singular value decomposition (SVD) of a fundamental matrix sol...
In this paper we propose and implement numerical methods to detect exponential dichotomy on the real...
AbstractIn this work we show when and how techniques based on the singular value decomposition (SVD)...
In this work we show when and how techniques based on the singular value decomposition (SVD) and th...
The standard procedure to compute the singular value decomposition of a dense matrix, first reduces i...
AbstractA new algorithm of Demmel et al. for computing the singular value decomposition (SVD) to hig...
A new algorithm of Demmel et al. for computing the singular value decomposition (SVD) to high relati...
In this work we consider algorithms based on the singular value decomposition (SVD) to approximate L...
A Jacobi-type updating algorithm for the SVD or URV decomposition is developed, which is related to ...
In this paper, a new algorithm for calculating the QR decomposition (QRD) of a polynomial matrix is ...
A new algorithm of Demmel et al. for computing the singular value decomposition (SVD) to high relati...
In this paper we derive a new algorithm for constructing unitary decomposition of a sequence of matr...
AbstractA Jacobi-type updating algorithm for the SVD or the URV decomposition is developed, which is...
This paper introduces singular value decomposition (SVD) algorithms for some standard polynomial com...
Matrix Singular Value Decomposition (SVD) and its application to problems in signal processing is ex...
AbstractIn this paper we consider the singular value decomposition (SVD) of a fundamental matrix sol...
In this paper we propose and implement numerical methods to detect exponential dichotomy on the real...
AbstractIn this work we show when and how techniques based on the singular value decomposition (SVD)...
In this work we show when and how techniques based on the singular value decomposition (SVD) and th...
The standard procedure to compute the singular value decomposition of a dense matrix, first reduces i...
AbstractA new algorithm of Demmel et al. for computing the singular value decomposition (SVD) to hig...
A new algorithm of Demmel et al. for computing the singular value decomposition (SVD) to high relati...
In this work we consider algorithms based on the singular value decomposition (SVD) to approximate L...
A Jacobi-type updating algorithm for the SVD or URV decomposition is developed, which is related to ...
In this paper, a new algorithm for calculating the QR decomposition (QRD) of a polynomial matrix is ...
A new algorithm of Demmel et al. for computing the singular value decomposition (SVD) to high relati...
In this paper we derive a new algorithm for constructing unitary decomposition of a sequence of matr...
AbstractA Jacobi-type updating algorithm for the SVD or the URV decomposition is developed, which is...
This paper introduces singular value decomposition (SVD) algorithms for some standard polynomial com...
Matrix Singular Value Decomposition (SVD) and its application to problems in signal processing is ex...
AbstractIn this paper we consider the singular value decomposition (SVD) of a fundamental matrix sol...