In this work we show when and how techniques based on the singular value decomposition (SVD) and the QR decomposition of a fundamental matrix solution can be used to infer if a system enjoys—or not—exponential dichotomy on the whole real line
Covariant vectors, Lyapunov vectors, or Oseledets vectors are increasingly being used for a variety ...
AbstractThe task of finding the singular-value decomposition (SVD) of a finite-dimensional complex l...
Froyland G, Hüls T, Morriss GP, Watson TM. Computing covariant Lyapunov vectors, Oseledets vectors, ...
AbstractIn this work we show when and how techniques based on the singular value decomposition (SVD)...
In this paper we propose and implement numerical methods to detect exponential dichotomy on the real...
In this work we show when and how techniques based on the singular value decomposition (SVD) and th...
AbstractIn this paper we consider the singular value decomposition (SVD) of a fundamental matrix sol...
AbstractThis paper is concerned with linear nonautonomous systems of ordinary differential equations...
In this paper we consider the singular value decomposition (SVD) of a fundamental matrix solution in...
We study the exponential dichotomy properties of nonautonomous systems of linear differential equati...
AbstractThis paper is concerned with linear systems of ordinary differential equations. A criterion ...
In this work we consider algorithms based on the singular value decomposition (SVD) to approximate L...
AbstractIt is shown that the dichotomy obtained by Lazer for diagonally dominant linear systems is a...
AbstractWe consider the singular values of an integral operator and of a corresponding square matrix...
The standard procedure to compute the singular value decomposition of a dense matrix, first reduces i...
Covariant vectors, Lyapunov vectors, or Oseledets vectors are increasingly being used for a variety ...
AbstractThe task of finding the singular-value decomposition (SVD) of a finite-dimensional complex l...
Froyland G, Hüls T, Morriss GP, Watson TM. Computing covariant Lyapunov vectors, Oseledets vectors, ...
AbstractIn this work we show when and how techniques based on the singular value decomposition (SVD)...
In this paper we propose and implement numerical methods to detect exponential dichotomy on the real...
In this work we show when and how techniques based on the singular value decomposition (SVD) and th...
AbstractIn this paper we consider the singular value decomposition (SVD) of a fundamental matrix sol...
AbstractThis paper is concerned with linear nonautonomous systems of ordinary differential equations...
In this paper we consider the singular value decomposition (SVD) of a fundamental matrix solution in...
We study the exponential dichotomy properties of nonautonomous systems of linear differential equati...
AbstractThis paper is concerned with linear systems of ordinary differential equations. A criterion ...
In this work we consider algorithms based on the singular value decomposition (SVD) to approximate L...
AbstractIt is shown that the dichotomy obtained by Lazer for diagonally dominant linear systems is a...
AbstractWe consider the singular values of an integral operator and of a corresponding square matrix...
The standard procedure to compute the singular value decomposition of a dense matrix, first reduces i...
Covariant vectors, Lyapunov vectors, or Oseledets vectors are increasingly being used for a variety ...
AbstractThe task of finding the singular-value decomposition (SVD) of a finite-dimensional complex l...
Froyland G, Hüls T, Morriss GP, Watson TM. Computing covariant Lyapunov vectors, Oseledets vectors, ...
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