AbstractWe analyze the Padé method for computing the exponential of a real matrix. More precisely, we study the roundoff error introduced by the method in the general case and in three special cases: (1) normal matrices; (2) essentially nonnegative matrices (aij ≥ 0, i ≠; j); (3) matrices A such that A = D−1 BD, with D diagonal and B essentially nonnegative.For these special matrices, it turns out that the Padé method is stable. Finally, we compare the Ward upper bound with our results and show that our bounds are generally tighter
A new algorithm is developed for computing $e^{tA}B$, where $A$ is an $n\times n$ matrix and $B$ is ...
Matrix functions in general are an interesting area in matrix analysis and are used in many areas of...
The matrix exponential is a much-studied matrix function having many applications. The Fr\'echet der...
AbstractWe analyze the Padé method for computing the exponential of a real matrix. More precisely, w...
AbstractIn this work, we obtain improved error bounds for Padé approximations to eA when A is block ...
[EN] This paper presents new Taylor algorithms for the computation of the matrix exponential based o...
AbstractA new bound for the condition number of the matrix exponential is presented. Using the bound...
Abstract. A new algorithm is developed for computing etAB, where A is an n × n matrix and B is n×n0 ...
The scaling and squaring method is the most widely used method for computing the matrix exponential,...
The matrix exponential plays a fundamental role in linear differential equations arising in enginee...
The most popular algorithms for computing the matrix exponential are those based on the scaling and ...
[EN] This work gives a new formula for the forward relative error of matrix exponential Taylor appr...
New algorithms for the matrix exponential and its Fr\'echet derivative are presented. First, we der...
A new way to compute the Taylor polynomial of a matrix exponential is presented which reduces the n...
A new algorithm is developed for computing $e^{tA}B$, where $A$ is an $n\times n$ matrix and $B$ is ...
A new algorithm is developed for computing $e^{tA}B$, where $A$ is an $n\times n$ matrix and $B$ is ...
Matrix functions in general are an interesting area in matrix analysis and are used in many areas of...
The matrix exponential is a much-studied matrix function having many applications. The Fr\'echet der...
AbstractWe analyze the Padé method for computing the exponential of a real matrix. More precisely, w...
AbstractIn this work, we obtain improved error bounds for Padé approximations to eA when A is block ...
[EN] This paper presents new Taylor algorithms for the computation of the matrix exponential based o...
AbstractA new bound for the condition number of the matrix exponential is presented. Using the bound...
Abstract. A new algorithm is developed for computing etAB, where A is an n × n matrix and B is n×n0 ...
The scaling and squaring method is the most widely used method for computing the matrix exponential,...
The matrix exponential plays a fundamental role in linear differential equations arising in enginee...
The most popular algorithms for computing the matrix exponential are those based on the scaling and ...
[EN] This work gives a new formula for the forward relative error of matrix exponential Taylor appr...
New algorithms for the matrix exponential and its Fr\'echet derivative are presented. First, we der...
A new way to compute the Taylor polynomial of a matrix exponential is presented which reduces the n...
A new algorithm is developed for computing $e^{tA}B$, where $A$ is an $n\times n$ matrix and $B$ is ...
A new algorithm is developed for computing $e^{tA}B$, where $A$ is an $n\times n$ matrix and $B$ is ...
Matrix functions in general are an interesting area in matrix analysis and are used in many areas of...
The matrix exponential is a much-studied matrix function having many applications. The Fr\'echet der...