计算流队列中出现的大型块三角块托普利茨矩阵的指数
Computing the Exponential of Large Block-Triangular Block-Toeplitz Matrices Encountered in Fluid Queues
AI总结:
本文提出算法计算具有块三角块托普利茨结构的生成元矩阵指数,利用托普利茨结构和生成元性质,可处理超大规模矩阵,证明了此类生成元指数的衰减性质。
摘要:
马尔可夫流队列的埃拉格斯坦近似导致计算具有块三角块托普利茨结构的子生成元矩阵指数的问题。为此,我们提出了一些利用托普利茨结构和生成元性质的算法。这些算法允许计算非常大的矩阵的指数,这在标准方法下无法处理。我们还证明了具有块三角块托普利茨结构的生成元指数的有趣衰减性质。
英文摘要:
The Erlangian approximation of Markovian fluid queues leads to the problem of computing the matrix exponential of a subgenerator having a block-triangular, block-Toeplitz structure. To this end, we propose some algorithms which exploit the Toeplitz structure and the properties of generators. Such algorithms allow to compute the exponential of very large matrices, which would otherwise be untreatable with standard methods. We also prove interesting decay properties of the exponential of a generator having a block-triangular, block-Toeplitz structure.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。