Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Hendrik Baumann"'
Autor:
Hendrik Baumann, Thomas Hanschke
Publikováno v:
Advances in Difference Equations, Vol 2021, Iss 1, Pp 1-27 (2021)
Abstract Linear differential equations usually arise from mathematical modeling of physical experiments and real-world problems. In most applications these equations are linked to initial or boundary conditions. But sometimes the solution under consi
Externí odkaz:
https://doaj.org/article/5ffc37bb38d34dbd8a05c6489efc383d
Autor:
Hendrik Baumann
Publikováno v:
Advances in Difference Equations, Vol 2019, Iss 1, Pp 1-30 (2019)
Abstract In the literature, many generalizations of continued fractions have been introduced, and for each of them, convergence results have been proved. In this paper, we suggest a definition of generalized continued fractions which covers a great v
Externí odkaz:
https://doaj.org/article/659e30227a4a4d8a8b98976c4d4d1b5a
Autor:
Hendrik Baumann, Thomas Hanschke
Publikováno v:
Journal of Applied Mathematics, Vol 2020 (2020)
In a previous paper, we have shown that forward use of the steady-state difference equations arising from homogeneous discrete-state space Markov chains may be subject to inherent numerical instability. More precisely, we have proven that, under some
Externí odkaz:
https://doaj.org/article/f453f11607dd4053be8311d691774b36
Autor:
Hendrik Baumann, Thomas Hanschke
Publikováno v:
Journal of Applied Mathematics, Vol 2020 (2020)
This paper deals with the computation of invariant measures and stationary expectations for discrete-time Markov chains governed by a block-structured one-step transition probability matrix. The method generalizes in some respect Neuts’ matrix-geom
Externí odkaz:
https://doaj.org/article/4058637ce3444a2bb4d3bb6c72c3769e
Autor:
Hendrik Baumann
Publikováno v:
Journal of Applied Mathematics, Vol 2020 (2020)
For dealing numerically with the infinite-state-space Markov chains, a truncation of the state space is inevitable, that is, an approximation by a finite-state-space Markov chain has to be performed. In this paper, we consider level-dependent quasi-b
Externí odkaz:
https://doaj.org/article/8b2b8b68670e481d9266fb6530e19638
Autor:
Berenice Anne Neumann, Hendrik Baumann
Publikováno v:
Operations Research Perspectives, Vol 5, Iss , Pp 145-149 (2018)
Fairness measures for queues were introduced for measuring the individual satisfaction of human customers with respect to the waiting experience. The measure which performs best in some sense is the expected discrimination frequency (DF). In contrast
Externí odkaz:
https://doaj.org/article/8f0d7dcf6ba149bdbdc386a5b6620235
Autor:
Hendrik Baumann, Berenice Anne Neumann
Publikováno v:
Operations Research Perspectives, Vol 5, Iss , Pp 280-287 (2018)
The phenomenon of overtaking in queueing systems and queueing networks has been addressed by several authors with various motivations in the last decades. Nevertheless, up to now, for the relatively simple M/M/2/FCFS queue, the distribution of the nu
Externí odkaz:
https://doaj.org/article/7bd97b2f5df546b5b07594bacb481194
Autor:
Hendrik Baumann, Werner Sandmann
Publikováno v:
PLoS ONE, Vol 11, Iss 3, p e0152144 (2016)
Stochastic epidemics with open populations of variable population sizes are considered where due to immigration and demographic effects the epidemic does not eventually die out forever. The underlying stochastic processes are ergodic multi-dimensiona
Externí odkaz:
https://doaj.org/article/fbe2ba2e7dd9488aad02fac113296f3d
Autor:
Thomas Hanschke, Hendrik Baumann
Publikováno v:
Advances in Difference Equations, Vol 2021, Iss 1, Pp 1-27 (2021)
Linear differential equations usually arise from mathematical modeling of physical experiments and real-world problems. In most applications these equations are linked to initial or boundary conditions. But sometimes the solution under consideration
Autor:
Hendrik Baumann
Publikováno v:
Journal of Applied Mathematics, Vol 2020 (2020)
For dealing numerically with the infinite-state-space Markov chains, a truncation of the state space is inevitable, that is, an approximation by a finite-state-space Markov chain has to be performed. In this paper, we consider level-dependent quasi-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f3269c47f0c9d02f7b6cf5dfc439485b
https://dokumente.ub.tu-clausthal.de/receive/clausthal_mods_00001872
https://dokumente.ub.tu-clausthal.de/receive/clausthal_mods_00001872