Zobrazeno 1 - 10
of 1 082
pro vyhledávání: '"John N. Tsitsiklis"'
Autor:
Bard, Jonathan F.
Publikováno v:
Interfaces, 2000 Jul 01. 30(4), 96-98.
Externí odkaz:
https://www.jstor.org/stable/25062625
Includes bibliographical references (p. 10).
Supported by ONR. N00014-85-K-0519 (NR 649-003) Supported by NSF. ECS-8552419
Supported by ONR. N00014-85-K-0519 (NR 649-003) Supported by NSF. ECS-8552419
Externí odkaz:
http://hdl.handle.net/1721.1/3251
Publikováno v:
Stochastic Systems, Vol 6, Iss 1, Pp 1-25 (2016)
We study the optimal scaling of the expected total queue size in an n×n input-queued switch, as a function of the number of ports n and the load factor ρ, which has been conjectured to be Θ(n/(1−ρ)) (cf. [15]). In a recent work [16], the validi
Externí odkaz:
https://doaj.org/article/71e1c58352c04b26a90a53bf9e49ffda
Publikováno v:
Operations Research. 69:1575-1590
We formulate a private learning model to study an intrinsic tradeoff between privacy and query complexity in sequential learning. Our model involves a learner who aims to determine a scalar value, $v^*$, by sequentially querying an external database
Publikováno v:
Mathematics of Operations Research, 47(3), 1862-1874. INFORMS Institute for Operations Research and the Management Sciences
We consider a heterogeneous distributed service system, consisting of $n$ servers with unknown and possibly different processing rates. Jobs with unit mean and independent processing times arrive as a renewal process of rate $\lambda n$, with $0
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ac6a99170b71fa3d87cc7be3d8f8258
https://research.tue.nl/nl/publications/ba903f91-c611-4a29-8cb9-26104537684a
https://research.tue.nl/nl/publications/ba903f91-c611-4a29-8cb9-26104537684a
Autor:
Hoda Eydgahi, William W Chen, Jeremy L Muhlich, Dennis Vitkup, John N Tsitsiklis, Peter K Sorger
Publikováno v:
Molecular Systems Biology, Vol 9, Iss 1, Pp 1-17 (2013)
Abstract Using models to simulate and analyze biological networks requires principled approaches to parameter estimation and model discrimination. We use Bayesian and Monte Carlo methods to recover the full probability distributions of free parameter
Externí odkaz:
https://doaj.org/article/b00735b9ca8340b3a718ad88b7740f8a
Publikováno v:
Ann. Appl. Probab. 30, no. 2 (2020), 870-901
arXiv
Annals of Applied Probability, 30(2), 870-901. Institute of Mathematical Statistics
arXiv
Annals of Applied Probability, 30(2), 870-901. Institute of Mathematical Statistics
We consider the following distributed service model: jobs with unit mean, general distribution, and independent processing times arrive as a renewal process of rate $\lambda n$, with $0
Comment: 44 pages
Comment: 44 pages
Publikováno v:
MIT web domain
We consider a class of continuous-time hybrid dynamical systems that correspond to subgradient flows of a piecewise linear and convex potential function with finitely many pieces, and which includes the fluid-level dynamics of the Max-Weight scheduli
Autor:
Kuang Xu, John N. Tsitsiklis
Publikováno v:
Stochastic Systems, Vol 2, Iss 1, Pp 1-66 (2012)
We propose and analyze a multi-server model that captures a performance trade-off between centralized and distributed processing. In our model,a fraction p of an available resource is deployed in a centralized manner (e.g., to serve a most-loaded sta
Externí odkaz:
https://doaj.org/article/df6a96225e89415b9048e8a490b22000
Publikováno v:
CONTROL of UNCERTAIN DYNAMIC SYSTEMS ISBN: 9781003067702
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64dab5dde5c09c943031ea3713d7d02e
https://doi.org/10.1201/9781003067702-24
https://doi.org/10.1201/9781003067702-24