Stochastic networks / by Kelly, Frank, 1950-, author, Yudovina, Elena, author

Reversibility and stochastic networks / by 404483 Kelly, F. P.

Locations of Medians on Stochastic Networks by Mirchandani, Pitu B., Odoni, Amedeo R.

“…Under a particular set of assumptions, it is shown that the well-known theorems of HAKIMI and of LEVY can be extended to such stochastic networks. The concepts are further extended to the case of stochastic oriented networks. …”
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Stochastic network link transmission model by Flotterod, Gunnar, Osorio Pizano, Carolina

“…Additionally, the network model maintains mutually consistent overlapping subnetwork distributions. Second, a stochastic network link transmission model (SLTM) is formulated that builds on the proposed queueing network decomposition and on the stochastic single-link model of Osorio and Flötteröd (2015). …”
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Location of facilities on a stochastic network

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Performance modeling, stochastic networks, and statistical multiplexing / by Mazumdar, Ravi Rasendra, 1955-

An approach to planning and control of stochastic network flows by Paskowitz, Michael J. (Michael Joseph), 1977-

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Communication networks : an optimization, control, and stochastic networks perspective / by 483193 Srikant, R. (Rayadurgam), author, Ying, Lei, author

On Massively Parallel Algorithm for Nonlinear Stochastic Network Problems by Nielson, Soren S., Zenios, Stavros A.

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EQUILIBRIUM DISTRIBUTIONS OF STOCHASTIC NETWORKS WITHOUT DETAILED BALANCE by Coolen, A, Sherrington, D

Convergence of asynchronous distributed gradient methods over stochastic networks by Xu, Jinming, Zhu, Shanying, Soh, Yeng Chai, Xie, Lihua

“…In this paper, we are particularly interested in scenarios, where agents are operating asynchronously over stochastic networks subject to random failures. Most existing algorithms require coordinated and decaying stepsizes to ensure zero gap between the estimated value of each agent and the exact optimum, restricting it from asynchronous implementation and resulting in slower convergence results. …”
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On the Exiting Patterns of Multivariate Renewal-Reward Processes with an Application to Stochastic Networks by Ryan T. White

“…The analytic and numerical tractability of the result are demonstrated by an application to the reliability of stochastic networks and some other special cases. Results are shown to agree with empirical probabilities generated through simulation of the process.…”
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Stability of Stochastic Networks with Proportional Delays and the Unsupervised Hebbian-Type Learning Algorithm by Famei Zheng, Xiaojing Wang, Xiwang Cheng

“…The stability problem of stochastic networks with proportional delays and unsupervised Hebbian-type learning algorithms is studied. …”
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Stochastic Network Calculus-Aided Delay Analysis of Wireless-Power Line Mixed Networks by Zheng Li, Haiming Hong, Lin Pang, Muyu Mei, Qinghai Yang

Subjects: “…stochastic network calculus…”
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Probabilistic inference in general graphical models through sampling in stochastic networks of spiking neurons. by Dejan Pecevski, Lars Buesing, Wolfgang Maass

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Efficient calibration of microscopic car-following models for large-scale stochastic network simulators by Osorio Pizano, Carolina, Punzo, Vincenzo

“…This paper proposes a simulation-based optimization methodology for the efficient calibration of microscopic traffic flow models (i.e., car-following models) of large-scale stochastic network simulators. The approach is a metamodel simulation-based optimization (SO) method. …”
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Assessment of energy storage systems as a reserve provider in stochastic network constrained unit commitment by M. Habibi, V. Vahidinasab, J. Aghaei, B. Mohammadi‐Ivatloo

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Enhancing sustainability in logistics through stochastic network routing mechanism optimization using ant colony algorithm by Dhurgham Al-Tayar, Zainab Alisa

“… Stochastic networks are one of the most prevalent types of networks these days. …”
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From computer systems to power systems: using stochastic network calculus for flexibility analysis in power systems by Tim Fürmann, Michael Lechl, Hermann de Meer, Anke Weidlich

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Ensuring SDN Resilience under the Influence of Cyber Attacks: Combining Methods of Topological Transformation of Stochastic Networks, Markov Processes, and Neural Networks by Igor Kotenko, Igor Saenko, Andrey Privalov, Oleg Lauta

Subjects: “…method of topological transformation of stochastic networks…”
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