Zobrazeno 1 - 6
of 6
pro vyhledávání: '"David Shui Wing Hui"'
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-10 (2023)
Abstract Simulating physical dynamics to solve hard combinatorial optimization has proven effective for medium- to large-scale problems. The dynamics of such systems is continuous, with no guarantee of finding optimal solutions of the original discre
Externí odkaz:
https://doaj.org/article/d2c8095359d84bf9988141b3b6a33004
Autor:
David Shui Wing Hui, Yi-Chao Chen, Gong Zhang, Weijie Wu, Guanrong Chen, John C. S. Lui, Yingtao Li
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
Abstract This paper establishes a Markov chain model as a unified framework for describing the evolution processes in complex networks. The unique feature of the proposed model is its capability in addressing the formation mechanism that can reflect
Externí odkaz:
https://doaj.org/article/5ecf5f1bb27e4bd7888f5b36e7065a07
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 30:415-427
The Internet is a gigantic distributed system where the end-to-end (E2E) quality-of-service (QoS) plays an important role. Yet the current inter-domain routing protocol, namely, the Border Gateway Protocol (BGP), cannot provide E2E QoS guarantees. Th
Autor:
Weijie Wu, Yingtao Li, Guanrong Chen, Yi-Chao Chen, John C. S. Lui, Gong Zhang, David Shui Wing Hui
Publikováno v:
Scientific Reports
Scientific Reports, Vol 9, Iss 1, Pp 1-2 (2019)
Scientific Reports, Vol 9, Iss 1, Pp 1-2 (2019)
This paper establishes a Markov chain model as a unified framework for describing the evolution processes in complex networks. The unique feature of the proposed model is its capability in addressing the formation mechanism that can reflect the "tric
Autor:
John C. S. Lui, Guanrong Chen, Yingtao Li, Gong Zhang, David Shui Wing Hui, Weijie Wu, Yi-Chao Chen
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
Scientific Reports
Scientific Reports
This paper establishes a Markov chain model as a unified framework for describing the evolution processes in complex networks. The unique feature of the proposed model is its capability in addressing the formation mechanism that can reflect the “tr