Description: IEEE论文 Algorithms for routing and centralized scheduling in IEEE 802.16 mesh networks-IEEE paper Algorithms for routing and centralized scheduling in IEEE 802.16 mesh networks Platform: |
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Author:徐海荣 |
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Description: 徐士良版常用算法程序集中有关奇异值算法的手写程序。-XU Shi-liang common algorithms for a centralized version of the singular value decomposition of the handwriting process. Platform: |
Size: 950272 |
Author:dingyang |
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Description: 有一个停车场，有m个进口，n个出口，k个空车位。要求每一刻只能有一个进口有车进入。停车场内没有一个集中的管理者，采用分布式的算法实现。能够动态的增加一个进口节点。-There is a parking lot, there are m-imported, n outlet, k empty parking spaces. Requires that every moment there can be only one import a car to enter. Car park does not have a centralized manager, using distributed algorithms. Be able to dynamically add a node imports. Platform: |
Size: 28672 |
Author:秦佳佳 |
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Description: "Ethernet in the First Mile" (EFM) is an upcoming standard currently being drafted by the 802.3ah task force in the IEEE organization. One of the tracks in the standard deals with Ethernet over Passive Optical Network (EPON), a centralized point-to-multi-point network with a shared upstream channel. This paper deals with the problem of upstream bandwidth allocation in EPON networks. We suggest, analyze, and compare several bandwidth allocation algorithms. As a novel type of network, EPON presents many new challenges, and one of the main goals of this project was to get a feel for the network in order to decide on the next steps in its exploration. To that end, we have constructed an OPNET model of an EPON network based on the IEEE - "Ethernet in the First Mile" (EFM) is an upcoming standard currently being drafted by the 802.3ah task force in the IEEE organization. One of the tracks in the standard deals with Ethernet over Passive Optical Network (EPON), a centralized point-to-multi-point network with a shared upstream channel. This paper deals with the problem of upstream bandwidth allocation in EPON networks. We suggest, analyze, and compare several bandwidth allocation algorithms. As a novel type of network, EPON presents many new challenges, and one of the main goals of this project was to get a feel for the network in order to decide on the next steps in its exploration. To that end, we have constructed an OPNET model of an EPON network based on the IEEE Platform: |
Size: 508928 |
Author:yavar |
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Description: A Raniwala和K Gopalan 教授的多信道分配的集中式算法，经测试完全通过。实验环境是cygwin+ns2.29。-Implementation of centralized greedy algorithm as detailed in--
Centralized Algorithms for Multi-channel Wireless Mesh Networks
(A Raniwala, K Gopalan Prof Chiueh)
appears in ACM SIGMOBILE Mobile Computing and Communications Review (MC2R) April 04 issue Platform: |
Size: 26624 |
Author:王楠 |
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Description: 数学建模常用的集中算法，包括简单的BP神经网络、G（1,1）灰色预测、微分方程等算法-Commonly used mathematical modeling centralized algorithm, including simple BP neural network, G (1,1) gray prediction, differential equations and other algorithms Platform: |
Size: 34816 |
Author:焦帅 |
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Description: TSP问题是一个典型的、容易描述但是难以处理的NP完全问题，同时TSP问题也是诸多领域内出现的多种复杂问题的集中概括和简化形式。目前求解TSP问题的主要方法有启发式搜索法、模拟退火算法、遗传算法、Hopfield神经网络算法、二叉树描述算法。所以，有效解决TSP问题在计算理论上和实际应用上都有很高的价值，而且TSP问题由于其典型性已经成为各种启发式的搜索、优化算法的间接比较标准(如遗传算法、神经网络优化、列表寻优(TABU)法、模拟退火法等)。遗传算法就其本质来说，主要是解决复杂问题的一种鲁棒性强的启发式随机搜索算法。因此遗传算法在TSP问题求解方面的应用研究，对于构造合适的遗传算法框架、建立有效的遗传操作以及有效地解决TSP问题等有着多方面的重要意义。-The TSP The problem is a typical, easy to describe but difficult to handle the NP-complete problem, the TSP many areas centralized summarized and simplified form of a variety of complex issues. The main method of solving TSP heuristic search method, simulated annealing, genetic algorithm, Hopfield neural network algorithm, the binary tree to describe the algorithm. Therefore, an effective solution to the TSP has a very high value in the calculation of the theoretical and practical applications, and TSP problem has become due to its typical variety of heuristic search, optimization of indirect comparison standard (such as genetic algorithms, neural networks optimization list optimization (TABU), simulated annealing, etc.). The genetic algorithm is by its very nature, a robustness to solve complex problems heuristic random search algorithm. Genetic algorithm TSP problem solving aspects of applied research, genetic algorithm framework for constructing a suitable, effective genetic manipul Platform: |
Size: 1280000 |
Author:孟晓龙 |
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Description: 以监控和控制为目的的算法因为其数据要在数据中心汇总和处理，大多使用集中式算法，其精度较高，但通信量大。分布式算法是传感器节点在采集周围节点的信息后，在其自身的后台执行定位算法，该方法可以降低网络通信量，但目前节点的能量，计算能力及存储能力有限，复杂的算法难以在实际平台中实现-To monitor and control algorithms for the purpose because of its data to be aggregated and processed in the data center, mostly using centralized algorithm, its high accuracy, but the communication volume. Distributed algorithm is the information collected in the sensor nodes around node positioning algorithm executed in its own background, the method can reduce network traffic, the limited energy of the current node, computing power and storage capacity, the actual complex algorithms difficult platform to achieve Platform: |
Size: 4036608 |
Author:yangwenjuan |
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Description: Abstract—In this paper we propose the channel assignment
scheme for multi-channel wireless mesh network (WMN), where
each mesh router is equipped with multiple radio interfaces. In
real WMN the number of radio interfaces is much higher than
the number of non-overlapping channels, which causes a lot of
connections between mesh nodes operate on the same radio
channel. Increasing number of simultaneous transmissions on the
same channel causes interference, which limits network capacity.
This paper presents a new centralized channel assignment
scheme called first random channel assignment algorithm
(FRCA). This algorithm efficiently utilizes radio interfaces to
achieve improvement of the network capacity. NS-2 simulator
was used to evaluate the performance of proposed solution and
simulation results were compared with others channel
assignment algorithms Platform: |
Size: 396288 |
Author:fahim68 |
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Description: 本文对社交网络平台管理的过滤算法对集体意见的影响进行了建模和研究。提出了一种随机多主体意见动力学模型，该模型考虑了个体间相互作用强度的集中调整。每一种意见的演变都用马尔可夫链来描述，其转化率通过影响参数受到邻居意见的影响。在一般情况下以及在特殊情况下研究了该模型的性质。(In this paper,the effect on collective opinions of filtering algorithms managed by social network platforms is modeled and investigated. A stochastic multi-agent model for opinion dynamics is proposed, that accounts for a centralized tuning of the strength of interaction between individuals. The evolution of each individual opinion is described by a Markov chain, whose transition rates are affected by the opinions of the neighbors through influence parameters. The properties of this model are studied in a general setting as well as in interesting special cases.) Platform: |
Size: 785408 |
Author:pangt |
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Search - CENTRALIZED ALGORITHMS