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[JSP/JavaJava 200308132332

Description: 在这篇免费的 dW 专有的独家教程中,我们将构建一个简单聊天系统的服务器和客户机方。您将在这个过程中学到创建这样一个服务器时可以用到的基本框架,该框架使用在很多情况下都能很好工作的传统技术。我们还将讨论框架的一些限制,并找到克服这些限制的方法。-in this free stochastic proprietary exclusive Guide, We will build a simple chat server and the client side. You will be in the process of trying to create such a server can use the basic framework, The framework used in many cases can the good work of traditional technologies. We will also discuss some of the constraints of the framework, and find a way to overcome these limitations method.
Platform: | Size: 891388 | Author: | Hits:

[Other resourcekalman_C

Description: 离散随机线性系统的卡尔曼滤波。 其中13lman.c是卡尔曼滤波函数,4rinv.c是滤波函数中用到的矩阵求逆函数,13lman0.c是主程序。-discrete stochastic linear Kalman filtering system. 13lman.c which is the Kalman filter function, 4rinv.c filtering function is used in the matrix inversion function, is the main program 13lman0.c.
Platform: | Size: 2059 | Author: 通信学生 | Hits:

[Other resourcedisp_rand

Description: 本程序用matlab生成白噪声,并且基于一个离散线性随机系统的模型生成了y(k)和x(k),绘制出了x(k|k-1)和x(k)的对比曲线,求出了提前一步预报的误差协方差阵的稳定值-the procedures used Matlab generate white noise, and on a discrete linear stochastic systems model generated y (k) and x (k), mapping out the x (k | k-1) and x (k) contrast curves, get a step ahead forecasting error covariance matrix of stable value
Platform: | Size: 1086 | Author: 孙磊 | Hits:

[Other resourceRaoBlackwellisedParticleFilteringforDynamicConditi

Description: The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The software also includes efficient state-of-the-art resampling routines. These are generic and suitable for any application.-The software implements particle filteri Vi and Rao Blackwellised particle filtering az r conditionally Gaussian Models. The RB algori thm can be interpreted as an efficient stochast ic mixture of Kalman filters. The software also includes efficient state-of-the-art resampl ing routines. These are generic and suitable az r any application.
Platform: | Size: 130161 | Author: 郭剑辉 | Hits:

[Other resourcemarkov-v1.0-src

Description: 一个用于解决马尔可夫过程的源代码,很适合学习随机过程的同学1-a Markov process for the settlement of the source code, are very suitable for studying stochastic process a classmate
Platform: | Size: 14541 | Author: 文文 | Hits:

[Other resourcebook_Applied_Stochastic_Processes_and_Control

Description: 关于应用随机过程的电子教材,英文的,值得一看-on the application of stochastic process of e-learning materials in English, an eye-catcher
Platform: | Size: 4927836 | Author: 赵永丽 | Hits:

[WEB Codefenxingshusixiang

Description: Electromagnetic scattering from the trees above a tilted rough ground plane generated by the stochastic Lidenmayer system is studied by Monte Carlo simulations in this paper.The scattering coefficients are calculated in three methods:coherent addition approximation,tree-independent scattering,and independent scattering.
Platform: | Size: 67530 | Author: lan | Hits:

[Other resourceStochasticSimulation

Description: (随机模拟)Stochastic Simulation(已加注)-(stochastic simulation) Stochastic Simulation (endorsement)
Platform: | Size: 189751 | Author: 王则 | Hits:

[Other resourceSADeterministicStochastic

Description: Simulated Annealing for both Stochastic models and Deterministic models-Simulated Annealing for both Stochastic m odels and Deterministic models
Platform: | Size: 4357 | Author: Orion | Hits:

[Other resourceekff

Description: 用Matlab编写的求解高斯线型随机差分方程的离散扩展卡尔曼滤波程序。-Matlab prepared for the linear Gaussian stochastic differential equation expansion of discrete Kalman filter procedures.
Platform: | Size: 1791 | Author: luqing | Hits:

[Develop ToolsAFirstCoursntochasticModels

Description: *** ****A First Course in Stochastic Models.rar-*** *** *** *** *** *** *** *** *** *** ***** A First Course in Stocha stic Models.rar
Platform: | Size: 2808072 | Author: meirong | Hits:

[Special Effectsbjnhkz

Description: 实现边界随机微分方程拟合控制,程序可在MATLAB环境下运行-achieve stochastic differential equations fitting border control procedures in the operating environment MATLAB
Platform: | Size: 207454 | Author: 杨焱 | Hits:

[Other resourcemotkaluo

Description: 蒙特卡罗算法,可以了解和应用。 随机模拟方法-Monte Carlo algorithm, can understand and use. Stochastic Simulation
Platform: | Size: 1017291 | Author: wuren | Hits:

[Other resourceCDAPSO

Description: 一种新的随机优化技术:基于群落动态分配的粒子群优化算法(Community Dynamic Assignation-based Particle Swarm Optimization,CDAPSO)。新算法通过动态改变粒子群体的组织结构和分配特征来维持寻优过程中启发信息的多样性,从而使其全局收搜索能力得到了显著提高,并且能够有效避免早熟收敛问题。-a new stochastic optimization techniques : Community-based dynamic allocation of PSO algorithm (Dynamic Community Assigna tion-based Particle Swarm Optimization, CDAPSO). New Algorithm for dynamic change particle group's organizational structure and distribution to maintain the optimization process enlightening information diversity, thus the overall admission search capability has been significantly improved, and can effectively prevent premature convergence.
Platform: | Size: 6744 | Author: wuyuqian | Hits:

[WEB Codeitonpose

Description: 型随机微分方程的线性二次控制,线性二次控制 -stochastic differential equation of the linear quadratic control, linear quadratic control the linear quadratic control
Platform: | Size: 250867 | Author: wang | Hits:

[Graph programcolorgrad

Description: This paper addresses a stochastic-#ow network in which each arc or node has several capacities and may fail. Given the demand d, we try to evaluate the system reliability that the maximum #ow of the network is not less than d. A simple algorithm is proposed \"rstly to generate all lower boundary points for d, and then the system reliability can be calculated in terms of such points. One computer example is shown to illustrate the solution procedure.
Platform: | Size: 1289 | Author: 郑林 | Hits:

[Technology Managementfailure

Description: This paper addresses a stochastic-#ow network in which each arc or node has several capacities and may fail. Given the demand d, we try to evaluate the system reliability that the maximum #ow of the network is not less than d. A simple algorithm is proposed \"rstly to generate all lower boundary points for d, and then the system reliability can be calculated in terms of such points. One computer example is shown to illustrate the solution procedure.
Platform: | Size: 86822 | Author: 郑林 | Hits:

[Technology Managementconstraint

Description: This paper addresses a stochastic-#ow network in which each arc or node has several capacities and may fail. Given the demand d, we try to evaluate the system reliability that the maximum #ow of the network is not less than d. A simple algorithm is proposed \"rstly to generate all lower boundary points for d, and then the system reliability can be calculated in terms of such points. One computer example is shown to illustrate the solution procedure.
Platform: | Size: 171636 | Author: 郑林 | Hits:

[Technology Managementbudget

Description: This paper addresses a stochastic-#ow network in which each arc or node has several capacities and may fail. Given the demand d, we try to evaluate the system reliability that the maximum #ow of the network is not less than d. A simple algorithm is proposed \"rstly to generate all lower boundary points for d, and then the system reliability can be calculated in terms of such points. One computer example is shown to illustrate the solution procedure.
Platform: | Size: 171548 | Author: 郑林 | Hits:

[Technology Managementunreliable

Description: This paper addresses a stochastic-#ow network in which each arc or node has several capacities and may fail. Given the demand d, we try to evaluate the system reliability that the maximum #ow of the network is not less than d. A simple algorithm is proposed \"rstly to generate all lower boundary points for d, and then the system reliability can be calculated in terms of such points. One computer example is shown to illustrate the solution procedure.
Platform: | Size: 149245 | Author: 郑林 | Hits:
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