ChaosToolbox2p0_trial

利用ansys计算的应力结果，求出截面内力，再利用材料力学公式求等效应力（此例是求坝基面的等效应力）(ANSYS calculated using the stress results, obtained cross-section of internal forces, and then use the formula for the mechanical equivalent stress (in this case is to strive for the dam foundation surface equivalent stress))

说明：  经典无网格教程的随书算法的例程，属于第三章例程(Classical meshless algorithm tutorial routines with books, belonging to the third chapter routines)

说明：  随机过程在三国杀中的数学建模及matlab仿真报告(Three killed in Stochastic Process in Mathematical Modeling and Simulation Report matlab)

WiMax Matlab Simulation

几种聚类算法的比较论文，希望对大家的论文有所帮助(Comparison of several clustering algorithms paper, we want to help the paper)

在一段文字中嵌入4bit水印，方法是基于系数类嵌入的，经过打印扫描攻击后能正确提取水印(4bit watermark embedded in a piece of text, the method is based on the coefficient of class embedded, after the print scan attack correctly extract the watermark)

function nntest6(action,flag) NNTEST6 View and Control Neural network. See also SIMUFF. Koos j. den Oudsten, 1-20-99 koos@phil.uu.nl Copyright (c) 1998-99 by KoosSoft vof $Revision: 0.4 $ $Date: 1999/01/27 22:29:28 $ global Xx w1 b1 w2 b2 hidden mlp if nargin < 1 action = start end On recursive calls get all necessary handles and data. if ~strcmp(action, start ) childList = allchild(0) nn_fig = childList(find(childList == gcf)) ud = gco popupvalue = get(ud.popup, Value )

通信原理方面的一些基础matlab程序,包含数字基带传输系统中升余弦滚降系统,最佳基带系统,基带信号眼图,OOK,2PSK,2FS,MPSk,DSB,SSB,VSB(Some basic matlab programs of communication principle, including up-cosine roll-down system in digital baseband transmission system, optimal baseband system, baseband signal eye diagram, OOK, 2PSK, 2FS, MPSk, DSB, SSB, VSB)

Ant Colony Optimization (ACO) is a paradigm for designing metaheuristic algorithms for combinatorial optimization problems. The first algorithm which can be classified within this framework was presented in 1991 [21, 13] and, since then, many diverse variants of the basic principle have been reported in the literature. The essential trait of ACO algorithms is the combination of a priori information about the structure of a promising solution with a posteriori information about the structure of previously obtained good solutions.

PAPR SLM(PAPR SLM)