random(mt19937)

克里格法（Kriging）是地统计学的主要内容之一，从统计意义上说，是从变量相关性和变异性出发，在有限区域内对区域化变量的取值进行无偏、最优估计的一种方法；从插值角度讲是对空间分布的数据求线性最优、无偏内插估计一种方法。(Kriging (Kriging) is one of the main geostatistics, statistically speaking, is the variable correlation and variability within a limited area of the value of regionalized variables unbiased, best a method for estimation speaking the perspective of a data interpolation spatial distribution of solving linear optimal, unbiased estimate of the interpolation method.)

直接序列扩频通信系统仿真程序源码，使用maatlab语言设计的程序源码。 可直接使用。 (Direct sequence spread spectrum communication system simulation, source code, program source code using maatlab language design. Can be used directly.)

说明：  模拟蚂蚁和食蚁兽的生存规律。在20X20的网格世界里，每个生物每次可向四个方向移动（但不会移除网格边缘），食蚁兽会吃掉在他目标处的蚂蚁(The goal for this programming project is to create a simple 2D predator-prey simulation. In this simulation the prey are ants and the predators are doodlebugs. These critters live in a world composed of a 20x20 grid of cells. Only one critter may occupy a cell at a time. The grid is enclosed, so a critter is not allowed to move off the edges of the world. Time is simulated in time steps. Each critter performs some action every time step.)

bilinearquard在matlab中的实现 matlab有限元分析 源程序(bilinearquard implementation in matlab matlab source Finite Element Analysis)

C PROGRAMMING LANGUAGE(A BOOK OF C PROGRAMMING LANGUAGE)

matlab经典算法程序,可以运行通过。很好的一个遗传算法。(GA)

采用自适应信号处理技术的低成本回波抵消器(Adaptive signal processing techniques echo canceler cost)

IEEE 802.11ac 协议草案2012年5月版本。正式版本大概是2014年初才能确定。(IEEE 802.11ac draft version of the agreement in May 2012.)

弹性波二维模拟，PLM边界吸收和clayton边界吸收的比较（c++和matlab）(Two-dimensional simulation of elastic waves, PLM boundary absorption and clayton boundary on the absorption of (c++ and matlab))

说明：  在用混沌理论和神经网络进行短期负荷预测时，神经网络的输入的选择至关重要，该程序用matlabl实现了基于混沌时间序列的嵌入维数的选择(In chaos theory and neural networks with short-term load forecasting, neural network is essential to choose the input, the program implemented with matlabl chaotic time series based on the number of choices of embedding dimension)