matlab_order

matlab7.0书中的实例程序的源代码，用matlab 编写的，支持matlab7.0(Examples of procedures matlab7.0 the book s source code, using matlab prepared to support matlab7.0)

Locally-Linear Embedding (LLE)[9] was presented at approximately the same time as Isomap. It has several advantages over Isomap, including faster optimization when implemented to take advantage of sparse matrix algorithms, and better results with many problems. LLE also begins by finding a set of the nearest neighbors of each point. It then computes a set of weights for each point that best describe the point as a linear combination of its neighbors. Finally, it uses an eigenvector-based optimization technique to find the low-dimensional embedding of points, such that each point is still described with the same linear combination of its neighbors. LLE tends to handle non-uniform sample densities poorly because there is no fixed unit to prevent the weights from drifting as various regions differ in sample densities. LLE has no internal model.

说明：  用来测试基本的协同过程cooperative,一个协作通信系统的仿真,包括AF,DF协作方式,接收端采用不同的合并方式(最大比合并,选择合并)进行合并.根据接收端不同的接收合并方式进行最优功率分配(Design of cooperative system)

sampling theorem description

说明：  蚁群算法实现背包问题，可调试成功，方便大家学习。(Ant colony algorithm to achieve knapsack problem which can be debugged successfully, convenient for everyone to learn.)

《matlab与C/C++混合编程》的源代码(" Matlab and C/C++ mixed programming," the source code)

用蒙特卡罗方法实现Ising模型，以一个概率模型为基础，按照这个模型所描绘的过程，通过模拟实验的结果，作为问题的近似解(Approximate solution of the Ising model using the Monte Carlo method, based on a probabilistic model for in accordance with the process depicted in this model, the simulation results, as the problem)

一维移动最小二乘法以及最小二乘法的曲面拟合，可以直接使用(One dimensional moving least square method, which can be used directly)

一个简单的在matlab中实现曲线动态显示的例程。显示的是正弦曲线，逐步向坐标轴右移。给想要matlab动态显示提供点提示。(EnglishSpanishArabicAlpha A simple curve dynamic display routines in Matlab. Shows a sine curve, and gradually shifted to the right to the axis. To want to matlab dynamic display provides a hint.)

calcultes the Least squqres and the minimum mean square error