Ref_200div_complementaryG51

用bp网络 实现神经网络学习算法 可以在matlab直接运行 其中有些参数可以自由根据情况改动(bp)

robust filtering in Krein space

采用MATLAB语言编译的数值积分函数，希望对大家有用(numerical integration)

These source code contains all the programs on pricing

matlab的期末作业，数学里的数值分析(Matlab end of the operation, mathematics Lane Numerical Analysis)

有限元方法fortran编程，包括二维三维线性非线性静态分析、稳定流瞬时流分析、振动问题、特征值问题、并行计算等。包含了所有子程序。(Finite element method fortran programming, including 2D and 3D linear and nonlinear static analysis, steady flow transient flow analysis, vibration problems, eigenvalue problems, parallel computing. Contains all subroutines.)

Detection of Facial Landmarks Using Local-Based Information

一种贪婪算法：正交匹配追踪算法的matlab代码(matlab code of orthogonal match pursuit algorithm)

matlab 时间序列模型 涵盖面很广泛 基本的时间序列模型都有说明(matlab time series models cover a wide range of basic time series models have been described)

标准粒子群算法的实现思想基本按照粒子群算法(2) 标准的粒子群算法的讲述实现。主要分为3个函数。第一个函数为粒子群初始化函数 InitSwarm(SwarmSize......AdaptFunc)其主要作用是初始化粒子群的粒子，并设定粒子的速度、位置在一定的范围内。本函数所采用的数据结构如下所示： 表ParSwarm记录的是粒子的位置、速度与当前的适应度值，我们用W来表示位置，用V来代表速度，用F来代表当前的适应度值。在这里我们假设粒子个数为N，每个粒子的维数为D。(His thought of the implementation of the standard particle swarm algorithm according to the particle swarm algorithm (2)- the standard particle swarm algorithm about implementation. Mainly divided into three functions. The first function of particle swarm initialization function InitSwarm (SwarmSize... AdaptFunc), its main function is to initialize particle swarm particle, and set the particle s velocity, position in a certain range. The function of data structure is as follows: ParSwarm record table is the particle s position, speed and the current fitness value, we use W to represent the position, represented speed with a V, to represent the current fitness value with F. Here we assume that the number of particles N, each particle dimension for D.)