GA01

Simple Matlab code for the 0-1 Knapsack problem: "Given a set of items, each with a weight and a value, determine the number of each item to include in a collection so that the total weight is less than a given limit and the total value is as large as possible"

介绍怎样制作机器人，包括硬件制作 系统建模　控制算法()

用k2算法从先验概率构建贝叶斯网络，实现推理，结构学习，参数学习用贝叶斯方法。(K2 algorithm using Bayesian network built from the a priori probability to achieve reasoning, structure learning, parameter learning.)

至今最全的Copula函数计算程序，包含参数估计、模型检验、随机模拟等(Copula function has the most complete computer program, including parameter estimation, model checking, stochastic simulation, etc.)

混沌系统初值敏感性检查，指标为分叉迭代次数(initial sensitive check of chaotic map)

Anchored Neighborhood Regression for Fast Example-Based Super-Resolution

The proposed approach satisfies the integrability condition and does not need any boundary condition assumptio-ns, we have designed a stand-alone, flexible Matlab implementation that enables to evaluation the proposed approach. The experiments on real images show the approaches ability to reconstruction the surface from SFS.

this is a matlab code for zooming image

说明：  经典卡尔曼滤波器代码。对初学者十分有帮助。(Classic kalman filter code, for beginners introduction is very helpful.)

用Kalman滤波估计目标航迹的Matlab源程序,采用了最小方差法和交互多模型。(source code for estimation of target tracjectory using Kamlan filter method)