fdtd-codes

semi-supervised LLE,matlab codes.

Advances in data collection and storage capabilities during the past decades have led to an information overload in most sciences. Researchers working in domains as diverse as engineering, astronomy, biology, remote sensing, economics, and consumer transactions, face larger and larger observations and simulations on a daily basis. Such datasets, in contrast with smaller, more traditional datasets that have been studied extensively in the past, present new challenges in data analysis. Traditional statistical methods break down partly because of the increase in the number of observations, but mostly because of the increase in the number of variables associated with each observation. The dimension of the data is the number of variables that are measured on each observation.

包括：用基本粒子群算法求解无约束优化问题，用带压缩因子的粒子群算法求解无约束优化问题，用线性递减权重粒子群优化算法求解无约束优化问题，用自适应权重粒子群优化算法求解无约束优化问题，用随机权重粒子群优化算法求解无约束优化问题，用学习因子同步变化的粒子群优化算法求解无约束优化问题，用学习因子异步变化的粒子群优化算法求解无约束优化问题，用二阶粒子群优化算法求解无约束优化问题，用二阶振荡粒子群优化算法求解无约束优化问题(Include: using the particle swarm algorithm for unconstrained optimization problems, with compression factor of particle swarm algorithm for solving unconstrained optimization problem with linear decreasing weight particle swarm optimization for unconstrained optimization problems, an adaptive weight particle swarm optimization unconstrained optimization problems, random weight particle swarm optimization algorithm for unconstrained optimization problems, with the learning factor synchronous change of particle swarm optimization algorithm for unconstrained optimization problems, with the learning factor asynchronous changes in particle swarm optimization algorithm for solving unconstrained optimization problem , with the second particle swarm optimization for unconstrained optimization problems, with the second-order oscillating particle swarm optimization algorithm for unconstrained optimization problem)

visual c++ FOR EMBEDDED SYSTEMS AND FOR REAL TIME APPLICATIONS

principal_chaleur a routine for implementing the EF P1 Lagrange for the heat equation in the following stationary condition with Nonhomogeneous Dirichlet

slam进阶学习，老外做的，很完善的东西，对于同时定位与地图创建的friend有很大的帮助(slam Advanced study, foreigners do things very well, for localization and mapping at the same time created a great friend to help)

该程序是music谐波恢复算法仿真，由仿真结果证明music算法可以准确进行谐波估计。(The program is music harmonic retrieval algorithm simulation, the simulation results show that the harmonic music algorithm can accurately estimate.)

programa de perceptron en matlab

基于遗传算法的TSP算法，寻找最短的遍历N个城市的路径(TSP algorithm based on genetic algorithm to find the shortest path traversal N cities)

介绍了matlab的一些案例 并介绍了相关的一些函数的用法 (introduce some matlab cases and the use of some function)