FastICA by cc++

计算方法常微分初值问题-ordinary differential calculation initial value problems

用Monte-Carlo方法研究二维Ising模型的相变问题，求出临界温度T，比热C及磁化率χ-With Monte-Carlo method of two-dimensional Ising model of phase-change problem, find critical temperature T, specific heat C and susceptibility χ

31个城市的TSP问题，用蚁群算法编写的程序-TSP problem for 31 cities ,ACO program

mpi并行计算的c++代码 可用vc或gcc编译通过 可以用来搭建并行计算试验环境-mpi parallel computing available vc c code or compile gcc structures can be used to test parallel computing environment

在这工作不同类型的神经网络实现的 matlab 代码。

bubble,insertion, selection排序-bubble sort,insertion sort, selection sort

九维的卡尔曼滤波跟踪算法，包括xyz三方向和各方向的位置，速度，加速度。-Nine-dimensional Kalman filter tracking algorithm, including the three xyz direction and the location of the direction, velocity, acceleration.

霍夫曼编解码算法-Huffman decoding algorithms

机器学习(Machine Learning, ML)是一门多领域交叉学科，涉及概率论、统计学、逼近论、凸分析、算法复杂度理论等多门学科。专门研究计算机怎样模拟或实现人类的学习行为，以获取新的知识或技能，重新组织已有的知识结构使之不断改善自身的性能。它是人工智能的核心，是使计算机具有智能的根本途径，其应用遍及人工智能的各个领域，它主要使用归纳、综合而不是演绎。

资源描述This paper presents a lowcost indoor location identification and material tracking methodology for construction projects using Ultra High Frequency (UHF) passive Radio Frequency Identification (RFID) technology. Onsite location aware information is an emerging area that focuses on automating delivery of spatial information pertinent to location of materials, workforce, and equipment. This spatial information can be used to derive knowledge about construction project status. A two-step algorithm is presented to automate the process of location estimation and material tracking in near-real-time. In this methodology, a number of passive RFID tags are distributed onsite where work is progressing, and a mobile RFID reader is carried by a worker onsite. Each passive RFID tag is deployed as a reference point with a known location (landmark) within a predefined zone. Reference tags of known locations are used to d