encyclopedia-of-algorithm-

条件独立的有监督朴素贝叶斯分类算法。参数估计，输入训练集和测试集，得到分类结果和分类准确率(naviebayes)

基于MMSE均衡的BPSK信号BER的分析与系统性能分析( BPSK signal BER analysis uising MMSE equalization )

基于零阶近似法的稳定性叶瓣图的matlab编程(Based on the zero-order approximation of the stability lobe diagram matlab programming)

matlab语言开发的退火算法，主要用于算法的优化。可以实现寻找运行代价与通讯时间之和的近似最小值的功能，也可用于任务分配问题，本题是求50个任务分配到8台计算机的最优解。源码有详细注释，更便于理解。(matlab language development of the annealing algorithm, mainly used algorithms. Find running costs can be achieved with the communication time and the approximate minimum of the function can also be used for task allocation problem, the problem is the pursuit of the 50 tasks assigned to the optimal solution of 8 computers. Detailed source notes, is more easy to understand.)

随着人类基因组计划的实施，通过基因组测序，蛋白质序列测定结构解析等实验，分子生物学家提供了大量的有关生物分子的原始数据，需要利用现代计算技术对这些原始数据进行收集、整理、管理以便于检索使用。而为了解释和理解这些数据，还需要对数据进行比对、分析，建立计算模型，进行仿真、预测与验证，因而出现生物信息学，它的出现，极大的促进了分子生物学的发展。(With the human genome project implementation, through genome sequencing, protein sequencing experiments such as structural analysis, molecular biologists to provide a large amount of biological molecules of the original data, the need to use modern technology to these raw data collection, collation and management in order to facilitate retrieval use. To explain and understand these data, and data need to be compared to analysis, model, simulation, prediction and validation, therefore, bioinformatics, and its emergence has greatly promoted the development of molecular biology.)

1-32是：图形应用篇 33-66是：界面设计篇 67-84是：图形处理篇 85-100是：数值分析篇(1-32 is: graphics application papers 33-66 are: interface design articles 67-84 is: graphics processing chapter 85-100 is: Numerical Analysis Section)

采用稀疏表示能够实现N类M个人脸的正常识别(Using sparse representation can be achieved Class N M individual normal face recognition)

小孔径光电导天线产生太赫兹波的辐射特性(Produce small aperture photoconductive terahertz antenna radiation characteristics)

MATLAB2013超级教程，包含matlab的各种功能使用方法，适合初学者(MATLAB2013 super tutorials, contains a variety of functions to use matlab for beginners)

Training data set for MATLAB NN data classification