Lungelo-DOL

script to annotate (eye position) the available ORL face database

人工蜂群算法 matlab 实现，人工蜂群算法源代码(Artificial bee colony algorithm matlab implementation)

带通滤波器的matlab实现,能够滤掉低频以及高频分量(bandpass filter matlab realise bandpass filter matlab realise bandpass filter matlab realise bandpass filter matlab realise bandpass filter matlab realise )

学习MATLAB的教学课件，对初学者MATLAB有很大的帮助，(This paper is a courseware of matlab it is helpful for the beginner)

英语译成中文(简体) 所提供的功能解决在量子信息领域的共同问题。给定一个任意多粒子的状态，是真正的多方纠缠？如果被检测为纠缠状态，功能也为它提供了一个所谓的纠缠的见证。 另外一个文档，压缩文件中包含的检测和真正的多方纠缠量化功能。为此目的，乙Jungnitsch，吨Moroder和O. Gühne，物理的思想。牧师快报。 106，190502（2011）（或http://arxiv.org/abs/1010.6049）被应用。 更确切地说，提供下列文件： * fdecwit.m 一个函数来检测任何一个国家真正的多方层面多方纠缠。如果国家被检测为纠缠，它也提供了一个证人。 * fpptwit.m 此功能还可以检测真正的多方纠缠，并提供了证人。然而，所涉及的最小化是那么复杂。因此，虽然它检测到的国家较少，这个功能是一个可行的颗粒较多。 * entmon.m 评估纠缠单调在Phys主办。牧师快报。 106，190502（2011年）的多方状态。 * pt.m 辅助函数来计算一个Hermitian算子部分转置。(The provided functions tackle a common problem in the field of quantum information. Given an arbitrary multiparticle state, is it genuinely multipartite entangled ? If the state is detected as entangled, the functions also provide a so-called entanglement witness for it. Besides a documentation, the zip-file contains functions for the detection and quantification of genuine multipartite entanglement. For this purposes, the ideas of B. Jungnitsch, T. Moroder and O. Gühne, Phys. Rev. Lett. 106, 190502 (2011) (or http://arxiv.org/abs/1010.6049) are applied. More precisely, the following files are provided: * fdecwit.m A function to detect genuine multipartite entanglement of a multipartite state of any dimension. In case the state is detected as entangled, it also provides a witness. * fpptwit.m This function also detects genuine multipartite entanglement and provides a witness. However, the involved minimization is less complex. Therefore, although it detects fewer states, this f)

DBSCAN算法是一种基于密度的算法，进行DBSCAN聚类(simple DBSCAN clustering algorithm，which is based on density.)

五组在matlab中应用的小程序：（1）carspls and carsplslda，竞争性自适应重加权算法（cars）筛选特征变量，并建立PLS定量或定性模型（2）mcuvepls 蒙特卡罗抽样无关信息消除后，建立PLS定量和定性模型（3）osc，正交信号校正的多变量数据处理方法（4）plot cars-lda-mcs,表征cars-lda-mcs的结果（5）demo 对以上carspls and carsplslda，mcuvepls 方法在matlab中实现举例演示(Five groups codes in matlabapplication: (1) carspls and carsplslda, competitive adaptive re-weighted algorithm (cars) for characteristic variables selection, and the establishment of PLS ​ ​ quantitative or qualitative model (2) mcuvepls， Monte Carlo sampling and the uninformative variables elimination （UVE）， and the establishment of quantitative and qualitative PLS model (3) Orthagnal signal correction（osc）, multivariate data processing method (4) plot cars-lda-mcs, characterization results of cars-lda-mcs (5) the demo about carspls and carsplslda, mcuvepls method implementation in matlab)

MATLAB程序设计入门,概述，程序运行与安装，集成环境的使用等(Introduction to MATLAB programming, an overview of program to run with the installation, the use of integrated environment)

不同算法对时间序列进行奇异谱分解的源程序代码，matlab2006a平台调试通过(different algorithms on time series singular spectral decomposition of the source code, matlab2006a through debugging platform)

single degree of freedom numerical integration for structural dynamics