LS-and-TLS

利用雷诺方程和有限元差分法，计算阶梯滑块的压力分布(Reynolds equation and the use of finite element difference method to calculate the pressure distribution of the slider ladder)

一种流形学习算法，用于非线性降维，文章发表在2000年science杂志上，是一种非常经典的算法。(A manifold learning algorithm for nonlinear dimensionality reduction, articles published in science journal in 2000, is a very classic algorithms.)

对简单开式网前推回代法计算潮流方便，已通过编译，有运行结果(back forward power flow)

分数值分析的一些ppt课件，很有用，在学习C的时候，可以用到这些博大精深的思想(Fractional value analysis ppt courseware, useful when learning C, you can use these profound thought)

说明：  Do you need to gain confidence with handling numbers and formulae? Do you want a clear, step-by-step guide to the key concepts and principles of statistics? Nearly all aspects of our lives can be subject to statistical analysis. Statistics: An Introduction shows you how to interpret, analyze and present figures. Assuming minimal knowledge of maths and using examples from a wide variety of everyday contexts, this book makes often complex concepts and techniques easy to get to grips with. This new edition has been fully updated. Whether you want to understand the statistics that you are bombarded with every day or are a student or professional coming to statistics from a wide range of disciplines, Statistics: An Introduction covers it all.

有限元计算软件Abaqus USDFLD子程序在复合材料中强度分析中的应用。(Finite element analysis software Abaqus USDFLD subroutine in the composite material strength analysis applications.)

用matlab所编用传输矩阵法计算光子晶体的能带结构的程序(prepared by using Matlab using the transfer matrix method photonic crystals with the structure of procedures)

支持向量机和BP神经网络都可以用来做非线性回归拟合，但它们的原理是不相同的，支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。大量仿真证实，支持向量机的泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。本源码可以用于线性回归、非线性回归、非线性函数拟合、数据建模、预测、分类等多种应用场合(Support vector machines and BP neural network can be used for non-linear regression fit, but they is not the same principle, support vector machine based on structural risk minimization theory, generally considered its generalization ability than the neural network of strong . Inherent defect- a large number of simulation confirmed that generalization ability of support vector machine is stronger than the BP network, but also to avoid neural network training results unstable. The source code can be used for linear regression, nonlinear regression, nonlinear function fitting a variety of applications, data modeling, forecasting, classification)

魏凤英的现代气候统计诊断与预测技术的fortran源代码，里边包括气候变化趋势分析的程序：线性倾向估计、滑动平均及一些趋势检验和函数；气候突变检测：滑动t检验、Cramer s法、Yamamoto法、Mann-Kendall法、Pettitt法Lepage法；气候序列周期的提取方法：功率谱、最大熵谱、交叉谱、多维最大熵、奇异谱分析、小波分析；以及EOF、主成分等等，总之熟悉这本书的同学，应该知道这本书的“强大”是做数理统计分析、及气象等必备的工具书啊，而且其程序，尤为宝贵！特此与大家分享！！！(WeiFengYing modern climate statistical diagnosis and prediction technology of FORTRAN source code, the inside including climate change trend analysis program: linear tend to estimate, moving average, accumulative anomaly, five, seven and nine point two times smooth cubic spline function and some trend test and functions Climate mutation detection: sliding t test, Cramer s method, Yamamoto method, Mann- Kendall method, Pettitt method Lepage method Climate sequence cycle extraction methods: power spectrum, the maximum entropy spectrum, cross spectrum, multidimensional maximum entropy, singular spectrum analysis and wavelet analysis And EOF, principal component, etc., in short familiar with this book classmate, should know the book "strong" is doing mathematical statistical analysis, and weather required reference ah, and its program, particularly precious! I share with you!!!!!! )

针对运用最小二乘法求解DV-Hop定位算法带来的节点定位误差较大的问题，提出基于代数重建法的DV-Hop定位算法(Least square method for the use of DV-Hop localization algorithm node localization errors caused by the larger issues, proposed algebraic reconstruction method based on DV-Hop localization algorithm)