NEWMARKmethod

脂润滑滑块接触滑块的计算方法，给定雷诺方程和膜厚方程，然后用迭代方法计算压力分布和膜厚分布，以及承载能力(Greased slide contact with the calculation method of the slider, a given Reynolds equation and the film thickness of the equation, and pressure distribution and film thickness distribution, as well as carrying capacity is then calculated by using iterative methods)

由美国圣母大学Jena教授及其学生编写的关于计算半导体迁移率的matla脚本文件。(Jena professor from the University of Notre Dame and his students prepare for the calculation of a series of semiconductor mobility matlab script file.)

模拟波动方程的有限元程序，计算波场快照，有程序说明！(Simulation of the wave equation, the finite element program, calculate the wave field snapshot, procedural instructions)

包括基本的克里金(Kriging)插值法实现代码，仅实现基本方法部分，不包含扩展克里金方法( kriging uses ordinary kriging to interpolate a variable z measured at locations with the coordinates x and y at unsampled locations xi, yi. The function requires the variable vstruct that contains all necessary information on the variogram. vstruct is the forth output argument of the function variogramfit. This is a rudimentary, but easy to use function to perform a simple kriging interpolation. I call it rudimentary since it always includes ALL observations to estimate values at unsampled locations. This may not be necessary when sample locations are not within the autocorrelation range but would require something like a k nearest neighbor search algorithm or something similar. Thus, the algorithms works best for relatively small numbers of observations (100-500). For larger numbers of observations I recommend the use of GSTAT. Note that kriging fails if there are two or more observa)

大数类，重载了各类操作符，可以直接使用(fate categories, a variety of heavy-duty operator can be used directly)

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)

变步长网格，声波方程，有限差分数值模拟程序，二阶(Variable step mesh, acoustic equation, finite difference numerical simulation program, second order)

纤维状多孔材料的D_B吸声模型，用于计算高孔隙率的刚性多孔材料的吸声系数(D_B absorption model fibrous porous material for sound absorption coefficient high porosity rigid porous material)

用于求解非线性代数方程的全部解的函数，提供给大家学习使用(solutions, available to everyone learning to use)

动态贝叶斯网络的介绍，包括现阶段研究状况与应用(Introduction to dynamic Bayesian networks, including the present status of research and application of)