nodefstrainstressfiberla002

用多重网格方法求解泊松方程，偏微分方程求解(use multigrid method to solve poisson equation, pde solver)

有限元方法与C程序设计 介绍有限元方法原理和如何设计C程序，书后有相关代码。(Finite element method with the C programming)

包含了悉尼科技大学徐亦达老师的课程课件，有贝叶斯理论、EM算法、卡尔曼滤波、HMM、粒子滤波、概率论相关知识等(The file includes knowledge about EM, HMM, particle filter, kalman filter and so on.)

气液平衡数据进行NRTL参数最小二乘法拟合(VLE NRTL fitting)

资料中提供了对应的数据和程序，其中程序能够实现对三维数据的拟合。(It can realize data fitting)

邻带计算，高斯正反算，可以实现测绘系统内简单的转换计算，但是是基于80坐标系统的。(failed to translate)

经过修改杨成林的《瑞雷波勘探》附录得到的瑞雷面波一维频散曲线(Yang Chenglin modified Rayleigh wave of " Rayleigh wave exploration in" Appendix obtain one-dimensional dispersion curves)

有限元中LinearBarElementStiffness的matlab(FEA LinearBarElementStiffness)

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)

基于蒙特卡罗模拟的概率潮流计算 基于蒙特卡罗模拟的概率潮流计算(Probabilistic power flow calculation based on Monte Carlo simulation to calculate the probability of the trend based on Monte Carlo simulation.)