shuiku-tiao-hong-

有限元n维实体材料单元，仅供科研用途，拒绝商业使用(N-dimensional finite element solid material element, for scientific purposes, refusing commercial use)

完成采样空间的采样，适合于响应面，近似模型之前的采样工作，文件夹中有具体介绍(The sampling space is completed. It is suitable for the response surface and the sampling work before the approximation of the model. The folders are introduced in detail.)

用MATLAB实现单因素/两因素重复测量方差分析，自带工具包中只有非重复测量的方差分析函数ANOVA。anova_rm实现单因素；rm_anova2实现两因素( function stats = rm_anova2(Y,S,F1,F2,FACTNAMES) Two-factor, within-subject repeated measures ANOVA.For designs with two within-subject factors. function [p, table] = anova_rm(X, displayopt)Single factor, repeated measures ANOVA.)

说明：  FLUENT中离散相粒子追踪设置及相关计算，设计用户自定义相关内容(Discrete phase particle tracking in FLUENT)

说明：  基于结构网格二维Euler方程的Jameson求解方法 自己写的程序，网格是现成的结构网格(Jameson solution method based on two-dimensional Euler equation of structural grid. Write their own procedures, the grid is ready - made structural grid.)

说明：  计算潜在蒸发，方法为彭曼法，需要气温、日照、风速等资料，具体详见程序界面(Pe calculation)

基于Laguerre多项式的拟合程序，可以控制多项式的结束，以及变量alpha。(Based on Laguerre polynomial fitting procedure, you can control the end of polynomials, and variable alpha.)

用牛顿迭代法估计正弦信号的幅度，相位，频率，选用多次montecalor算法估计参数均值，并与理论上参数估计的CRLB下限进行比较。(Newton iterative method estimates the sinusoidal signal amplitude, phase, frequency, use multiple montecalor algorithm to estimate the parameters mean, and with the theoretical limit of parameter estimation CRLB compare.)

说明：  本程序是matlab编写的imm（交互式多模型算法）目标跟踪程序。这种方法的特点是在各模型之间“转换”，自动调节滤波带宽，和适合机动目标的跟踪。(This program is matlab written imm (interacting multiple model algorithm) target tracking program. This method is characterized among the various models &quot conversion&quot , automatically adjust filter bandwidth, and suitable for maneuvering target tracking.)

数值方法的5个重要的算法： 1.[Dirich.m] 求解拉普拉斯方程的狄利克雷方法. 用于偏微分方程的数值解 2.[Hamming.m] 汉明方法是用来修正微分方程的多步预测。 3. [Milne.m] 米尔恩 - 辛普森差分方程求解方法，用于预测校正方法。 4. [Rkf45.m]龙格 - 库塔 - 沃尔伯格错误控制和步骤的方法求解微分方程的近似解 5.[Romber.m]著名的龙贝格积分源代码。计算结果存在并显示为下三角矩阵。(Numerical Methods in five of the more important algorithms: 1. [Dirich.m] to solve the Laplace equation Dirichlet method for the numerical solution of partial differential equations 2.[Hamming.m] Hamming method is the multistep forecast corrected differential equations. 3. [Milne.m] the Milne- Simpson method as a differential equation solver used forecast correction method. 4. [Rkf45.m] Runge- Kutta- Wahlberg error control and step method for solving differential equations approximate solution 5. [Romber.m] the famous Romberg integral source code numerical integration, the presence of computable results show a lower triangular matrix.)