xianxinghuigui

逆BROYDEN迭代法求解非线性方程组：是一种相对比较新的一种方法,克服了牛顿迭代法需要求导数和求逆的缺点。本程序提供解法和画图流程，注意多迭代几步(Inverse BROYDEN iteration method is a relatively new method for solving nonlinear equations, which overcomes the shortcomings of Newton iteration method in derivative and inversion. This program provides solution and drawing process. Remember more several steps of iteration.)

非常实用的时域仿真法暂态分析工具，利用牛顿法求解系统的微分方程组和代数方程组，得到转子摇摆曲线，判断暂态是否稳定(Very useful time-domain simulation tool for transient analysis method, using Newton method for solving systems of differential equations and algebraic equations, the rotor swing curves, to determine the stability of transient)

一个短时傅里叶变换的C语言实现，对3万个数据进行加窗、FFT处理(A short time Fourier transform of C language, for 30,000 data windowing, FFT processing)

这是一本关于大型有限元模拟软件ABAQUS的英语书籍，从入门介绍到应用实例，还可以学习英文。如果你需要你一定会喜欢的。(English contents: 1. Introduction 2.Bar Element 3.Beam Element 4.Rigid Jointed Frames 5.Stress and Strain Analysis 6.Weighted Residual Methods 7.Finite Element Approximation 8.Numerical Integration 9.Plane Problems 10.Axisymmetric Problems 11.Thin and Thick Plates )

说明：  二维河道水动力模型；matlab 迭代程序；水质模拟(Two dimensional river hydrodynamic model; MATLAB iterative program; water quality simulation)

四阶龙格库塔法，用C++编写，很有参考价值(Fourth-order Runge-Kutta method, written in C, a good reference)

自适应系数的过渡过程比较与分析 基于LMS和RLS算法比较(Adaptive coefficient of the transition process of comparison and analysis based on LMS and RLS algorithm is compared)

FCTVOF的主程序,其中FCTVOF是求解关于VOF值的运输方程的一种经典算法，可求出各时刻的各网格的VOF值，从而利用界面重构技术实现界面的重构。(FCTVOF main program, including FCTVOF is for solving the transport equation of VOF value a classic algorithm, can calculate the VOF value of each moment of each grid, so as to make use of the interface to refactor the technical implementation interface. )

该程序用于形成节点阻抗矩阵，按程序要求格式输入线路数据linedata，Zbuild（linedata）形成节点阻抗矩阵(The procedures used for the formation of the node impedance matrix format input line data linedata procedural requirements of Zbuild (linedata) node impedance matrix)

半参数回归模型在测绘领域中的应用，先利用多期数据构建半参数回归模型，然后再预报未来多期数据(Semiparametric regression model applied in the field of surveying and mapping, the first use of multi-phase data to construct semi-parametric regression model, and then predict the future multi-phase data)