Sparse-matrix-algorithm-

说明：  基于M估计的迭代最小二乘算法，其中估计量有Huber,Andrews,Hampel,Ramsay等。(M is estimated based on the iterative least-squares algorithm, which estimates there are Huber, Andrews, Hampel, Ramsay and so on.)

本程序集对地球物理场做多种处理 如：2阶及4阶导数，位场转换，不规则密度体重力场计算，竖直圆柱体重磁场计算，用泰勒多项式及最小平方2乘的剩余异常计算，（主要适用于地磁场以及重力场的转换）(FUNCTION : THIS ROUTINE IS USED TO CALCULATE GRAVITY FOR VARIABLE DENSITY OF 2D BIVARIATE TRAPEZOID BODY Function : This program calculate derivation of order 2 and order 4 uesd in Geophysical Field（magmagnetic，gravity field） FUNCTION : THIS ROUTINE IS USED TO CALCULATE GRAVITY FOR VARIABLE DENSITY OF 2D BIVARIATE TRAPEZOID BODY Purpose: Continuation of potential fields (upward and downward continuation ) Function: This program will calculate residual anomaly,)

考虑了静态传递误差，齿轮几何偏心的影响建立3平行轴齿轮啮合动力学模型(Consider the impact of static geometry eccentric transmission error, the establishment of three parallel shaft gear gear dynamics model)

是以有限差分算法的MATLAB实现，可以运行的，给出谐振腔的场强的表示方法(finite diffenence time domain programmed by matlab language is for cavity, and its elelctro magnetic field can be showed.)

数学最优问题中，拉格朗日乘数法（以数学家约瑟夫·路易斯·拉格朗日命名）是一种寻找变量受一个或多个条件所限制的多元函数的极值的方法。(In the mathematical optimization problem, the Lagrange multiplier method (named by the mathematician Joseph Luis Lagrange) is a method of finding the extremum of a multivariate function which is restricted by one or more conditions.)

homagrapy matrix to find the homagrapy matrix from two pictures, first you need to get a set of coorlation vector

说明：  分别对beta估计值模拟分析、非中心对称分布、卡方拟合优度检验、筛选抽样随机数抽取、有限样本性质模拟这5个内容进行了编程说明(The five contents of beta estimation simulation analysis, non-centrosymmetric distribution, chi-square goodness-of-fit test, random number extraction of screening sampling and Simulation of finite sample properties are explained by programming.)

运用矩阵摄动法求解结构的复模态参数与动力特性等(Application of Matrix Perturbation Method for Solving Complex Modal Parameters and other dynamic characteristics of the structure)

管中的纵波频散曲线 直接修改其中的矩阵就可以画出频散曲线 (dispersion curvers in pipe)

8.1 最小二乘曲线拟合hpir1.c 8.2 切比雪夫曲线拟合hchir.c 8.3 最佳一致逼近的里米兹法hremz.c 8.4 矩形域的最小二乘曲面拟合hpir2.c(8.1 Least-squares curve-fitting hpir1.c 8.2 Chebyshev curve fitting the best uniform approximation hchir.c 8.3 years Meeds law hremz.c 8.4 rectangular domain least-squares surface fitting hpir2.c)