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用于焊接模拟的fluent的双椭球体热源UDF程序。(For welding simulation fluent double ellipsoid heat source UDF program.)

矩阵运算实矩阵相乘复矩阵相乘实矩阵求逆的全选主元高斯约当法(matrix calculation real matrix multiplication complex matrix multiplication matrix inversion is a wholly-elected PCA Gaussian about when France, etc.)

可以用于科学计算的库，数值计算库，只要将头文件包含即可。(Can be used for scientific computing libraries, numerical libraries, header files will be included as long as you can.)

计算地波传输衰减的程序,可以设置高度，大气条件等(Ground wave transmission attenuation calculation program, you can set the height, atmospheric conditions, etc.)

对于交错网格上的WCNS格式进行精度测试（不带时间方向推进，仅测试空间精度）(test the order of accuracy of the WCNS scheme)

《数值分析方法库 》本书选材内容丰富，包括了当代科学计算过程中涉及的大量内容：求特殊函数值、随机数、排序、最优化、快速傅里叶变换、谱分析、小波变换、统计描述和数据建模、偏微分议程数值解、若乾编码算法和任意精度计算等。本书科学性和实用性统一，不仅对每种算法进行了数学分析和比较，而且根据作者经验对算法给出了评论和建议，并在此基础上提供了用C++语言编写的实用程序。(《Numerical Recipes in C: The Art of Scientific Computing》, The product of a unique collaboration among four leading scientists in academic research and industry, Numerical Recipes is a complete text and reference book on scientific computing. In a self-contained manner it proceeds from mathematical and theoretical considerations to actual practical computer routines. With over 100 new routines bringing the total to well over 300, plus upgraded versions of the original routines, the new edition remains the most practical, comprehensive handbook of scientific computing available today.)

说明：  求任意一点到任意点的距离的最小值！ 对于求解一些最短距离的问题可以提供一些帮助！(seek any point to any point of the minimum distance! For some of the shortest distance to solve the problem, it can provide some help!)

使用matlab编写的时域有限差分法，pec边界的光子晶体。(Written using matlab finite difference time domain method, pec boundary of the photonic crystal.)

小波包分析提取振动信号中的特征频率，大学数值分析算法，计算互信息非常有用的一组程序。( Wavelet packet analysis to extract vibration signal characteristic frequency, University of numerical analysis algorithms, Mutual information is useful to calculate a set of procedures.)

说明：  集合卡尔曼滤波(EnKF) 数据同化方法可以避免了EKF 中协方差演变方程预报过程中出现的计算不准确和关于协方差矩阵的大量数据的存储问题,最主要的是可以有效的控制估计误差方差的增长,改善预报的效果。(Ensemble Kalman Filter (EnKF) data assimilation methods can be avoided in the EKF covariance forecasting the evolution equation arising in the course of the calculation is not accurate and on the covariance matrix of a large amount of data storage problems, the most important and effective control can be estimated error variance of the growth, improvement in forecasting results.)