Stanford

《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.)

测绘程序，计算测边网各点坐标的评查程序，值得借鉴(Mapping program to calculate the coordinates of each point measured the side-netting of assessment investigative procedures, worth learning)

最小二乘法和总体最小二乘法，来自《矩阵分析与应用》(Least squares and total least squares method the Matrix Analysis and Applications )

交错网格PML弹性波模拟地震波形的c语言程序(Staggered grid PML elastic wave seismic waveform simulation)

经典的三维有限元网格生成程序全套源代码及配套的前处理、后处理程序。用C++和Fortran开发。同时配有Manual使用手册。(a three-dimensional finite element mesh generator with built-in pre- and post-processing facilities, source codes are compiled by C++ and Fortran language, with manual.)

利用QS4算法解决N皇后问题，解决300万的皇后所需时间在5s左右，特别快(Use QS4 algorithm to solve the N-queens problem, solve 3000000 Queen the time required for about 5s, particularly fast)

三次样条插值公式C语言编程示例(Cubic spline interpolation formula C language programming examples)

PCA算法程序设计步骤： 1、去均值 2、计算协方差矩阵及其特征值和特征向量 3、计算协方差矩阵的特征值大于阈值的个数 4、降序排列特征值 5、去掉较小的特征值 6、去掉较大的特征值(一般没有这一步） 7、合并选择的特征值 8、选择相应的特征值和特征向量 9、计算白化矩阵 10、提取主分量 (PCA algorithm programming steps: 1 to mean 2, calculation of covariance matrix and its eigenvalues and eigenvectors 3, the calculation of covariance matrix eigenvalues greater than the threshold number of 4, in descending order of eigenvalue 5, remove the smaller eigenvalue 6, remove the larger eigenvalue (usually not this step) 7, the combined choice of eigenvalues 8, select the appropriate eigenvalues and eigenvectors 9, computing whitening matrix 10, principal component extraction)

岩石损伤与断裂力学一直是有限元的弱势领域，必须依赖MATLAB一类的数学软件协助，本书籍提供了基础教程与相关案例。(Rock damage and fracture mechanics have been the weak field of finite element, must rely on MATLAB class of mathematical software to help, this book provides basic tutorials and related cases.)

基于Python编写的用于曲线拟合，最小二乘法(Based on Python for curve fitting, least squares method.)