BladedDLLInterface

四犬相逐问题的计算机模拟 mathematica程序源代码 (Four dogs with the problem by computer simulation source code mathematica)

AFD（自适应傅立叶变换）的matlab实现代码(the matlab code of AFD algorithm)

ascii char conversion

dft频率测量算法，主要针对电网频率的测量(the dft frequency measurement algorithm)

《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.)

替代数据方法（基于相位随机化方法），检验续写的非线性(Surrogate data method (based on random-phase method), non-linear write test)

稀疏矩阵算法及其程序实现(杨绍祺+谈根林)，有解决稀疏矩阵需要的朋友可以好好认真的看一下(Sparse matrix algorithm and program implementation (Yang Shaoqi+ Tan root forest), solve sparse matrix can be a good friend in need a serious look at)

说明：  共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(Conjugate gradient method Gradient) is a method between the steepest descent method and Newton's method. It only uses the first derivative information, but overcomes the disadvantage of slow convergence of steepest descent method, and avoids the disadvantage of storing and calculating Hesse matrix and solving inverse of Newton's method. Conjugate gradient method is not only one of the most useful methods to solve large-scale linear equations, but also the most effective method to solve large-scale nonlinear optimization One of the algorithms of. Among all kinds of optimization algorithms, conjugate gradient method is very important. It has the advantages of small storage, step convergence, high stability and no external parameters.)

基于Ansys有限元软件，利用MPC技术对SOLID-SHELL单元进行连接实例—简支梁(Based on Ansys finite element software, the use of MPC SOLID-SHELL unit connected instance- Charpy)

摩擦力是抵抗固體表面，流體層和材料元件相對滑動的相對運動的力。有幾種類型的摩擦：幹摩擦是一種與之相反的力(friction is the force resisting the relative motion of solid surfaces, fluid layers, and material elements sliding against each other. There are several types of friction: Dry friction is a force that opposes the)