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PDA开发者教程.chm,适合初学者学习使用.net开发PDA的优秀教程(PDA Developer Guide. Chm, suitable for beginners learning to use. Net Development PDA excellent tutorial)

AEC 回声消除参考书，里面全面介绍了AEC相关理论。(AEC spec documents)

说明：  力扣网面试题答案，源码，供大家参考参考，祝大家面试顺利(The answer to the interview questions on the Internet, source code, for your reference, I wish you a smooth interview.)

C++经典的好书，英文原版的，chm电子文档方便阅读。(C++ Classic book, the English original, chm easy to read electronic documents.)

说明：  Reset senha DVRs NvSip or XVR Pro

完整ansys二次开发蠕变本构关系的详细代码，已经调试成功(Full details of the code creep ansys secondary development of constitutive relations, has been successful commissioning)

基于ansys的车桥耦合分析，对于车辆对桥梁挠度、加速度的影响模拟(Vehicle bridge coupling analysis based on ANSYS)

说明：  《Python网络数据采集》 第一部分　创建爬虫 第1章　初见网络爬虫 2 1．1　网络连接 2 1．2　BeautifulSoup简介 4 1．2．1　安装BeautifulSoup 5 1．2．2　运行BeautifulSoup 7 1．2．3　可靠的网络连接 8 第2章　复杂HTML解析 11 2．1　不是一直都要用锤子 11 2．2　再端一碗BeautifulSoup 12 2．2．1　BeautifulSoup的find()和findAll() 13 2．2．2　其他BeautifulSoup对象 15 2．2．3　导航树 16 ……(Python Network Data Acquisition)

通信原理第六版(国防+曹丽娜+樊昌信)课本(Communication Theory Sixth Edition (Defense+ Cao Lina+ Fan Changxin) Textbook)

本书首先介绍了MATLAB 语言的程序设计的基本内容，在此基础上系统介绍了各个应用数 学领域的问题求解，如基于MATLAB 的微积分问题、线性代数问题的计算机求解、积分变换和复变函数问题、非线性方程与最优化问题、常微分方程与偏微分方程问题、数据插值与函数逼近问题、概率论与数理统计问题的解析解和数值解法等。还介绍了较新的非传统方法如模糊逻辑与模糊推理、神经网络、遗传算法、小波分析、粗糙集及分数阶微积分学等领域。(The book begins with the introduction of the MATLAB programming language, the basic content, on the basis of the system introduced in all areas of applied mathematics problem solving, such as MATLAB-based calculus problems, linear algebra to solve computer problems, integral transforms and complex variable function problems, nonlinear equations and optimization problems, ordinary differential equations and partial differential equation problems, data interpolation and function approximation problem, Probability Theory and Mathematical Statistics Analytical Solution and Numerical Solution of such. Also introduce a relatively new non-traditional methods such as fuzzy logic and fuzzy reasoning, neural networks, genetic algorithms, wavelet analysis, rough sets and fractional calculus and other fields.)