C++程序设计课程的作业，允许使用STL。功能要求是，有注册学生、注册课程、选课、退课的功能。大体实现思路是，对于每个课程和学生，用map保存其信息，灵活方便；为实现注册功能，用指针线性表管理学生和课程，方便动态创建和统一析构；为实现选课和退课功能，维护学生和课程之间的二元关系及其逆关系（用指针序偶的集合实现）。可见，学生信息和课程信息在内存中是唯一的，选课和退课的操作都是对指针进行的，节省内存。注意，与硬盘交互的文件功能可能存在问题。

这是同作者的初级教程的继续——高级教程。用的人可能比较少，好不容易下下来。

a course in fuzzy systems and control; 王立新，模糊控制经典教程，英文原版

本书是实分析基础一部难得的好书，不少美国大学用它作为教材或辅助教材

学习傅立叶分析的重要教材 A First Course in Fourier Analysis.pdf

a first course in information theory, 信息论经典教材

学会stata有这一套就够！这些资料都是楼主个人在做论文中积累的资料：安装包破解可用，附安装教程；连玉君老师的教学视频经典而不过时，分为初级与高级班，非常适合入门；陈传波18讲可以作为初学阶段的工具书，不会的代码可随时查阅。

翁恺的c++课

The rise of probability theory changed that. Statistical inference compels us instead to rely on Fortuna as a servant of Minerva, to use chance and uncertainty to discover reliable knowledge. All flavors of statistical inference have this motivation. But Bayesian data analysis embraces it most fully, by using the language of chance to describe the plausibility of different possibilities. There are many ways to use the term “Bayesian.” But mainly it denotes a particular interpretation of probability. In modest terms, Bayesian inference is no more than counting the numbers of ways things can happen, according to our assumptions. Things that can happen more ways are more plausible. And since probability theory is just a calculus for counting, this means that we can use probability theory as a general way to represent plausibility, whether in reference to countable events in the world or rather theoretical constructs like parameters. Once you accept this gambit, the rest follows logically. Once we have defined our assumptions, Bayesian inference forces a purely logical way of processing that information to produce inference.

A+first+course+in+database+systems 数据库系统基础教程 英文版 习题答案