本文主要介绍了凸包，凸组合，凸锥的概念以及相关运算

Optimization problems arise naturally in many application fields. Whatever people do, at some point they get a craving to organize things in a best possible way. This intention, converted in a mathematical form, turns out to be an optimization problem of certain type. Depending on the field of interest, it could be the optimal design problem, the optimal control problem, the optimal location problem or even the optimal diet problem.

CVX拼图：使用Matlab和CVX工具箱解决拼图问题（THU凸优化家庭作业）

matlab code for convex problem 很优化的使用环境，可以解决ill-posed 函数的优化问题，可以求解L1-norm,L2-norm等约束的优化问题。

Convex Optimization 剑桥大学 凸优化理论 Cambridge University Press

Borwein J.M., Lewis A.S. Convex analysis and nonlinear optimization (draft, 2000) 经典书

大师Bertsekas的经典力作，Convex Analysis and Optimization，包含教材和相应的习题答案，特别适合自学

斯坦福大学Stephen Boyd的关于凸优化的书，这是一本学习凸优化的经典书籍！

Convex Optimization 英文版和王书宁的中文翻译版，含笔记

Boyd著作Convex Optimization配套的PPT。英文书籍阅读难度大，可以参考一下这个，挺不错的