Convex Optimization - Algorithms and Complexity Sébastien Bubeck Theory Group, Microsoft Research

Utkin 1992德国斯普格林出版社出版 Sliding Modes in Control and Optimization

Numerical Methods for Unconstrained Optimization and Nonlinear Eauations.介绍了newton method,broyden method等诸多方法求解无约束求解非线性最小二乘问题.

Convex Optimization Algorithms原版电子版，凸优化经典教材 Dimitri P. Bertsekas Massachusetts Institute of Technology

Numerical Optimization_数值最优化；Numerical Optimization_数值最优化；Numerical Optimization_数值最优化

《Convex Analysis and Optimization》凸分析与最优化-中科大讲义 英文

A collection of GAMS license file. 优化软件GAMS的授权文件。 一共有6个授权文件。使用时复制其中一个，用记事本保存为gamslice.txt，并复制到gamside.exe所在目录即可。 Enjoy it! 授权文件好用！ 授权文件一般都有一定的使用期限， 使用时注意调整系统时间，使之与授权文件相符。 比如： 要使用第6个授权文件，可将系统日期调整为2005年8月的某一天！ GAMS(the General Algebraic Modeling System) is a high-level modeling system for mathematical programming and optimization. It consists of a language compiler and a stable of integrated high-performance solvers.

清晰 彩色 When most people hear “Machine Learning,” they picture a robot: a dependable butler or a deadly Terminator depending on who you ask. But Machine Learning is not just a futuristic fantasy, it’s already here. In fact, it has been around for decades in some specialized applications, such as Optical Character Recognition (OCR). But the first ML application that really became mainstream, improving the lives of hundreds of millions of people, took over the world back in the 1990s: it was the spam filter. Not exactly a self-aware Skynet, but it does technically qualify as Machine Learning (it has actually learned so well that you seldom need to flag an email as spam anymore). It was followed by hundreds of ML applications that now quietly power hundreds of products and features that you use regularly, from better recommendations to voice search.

元学习论文​​Optimization as a model for few-shot learning的简单理解，带有论文的详细注释和个人理解

http://blog.csdn.net/qq_33039859/article/details/78476993