陶哲轩谈解题

非线性优化经典著作——《methods for nonlinear least square problems》

Solomon benchmark problems

参数估计和反问题：《Parameter estimation and inverse problems》

全英文的，但却是求解最小二乘问题的经典，值得学习！

计算数学专业外文书籍，作者Y. Saad。详解特征值问题

2021年“五一杯”数学建模赛题

近似算法关于np问题，很经典的一部著作，可以好好研究近似算法关于np问题，很经典的一部著作，可以好好研究近似算法关于np问题，很经典的一部著作，可以好好研究

算法学习的进阶教材，可以用作本科阶段对算法的进阶行学习，或是研究生阶段的学习。主要描述了近似算法等内容

Advances and Open Problems in Federated Learning。Federated learning (FL) is a machine learning setting where many clients (e.g. mobile devices or whole organizations) collaboratively train a model under the orchestration of a central server (e.g. service provider), while keeping the training data decentralized. FL embodies the principles of focused data collection and minimization, and can mitigate many of the systemic privacy risks and costs resulting from traditional, centralized machine learning and data science approaches. Motivated by the explosive growth in FL research, this paper discusses recent advances and presents an extensive collection of open problems and challenges.