…Mathematical Plays (by Berlekamp et al.) - Elements of Information Theory (by Cover & Thomas) - Information Theory, Inference, and Learning Algorithms (by MacKay) - Network Optimization (by Bertsekas) - Convex Optimization (by Boyd & Vandenberghe) - Nonlinear Control Systems (by Isidori) - Visual Complex Analysis (by Needham) - Lasers (by Siegman) - Game Theory (by Fudenberg & Tirole) - Trading and Exchanges (by Harris)…
…could actually vouch for would be: CLRS Russell and Norvig Introduction to IR (Manning et al) Database Systems: The Complete Book Others that I've heard good things about are: Dragon Book Convex Optimization (Boyd) Probabilistic Robotics Foundations of Statistical NLP I'd really like a good distributed systems or distributed databases book (rather than reading old Lamport papers or something), as well…
…Wolsey https://books.google.com/books?id=x7RvQgAACAAJ 整数规划的各种冷门建模奇技淫巧，参考 H. Paul Williams 的《Logic and Integer Programming》https://www.springer.com/us/book/9780387922799 凸规划建模技巧，参考 Stephen Boyd 和 Lieven Vandenberghe 的《Convex Optimization》https://stanford.edu/~boyd/cvxbook/ 基础非线性优化算法，参考 Jorge Nocedal 和 S. Wright 的《Numerical Optimization》https://www.springer.com/us/book/9780387303031…
…Wolsey https://books.google.com/books?id=x7RvQgAACAAJ For odd modeling tricks for integer programming, Logic and Integer Programming by Williams, H. Paul https://www.springer.com/us/book/9780387922799 For modeling tricks for convex programming, Convex Optimization by Stephen Boyd and Lieven Vandenberghe https://stanford.edu/~boyd/cvxbook/ For basic nonlinear optimization algorithms, Numerical Optimization by Nocedal, Jorge, Wright, S. https://www.springer.com/us/book/9780387303031…
…Durrett, R. (2005). 《概率：理论与实例》Duxbury。机器学习研究也是建立在优化理论之上的。一本能带你入门线性优化、为凸优化打好基础的好书：8.) Bertsimas, D. 与 Tsitsiklis, J. (1997). 《线性优化导论》Athena。然后你就可以进阶到：9.) Boyd, S. 与 Vandenberghe, L. (2004). 《凸优化》…
…Durrett, R. (2005). "Probability: Theory and Examples" Duxbury. Machine learning research also reposes on optimization theory. A good starting book on linear optimization that will prepare you for convex optimization: 8.) Bertsimas, D. and Tsitsiklis, J. (1997). "Introduction to Linear Optimization" Athena. And then you can graduate to: 9.) Boyd, S. and Vandenberghe, L. (2004). "Convex Optimization"…
For theoretical continuous/nonlinear/convex optimization, your #1 is the bible, together with "Convex Optimization" by Boyd & Vandenberghe. However, beware that both are grad textbooks. They can be tough going at times. Unfortunately, I never found undergrad…
…《数学游戏》（Berlekamp 等著） - 《信息论基础》（Cover 与 Thomas 著） - 《信息论、推理与学习算法》（MacKay 著） - 《网络优化》（Bertsekas 著） - 《凸优化》（Boyd 与 Vandenberghe 著） - 《非线性控制系统》（Isidori 著） - 《复分析可视化方法》（Needham 著） - 《激光》（Siegman 著） - 《博弈论》（Fudenberg 与 Tirole 著） - 《交易与交易所》（Harris 著）…
…Mathematical Plays (by Berlekamp et al.) - Elements of Information Theory (by Cover & Thomas) - Information Theory, Inference, and Learning Algorithms (by MacKay) - Network Optimization (by Bertsekas) - Convex Optimization (by Boyd & Vandenberghe) - Nonlinear Control Systems (by Isidori) - Visual Complex Analysis (by Needham) - Lasers (by Siegman) - Game Theory (by Fudenberg & Tirole) - Trading and Exchanges (by Harris)…
…我能拍胸脯打包票的其实就这几本：CLRS、Russell 和 Norvig 的书、IR 导论（Manning 等著）、《数据库系统全书》。其他我听说口碑很棒的有：龙书、凸优化（Boyd）、概率机器人、统计 NLP 基础。我倒真的很想要一本优质的分布式系统或分布式数据库的书（而不是去啃 Lamport 的老 paper 之类的），还有…
…could actually vouch for would be: CLRS Russell and Norvig Introduction to IR (Manning et al) Database Systems: The Complete Book Others that I've heard good things about are: Dragon Book Convex Optimization (Boyd) Probabilistic Robotics Foundations of Statistical NLP I'd really like a good distributed systems or distributed databases book (rather than reading old Lamport papers or something), as well…
…Wolsey https://books.google.com/books?id=x7RvQgAACAAJ 整数规划的各种冷门建模奇技淫巧，参考 H. Paul Williams 的《Logic and Integer Programming》https://www.springer.com/us/book/9780387922799 凸规划建模技巧，参考 Stephen Boyd 和 Lieven Vandenberghe 的《Convex Optimization》https://stanford.edu/~boyd/cvxbook/ 基础非线性优化算法，参考 Jorge Nocedal 和 S. Wright 的《Numerical Optimization》https://www.springer.com/us/book/9780387303031…
…Wolsey https://books.google.com/books?id=x7RvQgAACAAJ For odd modeling tricks for integer programming, Logic and Integer Programming by Williams, H. Paul https://www.springer.com/us/book/9780387922799 For modeling tricks for convex programming, Convex Optimization by Stephen Boyd and Lieven Vandenberghe https://stanford.edu/~boyd/cvxbook/ For basic nonlinear optimization algorithms, Numerical Optimization by Nocedal, Jorge, Wright, S. https://www.springer.com/us/book/9780387303031…
…Durrett, R. (2005). 《概率：理论与实例》Duxbury。机器学习研究也是建立在优化理论之上的。一本能带你入门线性优化、为凸优化打好基础的好书：8.) Bertsimas, D. 与 Tsitsiklis, J. (1997). 《线性优化导论》Athena。然后你就可以进阶到：9.) Boyd, S. 与 Vandenberghe, L. (2004). 《凸优化》…
…Durrett, R. (2005). "Probability: Theory and Examples" Duxbury. Machine learning research also reposes on optimization theory. A good starting book on linear optimization that will prepare you for convex optimization: 8.) Bertsimas, D. and Tsitsiklis, J. (1997). "Introduction to Linear Optimization" Athena. And then you can graduate to: 9.) Boyd, S. and Vandenberghe, L. (2004). "Convex Optimization"…
…http://www-stat.stanford.edu/~tibs/ElemStatLearn/ 《机器学习中的高斯过程》http://www.gaussianprocess.org/gpml/ 《贝叶斯推理与机器学习》http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=Brml.Online 《凸优化》http://www.stanford.edu/~boyd/cvxbook/
…http://www-stat.stanford.edu/~tibs/ElemStatLearn/ Gaussian Processing for Machine Learning http://www.gaussianprocess.org/gpml/ Bayesian Reasoning and Machine Learning http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=Brml.Online Convex Optimization http://www.stanford.edu/~boyd/cvxbook/
对于理论连续/非线性/凸优化来说，你的首选就是圣经，再加上 Boyd & Vandenberghe 的《凸优化》（Convex Optimization）。不过要注意，这两本都是研究生教材。有时候读起来会相当吃力。可惜我一直没找到本科…
For theoretical continuous/nonlinear/convex optimization, your #1 is the bible, together with "Convex Optimization" by Boyd & Vandenberghe. However, beware that both are grad textbooks. They can be tough going at times. Unfortunately, I never found undergrad…