计算理论导引
Michael Sipser
Pen and Paper Exercises in Machine Learning
Michael U. Gutmann
Physics-based Deep Learning
N. Thuerey, B. Holzschuh, P. Holl, G. Kohl, M. Lino, Q. Liu, ...
The Landscapes of Science and Religion: What Are We Disagreeing ...
Nick Spencer & Hannah Waite
Elements of Programming Interviews: The Insiders' Guide
Adnan Aziz & Tsung-Hsien Lee & Amit Prakash
算法导论
Thomas H. Cormen
Introduction to Algorithms, Third Edition
Thomas H. Cormen & Charles E. Leiserson & Ronald L. Rivest & Clifford Stein
算法设计
Jon Kleinberg
Combinatorial Optimization: Theory and Algorithms
Bernhard Korte & Jens Vygen
Algorithms and Combinatorics (1)
Algorithms and Combinatorics (2)
Information Theory, Inference and Learning Algorithms
David J. C. MacKay
Proximal Algorithms
Neal Parikh & Stephen P. Boyd & Now Publishers
斯坦福算法博弈论二十讲
Tim Roughgarden
算法
Robert Sedgewick & Kevin Wayne
How to Prove It: A Structured Approach
Daniel J. Velleman
Algorithms for Convex Optimization
Nisheeth K. Vishnoi
The Design of Approximation Algorithms
David P. Williamson & David B. Shmoys