Reading, Writing, and Proving: A Closer Look at Mathematics
Ulrich Daepp & Pamela Gorkin
Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
Stefano V. Albrecht & Filippos Christianos & Lukas Schäfer
Non-Convex Optimization for Machine Learning
Prateek Jain & Purushottam Kar
Algorithms for Convex Optimization
Nisheeth K. Vishnoi
Proximal Algorithms
Neal Parikh & Stephen P. Boyd & Now Publishers
Numerical Optimization
Jorge Nocedal & Stephen J. Wright
Springer Series in Operations Research (1)
The Design of Approximation Algorithms
David P. Williamson & David B. Shmoys
Computers and Intractability: A Guide to the Theory of NP-completeness
Michael R. Garey & David S. Johnson
Combinatorial Optimization: Theory and Algorithms
Bernhard Korte & Jens Vygen
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Algorithms and Combinatorics (2)