Pen and Paper Exercises in Machine Learning
Michael U. Gutmann
Advanced Engineering Electromagnetics
Constantine A. Balanis
Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
Stefano V. Albrecht & Filippos Christianos & Lukas Schäfer
A First Course in Mathematical Modeling
Frank R. Giordano & Maurice D. Weir & William P. Fox
The Design of Approximation Algorithms
David P. Williamson & David B. Shmoys
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)
Combinatorial Optimization: Theory and Algorithms
Bernhard Korte & Jens Vygen
Algorithms and Combinatorics (1)
Algorithms and Combinatorics (2)
Non-Convex Optimization for Machine Learning
Prateek Jain & Purushottam Kar
Computers and Intractability: A Guide to the Theory of NP-completeness
Michael R. Garey & David S. Johnson