Proofs: A Long-Form Mathematics Textbook
Jay Cummings
Information Theory, Inference and Learning Algorithms
David J. C. MacKay
Measurement
Paul Lockhart
Book of Proof
Richard H. Hammack
Algorithms for Convex Optimization
Nisheeth K. Vishnoi
Non-Convex Optimization for Machine Learning
Prateek Jain & Purushottam Kar
Proximal Algorithms
Neal Parikh & Stephen P. Boyd & Now Publishers
The Design of Approximation Algorithms
David P. Williamson & David B. Shmoys
Combinatorial Optimization: Theory and Algorithms
Bernhard Korte & Jens Vygen
Algorithms and Combinatorics (2)
Numerical Optimization
Jorge Nocedal & Stephen J. Wright
Springer Series in Operations Research (1)
Algorithms and Combinatorics (1)
Computers and Intractability: A Guide to the Theory of NP-completeness
Michael R. Garey & David S. Johnson