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Discover (Random Books)

How to Prove It: A Structured Approach

How to Prove It: A Structured Approach

Daniel J. Velleman

Non-Convex Optimization for Machine Learning

Non-Convex Optimization for Machine Learning

Prateek Jain & Purushottam Kar

Everything You Always Wanted To Know About Mathematics

Everything You Always Wanted To Know About Mathematics

Brendan W. Sullivan

Physics-based Deep Learning

Physics-based Deep Learning

N. Thuerey, B. Holzschuh, P. Holl, G. Kohl, M. Lino, Q. Liu, ...

Category: discrete maths

Information Geometry and Its Applications

Information Geometry and Its Applications

Shun-Ichi Amari

Information Geometry and Its Applications

Information Geometry and Its Applications

Shun-Ichi Amari

How to Prove It: A Structured Approach

How to Prove It: A Structured Approach

Daniel J. Velleman

How to Prove It: A Structured Approach

How to Prove It: A Structured Approach

Daniel J. Velleman

Computers and Intractability: A Guide to the Theory of NP-completeness

Computers and Intractability: A Guide to the Theory of NP-completeness

Michael R. Garey & David S. Johnson

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