Stoyan Dimitrov

This page provides an incomplete and subjective collection of links related to my research interests.

Some quotes about Combinatorics can be found here (selection by Igor Pak). My favourite excerpts are here!

Some Combinatorics books and links that deserve to be more popular:

Enumerative Combinatorics:

The Art of Bijective Combinatorics, online course by X.Viennot.
Bijective combinatorics, book by N. Loehr.
Proofs that Really Count: The Art of Combinatorial Proof, book by A.Benjamin and J.Quinn.
[a sequel should appear soon]
Algebraic and geometric methods in enumerative combinatorics, survey by F.Ardila.
Notes on Counting: An Introduction to Enumerative Combinatorics, by P.J.Cameron.
Combinatorics: The Art of Counting, book by Bruce Sagan.
Enumerative Combinatorics and Applications, Journal Archive including interesting interviews.

Algebraic Combinatorics:

Thirty-three Miniatures: Mathematical and Algorithmic Applications of Linear Algebra,
book by J.Matoûsek.
The Symmetric Group: Representations, Combinatorial Algorithms, and Symmetric Functions,
book by B.Sagan.
Algebraic Combinatorics Walks, Trees, Tableaux, and More,
book by R.Stanley.
Linear Algebra methods in Combinatorics,
book by L.Babai and P.Frankl.

Others:

Invitation to Discrete Mathematics,
book by J.Matousek, J.Nesetril.
Combinatorial Problems and Exercises,
book by L.Lovâsz.
List of Combinatorics books

Probability, Statistics and Machine Learning:

Counterexamples in Probability, book by J.Stoyanov.
Understanding Machine Learning, book by S.Ben-David et al.
Machine Learning Video Library, online courses by Y.Abu-Mostafa from Caltech.
Podcast on AI, by Lex Fridman [with some very interesting guests]
Ten great ideas about chance, great book by P.Diaconis and B.Skyrms
[see also my blog post on the development of the concept for probability ].

Some Combinatorics books and links that deserve to be more popular:

Probability, Statistics and Machine Learning:

Algorithms:

Relations and Oppositions - Mathematics, Data Analysis, Computer Science:

Proofs helping to understand popular theorems:

Advices on math career:

Other interesting articles:

Websites and blogs of some people in Discrete Mathematics: