Introduction to Graph Theory - Book Review

Introduction to Graph Theory by Richard J. Trudeau is a really fun book to read even though it was written in 1975 and published in 1976. Graph theory is pure math meaning it is just meant to be studied for the sake of studying. There is no intention to be applied to a real world problem. I enjoyed the book as it was written very clearly and helped expand how I think about solving problems. It also covers a few proofs and why the proofs were challenging to come up with even though the conjectures seemed correct from our intuition.

4/5 Stars - Recommend buying if you want a fun, quick, and easy math book.

My affiliate link to the book which supports this channel (it costs you no more to use the link). It is currently only $13.17!

Website:

Support the channel:

Quant t-shirts, mugs, and hoodies:

Connect with me:

[trwbdr]

Just finished your book reviews playlist and this popped up hehe

Right now got more than enough reading material arranged but seems like a worthy book📚 Thanks Dimitri!

[alan]

Glad you've read the book, when we spoke about it! I see so many mentions to Graphs in computer science literature

[eugeneL_NE]

find graph theory very helpful when playing with vine copula for credit/factor portfolio construction; and it's also used in pricing together with dynamic programming.

[brendanchamberlain]

If you are looking for a follow up book, Gary Chartrand has lots of great, gentle introductions that go more in depth than this book. And Diestel is used for grad school classes in graph theory but is much harder

[josegancedo]

Hey ! Cool topic and really great that you did a short video on it ! However, if you are not giving the book a perfect 5/5 score, I believe you should include a negative feedback part, or something you disliked that prevented the book from getting said perfect score.

[shukailu]

This looks really interesting. Another short book I really enjoyed is Advanced Portfolio Management by Paleologo if you are into factor modelling.

[MatthewVenzie]

Hey Dimitri, I have a few questions. You’ve mentioned before that you don’t have much time to study when you start working as a quant. Then how is it that a quant learns, would it just be through the actual job and process of developing models and would the research part be you looking through text books and learning new methods, or do you usually just read people’s research papers. I also was wondering if it would be smart to get a statistics masters over a MFE. I want to work in Boston but honestly I’m worried that MIT and BU’s MFE programs won’t give me the foundation I need to be a quant. And I looked into BU’s statistics Masters and it seems pretty great. Would it be a lot harder to land a real quant position like model development if I have a statistics masters? Thank you so much!

[collingreer]

Does anyone have more information on the author Richard Trudeau?

[intebuddy]

Hey Dimitri, how much cfa worth in quant, currently I am an application dev, registered for cfa lvl 1 to venture into quant world

[SunitaSingh-yjuj]

Hey sir can give advice on btech in ai and ds engineering is it a good choice for quantative finance