INTRODUCTORY GRAPH THEORY GARY CHARTRAND PDF

Start your review of Introductory Graph Theory Write a review Shelves: books-i-own The title here is a bit misleading. The general setup for a chapter is: Introduce a classic problem, define some basic graph theory terms that would be helpful, prove a couple theorems, give a couple of examples. So nothing ever gets very deep, but it does present at least the basic The title here is a bit misleading. So nothing ever gets very deep, but it does present at least the basic ideas of a lot of things. So: it is what it is--easy to read, with some good motivation and problems, but not very technical. Jesse rated it it was amazing If you are a software developer, then from time to time you will have to solve an Interesting Problem in optimization, such as finding the best matches on a dating site, or the right sharding key for a database cluster.

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Start your review of Introductory Graph Theory Write a review Shelves: books-i-own The title here is a bit misleading. The general setup for a chapter is: Introduce a classic problem, define some basic graph theory terms that would be helpful, prove a couple theorems, give a couple of examples. So nothing ever gets very deep, but it does present at least the basic The title here is a bit misleading. So nothing ever gets very deep, but it does present at least the basic ideas of a lot of things.

So: it is what it is--easy to read, with some good motivation and problems, but not very technical. As often as not, such problems can be expressed as a network of interrelated nodes, and if so, the problem probably has a name and a known solution in graph theory. Your problem now is to know that name so you can Google for the solution. This book is a charming, breezy intro to If you are a software developer, then from time to time you will have to solve an Interesting Problem in optimization, such as finding the best matches on a dating site, or the right sharding key for a database cluster.

This book is a charming, breezy intro to graph theory, covering basic terminology and some theorems related to planar graphs, topology, map-coloring, matching, and optimization. I more-or-less minored in math in college and have taken a handful of courses over subsequent 10 years, and I found nearly every proof and problem accessible, sometimes requiring some effort, but never insurmountably hard.

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