Journal of Cosmetic Science and Technology

Graph Theory-Articles-open-access

 Many things within the world would haven't inherit existence if there hadn’t been a drag that needed solving. This truth applies to everything, but boy, is it obvious within the world of computing. Someone needed how of keeping track of the order of things, in order that they played around with and created different data structures until they found the one that worked the simplest for the precise problem that they were trying to unravel. Somebody else needed an honest way of storing data, in order that they played around with different number systems until they found one that worked best for the type of data that they wanted to contain. People needed an honest way of labeling and processing tasks, in order that they found how to create upon the tools that they had and created how to juggle all the items that one single system needed to try to to , at any given time. I’ve talked about abstractions a whole lot in this series, because ultimately, that’s what this series is about: finding the joy in the abstractions that lie beneath the things that all of us use, every single day. And, for what it’s worth, when I say “us”, I’m only partially talking about us as programmers, the producers of technology — I also mean us as users, the consumers of technology. So, which amazing abstraction shall we learn about next? Well, now that we’re experts in tree data structures, it only seems right to understand where trees came from. Trees are actually a subset of something you might have already heard about: graphs. But in order to truly know why we use graphs and what they are, we’ll need to go deep down to the very roots of something that stems from discrete mathematics: graph theory.

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