September 2017
Intermediate to advanced
800 pages
23h 19m
English
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14. Weighted Graphs
In the preceding chapter we saw that a graph’s edges can have direction. In this chapter we’ll explore another edge feature: weight. For example, if vertices in a weighted graph represent cities, the weight of the edges might represent distances between the cities, or costs to fly between them, or the number of automobile trips made annually between them (a figure of interest to highway engineers).
When we include weight as a feature of a graph’s edges, some interesting and complex questions arise. What is the minimum spanning tree for a weighted graph? What is ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.