July 2021
Intermediate to advanced
768 pages
25h 23m
English
Content preview from Advanced Algorithms and Data Structures
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5 Disjoint sets: Sub-linear time processing
This chapter covers
- Solving the problem of keeping a set partitioned into disjoint sets and merging partitions dynamically
- Describing an API for a data structure for disjoint sets
- Providing a simple linear-time solution for all methods
- Improving the running time by using the right underlying data structure
- Adding easy-to-implement heuristics to get quasi-constant running time
- Recognizing use cases where the best solution is needed for performance
In this chapter we are going to introduce a problem that seems quite trivial—so trivial that many developers wouldn’t even consider it worth a performance analysis, so they’d just implement the obvious solution to it. Nevertheless, if the expression “wolf ...
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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.