July 2024
Beginner to intermediate
280 pages
7h 25m
English
Content preview from Grokking Data StructuresBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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4 Big-O notation: A framework for measuring algorithm efficiency
In this chapter
- objectively comparing different algorithms
- using big-O notation to understand data structures
- the difference between worst-case, average, and amortized analysis
- a comparative analysis of binary and linear search
In chapter 3, we discussed how binary search seems faster than linear search, but we didn’t have the tools to explain why. In this chapter, we introduce an analysis technique that will change the way you work—and that’s an understatement. After reading this chapter, you’ll be able to distinguish between the high-level analysis of the performance of algorithms and data structures and the more concrete analysis of your code’s running time. This will help ...
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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.