August 2024
Intermediate to advanced
516 pages
11h 47m
English
Content preview from A Common-Sense Guide to Data Structures and Algorithms in JavaScript, Volume 1Become 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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Dynamic Programming Through Memoization
Luckily, we do have options, and that is through something called dynamic programming. Dynamic programming is the process of optimizing recursive problems that have overlapping subproblems.
(Don’t pay too much attention to the word dynamic. There’s some debate as to how the term came about, and there’s nothing obviously dynamic about the techniques I’m about to demonstrate.)
Optimizing an algorithm with dynamic programming is typically accomplished with one of two techniques.
The first technique is something called memoization. And no, that’s not a typo. Pronounced meh-moe-ih-ZAY-shun, memoization is a simple, but brilliant, technique for reducing recursive calls in cases of overlapping subproblems.
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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.