August 2020
Intermediate to advanced
508 pages
11h 53m
English
book
A Common-Sense Guide to Data Structures and Algorithms, Second Edition, 2nd Edition
by Jay Wengrow
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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 about 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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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.