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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Chapter 19Dealing with Space Constraints
When analyzing the efficiency of various algorithms throughout this book, we’ve focused exclusively on how fast they run—that is, their time complexity. However, another measure of efficiency can be useful as well, which is how much memory an algorithm consumes. This measure is known as space complexity.
Space complexity becomes an important factor when memory is limited. If you have an enormous amount of data, or are programming for a small device with limited memory, space complexity can matter a lot.
In a perfect world, we’d always use algorithms that are both fast and memory-efficient. However, sometimes we can’t have both and we need to choose between the two. Each situation requires a careful analysis ...
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