ELI5: explai time complexity and space complexity
// explanation
What is time complexity?
Time complexity is like measuring how long it takes to do a job. [5] If you have to count 10 toys, it takes a little while, but if you have to count 1,000 toys the same way, it takes much longer—and we want to know how much longer. [5] We use Big O notation to describe this, which is like saying "this job takes about this much time." [3]
What is space complexity?
Space complexity is about how much space or memory your program needs to work, like how much desk space you need to organize your toys. [4] If you're organizing 10 toys you need a little desk space, but organizing 1,000 toys might need a much bigger desk. [4]
Why do they matter?
If you write a program that works slowly or uses tons of memory, it won't work well when you have lots of data. [3] Think of it like a recipe—some recipes are quick and easy, but others take forever and dirty every dish in the kitchen. [5]
How do you measure them?
We use Big O notation to give these a shorthand name, ignoring the less important parts to focus on what really matters when you have huge amounts of data. [2][3]
// sources
Sep 18, 2024 ... This has been something I've been struggling with since I started self-studying and I still don't understand how to calculate well.
Jul 31, 2025 ... Time and Space Complexity · N*c + N*N*c + c. Now ignore the lower order terms since the lower order terms are relatively insignificant for large ...
Nov 28, 2024 ... Time and space complexity are critical concepts for assessing algorithm efficiency. Understanding Big O notation allows you to express these ...
Jul 15, 2020 ... Space complexity is a measure of the amount of working storage an algorithm needs. That means how much memory, in the worst case, is needed at any point in the ...
Jul 16, 2023 ... Time complexity in Big O notation is a measure of how an algorithm's running time increases with the size of its input. It provides an estimate ...
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