5
Measuring performance in a hardware-agnostic way
(self.advent_of_code)
An unofficial home for the advent of code community on programming.dev!
Advent of Code is an annual Advent calendar of small programming puzzles for a variety of skill sets and skill levels that can be solved in any programming language you like.
Solution Threads
M | T | W | T | F | S | S |
---|---|---|---|---|---|---|
1 | ||||||
2 | 3 | 4 | 5 | 6 | 7 | 8 |
9 | 10 | 11 | 12 | 13 | 14 | 15 |
16 | 17 | 18 | 19 | 20 | 21 | 22 |
23 | 24 | 25 |
Icon base by Lorc under CC BY 3.0 with modifications to add a gradient
console.log('Hello World')
Yes, you can consider the algorithmic complexity of your code, which is independent of any hardware.
Sure, but that makes a lot of optimizations nonexistent (e.g. cloning the input on an O(n) algorithm is "free")
You don't need to use big-O. You can calculate the full complexity in algebraic notation. It's just a lot more work as you don't get to discard terms.