Why do we usually give the tightest Big O bound?
If an algorithm runs in O(n), then O(n²), O(n³), and even O(n!) are technically valid upper bounds too. So when someone asks for an algorithm's Big O complexity,…
If an algorithm runs in O(n), then O(n²), O(n³), and even O(n!) are technically valid upper bounds too. So when someone asks for an algorithm's Big O complexity,…
If an algorithm runs in O(n), then O(n²), O(n³), and even O(n!) are technically valid upper bounds too. So why do people expect the smallest or tightest bound…
I'm new to data structures and algorithms and I'm analyzing the running time of this recursive power function. When n is even, the recursive call uses n/2, giving…
I'm confused about why this solution exceeds the two-second limit. The grid size is at most N = 2000, and there can be up to U = 100000…
I have an N×N grid containing '.' and '#'. Cells that are rotations or reflections of one another form groups of up to four positions, and I need…
I'm confused about why this solution exceeds the two-second limit. The grid size N is at most 2000, and there can be up to 100,000 updates. I estimated…
I have an N×N grid containing '.' and '#', along with U cell updates. Each cell belongs to a group of up to four positions related by horizontal…
I have trouble understanding what an algorithm is doing just by reading its code, especially when trying to estimate its time complexity. Are there any reliable techniques or…
I have trouble understanding what an algorithm is doing just by reading the code, especially when I need to estimate its time complexity. Are there any reliable shortcuts…
I'm working on a project where I need to sort 1000 numbers, and I've been using counting sort. It seems to have a time complexity of around 10k,…
I'm curious if it's possible to predict the actual run time for an algorithm when considering specific hardware specs, the programming language used, and the algorithm's given complexity.…
I'm curious about the time complexity involved in comparing two integers, a and b. Why is it generally considered to be O(1)? Additionally, could we apply the same…
I'm working on understanding data structures and their time complexities, but I'm torn between memorizing them and actually grasping how they function. I feel like memorization could help…