What is Time Complexity? Time complexity is a measure of how fast a computer algorithm (a set of instructions) runs, depending on the size of the input data. In simpler words, time complexity describes how the execution time of an algorithm increases as the size of the input increases. Whe...
Finding out the time complexity of your code can help you develop better programs that run faster. Some functions are easy to analyze, but when you have loops, and recursion might get a little trickier when you have recursion. After reading this post, you are able to derive the time comple...
I thought my solution worked in O(n) but it clearly either doesn't or something else is very wrong. My thought process was that both makeWanted and dfs should work in O(n) since there are no loops in a tree, so solve() should be O(n) as well. I'd be incredibly thankful if y...
This is supportive in storing and processing of data sets of bulky scale on clusters of commodity hardware. HDFS (Hadoop Distributed File System) is a principal distributed storage used by the Hadoop applications. An HDFS cluster mainly is made up of a NameNode and the DataNode. The NameNode...
It does look like the BFS and DFS approach have the same time complexity and space complexity but if I have got that wrong, how do I know when to use DFS and when to use BFS particularly the grid questions involving number of components?(The editorial suggests any of DFS or BFS so sti...
Merge Sort Algorithm is considered as one of the best sorting algorithms having a worst case and best case time complexity ofO(N*Log(N)), this is the reason that generally we prefer tomerge sortover quicksort as quick sort does have a worst-case time complexity ofO(N*N). ...
Bubble sort is the simplest sorting algorithm and is useful for small amounts of data, Bubble sort implementation is based on swapping the adjacent elements repeatedly if they are not sorted. Bubble sort's time complexity in both of the cases (average and worst-case) is quite high. For ...
computational complexity. •Integration of Data Structures and Algorithms: This project integrates multiple data struc- tures (graphs, hash tables) and algorithms (graph traversal, sorting) into a cohesive system. You will develop a deeper understanding of how different components interact and contribut...
There are a lot of videos here. Just watch enough until you understand it. You can always come back and review. Don't worry if you don't understand all the math behind it. You just need to understand how to express the complexity of an algorithm in terms of Big-O. ...
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