Graphs are one of the most common and powerful data structures in programming, as they can model complex relationships between entities, such as networks, social media, maps, and more.

Find connected components of a graph and their count. For each unvisited node, traverse its entire connected component and list the nodes. We will use DFS to traverse graph. DFS algorithm in Python: ...

Number of connected components Problem Introduction You decide to make sure that there are no dead zones in a maze, that is, that at least one exit is reachable from each cell. For this, you find ...

Lab Instructor. Mike Cooper-Stachowsky ([email protected]) Teaching Assistants. Majid Dashtbani ([email protected]) Sheikh Abrar Tahmid ([email protected]) Prajwal ...

Tour of the most important data structures, fundamental algorithms, and algorithm design techniques: lists, stacks, queues, dynamic arrays, hash tables, heaps, priority queues, disjoint set unions, ...

Also, the more memory a data structure uses, the less CPU time associated algorithms will need to process the data items–leading to faster algorithm results. As much as possible, you should ...

The Graph, the decentralized indexing system that works much like Google for blockchains, has introduced a data standard for Web3. Called GRC-20, the standard would define how information is ...