Dynamic graph algorithms and data structures represent a vital research frontier in computer science, underpinning applications from network analysis to real-time system monitoring.

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Explain fundamental concepts for algorithmic searching and sorting Courses Algorithms for Searching, Sorting & Indexing Trees & Graphs: Basics Dynamic Programming, Greedy Algorithms This ...

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, ...

Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

CSCA 5414: Dynamic Programming, Greedy Algorithms – Cross-listed with DTSA 5503 CSCA 5424: Approximation Algorithms and Linear Programming CSCA 5454: Advanced Data Structures, RSA and Quantum ...