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Dynamic graph algorithms and data structures represent a vital research frontier in computer science, underpinning applications from network analysis to real-time system monitoring.
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Tech Xplore on MSNNew algorithm enables efficient machine learning with symmetric data structuresIf you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...
If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...
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, ...
Motivating example: the stable matching problem Greedy (graph) algorithms, BFS, DFS, Dijkstra's, Kruskal's, and Prim's Simple data structures: priority queues (with heaps) and union-find Divide & ...
Explain fundamental concepts for algorithmic searching and sorting Courses Algorithms for Searching, Sorting & Indexing Trees & Graphs: Basics Dynamic Programming, Greedy Algorithms This ...
On the 19th of February 2025, M.Sc. Andreas Grigorjew defends his PhD thesis on Algorithms and Graph Structures for Splitting Network Flows, in Theory and Practice. The thesis is related to research ...
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 ...
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