Moreover, affinity between peers may be encoded in the algorithm to give preference to solutions where the assignments have higher affinity. The problem is framed using a directed weighted graph, ...

Greedy problems can be found in various domains, such as graph theory, scheduling, compression, and cryptography. Dijkstra's algorithm is used to find the shortest path from a source node to all ...

In this project, we do an analytic design algorithm to solve graph coloring using greedy algorithm and backtracking algorithm and find the ‘m’ (minimum) colors if possible. The graph coloring problem ...

We propose new greedy algorithms for learning the structure of a graphical model of a probability distribution, given samples drawn from the distribution. While structure learning of graphical models ...

Where Graph Theory Meets The Road: The Algorithms Behind Route Planning 33 Comments by: Maya Posch April 4, 2024 ...

Theory 42 (1996) 2118-2132] to construct learning algorithms based on greedy approximations which are universally consistent and provide provable convergence rates for large classes of functions.

In practice, many algorithms always seem to work efficiently. But in theory, there is no guarantee. In an arXiv preprint, researchers from the Kwan Group at the Institute of Science and Technology ...

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 ...