This decommissioned ERA site remains active temporarily to support our final migration steps to https://ualberta.scholaris.ca, ERA's new home. All new collections and items, including Spring 2025 theses, are at that site. For assistance, please contact erahelp@ualberta.ca.
Search
Skip to Search Results- 1Atwood, Gordon Harold.
- 1Gertsberg, Vladimir.
- 1Henderson, Philip
- 1Hyatt-Denesik, Dylan V
- 1Klingbeil, Norbert L.
- 1Kossowski, Piotr.
-
Fall 2019
Scheduling problems are problems in which jobs are assigned to machines at particular times. A common objective of scheduling is to schedule as many jobs before their deadline as possible, called Throughput Maximization. In this thesis, we provide algorithms for various...
-
Fall 2015
In this thesis, we consider two closely related clustering problems, Min Sum k-Clustering (MSkC) and Balanced k-Median (BkM). In Min Sum k-clustering, one is given a graph and a parameter k, and has to partition the vertices in the graph into k clusters to minimize the sum of pairwise distances...
-
Spring 2023
Pathfinding has been an interesting research area throughout the years. Heuristic search algorithms are used to find a path with the minimum length between a start and a goal in a graph, which has applications in GPS navigation and video games. There are different ways to create a heuristic for...
-
Fall 2023
We consider stochastic generalized linear bandit (GLB) problems when the reward distributions are log-concave and subgaussian. We consider for this problem the perturbed history exploration (PHE) algorithmIn each round of its operation, PHE perturbs the observed rewards by adding fresh noise to...