Fox, Kyle J.
Kyle J. Fox is an Assistant Professor in the Department of Computer Science. His research interests include:
- Algorithms and theory
- Computational Geometry and topology
- Combinatorial optimization and graph algorithms
2020 recipient of a five-year, $586,654 National Science Foundation Faculty Early Career Development (CAREER) Award to explore how the mathematical field of topology can be used to design more efficient and faster algorithms to solve difficult problems. Read more.
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Let G be an edge-weighted directed graph with n vertices embedded on an orientable surface of genus g. We describe a simple deterministic lexicographic perturbation scheme that guarantees uniqueness of minimum-cost flows ...
We study a path-planning problem amid a set O of obstacles in R², in which we wish to compute a short path between two points while also maintaining a high clearance from O; the clearance of a point is its distance from a ...
The Gromov-Hausdorff (GH) distance is a natural way to measure distance between two metric spaces. We prove that it is NP-hard to approximate the GH distance better than a factor of 3 for geodesic metrics on a pair of ...