Ken Alton

University of British Columbia

Papers

5

Total Citations

93

H-Index

4

About

Ken Alton is a leading researcher in computational geometry and numerical methods for solving static Hamilton–Jacobi equations, with a particular focus on fast marching and ordered upwind methods. His seminal 2008 paper on fast marching methods for axis-aligned anisotropy, cited 38 times, introduced a novel class of algorithms that extend the classic fast marching method to anisotropic media, offering significant efficiency gains over traditional approaches. Alton further advanced the field with his 2011 work on ordered upwind methods featuring precomputed stencils and monotone node acceptance, which achieved 30 citations for its robust handling of convex Hamilton–Jacobi problems. His 2010 Dijkstra-like ordered upwind methods paper (17 citations) bridged graph-based shortest path algorithms with partial differential equation solvers, enabling applications in seismic wavefront tracking and surface evolution. Beyond theoretical contributions, Alton applied dynamic programming to multi-location robot rendezvous (2008) and explored motion control for vehicle steering through nearest-neighbor policies (2009). With over 90 total citations, his work has profoundly impacted computational science, providing efficient tools for problems ranging from lithography simulation to autonomous navigation.

Research Focus

Key Achievements

4
H-Index
5
Papers
93
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Fast Marching Methods for Stationary Hamilton–Jacobi Equations with Axis-Aligned Anisotropy
38 citations · 2008
📈 Most Prolific Year: 2008 (2 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: University of British Columbia

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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