Publication
The Method of Cyclic Intrepid Projections: Convergence Analysis and Numerical Experiments
The convex feasibility problem asks to find a point in the intersection of a collection of nonempty closed convex sets. This problem is of basic importance in mathematics and the physical sciences, and projection (or splitting) methods solve it by employing the projection operators associated with the individual sets to generate a sequence which converges to a solution. Motivated by an application in road design, we present the method of cyclic intrepid projections (CycIP) and provide a rigorous convergence analysis. We also report on very promising numerical experiments in which CycIP is compared to a commercial state-of-the-art optimization solver.PDF
Related Resources
See what’s new.
2024
AQuA: Automated Question-Answering in Software Tutorial Videos with Visual AnchorsAn automated approach leveraging a large language model augmented with…
2024
Autodesk Research’s Kean Walmsley Joins Industry PodcastKean Walmsley shares insights gathered over his 20-year plus,…
2024
The Problem of Generative Parroting: Navigating Toward Responsible AI (Part 1)Expore the challenges of data parroting in generative AI models from a…
2024
2024 Forecasts: Autodesk Researchers Weigh InWe’re sharing thoughts from some members of the Research team on…
Get in touch
Something pique your interest? Get in touch if you’d like to learn more about Autodesk Research, our projects, people, and potential collaboration opportunities.
Contact us