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.
2021
Monitoring on a shoestring: Low cost solutions for digital manufacturingDigital transformation can provide a competitive edge for many…
2016
CircuitMagic: Automatic Capture of Handdrawn Electronic Symbols and Component Selection in an Electronic EDA CAD System using Machine Learning TechniquesConsider a modern client-server/cloud EDA CAD design system as shown…
2017
Practical Aspects of the DesignDEVS Simulation EnvironmentDesignDEVS is a simulation development environment based on the…
2021
Collective Transport of Unconstrained Objects via Implicit Coordination and Adaptive ComplianceWe present a decentralized control algorithm for robots to aid in…
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