We address the problem of minimizing a convex function over the space of large matrices with low rank. While this optimization problem is hard in general, we propose an efficient...
We propose solving continuous parametric simulation optimizations using a deterministic nonlinear optimization algorithm and sample-path simulations. The optimization problem is w...
Michael C. Ferris, Todd S. Munson, Krung Sinapirom...
— In this paper we present an implicit time-stepping scheme for multibody systems with intermittent contact by incorporating the contact constraints as a set of complementarity a...
Nilanjan Chakraborty, Stephen Berard, Srinivas Ake...
In this paper, we derive and evaluate theoretical ratedistortion performance bounds for scalable video compression algorithms which use a single motion-compensated prediction (MCP...
Gregory W. Cook, Josep Prades-Nebot, Edward J. Del...
This paper proposes a model-based methodology for recognizing and tracking objects in digital image sequences. Objects are represented by attributed relational graphs (or ARGs), w...