This Project Grant from the National Science Foundation's Mathematical and Physical Sciences program provides $171,089 to Old Dominion University Research Foundation for collaborative research developing computationally efficient methods for non-smooth and non-convex optimization by exploring sparsity structures in large data sets. The research aims to address critical issues in non-smooth, non-convex optimization arising from sparse modeling of data used in machine learning and sparse image/signal restoration. Researchers will develop proper sparse regularization models and sparsity-promoting functions, construct appropriate bases/transforms, and build reproducing kernel Banach spaces to represent complex data structures for improved machine learning outcomes. Results are intended for use in information technology, nanotechnology, biotechnology, civil infrastructure, environmental science and other areas dealing with extremely large and growing data sets. The grant period is from August 15, 2022 through July 31, 2025.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $171.1k | 8/2/22 |