Randomized Sketching and Tensor-Format Solvers for High-Dimensional Models — NSF Award to Virginia Polytechnic Institute and State
Modern science and engineering increasingly rely on numerical simulations of systems with large numbers of interacting variables: new quantum materials with intricate atomic geometries, hot plasmas inside fusion reactors, time-resolved medical image, and many more applications. Storage and manipulation of such high-dim
| Award title | Randomized Sketching and Tensor-Format Solvers for High-Dimensional Models |
|---|---|
| Award ID | 2608677 |
| Awardee | Virginia Polytechnic Institute and State University |
| City | BLACKSBURG |
| State | VA |
| Amount obligated | $249,581 |
| Principal investigator | Paul Cazeaux |
| Program | COMPUTATIONAL MATHEMATICS |
| Start date | 07/01/2026 |
| Abstract | Modern science and engineering increasingly rely on numerical simulations of systems with large numbers of interacting variables: new quantum materials with intricate atomic geometries, hot plasmas inside fusion reactors, time-resolved medical image, and many more applications. Storage and manipulation of such high-dimensional information are often impossible using conventional methods, because the required memory and runtime grow exponentially with the number of variables. This project develops |
| Source | NSF Awards |
$799/mo
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