Collaborative Research: AF: Small: Efficient Algorithms for Optimal Transport in Geometric — NSF Award to North Carolina State Uni
Optimal transport (OT) is a powerful tool for comparing probability distributions and computing maps between them. Simply put, optimal transport is the minimum-cost plan to transport mass from one distribution to the other, where the cost of transporting one unit of mass between two locations is the ground distance bet
| Award title | Collaborative Research: AF: Small: Efficient Algorithms for Optimal Transport in Geometric |
|---|---|
| Award ID | 2514753 |
| Awardee | North Carolina State University |
| City | RALEIGH |
| State | NC |
| Amount obligated | $113,834 |
| Principal investigator | Sharath Raghvendra |
| Program | Algorithmic Foundations |
| Start date | 03/01/2025 |
| Abstract | Optimal transport (OT) is a powerful tool for comparing probability distributions and computing maps between them. Simply put, optimal transport is the minimum-cost plan to transport mass from one distribution to the other, where the cost of transporting one unit of mass between two locations is the ground distance between the two locations. OT has been studied extensively in mathematics, engineering, physics, economics, operations research, and computer science because of their numerous applica |
| Source | NSF Awards |
$799/mo
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