NSF award 2608905 · Clemson University

Structured Rational Approximation and Efficient Krylov Methods for Large-Scale Matrix Problems

Final report due

28 November 2029

in 1,137 days · The award ends on 31 July 2029.

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award ending 2029-07-31 · Research.gov
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PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Jul 2029in 1007 days
award ending 2029-07-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Nov 2029in 1137 days
award ending 2029-07-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Nov 2029in 1137 days
award ending 2029-07-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Nov 2029in 1137 days
award ending 2029-07-31 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF lists this award's end date as 31 July 2029.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 November 2029.

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Award card

Award number: 2608905
Period of support: 1 Aug 2026 – 31 Jul 2029
Amount: $314,928
Awardee: Clemson University, Clemson, SC
Program: COMPUTATIONAL MATHEMATICS, OFFICE OF MULTIDISCIPLINARY AC
Directorate: MPS

Abstract

Large scientific and engineering computations often depend on solving problems involving very large matrices. These computations arise in simulation, control, model reduction, networks, quantum dynamics, data driven modeling, and artificial intelligence. Direct methods can be too expensive in memory or time, especially when the underlying systems have many variables and multiscale behavior. This project develops new…

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