NSF award 2616828 · William Marsh Rice University

Collaborative Research: AIMing: Statistically Guided Discovery for Certified and Efficient Randomized Numerical Linear Algebra Algorithms

Final report due

29 December 2029

in 1,168 days · The award ends on 31 August 2029.

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Final report due29 Dec 2029in 1168 days
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Project outcomes report due29 Dec 2029in 1168 days
award ending 2029-08-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Dec 2029in 1168 days
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So the final report is due by 29 December 2029.

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Award card

Award number: 2616828
Period of support: 15 Sep 2026 – 31 Aug 2029
Amount: $150,000
Awardee: William Marsh Rice University, Houston, TX
Program: MSPA-INTERDISCIPLINARY
Directorate: MPS

Abstract

Numerical linear algebra (NLA) is foundational to mathematical and statistical computing, scientific simulation, data analysis, and artificial intelligence. Yet new NLA algorithms are still designed largely by hand, and claims about their correctness, reliability, and efficiency often rely on arguments that cannot be checked automatically. AI methods, including reinforcement learning (RL) and large language models…

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