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IterativeCUR: Large Rank-Adaptive Approximation From a Small Recycled Sketch
Nathaniel Pritchard, Taejun Park, Yuji Nakatsukasa +1
The computation of accurate low-rank matrix approximations is central to improving the scalability of various techniques in machine learning, uncertainty quantification, and contro…
math.NA2025
Scientific Applications Leveraging Randomized Linear Algebra
Vivak Patel, D. Adrian Maldonado, Maksim Melnichenko +5
This report showcases the role of, and future directions for, the field of Randomized Numerical Linear Algebra (RNLA) in a selection of scientific applications. These applications…