7 citations · 23 across the 12 of their papers we have counts for
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math.NA2022★ 6 cited
Randomized low-rank approximation for symmetric indefinite matrices
Taejun Park, Yuji Nakatsukasa
The Nyström method is a popular choice for finding a low-rank approximation to a symmetric positive semi-definite matrix. The method can fail when applied to symmetric indefinite m…
math.NA2022★ 7 cited
A Fast Randomized Algorithm for Computing an Approximate Null Space
Yuji Nakatsukasa, Taejun Park
Randomized algorithms in numerical linear algebra can be fast, scalable and robust. This paper examines the effect of sketching on the right singular vectors corresponding to the s…