1 citations · 1 across the 2 of their papers we have counts for
2 papers
math.NA2020★ 1 cited
Pass-Efficient Randomized LU Algorithms for Computing Low-Rank Matrix Approximation
Bolong Zhang, Michael Mascagni
Low-rank matrix approximation is extremely useful in the analysis of data that arises in scientific computing, engineering applications, and data science. However, as data sizes gr…
cs.DS2017
Gaussian Variant of Freivalds' Algorithm for Efficient and Reliable Matrix Product Verification
Hao Ji, Michael Mascagni, Yaohang Li
In this article, we consider the general problem of checking the correctness of matrix multiplication. Given three matrices , , and , the goal is to verify th…