6 citations · 37 across the 17 of their papers we have counts for
Showing 2016Show all
3 papers · 1 filter
math.NA2016
Superfast Low-Rank Approximation and Least Squares Regression
Victor Y. Pan, Qi Luan, John Svadlenka +1
Low Rank Approximation is among most fundamental subjects of numerical linear algebra having important applications to various areas of modern computing and %they range from machin…
math.NA2016
Fast Derandomized Low-rank Approximation and Extensions
Victor Pan, John Svadlenka, Liang Zhao
Low-rank approximation of a matrix by means of structured random sampling has been consistently efficient in its extensive empirical studies around the globe, but adequate formal s…
math.RA2016★ 5 cited
Highly Efficient Computation of Generalized Inverse of a Matrix
V. Y. Pan, F. Soleymani, Liang Zhao
We propose a hyperpower iteration for numerical computation of the outer generalized inverse of a matrix which achieves the 18th order of convergence by using only seven matrix mul…