2 papers
math.NA2026
Accelerated alternating minimization algorithm for low-rank approximations in the Chebyshev norm
Stanislav Morozov, Dmitry Zheltkov, Alexander Osinsky
Nowadays, low-rank approximations of matrices are an important component of many methods in science and engineering. Traditionally, low-rank approximations are considered in unitar…
math.NA2026
Two approaches to low-parametric SimRank computation
Egor P. Berezin, Robert T. Zaks, German Z. Alekhin +2
In this work, we discuss low-parametric approaches for approximating SimRank matrices, which estimate the similarity between pairs of nodes in a graph. Although SimRank matrices an…