1 citations · 1 across the 7 of their papers we have counts for
4 papers · 1 filter
Two Iterative algorithms for the matrix sign function based on the adaptive filtering technology
Feng Wu, Keqi Ye, Li Zhu +3
In this paper, two new efficient algorithms for calculating the sign function of the large-scale sparse matrix are proposed by combining filtering algorithm with Newton method and…
A filtering technique for the matrix power series being near-sparse
Feng Wu, Li Zhu, Yuelin Zhao +1
This work presents a new algorithm for matrix power series which is near-sparse, that is, there are a large number of near-zero elements in it. The proposed algorithm uses a filter…
A new stable and avoiding inversion iteration for computing matrix square root
Li Zhu, Keqi Ye, Yuelin Zhao +3
The objective of this research was to compute the principal matrix square root with sparse approximation. A new stable iterative scheme avoiding fully matrix inversion (SIAI) is pr…
High-performance computation of the exponential of a large sparse matrix
Feng Wu, Kailing Zhang, Li Zhu +1
Computation of the large sparse matrix exponential has been an important topic in many fields, such as network and finite-element analysis. The existing scaling and squaring algori…