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20212026
most citedTwo Iterative algorithms for the matrix sign function based on the adaptive filtering technology

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CE2026

A Voxel-Based Quantum Computing Method (VBQC) for Solid Mechanics Problem

Feng Wu, Yuxiang Yang, Li Zhu +3

Quantum computing presents a promising method to overcome the efficiency and memory constraints in large-scale mechanical problems, with numerous successful applications demonstrat…

cs.CE2025

A Key Conditional Quotient Filter for Nonlinear, non-Gaussian and non-Markovian System

Yuelin Zhao, Feng Wu, Li Zhu

This paper proposes a novel and efficient key conditional quotient filter (KCQF) for the estimation of state in the nonlinear system which can be either Gaussian or non-Gaussian, a…

cs.CE2024

Conditional Uncertainty Quantification of Stochastic Dynamical Structures Considering Measurement Conditions

Feng Wu, Yuelin Zhao, Li Zhu

How to accurately quantify the uncertainty of stochastic dynamical responses affected by uncertain loads and structural parameters is an important issue in structural safety and re…

math.NA2022★ 1 cited

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…

math.NA2022

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…

math.NA2022

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…

math.NA2021

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…