1 citations · 2 across the 7 of their papers we have counts for
7 papers
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…
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…
Low-discrepancy Sampling in the Expanded Dimensional Space: An Acceleration Technique for Particle Swarm Optimization
Feng Wu, Yuelin Zhao, Jianhua Pang +2
Compared with random sampling, low-discrepancy sampling is more effective in covering the search space. However, the existing research cannot definitely state whether the impact of…
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…