A5102737561- Algebraic Geometry and Number Theory
- Meromorphic and Entire Functions
- Probability and Risk Models
- Advanced Harmonic Analysis Research
- Advanced Banach Space Theory
- Statistical Distribution Estimation and Applications
- Flow Measurement and Analysis
- Algebraic structures and combinatorial models
- Advanced Algebra and Geometry
- Graph Labeling and Dimension Problems
- Geometry and complex manifolds
- Scientific Measurement and Uncertainty Evaluation
- Financial Risk and Volatility Modeling
- Graph theory and applications
- Target Tracking and Data Fusion in Sensor Networks
- Synthesis and Properties of Aromatic Compounds
Hefei University of Technology
2023
IIT@MIT
2020
Beijing Computing Center
2017
Anhui University
2014-2015
Guangzhou University
2014
Uncertainty evaluation for unknown distribution data is a key problem to be solved in uncertainty theory. To evaluate the measurement of with distributions, novel method based on particle filter (PF) and beta proposed this paper. A wide adaptability was adopted as type results, parameters were taken estimated, state-space model established. The PF method, suitable non-Gaussian data, utilized obtain estimates according results. Finally, best results their calculated using parameters....
Suppose that $G$ is a connected simple graph with the vertex set $V( G ) = \{ v_1,v_2,\cdots ,v_n \} $. Let $d( v_i,v_j $ be distance between $v_i$ and $v_j$. Then matrix of $D( =( d_{ij} )_{n\times n}$, where $d_{ij}=d( Since )$ non-negative real symmetric matrix, its eigenvalues can arranged $λ_1(G)\ge λ_2(G)\ge \cdots \ge λ_n(G)$, $λ_1(G)$ $λ_n(G)$ are called spectral radius least eigenvalue $G$, respectively. The {\it diameter} farthest all pairs vertices. In this paper, we determine...