A5100402579- Advanced Numerical Methods in Computational Mathematics
- Computational Fluid Dynamics and Aerodynamics
- Advanced Mathematical Modeling in Engineering
- Numerical methods for differential equations
- Differential Equations and Numerical Methods
- Model Reduction and Neural Networks
- Numerical methods in engineering
- Lattice Boltzmann Simulation Studies
- Electromagnetic Simulation and Numerical Methods
- Fluid Dynamics and Turbulent Flows
- Simulation and Modeling Applications
- Fractional Differential Equations Solutions
- Mathematical and Theoretical Epidemiology and Ecology Models
- Nonlinear Differential Equations Analysis
- Matrix Theory and Algorithms
- Numerical methods in inverse problems
- Neural Networks and Applications
- Civil and Geotechnical Engineering Research
- Probabilistic and Robust Engineering Design
- Differential Equations and Boundary Problems
- Neural Networks Stability and Synchronization
- Soil, Finite Element Methods
- Iterative Methods for Nonlinear Equations
- Ion-surface interactions and analysis
- Nanofluid Flow and Heat Transfer
Shaanxi University of Science and Technology
2010-2024
Xinjiang University
2024
Northeastern University
2023-2024
Northeast Forestry University
2024
West China Hospital of Sichuan University
2023
Sichuan University
2023
China University of Petroleum, East China
2023
Act Health
2023
Henan University of Science and Technology
2023
Waitemata District Health Board
2023
This paper presents a series of user parameter-free iterative Sparse Asymptotic Minimum Variance (SAMV) approaches for array processing applications based on the asymptotically minimum variance (AMV) criterion. With assumption abundant snapshots in direction-of-arrival (DOA) estimation problem, signal powers and noise are jointly estimated by proposed AMV approach, which is later proved to coincide with Maximum Likelihood (ML) estimator. We then propose power-based SAMV approaches, robust...
The average grain size in Ar+-irradiated Cu films at room temperature increases with ion dose, following a relationship of d̄3.3−d̄3.30 =Kφ. For Ar+ and Xe++ irradiations, the growth kinetics are independent T≤−60 °C increase range from −60 to 102 °C. activation energy temperature-dependent contribution boundary migration is about 0.14 eV, rate flux, suggesting that ion-irradiation-induced associated thermal spike diffusion.
We study several stochastic combinatorial problems, including the expected utility maximization problem, knapsack problem and bin packing problem. A common technical challenge in these problems is to optimize some function (other than expectation) of sum a set random variables. The difficulty mainly due fact that probability distribution convolution distributions, which not an easy objective work with. To tackle this difficulty, we introduce Poisson approximation technique. technique based...
This paper proposes a variable time step, second-order filter algorithm for the closed-loop geothermal system first time. The is easy to implement in programming, which greatly improves calculation efficiency, while improving accuracy of convergence. Theoretically, we mainly analyze stability and convergence case steps. Finally, numerical experiments confirm theoretical results show that can simulate well.