Zobrazeno 1 - 10
of 138
pro vyhledávání: '"Lin,Yiwen"'
Autor:
Wang, Yuelin, Lin, Yiwen
In this work, we focus on the mean-field limit of the Random Batch Method (RBM) for the Cucker-Smale model. Different from the classical mean-field limit analysis, the chaos in this model is imposed at discrete time and is propagated to discrete time
Externí odkaz:
http://arxiv.org/abs/2407.21297
On a class of multi-fidelity methods for the semiclassical Schr\'odinger equation with uncertainties
Autor:
Lin, Yiwen, Liu, Liu
In this paper, we study the semiclassical Schr\"odinger equation with random parameters and develop several robust multi-fidelity methods. We employ the time-splitting Fourier pseudospectral (TSFP) method for the high-fidelity solver, and consider di
Externí odkaz:
http://arxiv.org/abs/2406.05489
Collaboration is key to STEM, where multidisciplinary team research can solve complex problems. However, inequality in STEM fields hinders their full potential, due to persistent psychological barriers in underrepresented students' experience. This p
Externí odkaz:
http://arxiv.org/abs/2402.00037
Autor:
Lin, Yiwen, Jin, Shi
Uniform error estimates of a bi-fidelity method for a kinetic-fluid coupled model with random initial inputs in the fine particle regime are proved in this paper. Such a model is a system coupling the incompressible Navier-Stokes equations to the Vla
Externí odkaz:
http://arxiv.org/abs/2308.08130
This paper investigates the elastic scattering by unbounded deterministic and random rough surfaces, which both are assumed to be graphs of Lipschitz continuous functions. For the deterministic case, an a priori bound explicitly dependent on frequenc
Externí odkaz:
http://arxiv.org/abs/2302.12996
The paper considers direct and inverse elastic scattering from a cavity in homogeneous medium with Dirichlet and Neumann boundary conditions. For direct scattering, existence and uniqueness are derived by variation approach. For inverse scattering, F
Externí odkaz:
http://arxiv.org/abs/2302.12962
Autor:
Jin, Shi, Lin, Yiwen
We consider coupled models for particulate flows, where the disperse phase is made of particles with distinct sizes. We are thus led to a system coupling the incompressible Navier-Stokes equations to the multi-component Vlasov-Fokker-Planck equations
Externí odkaz:
http://arxiv.org/abs/2212.08844
Stability results for the Helmholtz equations in both deterministic and random periodic structures are proved in this paper. Under the assumption of excluding resonances, by a variational method and Fourier analysis in the energy space, the stability
Externí odkaz:
http://arxiv.org/abs/2210.10359
Ensembles of Convolutional neural networks have shown remarkable results in learning discriminative semantic features for image classification tasks. Though, the models in the ensemble often concentrate on similar regions in images. This work propose
Externí odkaz:
http://arxiv.org/abs/2205.11606
Publikováno v:
In Chinese Chemical Letters December 2024 35(12)
