Li Wang

Orcid: 0000-0002-0593-8175

Affiliations:
  • University of Minnesota, School of Mathematics, Minneapolis, MN, USA


According to our database1, Li Wang authored at least 16 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2017
2018
2019
2020
2021
2022
2023
2024
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Links

Online presence:

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Bibliography

2024
Suppressing instability in a Vlasov-Poisson system by an external electric field through constrained optimization.
J. Comput. Phys., February, 2024

Deep JKO: Time-implicit particle methods for general nonlinear gradient flows.
J. Comput. Phys., 2024

2023
Monte Carlo Gradient in Optimization Constrained by Radiative Transport Equation.
SIAM J. Numer. Anal., December, 2023

Differential-Equation Constrained Optimization With Stochasticity.
CoRR, 2023

2022
A proximal-gradient algorithm for crystal surface evolution.
Numerische Mathematik, 2022

Hessian Informed Mirror Descent.
J. Sci. Comput., 2022

Primal Dual Methods for Wasserstein Gradient Flows.
Found. Comput. Math., 2022

Bayesian Instability of Optical Imaging: Ill Conditioning of Inverse Linear and Nonlinear Radiative Transfer Equation in the Fluid Regime.
Comput., 2022

2021
Accurate Front Capturing Asymptotic Preserving Scheme for Nonlinear Gray Radiative Transfer Equation.
SIAM J. Sci. Comput., 2021

Toward Understanding the Boundary Propagation Speeds in Tumor Growth Models.
SIAM J. Appl. Math., 2021

Variational Asymptotic Preserving Scheme for the Vlasov-Poisson-Fokker-Planck System.
Multiscale Model. Simul., 2021

2019
Towards understanding the boundary propagation speeds in tumor growth models.
CoRR, 2019

2018
A New Numerical Approach to Inverse Transport Equation with Error Analysis.
SIAM J. Numer. Anal., 2018

Stability of Inverse Transport Equation in Diffusion Scaling and Fokker-Planck Limit.
SIAM J. Appl. Math., 2018

An accurate front capturing scheme for tumor growth models with a free boundary limit.
J. Comput. Phys., 2018

2017
Uniform Regularity for Linear Kinetic Equations with Random Input Based on Hypocoercivity.
SIAM/ASA J. Uncertain. Quantification, 2017


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