343 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Southern University of Science and TechnologyCN27 papers
- South China University of TechnologyCN4 papers
- Hiroshima UniversityJP3 papers
- Peking UniversityCN3 papers
- University of Chinese Academy of SciencesCN3 papers
- California NanoSystems InstituteUS2 papers
- Chinese Academy of Medical Sciences & Peking Union Medical CollegeCN2 papers
- Chongqing UniversityCN2 papers
- National Supercomputing Center in ShenzhenCN2 papers
- National University of SingaporeSG2 papers
- Peng Cheng LaboratoryCN2 papers
- University of California, Los AngelesUS2 papers
5 papers · 1 filter
Is the Classic Convex Decomposition Optimal for Bound-Preserving Schemes in Multiple Dimensions?
Shumo Cui, Shengrong Ding, Kailiang Wu
Since proposed in [X. Zhang and C.-W. Shu, J. Comput. Phys., 229: 3091--3120, 2010], the Zhang--Shu framework has attracted extensive attention and motivated many bound-preserving…
Stochastic Galerkin method for cloud simulation. Part II: a fully random Navier-Stokes-cloud model
A. Chertock, A. Kurganov, M. Lukáčová-Medviďová +2
This paper is a continuation of the work presented in [Chertock et al., Math. Cli. Weather Forecast. 5, 1 (2019), 65--106]. We study uncertainty propagation in warm cloud dynamics…
A decreasing upper bound of energy for time-fractional phase-field equations
Chaoyu Quan, Tao Tang, Boyi Wang +1
In this article, we study the energy dissipation property of time-fractional Allen-Cahn equation. We propose a decreasing upper bound of energy that decreases with respect to time…
A provably efficient monotonic-decreasing algorithm for shape optimization in Stokes flows by phase-field approaches
Futuan Li, Jiang Yang
In this work, we study shape optimization problems in the Stokes flows. By phase-field approaches, the resulted total objective function consists of the dissipation energy of the f…
Sparse Signal Recovery from Phaseless Measurements via Hard Thresholding Pursuit
Jian-Feng Cai, Jingzhi Li, Xiliang Lu +1
In this paper, we consider the sparse phase retrieval problem, recovering an -sparse signal from phaseless samples $y_i=|\langle\bm{x}^{\n…