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A so-called grid-overlay finite difference method (GoFD) was proposed recently for the numerical solution of homogeneous Dirichlet boundary value problems of the fractional Laplacian on arbitrary bounded domains. It was shown to have…

数值分析 · 数学 2025-03-05 Jinye Shen , Bowen Shi , Weizhang Huang

Introducing flexibility in the time-discretisation mesh can improve convergence and computational time when solving differential equations numerically, particularly when the solutions are discontinuous, as commonly found in control problems…

In wave propagation problems, finite difference methods implemented on staggered grids are commonly used to avoid checkerboard patterns and to improve accuracy in the approximation of short-wavelength components of the solutions. In this…

数值分析 · 数学 2026-01-15 Micol Bassanini , Simone Deparis , Paolo Ricci

Finite volume methods for problems involving second order operators with full diffusion matrix can be used thanks to the definition of a discrete gradient for piecewise constant functions on unstructured meshes satisfying an orthogonality…

数值分析 · 数学 2016-08-16 Robert Eymard , Thierry Gallouët , Raphaèle Herbin

Derivative boundary conditions introduce challenges for mesh-free discretizations of PDEs on surfaces, especially when the domain is represented by randomly sampled point clouds. The recently developed two-step tangent-space RBF-generated…

数值分析 · 数学 2026-03-31 Peng Chen , Shixiao Willing Jiang , Rongji Li , Qile Yan

Masked discrete diffusion is a dominant paradigm for high-quality language modeling where tokens are iteratively corrupted to a mask state, yet its inference efficiency is bottlenecked by the lack of deterministic sampling tools. While…

机器学习 · 计算机科学 2026-02-03 Guinan Chen , Xunpeng Huang , Ying Sun , Shijin Wang , Yanyong Zhang , Chao Wang

We present a hybrid mimetic finite-difference and virtual element formulation for coupled single-phase poromechanics on unstructured meshes. The key advantage of the scheme is that it is convergent on complex meshes containing highly…

The decentralized gradient descent (DGD) algorithm, and its sibling, diffusion, are workhorses in decentralized machine learning, distributed inference and estimation, and multi-agent coordination. We propose a novel, principled framework…

信号处理 · 电气工程与系统科学 2025-06-04 Erik G. Larsson , Nicolo Michelusi

We investigate the connections between several recent methods for the discretization of anisotropic heterogeneous diffusion operators on general grids. We prove that the Mimetic Finite Difference scheme, the Hybrid Finite Volume scheme and…

数值分析 · 数学 2010-11-01 Jerome Droniou , Robert Eymard , Thierry Gallouët , Raphaele Herbin

It is known that the solution of a conservative steady-state two-sided fractional diffusion problem can exhibit singularities near the boundaries. As consequence of this, and due to the conservative nature of the problem, we adopt a finite…

数值分析 · 数学 2022-09-20 Marco Donatelli , Rolf Krause , Mariarosa Mazza , Ken Trotti

Recent advances in tuning-free personalized image generation based on diffusion models are impressive. However, to improve subject fidelity, existing methods either retrain the diffusion model or infuse it with dense visual embeddings, both…

计算机视觉与模式识别 · 计算机科学 2024-03-25 Zhichao Wei , Qingkun Su , Long Qin , Weizhi Wang

This article introduces a new and general construction of discrete Hodge operator in the context of Discrete Exterior Calculus (DEC). This discrete Hodge operator enables to circumvent the well-centeredness limitation on the mesh with the…

计算工程、金融与科学 · 计算机科学 2021-11-29 Rama Ayoub , Aziz Hamdouni , Dina Razafindralandy

Mesh offsetting plays an important role in discrete geometric processing. In this paper, we propose a parallel feature-preserving mesh offsetting framework with variable distance. Different from the traditional method based on distance and…

图形学 · 计算机科学 2023-10-16 Hongyi Cao , Gang Xu , Renshu Gu , Jinlan Xu , Xiaoyu Zhang , Timon Rabczuk

We propose a new neural network, called isomorphic mesh generator (iMG), which generates isomorphic meshes from point clouds containing noise and missing parts. Isomorphic meshes of arbitrary objects have a unified mesh structure even…

计算机视觉与模式识别 · 计算机科学 2022-10-26 Shoko Miyauchi , Ken'ichi Morooka , Ryo Kurazume

LiDAR point clouds can effectively depict the motion and posture of objects in three-dimensional space. Many studies accomplish the 3D object detection by voxelizing point clouds. However, in autonomous driving scenarios, the sparsity and…

计算机视觉与模式识别 · 计算机科学 2024-08-13 Yongxin Shao , Aihong Tan , Binrui Wang , Tianhong Yan , Zhetao Sun , Yiyang Zhang , Jiaxin Liu

We are interested in reconstructing the mesh representation of object surfaces from point clouds. Surface reconstruction is a prerequisite for downstream applications such as rendering, collision avoidance for planning, animation, etc.…

计算机视觉与模式识别 · 计算机科学 2020-10-01 Minghua Liu , Xiaoshuai Zhang , Hao Su

We address here the discretization of the momentum convection operator for fluid flow simulations on 2D triangular and quadrangular meshes and 3D polyhedral meshes containing hexahedra, tetrahedra, prisms and pyramids. The finite volume…

数值分析 · 数学 2022-09-15 Aubin Brunel , Raphaèle Herbin , Jean-Claude Latché

This paper shows that lumped directed-area vectors at edges and dual control volumes required to implement the edge-based discretization can be computed without explicitly defining the dual control volume around each node for triangular and…

数值分析 · 数学 2025-02-04 Hiroaki Nishikawa

This paper proposes a mode multigrid (MMG) method, and applies it to accelerate the convergence of the steady state flow on unstructured grids. The dynamic mode decomposition (DMD) technique is used to analyze the convergence process of…

计算物理 · 物理学 2018-02-27 Yilang Liu , Weiwei Zhang , Jiaqing Kou

The generation of triangle meshes from point clouds, i.e. meshing, is a core task in computer graphics and computer vision. Traditional techniques directly construct a surface mesh using local decision heuristics, while some recent methods…

计算机视觉与模式识别 · 计算机科学 2022-10-06 Mathias Vetsch , Sandro Lombardi , Marc Pollefeys , Martin R. Oswald