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相关论文: Lax-Wendroff Flux Reconstruction for advection-dif…

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A reaction-diffusion problem with a Caputo time derivative is considered. An integral discretization scheme on a graded mesh along with a decomposition of the exact solution is proposed. The truncation error estimate of the discretization…

数值分析 · 数学 2018-10-19 Zhongdi Cen , Jian Huang , Anbo Le , Aimin Xu

We study an elliptic interface problem with discontinuous diffusion coefficients on unfitted meshes using the CutFEM method. Our main contribution is the reconstruction of conservative fluxes from the CutFEM solution and their use in a…

数值分析 · 数学 2025-07-11 Daniela Capatina , Aimene Gouasmi , Cuiyu He

This paper deals with the scheme proposed by the authors in Zor\'io, Baeza and Mulet (J Sci Comput 71(1):246-273, 2017). This scheme is an alternative to the techniques proposed in Qiu and Shu (SIAM J Sci Comput 24(6):2185-2198, 2003) to…

数值分析 · 数学 2025-02-13 Antonio Baeza , Pep Mulet , David Zorío

In this work, we investigate a quasilinear subdiffusion model which involves a fractional derivative of order $\alpha \in (0,1)$ in time and a nonlinear diffusion coefficient. First, using smoothing properties of solution operators for…

数值分析 · 数学 2024-07-30 Bangti Jin , Qimeng Quan , Barbara Wohlmuth , Zhi Zhou

Extended formulation of Full Waveform Inversion (FWI), called Wavefield Reconstruction Inversion (WRI), offers potential benefits of decreasing the nonlinearity of the inverse problem by replacing the explicit inverse of the ill-conditioned…

最优化与控制 · 数学 2020-05-18 Hossein S. Aghamiry , Ali Gholami , Stéphane Operto

Provable nonlinear stability bounds the discrete approximation and ensures that the discretization does not diverge. For high-order methods, discrete nonlinear stability and entropy stability, have been successfully implemented for…

数值分析 · 数学 2023-12-14 Alexander Cicchino , Siva Nadarajah

The paper is concerned with overlapping domain decomposition and exponential time differencing for the diffusion equation discretized in space by cell-centered finite differences. Two localized exponential time differencing methods are…

数值分析 · 数学 2017-11-08 Thi-Thao-Phuong Hoang , Lili Ju , Zhu Wang

We present a new approach to parallelization of the first-order backward difference discretization (BDF1) of the time derivative in partial differential equations, such as the nonlinear heat and viscous Burgers equations. The time…

数值分析 · 数学 2024-06-04 Nail K. Yamaleev , Subhash Paudel

Anomalous diffusion in the presence or absence of an external force field is often modelled in terms of the fractional evolution equations, which can involve the hyper-singular source term. For this case, conventional time stepping methods…

数值分析 · 数学 2023-09-19 Jiankang Shi , Minghua Chen , Jianxiong Cao

Vision-Language Latent Diffusion Models (LDMs) (Rombach et al., 2022) provide powerful generative priors for inverse problems. However, existing LDM-based inverse solvers typically require a large number of neural function evaluations…

机器学习 · 统计学 2026-05-11 Alessio Spagnoletti , Tim Y. J. Wang , Marcelo Pereyra , O. Deniz Akyildiz

Recent advances in inverse problem solving have increasingly adopted flow priors over diffusion models due to their ability to construct straight probability paths from noise to data, thereby enhancing efficiency in both training and…

计算机视觉与模式识别 · 计算机科学 2025-11-11 Hossein Askari , Yadan Luo , Hongfu Sun , Fred Roosta

In this paper, we develop two fast implicit difference schemes for solving a class of variable-coefficient time-space fractional diffusion equations with integral fractional Laplacian (IFL). The proposed schemes utilize the graded $L1$…

数值分析 · 数学 2021-07-26 Xian-Ming Gu , Hai-Wei Sun , Yanzhi Zhang , Yong-Liang Zhao

In this work, we investigate an inverse problem of recovering multiple orders in a time-fractional diffusion model from the data observed at one single point on the boundary. We prove the unique recovery of the orders together with their…

数值分析 · 数学 2021-11-17 Bangti Jin , Yavar Kian

The aim of this paper is to develop and analyze numerical schemes for approximately solving the backward problem of subdiffusion equation involving a fractional derivative in time with order $\alpha\in(0,1)$. After using quasi-boundary…

数值分析 · 数学 2020-10-28 Zhengqi Zhang , Zhi Zhou

Implicit time-stepping for advection is applied locally in space and time where Courant numbers are large, but standard explicit time-stepping is used for the remaining solution which is typically the majority. This adaptively implicit…

流体动力学 · 物理学 2024-06-14 Hilary Weller , Christian Kuehnlein , Piotr K. Smolarkiewicz

High-order temporal discretizations for hyperbolic conservation laws have historically been formulated as either a method of lines (MOL) or a Lax-Wendroff method. In the MOL viewpoint, the partial differential equation is treated as a large…

数值分析 · 数学 2014-09-01 David C. Seal , Yaman Güçlü , Andrew J. Christlieb

In this article, a high-order time-stepping scheme based on the cubic interpolation formula is considered to approximate the generalized Caputo fractional derivative (GCFD). Convergence order for this scheme is $(4-\alpha)$, where $\alpha…

数值分析 · 数学 2022-10-12 Sarita Kumari , Rajesh K. Pandey , R. P. Agarwal

In this paper we present a fourth-order in space and time block-structured adaptive mesh refinement algorithm for the compressible multicomponent reacting Navier-Stokes equations. The algorithm uses a finite volume approach that…

流体动力学 · 物理学 2019-02-15 Matthew Emmett , Emmanuel Motheau , Weiqun Zhang , Michael Minion , John B. Bell

We report in this paper the analysis for the linear and nonlinear version of the flux corrected transport (FEM-FCT) scheme in combination with the backward Euler time-stepping scheme applied to time-dependent convection-diffusion-reaction…

数值分析 · 数学 2021-03-17 Abhinav Jha , Naveed Ahmed

Computational fluid dynamics (CFD) simulations play an important role in engineering science and applications, however, it is not applicable for problems requiring a large number of repeated calculations. Accordingly, many reduced-order…

流体动力学 · 物理学 2026-05-28 Shan Ding , Yongfu Tian , Rui Yang