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We present a newly developed cosmological hydrodynamics code based on weighted essentially non-oscillatory (WENO) schemes for hyperbolic conservation laws. WENO is a higher order accurate finite difference scheme designed for problems with…

Astrophysics · Physics 2009-11-10 Long-Long Feng , Chi-Wang Shu , Meng-Ping Zhang

In this paper, we focus on the finite difference approximation of nonlinear degenerate parabolic equations, a special class of parabolic equations where the viscous term vanishes in certain regions. This vanishing gives rise to additional…

Numerical Analysis · Mathematics 2024-06-11 Ziyao Xu , Yong-Tao Zhang

We present a novel mapping approach for WENO schemes through the use of an approximate constant mapping function which is constructed by employing an approximation of the classic signum function. The new approximate constant mapping…

Numerical Analysis · Mathematics 2022-02-04 Ruo Li , Wei Zhong

Diffusion Large Language Models (DLLMs) have emerged as a compelling alternative to Autoregressive models, designed for fast parallel generation. However, existing DLLMs are plagued by a severe quality-speed trade-off, where faster parallel…

Computation and Language · Computer Science 2025-09-29 Feng Hong , Geng Yu , Yushi Ye , Haicheng Huang , Huangjie Zheng , Ya Zhang , Yanfeng Wang , Jiangchao Yao

Fixed-point fast sweeping methods are a class of explicit iterative methods developed in the literature to efficiently solve steady state solutions of hyperbolic partial differential equations (PDEs). As other types of fast sweeping…

Numerical Analysis · Mathematics 2025-01-17 Zachary M. Miksis , Yong-Tao Zhang

Diffusion Large Language Models (DLLMs) promise fast parallel generation, yet open-source DLLMs still face a severe quality-speed trade-off: accelerating decoding by revealing multiple tokens often causes substantial quality degradation. We…

Computation and Language · Computer Science 2026-05-19 Fanqin Zeng , Feng Hong , Geng Yu , Huangjie Zheng , Xiaofeng Cao , Ya Zhang , Bo Han , Yanfeng Wang , Jiangchao Yao

Recurrent stochastic configuration networks (RSCNs) have shown great potential in modelling nonlinear dynamic systems with uncertainties. This paper presents an RSCN with hybrid regularization to enhance both the learning capacity and…

Machine Learning · Computer Science 2024-12-03 Gang Dang , Dianhui Wang

In the context of preserving stationary states, e.g. lake at rest and moving equilibria, a new formulation of the shallow water system, called Flux Globalization has been introduced by Cheng et al. (2019). This approach consists in…

Numerical Analysis · Mathematics 2023-11-09 Mirco Ciallella , Davide Torlo , Mario Ricchiuto

In this paper, a third order gas kinetic scheme is developed on the three dimensional hybrid unstructured meshes for the numerical simulation of compressible inviscid and viscous flows. A third-order WENO reconstruction is developed on the…

Numerical Analysis · Mathematics 2022-04-18 Yaqing Yang , Liang Pan , Kun Xu

We discuss the order, efficiency, stability and positivity of several meshless schemes for linear scalar hyperbolic equations. Meshless schemes are Generalised Finite Difference Methods (GFDMs) for arbitrary irregular grids in which there…

Numerical Analysis · Mathematics 2025-10-28 Klaas Willems , Giovanni Samaey , Axel Klar

In this paper, a high order implicit Method of Line Transpose (MOL$^T$ ) method based on a weighted essentially non-oscillatory (WENO) methodology is developed for one-dimensional linear transport equations and further applied to the…

Numerical Analysis · Mathematics 2016-11-23 Andrew Christlieb , Wei Guo , Yan Jiang

Alternative finite difference Weighted Essentially Non-Oscillatory (AFD-WENO) schemes allow us to very efficiently update hyperbolic systems even in complex geometries. Recent innovations in AFD-WENO methods allow us to treat hyperbolic…

Numerical Analysis · Mathematics 2026-02-03 Dinshaw S. Balsara , Deepak Bhoriya , Chi-Wang Shu

Deep neural networks have had an enormous impact on image analysis. State-of-the-art training methods, based on weight decay and DropOut, result in impressive performance when a very large training set is available. However, they tend to…

Machine Learning · Computer Science 2019-09-02 Amal Rannen Triki , Matthew B. Blaschko

In this study, we introduce a tensor-train (TT) finite difference WENO method for solving compressible Euler equations. In a step-by-step manner, the tensorization of the governing equations is demonstrated. We also introduce…

Numerical Analysis · Mathematics 2024-05-22 Mustafa Engin Danis , Duc Truong , Ismael Boureima , Oleg Korobkin , Kim Rasmussen , Boian Alexandrov

A high order finite difference method is proposed for unstructured meshes to simulate compressible inviscid/viscous flows with/without discontinuities. In this method, based on the strong form equation, the divergence of the flux on each…

Numerical Analysis · Mathematics 2021-09-08 Zeyuan Zhou , Mei-Yuan Zhen , Kun Qu , Jin-Sheng Cai

In this work, we present the feedforward neural network based on the conservative approximation to the derivative from point values, for the weighted essentially non-oscillatory (WENO) schemes in solving hyperbolic conservation laws. The…

Numerical Analysis · Mathematics 2025-07-09 Kwanghyuk Park , Jiaxi Gu , Jae-Hun Jung

We introduce a WENO reconstruction based on Hermite interpolation both for semi-Lagrangian and finite difference methods. This WENO reconstruction technique allows to control spurious oscillations. We develop third and fifth order methods…

Numerical Analysis · Mathematics 2015-06-18 Chang Yang , Francis Filbet

We propose a simple modification of standard WENO finite volume methods for Cartesian grids, which retains the full spatial order of accuracy of the one-dimensional discretization when applied to nonlinear multidimensional systems of…

Numerical Analysis · Mathematics 2016-08-30 Pawel Buchmüller , Christiane Helzel

Turbulent flows have high requirements for very fine meshes near the boundary to ensure accuracy. In the context of topology optimization (TO), such fine meshes become unrealistic and common approaches are hampered by low accuracy and…

Fluid Dynamics · Physics 2026-01-06 Amirhossein Bayat , Hao Li , Joe Alexandersen

We develop new more efficient A-WENO schemes for both hyperbolic systems of conservation laws and nonconservative hyperbolic systems. The new schemes are a very simple modification of the existing A-WENO schemes: They are obtained by a more…

Numerical Analysis · Mathematics 2025-05-26 Shaoshuai Chu , Alexander Kurganov , Ruixiao Xin