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Weightless Neural Networks (WNNs) are a class of machine learning model which use table lookups to perform inference. This is in contrast with Deep Neural Networks (DNNs), which use multiply-accumulate operations. State-of-the-art WNN…

High order fast sweeping methods for efficiently solving steady state solutions of hyperbolic PDEs were not available yet on unstructured meshes. In this paper, we extend high order fast sweeping methods to unstructured triangular meshes by…

Numerical Analysis · Mathematics 2023-06-01 Liang Li , Jun Zhu , Yong-Tao Zhang

In this paper we introduce a general framework for defining and studying essentially non-oscillatory reconstruction procedures of arbitrarily high order accuracy, interpolating data in a central stencil around a given computational cell…

Numerical Analysis · Mathematics 2018-07-09 I. Cravero , G. Puppo , M. Semplice , G. Visconti

In this paper, we utilize the maximum-principle-preserving flux limiting technique, originally designed for high order weighted essentially non-oscillatory (WENO) methods for scalar hyperbolic conservation laws, to develop a class of high…

Numerical Analysis · Mathematics 2015-01-14 Andrew J. Christlieb , Yuan Liu , Qi Tang , Zhengfu Xu

This paper develops high-order well-balanced (WB) energy stable (ES) finite difference schemes for multi-layer (the number of layers $M\geqslant 2$) shallow water equations (SWEs) on both fixed and adaptive moving meshes, extending our…

Numerical Analysis · Mathematics 2025-03-18 Zhihao Zhang , Huazhong Tang , Junming Duan

In this paper, a high-order semi-implicit (SI) asymptotic preserving (AP) and divergence-free finite difference weighted essentially nonoscillatory (WENO) scheme is proposed for magnetohydrodynamic (MHD) equations. We consider the sonic…

Numerical Analysis · Mathematics 2023-06-14 Wei Chen , Kailiang Wu , Tao Xiong

A series of third- and fifth-order hybrid compact least-squares central weighted essentially non-oscillatory schemes are proposed and applied to curvilinear structured grids for the finite volume method. In smooth regions, compact…

Fluid Dynamics · Physics 2025-08-05 Jianhua Pan , Luxin Li , Ji Yin , Wei-Gang Zeng

Binary Neural Networks (BiNNs), which employ single-bit precision weights, have emerged as a promising solution to reduce memory usage and power consumption while maintaining competitive performance in large-scale systems. However, training…

Quantum Physics · Physics 2025-11-18 Luca Nepote , Alix Lhéritier , Nicolas Bondoux , Marios Kountouris , Maurizio Filippone

We present a new third-order, semi-discrete, central method for approximating solutions to multi-dimensional systems of hyperbolic conservation laws, convection-diffusion equations, and related problems. Our method is a high-order extension…

Numerical Analysis · Mathematics 2025-10-20 Alexander Kurganov , Doron Levy

We propose a third-order WENO reconstruction which satisfies the sign property, required for constructing high resolution entropy stable finite difference scheme for conservation laws. The reconstruction technique, which is termed as…

Numerical Analysis · Mathematics 2018-08-02 Ulrik S. Fjordholm , Deep Ray

In this paper, we combine the nonlinear HWENO reconstruction in \cite{newhwenozq} and the fixed-point iteration with Gauss-Seidel fast sweeping strategy, to solve the static Hamilton-Jacobi equations in a novel HWENO framework recently…

Numerical Analysis · Mathematics 2021-12-15 Yupeng Ren , Yulong Xing , Jianxian Qiu

Shepard method is a fast algorithm that has been classically used to interpolate scattered data in several dimensions. This is an important and well-known technique in numerical analysis founded in the main idea that data that is far away…

Numerical Analysis · Mathematics 2024-12-04 David Levin , José M. Ramón , Juan Ruiz-Alvarez , Dionisio F. Yáñez

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

In this paper, we develop new high-order numerical methods for hyperbolic systems of nonlinear partial differential equations (PDEs) with uncertainties. The new approach is realized in the semi-discrete finite-volume framework and is based…

This paper presents a highly robust third-order accurate finite volume weighted essentially non-oscillatory (WENO) method for special relativistic hydrodynamics on unstructured triangular meshes. We rigorously prove that the proposed method…

Numerical Analysis · Mathematics 2022-07-20 Yaping Chen , Kailiang Wu

The weighted essentially non-oscillatory {technique} using a stencil of $2r$ points (WENO-$2r$) is an interpolatory method that consists in obtaining a higher approximation order from the non-linear combination of interpolants of $r+1$…

Numerical Analysis · Mathematics 2024-04-26 Pep Mulet , Juan Ruiz-Alvarez , Chi-Wang Shu , Dionisio F. Yáñez

In this work, a framework to construct arbitrarily high-order low-dissipation shock-capturing schemes with flexible and controllable nonlinear dissipation for convection-dominated problems is proposed. While a set of candidate stencils of…

Numerical Analysis · Mathematics 2021-02-03 Yue Li , Lin Fu , Nikolaus A. Adams

Based on the solution formula method, a series of one-step fully-discrete schemes, such as FWENO/Full-WENO has been proposed. Storing the by-products conservative variables at the half points (grid center) and using them as interpolation…

Numerical Analysis · Mathematics 2024-08-21 Tong Zhou , Haitao Dong , Shucheng Pan

In this paper, we propose a novel Hermite weighted essentially non-oscillatory (HWENO) fast sweeping method to solve the static Hamilton-Jacobi equations efficiently. During the HWENO reconstruction procedure, the proposed method is built…

Numerical Analysis · Mathematics 2020-09-09 Yupeng Ren , Yulong Xing , Jianxian Qiu

In this paper we develop a non-diffusive neural network (NDNN) algorithm for accurately solving weak solutions to hyperbolic conservation laws. The principle is to construct these weak solutions by computing smooth local solutions in…

Numerical Analysis · Mathematics 2024-05-27 Emmanuel Lorin , Arian Novruzi
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