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相关论文: New High-Order Numerical Methods for Hyperbolic Sy…

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In this work, we provide a deep investigation of a family of arbitrary high order numerical methods for hyperbolic partial differential equations (PDEs), with particular emphasis on very high order versions, i.e., with order higher than 5.…

数值分析 · 数学 2025-05-09 Lorenzo Micalizzi , Eleuterio F. Toro

The weighted essentially non-oscillatory (WENO) schemes are a popular class of high order accurate numerical methods for solving hyperbolic partial differential equations (PDEs). The computational cost of such schemes increases…

数值分析 · 数学 2018-04-04 Dong Lu , Shanqin Chen , Yong-Tao Zhang

The present work proposes a well-balanced finite volume-type numerical method for the solution of non-conservative hyperbolic partial differential equations (PDEs) with source terms. The method is characterized, first, by the use of a…

数值分析 · 数学 2026-05-06 Chiara Colombo , Caterina Dalmaso , Lucas O. Müller , Annunziato Siviglia

The weighted essentially non-oscillatory (WENO) schemes are a popular class of high order accurate numerical methods for solving hyperbolic partial differential equations (PDEs). However when the spatial dimensions are high, the number of…

数值分析 · 数学 2020-07-21 Xiaozhi Zhu , Yong-Tao Zhang

The weighted essentially non-oscillatory (WENO) methods are popular and effective spatial discretization methods for nonlinear hyperbolic partial differential equations. Although these methods are formally first-order accurate when a shock…

数值分析 · 数学 2020-09-29 David Frenzel , Jens Lang

We present a finite volume method that is applicable to hyperbolic PDEs including spatially varying and semilinear nonconservative systems. The spatial discretization, like that of the well-known Clawpack software, is based on solving…

数值分析 · 数学 2013-07-16 David I. Ketcheson , Matteo Parsani , Randall J. LeVeque

This work aims to extend the well-known high-order WENO finite-difference methods for systems of conservation laws to nonconservative hyperbolic systems. The main difficulty of these systems both from the theoretical and the numerical…

数值分析 · 数学 2025-03-04 B. Ren , C. Parés

We propose a predictor-corrector adaptive method for the study of hyperbolic partial differential equations (PDEs) under uncertainty. Constructed around the framework of stochastic finite volume (SFV) methods, our approach circumvents…

数值分析 · 数学 2024-01-24 Jake J. Harmon , Svetlana Tokareva , Anatoly Zlotnik , Pieter J. Swart

In this paper, we propose an adaptive high-order method for hyperbolic systems of conservation laws. The proposed method is based on a dual formulation approach: Two numerical solutions, corresponding to conservative and nonconservative…

数值分析 · 数学 2026-01-29 Alina Chertock , Qingcheng Fu , Alexander Kurganov , Lorenzo Micalizzi

In this paper, we study the stochastic collocation (SC) methods for uncertainty quantification (UQ) in hyperbolic systems of nonlinear partial differential equations (PDEs). In these methods, the underlying PDEs are numerically solved at a…

数值分析 · 数学 2025-06-19 Alina Chertock , Arsen S. Iskhakov , Safa Janajra , Alexander Kurganov

We present novel model reduction methods for rapid solution of parametrized nonlinear partial differential equations (PDEs) in real-time or many-query contexts. Our approach combines reduced basis (RB) space for rapidly convergent…

数值分析 · 数学 2024-10-04 Ngoc Cuong Nguyen

Motivated by important applications in image processing, we study a class of second-order geometric quasilinear hyperbolic partial differential equations (PDEs). This is inspired by the recent development of second-order damping systems…

偏微分方程分析 · 数学 2025-01-06 Guozhi Dong , Michael Hintermüller , Ye Zhang

This paper deals with a new fifth-order weighted essentially non-oscillatory (WENO) scheme improving the WENO-NS and WENO-P methods which are introduced in Ha et al. J. Comput. Phys. (2013) and Kim et al., J. Sci. Comput. (2016)…

数值分析 · 数学 2023-03-30 Samala Rathan , G Naga Raju

Several relaxation approximations to partial differential equations have been recently proposed. Examples include conservation laws, Hamilton-Jacobi equations, convection-diffusion problems, gas dynamics problems. The present paper focuses…

数值分析 · 数学 2007-05-23 Fausto Cavalli , Giovanni Naldi , Gabriella Puppo , Matteo Semplice

We present a new finite difference shock-capturing scheme for hyperbolic equations on static uniform grids. The method provides selectable high-order accuracy by employing a kernel-based Gaussian Process (GP) data prediction method which is…

计算物理 · 物理学 2019-02-20 Adam Reyes , Dongwook Lee , Carlo Graziani , Petros Tzeferacos

We develop new dynamically orthogonal tensor methods to approximate multivariate functions and the solution of high-dimensional time-dependent nonlinear partial differential equations (PDEs). The key idea relies on a hierarchical…

数值分析 · 数学 2020-01-29 Alec Dektor , Daniele Venturi

We develop high-order numerical schemes to solve random hyperbolic conservation laws using linear programming. The proposed schemes are high-order extensions of the existing first-order scheme introduced in [{\sc S. Chu, M. Herty, M.…

数值分析 · 数学 2025-09-03 Shaoshuai Chu , Michael Herty

In this paper we propose new Z-type nonlinear weights of the fifth-order weighted essentially non-oscillatory (WENO) finite difference scheme for hyperbolic conservation laws. Instead of employing the classical smoothness indicators for the…

数值分析 · 数学 2022-08-09 Jiaxi Gu , Xinjuan Chen , Jae-Hun Jung

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…

数值分析 · 数学 2025-10-20 Alexander Kurganov , Doron Levy

The present paper introduces a class of finite volume schemes of increasing order of accuracy in space and time for hyperbolic systems that are in conservation form. This paper specifically focuses on Euler system that is used for modeling…

计算物理 · 物理学 2009-11-13 Dinshaw S. Balsara , Tobias Rumpf , Michael Dumbser , Claus-Dieter Munz
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