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Related papers: Tensor-Product Split-Simplex Summation-By-Parts Op…

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We present an extension of the summation-by-parts (SBP) framework to tensor-product spectral-element operators in collapsed coordinates. The proposed approach enables the construction of provably stable discretizations of arbitrary order…

Numerical Analysis · Mathematics 2025-04-29 Tristan Montoya , David W. Zingg

We present a new class of efficient and robust discontinuous spectral-element methods of arbitrary order for nonlinear hyperbolic systems of conservation laws on curved triangular and tetrahedral unstructured grids. Such discretizations…

Numerical Analysis · Mathematics 2025-04-29 Tristan Montoya , David W. Zingg

We investigate the construction and performance of summation-by-parts (SBP) operators, which offer a powerful framework for the systematic development of structure-preserving numerical discretizations of partial differential equations.…

Numerical Analysis · Mathematics 2026-02-12 Jan Glaubitz , Armin Iske , Joshua Lampert , Philipp Öffner

Summation-by-parts (SBP) finite-difference discretizations share many attractive properties with Galerkin finite-element methods (FEMs), including time stability and superconvergent functionals; however, unlike FEMs, SBP operators are not…

Numerical Analysis · Mathematics 2015-09-07 Jason E. Hicken , David C. Del Rey Fernández , David W. Zingg

Summation-by-parts (SBP) operators are finite-difference operators that mimic integration by parts. This property can be useful in constructing energy-stable discretizations of partial differential vequations. SBP operators are defined by a…

Numerical Analysis · Mathematics 2015-05-14 Jason E. Hicken , David W. Zingg

The construction of stable, conservative, and accurate volume dissipation is extended to discretizations that possess a generalized summation-by-parts (SBP) property within a tensor-product framework. The dissipation operators can be…

Numerical Analysis · Mathematics 2026-03-19 Alex Bercik , David A. Craig Penner , David W. Zingg

The paper presents high-order accurate, energy-, and entropy-stable discretizations constructed from summation-by-parts (SBP) operators. Notably, the discretizations assemble global SBP operators and use continuous solutions, unlike…

Numerical Analysis · Mathematics 2020-02-13 Jason E. Hicken

The construction of high order entropy stable collocation schemes on quadrilateral and hexahedral elements has relied on the use of Gauss-Legendre-Lobatto collocation points and their equivalence with summation-by-parts (SBP) finite…

Numerical Analysis · Mathematics 2019-08-06 Jesse Chan , David C. Del Rey Fernandez , Mark H. Carpenter

Overset grid methods handle complex geometries by overlapping simpler, geometry-fitted grids to cover the original, more complex domain. However, ensuring their stability -- particularly at high orders -- remains a practical and theoretical…

Numerical Analysis · Mathematics 2025-09-29 Jan Glaubitz , Joshua Lampert , Andrew R. Winters , Jan Nordström

A generalised analytical notion of summation-by-parts (SBP) methods is proposed, extending the concept of SBP operators in the correction procedure via reconstruction (CPR), a framework of high-order methods for conservation laws. For the…

Numerical Analysis · Mathematics 2017-04-26 Hendrik Ranocha , Philipp Öffner , Thomas Sonar

High-order difference operators with the summation-by-parts (SBP) property can be used to build stable discretizations of hyperbolic conservation laws; however, most high-order SBP operators require a conforming, high-order mesh for the…

Numerical Analysis · Mathematics 2025-01-29 Jason Hicken , Ge Yan , Sharanjeet Kaur

High-order entropy stable summation-by-parts (SBP) schemes are a class of robust and accurate numerical methods for hyperbolic conservation laws that are numerically stable at arbitrary order without the need for artificial stabilization.…

Numerical Analysis · Mathematics 2024-12-18 Christina G. Taylor , Jesse Chan

Summation-by-parts (SBP) operators allow us to systematically develop energy-stable and high-order accurate numerical methods for time-dependent differential equations. Until recently, the main idea behind existing SBP operators was that…

Numerical Analysis · Mathematics 2023-07-25 Jan Glaubitz , Simon-Christian Klein , Jan Nordström , Philipp Öffner

Summation-By-Parts (SBP) methods provide a systematic way of constructing provably stable numerical schemes. However, many proofs of convergence and accuracy rely on the assumption that the SBP operator possesses a particular eigenvalue…

Numerical Analysis · Mathematics 2022-01-05 Viktor Linders

High-order methods for conservation laws can be highly efficient if their stability is ensured. A suitable means mimicking estimates of the continuous level is provided by summation-by-parts (SBP) operators and the weak enforcement of…

Numerical Analysis · Mathematics 2019-10-22 Hendrik Ranocha

We analyze the stability and functional superconvergence of discretizations of diffusion problems with the narrow-stencil second-derivative generalized summation-by-parts (SBP) operators coupled with simultaneous approximation terms (SATs).…

Numerical Analysis · Mathematics 2021-12-21 Zelalem Arega Worku , David W. Zingg

Summation-by-parts (SBP) operators are popular building blocks for systematically developing stable and high-order accurate numerical methods for time-dependent differential equations. The main idea behind existing SBP operators is that the…

Numerical Analysis · Mathematics 2023-04-10 Jan Glaubitz , Jan Nordström , Philipp Öffner

This work focuses on multidimensional summation-by-parts (SBP) discretizations of linear elliptic operators with variable coefficients. We consider a general SBP discretization with dense simultaneous approximation terms (SATs), which serve…

Numerical Analysis · Mathematics 2016-12-28 Jianfeng Yan , Jared Crean , Jason E. Hicken

Many applications rely on solving time-dependent partial differential equations (PDEs) that include second derivatives. Summation-by-parts (SBP) operators are crucial for developing stable, high-order accurate numerical methodologies for…

Numerical Analysis · Mathematics 2024-03-04 Jan Glaubitz , Simon-Christian Klein , Jan Nordström , Philipp Öffner

Non-conforming numerical approximations offer increased flexibility for applications that require high resolution in a localized area of the computational domain or near complex geometries. Two key properties for non-conforming methods to…

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