Search results for "h-refinement"

showing 2 items of 2 documents

Functional a posteriori error estimates for boundary element methods

2019

Functional error estimates are well-established tools for a posteriori error estimation and related adaptive mesh-refinement for the finite element method (FEM). The present work proposes a first functional error estimate for the boundary element method (BEM). One key feature is that the derived error estimates are independent of the BEM discretization and provide guaranteed lower and upper bounds for the unknown error. In particular, our analysis covers Galerkin BEM and the collocation method, what makes the approach of particular interest for scientific computations and engineering applications. Numerical experiments for the Laplace problem confirm the theoretical results.

osittaisdifferentiaaliyhtälötDiscretizationApplied MathematicsComputationNumerical analysisNumerical Analysis (math.NA)adaptive mesh-refinementFinite element methodMathematics::Numerical Analysisboundary element methodComputational MathematicsComputer Science::Computational Engineering Finance and ScienceCollocation methodMathematikFOS: MathematicsApplied mathematicsA priori and a posterioriMathematics - Numerical Analysisnumeerinen analyysivirheanalyysiGalerkin methodBoundary element methodfunctional a posteriori error estimate65N38 65N15 65N50MathematicsNumerische Mathematik
researchProduct

An adaptive rectangular mesh administration and refinement technique with application in cancer invasion models

2022

We present an administration technique for the bookkeeping of adaptive mesh refinement on (hyper-)rectangular meshes. Our technique is a unified approach for h-refinement on 1-, 2- and 3D domains, which is easy to use and avoids traversing the connectivity graph of the ancestry of mesh cells. Due to the employed rectangular mesh structure, the identification of the siblings and the neighbouring cells is greatly simplified. The administration technique is particularly designed for smooth meshes, where the smoothness is dynamically used in the matrix operations. It has a small memory footprint that makes it affordable for a wide range of mesh resolutions over a large class of problems. We pre…

Finite volume methodRC0254 Neoplasms. Tumors. Oncology (including Cancer)Applied MathematicsT-NDASCancer invasionNumerical Analysis (math.NA)Mesh administration510Adaptive mesh refinementRC0254Computational MathematicsSDG 3 - Good Health and Well-beingFOS: MathematicsMathematics - Numerical AnalysisQA Mathematicsh-refinementddc:510QA
researchProduct