A Solution-Structure B-Spline-Based Framework for Hybrid Boundary Problems on Implicit Domains

Solving partial differential equations (PDEs) on complex domains with hybrid boundary conditions presents significant challenges in numerical analysis. In this paper, we introduce a solution-structure-based framework that transforms non-homogeneous hybrid boundary problems into homogeneous ones, allowing exact conformity to the boundary conditions. By leveraging B-splines within the R-function method structure and adopting the stability principles of the WEB method, we construct a well-conditioned basis for numerical analysis. The framework is validated through a number of numerical examples of Poisson equations with hybrid boundary conditions on different implicit domains in two and three dimensions. The results reflect that the approach can achieve the optimal approximation order in solving hybrid problems.

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Publication Details

Journal
Mathematics
Published
2024-12-18
DOI
https://doi.org/10.3390/math12243973
Citations
3
Primary Topic
Advanced Numerical Analysis Techniques
Type
article
Field-Weighted Citation Impact
1.12

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article

A Solution-Structure B-Spline-Based Framework for Hybrid Boundary Problems on Implicit Domains

Tianhui Yang, Ammar Qarariyah, Fang Deng
3 citations
Mathematics
Advanced Numerical Analysis Techniques
1.12
article

A Solution-Structure B-Spline-Based Framework for Hybrid Boundary Problems on Implicit Domains

Tianhui Yang, Ammar Qarariyah, Fang Deng
article en
3 citations

Abstract

Solving partial differential equations (PDEs) on complex domains with hybrid boundary conditions presents significant challenges in numerical analysis. In this paper, we introduce a solution-structure-based framework that transforms non-homogeneous hybrid boundary problems into homogeneous ones, allowing exact conformity to the boundary conditions. By leveraging B-splines within the R-function method structure and adopting the stability principles of the WEB method, we construct a well-conditioned basis for numerical analysis. The framework is validated through a number of numerical examples of Poisson equations with hybrid boundary conditions on different implicit domains in two and three dimensions. The results reflect that the approach can achieve the optimal approximation order in solving hybrid problems.

MathematicsVol. 12(24)
Bethlehem University (PS), North China University of Water Resources and Electric Power (CN), Xi’an University of Posts and Telecommunications (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province
Openalex Percentile: Top 24%
Advanced Numerical Analysis Techniques
1.12
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