A novel FFT-accelerated iterative method minimizes a relaxed Ginzburg-Landau energy on an extended domain to generate high-quality quadrilateral meshes with guaranteed convergence.
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2026 2verdicts
UNVERDICTED 2representative citing papers
ITD combines a signed-distance geometry representation, a body-fitted function Φ for exact Dirichlet conditions, and Tucker decomposition within C-HiDeNN-TD to enable separable reduced-order modeling on Cartesian background meshes.
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An efficient and stable diffusion generated method for quadrilateral mesh generation in general domains
A novel FFT-accelerated iterative method minimizes a relaxed Ginzburg-Landau energy on an extended domain to generate high-quality quadrilateral meshes with guaranteed convergence.
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Geometry-Preserving Reduced-Order Modeling via Immersed Tensor Decomposition (ITD)
ITD combines a signed-distance geometry representation, a body-fitted function Φ for exact Dirichlet conditions, and Tucker decomposition within C-HiDeNN-TD to enable separable reduced-order modeling on Cartesian background meshes.