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相关论文: Goal-Oriented Adaptive THB-Spline Schemes for PDE-…

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In this article we develop an $hp$-adaptive refinement procedure for Trefftz discontinuous Galerkin methods applied to the homogeneous Helmholtz problem. Our approach combines not only mesh subdivision (h-refinement) and local basis…

数值分析 · 数学 2017-11-01 Scott Congreve , Paul Houston , Ilaria Perugia

Isogeometric Analysis is a variant of the finite element method, where spline functions are used for the representation of both the geometry and the solution. Splines, particularly those with higher degree, achieve their full approximation…

数值分析 · 数学 2025-10-10 Stefan Takacs , Stefan Tyoler

We present an efficient approach of Finite Element Method (FEM)-based nonrigid image registration, in which the spatial transformation is constructed using truncated hierarchical B-splines (THB-splines). The image registration framework…

In this paper we propose a local projector for truncated hierarchical B-splines (THB-splines). The local THB-spline projector is an adaptation of the B\'ezier projector proposed by Thomas et al. (Comput Methods Appl Mech Eng 284, 2015) for…

数值分析 · 数学 2025-01-17 Kevin Dijkstra , Deepesh Toshniwal

We present a new refinement strategy for locally refined B-splines which ensures the local linear independence of the basis functions. The strategy also guarantees the spanning of the full spline space on the underlying locally refined…

数值分析 · 数学 2022-03-28 Francesco Patrizi

We consider the iterative reconstruction of both the internal geometry and the values of an inhomogeneous acoustic refraction index through a piecewise constant approximation. In this context, we propose two enhancements intended to reduce…

数值分析 · 数学 2015-06-15 Yann Grisel , Jean-Pierre Raymond , Pierre-Alain Mazet , Vincent Mouysset

We introduce an adaptive finite element scheme for the efficient approximation of a (large) collection of eigenpairs of selfadjoint elliptic operators in which the adaptive refinement is driven by the solution of a single source problem --…

数值分析 · 数学 2025-06-03 Stefano Giani , Jeffrey Ovall , Gabriel Pinochet-Soto

The local refinement of PHT-splines (polynomial splines over hierarchical T-meshes) is achieved by a simple cross insertion, which may introduce superfluous control points or coefficients. By allowing split-in-half in mesh refinement,…

数值分析 · 数学 2019-04-18 Qian Ni , Xuhui Wang , Jiansong Deng

Local refinement is vital for efficient numerical simulations. In the context of Isogeometric Analysis (IGA), hierarchical B-splines have gained prominence. The work applies the methodology of truncated hierarchical B-splines (THB-splines)…

计算工程、金融与科学 · 计算机科学 2025-01-22 Andreas Grendas , Michael Wiesheu , Sebastian Schöps , Benjamin Marussig

In this work, we develop adaptive schemes using goal-oriented error control for a highly nonlinear flow temperature model with temperature dependent density. The dual-weighted residual method for computing error indicators to steer mesh…

数值分析 · 数学 2024-04-03 Sven Beuchler , Ayhan Demircan , Bernhard Endtmayer , Uwe Morgner , Thomas Wick

The geometric constraints of Zhou et al. (2015) are a widely used technique in topology/freeform optimization to impose minimum lengthscales for manufacturability. However, its efficacy degrades as design binarization is increased, and it…

光学 · 物理学 2025-07-23 Rodrigo Arrieta , Giuseppe Romano , Steven G. Johnson

In this article, a new unified duality theory is developed for Petrov-Galerkin finite element methods. This novel theory is then used to motivate goal-oriented adaptive mesh refinement strategies for use with discontinuous Petrov-Galerkin…

数值分析 · 数学 2019-12-24 Brendan Keith , Ali Vaziri Astaneh , Leszek Demkowicz

Reachable Minimally supported (RM) B-splines have been recently introduced as a novel B-spline--like basis. They feature local linear independence and admit a fast de Boor--like evaluation algorithm. These properties make them particularly…

数值分析 · 数学 2025-12-01 Francesco Patrizi

Based on the continuous interpretation of deep learning cast as an optimal control problem, this paper investigates the benefits of employing B-spline basis functions to parameterize neural network controls across the layers. Rather than…

机器学习 · 计算机科学 2021-03-02 Stefanie Günther , Will Pazner , Dongping Qi

In this work, we further develop multigoal-oriented a posteriori error estimation with two objectives in mind. First, we formulate goal-oriented mesh adaptivity for multiple functionals of interest for nonlinear problems in which both the…

数值分析 · 数学 2018-04-05 B. Endtmayer , U. Langer , T. Wick

Tube-like surfaces are widely encountered in geometry processing, engineering structures, and medical anatomy, yet their intrinsic longitudinal and circumferential topology is not well preserved by conventional planar annular or rectangular…

图形学 · 计算机科学 2026-05-19 Shunyu Yao , Gary P. T. Choi

In this paper, we study numerically the linear damped second-order hyperbolic partial differential equation (PDE) with affine parameter dependence using a goal-oriented approach by finite element (FE) and reduced basis (RB) methods. The…

计算物理 · 物理学 2013-09-17 Khac Chi Hoang , Pierre Kerfriden , Stephane P. A. Bordas

A posteriori error estimates are derived in the context of two-dimensional structural elastic shape optimization under the compliance objective. It is known that the optimal shape features are microstructures that can be constructed using…

数值分析 · 数学 2015-01-30 Benedict Geihe , Martin Rumpf

Stiffener layout optimization of complex surfaces is fulfilled within the framework of topology optimization. A combined parameterization method is developed in two aspects. One is to parameterize the material distribution of the stiffener…

计算工程、金融与科学 · 计算机科学 2022-01-26 Weihong Zhang , Shengqi Feng

This paper presents an enhanced version of our previous work, hybrid non-uniform subdivision surfaces [19], to achieve optimal convergence rates in isogeometric analysis. We introduce a parameter $\lambda$ ($\frac{1}{4}<\lambda<1$) to…

数值分析 · 数学 2020-03-30 Xiaodong Wei , Xin Li , Yongjie Jessica Zhang , Thomas J. R. Hughes