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Rate Optimality of Adaptive Finite Elements for Parabolic Partial Differential Equations

抛物型偏微分方程自适应有限元的速率最优性

基本信息

批准号：
273218570
负责人：
Professor Dr. Kunibert G. Siebert
金额：
--
依托单位：
Institut für Angewandte Analysis und Numerische Simulation (IANS)
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2015
资助国家：
德国
起止时间：
2014-12-31 至 2018-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/273218570?language=en
关键词：
Rate Optimality Adaptive Finite Elements

项目摘要

In this project we want to analyze finite element methods for parabolic partial differential equations (pPDEs) with main focus on adaptive discretizations.Many processes in natural science and engineering are modeled by pPDEs. Numerical analysis for this problem class is a very active research area at the forefront of numerical mathematics. For many real life problems computations based on uniform methods are by far too time con- suming. The efficient numerical simulation of transient problems necessitates adaptive methods with optimal complexity.Our experience shows that adaptive finite elements for elliptic partial differential equations (ePDEs) have gained substantial maturity. Their use in numerous practical applications reveals a very robust performance. Moreover, proofs of convergence and optimal decay rates in terms of degrees of freedom (DOFs) are available. These proofs are based on a very precise mathematical understanding of the adaptive method as a whole.It is a todays vision to have access to similar robust and efficient adaptive methods for pPDEs. The design of adaptive simulation environments for real life applications would tremendously profit from a better understanding and a better mathematical foundation of adaptive finite elements for pPDEs. However, the analysis of such methods as a whole is yet, from our point of view, in its infancy. We have a single convergence result for the heat equation; a proof of an optimal performance is missing completely.The proposed research project therefore focuses on the design and analysis of rate optimal adaptive finite element methods for pPDEs. This important and challenging topic requires a substantial amount of investigations concerning fundamental properties of appropriate finite element discretizations. We will investigate adaptive approximation classes and decay rates of adaptively generated sequences of discrete solutions. The latter may require new mesh and time-step adaptation schemes.With the proposed research we will substantially foster the development and numerical analy- sis of optimal adaptive methods for pPDEs suitable for real-life applications on high performance computers. In addition, the investigations will contribute to a better understanding needed for the optimality analysis of adaptive methods for strongly non-symmetric problems.

在这个项目中，我们想分析抛物型偏微分方程（pPDEs）的有限元方法，主要关注自适应离散化。自然科学和工程中的许多过程都是用ppde建模的。这类问题的数值分析是数值数学前沿的一个非常活跃的研究领域。对于许多现实生活中的问题，基于统一方法的计算是非常耗时的。对瞬态问题进行有效的数值模拟需要具有最优复杂度的自适应方法。我们的经验表明，椭圆型偏微分方程（ePDEs）的自适应有限元已经相当成熟。它们在许多实际应用中的使用显示出非常强大的性能。此外，收敛性和最优衰减率在自由度（dof）方面的证明是可用的。这些证明是基于对整个自适应方法的非常精确的数学理解。为ppde提供类似的健壮和有效的自适应方法是当今的愿景。对ppde的自适应有限元的更好理解和更好的数学基础将极大地有利于为现实生活应用设计自适应仿真环境。然而，从我们的观点来看，对这些方法的整体分析还处于起步阶段。对于热方程我们有一个单一的收敛结果；最优性能的证明是完全缺失的。因此，提出的研究项目侧重于pPDEs速率最优自适应有限元方法的设计和分析。这一重要而具有挑战性的课题需要对适当的有限元离散化的基本性质进行大量的研究。我们将研究自适应逼近类和自适应生成的离散解序列的衰减率。后者可能需要新的网格和时间步适应方案。通过提出的研究，我们将大力促进ppde的最佳自适应方法的开发和数值分析，适合在高性能计算机上的实际应用。此外，这些研究将有助于更好地理解强非对称问题的自适应方法的最优性分析。