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Collaborative Research: Numerical Methods for Fully and Implicitly Nonlinear Equations

Collaborative Research: Numerical Methods for Fully and Implicitly Nonlinear Equations
合作研究:完全隐式非线性方程的数值方法
批准号:
0914021
负责人:
Danny Sorensen
金额:
$12.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-09-15 至 2012-08-31

项目摘要

项目成果

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中文摘要
翻译
该项目的主要目标是进一步研究全非线性椭圆方程的数值解,如monge - ampandrere ?5 .为了在NSF基金DMS-0412267的支持下扩展先前的工作。这些先前研究的主要发现是,在对数据进行正则化(这并不总是必要的)之后,在适当的希尔伯特空间中精心选择的最小二乘公式导致能够计算经典解的鲁棒解方法,或者如果经典解不存在则可以计算广义解。本项目的目标是:(i)改进用于解决最小二乘问题的迭代方法的性能。这将需要开发新的算法来解决从最小二乘问题分解中获得的许多(每个网格点一个)低维非线性特征值问题,因为这会导致许多小而复杂的约束特征值问题。(ii)为了证明这些新算法在各种测试问题上的有效性(monge - ampantere, Pucci,高斯曲率,sigma-2,在Pucci问题的2维,3维,甚至4维,使用并行化)。(iii)确定当算子中的系数在空间中周期性或随机变化时,在二维中观察到的一些完全非线性椭圆方程的显著均匀性是否在高维中持续存在。(iv)最终将上述方法(或其近似的变体)应用于求解一些来自模拟折叠现象的非光滑微分几何的隐式非线性偏微分方程。激发这些研究的是这样一个事实,即完全非线性椭圆方程在材料科学、非线性弹性、流体力学、大气科学、非线性弹性、电气和结构工程(天线、汽车形状)中的形状设计、金融、应用和理论物理、微分几何等领域发挥着重要作用。相关的数学问题已经产生了大量的文献。相反,从计算的角度来看,这些问题很难解释为什么计算和应用数学家在数值解上没有取得重大进展。该项目的目标之一是缩小与全非线性椭圆方程有关的各个社区之间的差距,以便每个社区都能相互学习,树立跨学科科学的榜样。通过出版物、专门的网站和研究生课程、会议演讲,当然还有一些研究生的直接参与,这样的努力也将使科学和工程专业人员和学生受益。它还将激励其他科学家对这些重要领域作出贡献。由于先前由主要研究者及其同事开发的计算方法目前用于科学和工程,学术界和工业的许多领域,人们可以期待来自该合作项目的结果和产品的类似努力。
英文摘要
The main goal of this project is to further investigate the numerical solution of fully nonlinear elliptic equations such as Monge-Ampère?s, in order to extend previous work done with the support of NSF Grant DMS-0412267. The main findings of these previous investigations are that, after regularization of the data (which is not always necessary), well-chosen least-squares formulations in appropriate Hilbert spaces lead to robust solution methods able to compute classical solutions, or generalized ones if classical solutions do not exist. The objectives of the present project are: (i) To improve the performances of the iterative methods used to solve the least-squares problems. This will require the development of novel algorithms to solve the many (one per grid point) low dimensional nonlinear eigenvalue problems obtained from the decomposition of the least squares problems, since this results in a number of small but intricate constrained eigenvalue problems. (ii) To demonstrate the effectiveness of these new algorithms on a variety of test problems (Monge-Ampère, Pucci, Gaussian curvature, sigma-2, in dimension 2, 3, and even 4 for the Pucci problem, using parallelization). (iii) To determine whether the remarkable homogenization properties observed in two-dimensions for some of these fully nonlinear elliptic equations when a coefficient in the operator varies periodically or randomly in space persist in higher dimensions. (iv) To apply, ultimately, the above methodology (or close variant of it) to the solution of some implicitly nonlinear partial differential equations from non-smooth differential geometry that model folding phenomena. What motivates these investigations is the fact that fully nonlinear elliptic equations play an important role in areas as diverse as material sciences, nonlinear elasticity, fluid mechanics, atmospheric sciences, nonlinear elasticity, shape design in electrical and structural engineering (antennas, car shape,?), finance, applied and theoretical physics, differential geometry and others. The related mathematical problems have generated a large literature. In contrast these problems have the reputation to be difficult from a computational standpoint explaining why the computational and applied mathematicians have not made significant progress on their numerical solution. One of the goals of this project is to close the gap between the various communities concerned with fully nonlinear elliptic equations so that each of them will learn from the others, setting an example of interdisciplinary science. Such an effort will also benefit science and engineering professionals and students, via publications, dedicated web sites and post-graduate courses, lectures at conferences, and of course direct involvement for some graduate students. It will also stimulate the contributions of other scientists to these important areas. Since computational methods developed previously by the Principal Investigators and their associates are currently used in many areas of Science and Engineering, Academia and Industry, one can expect a similar endeavor for the results and products originating from this collaborative project.
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  • 批准号:
    1320866
  • 项目类别:
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  • 财政年份:
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  • 资助金额:
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