WORKSHOP: Participation of Graduate Students in a Workshop on PDE-Constrained Optimization, Santa Fe New Mexico, April 4-6, 2001

点击翻译按钮获取中文摘要

Optimal design, optimal control, and parameter estimation of systems governed by partial differen-tialequations give rise to a class of problems known as PDE-constrained optimization. The size andcomplexity of the discretized PDE constraints often pose significant challenges for contemporaryoptimization methods. Recent advances in algorithms, software, and high performance computingsystems have resulted in PDE simulations that can often scale to millions of variables, thousandsof processors, and multiple physics interactions. As PDE solvers mature, there is increasing in-dustrialand scientific interest in solving optimization problems governed by such large-scale PDEsimulations.To address the challenges of these problems the investigators have organized a workshop on PDE-constrainedoptimization on April 4-6,2001, in Santa Fe, NM. The goals of the workshop are to identify the needsand opportunities for PDE-constrained optimization in industry and the national labs, to assess the state of the art in PDE-constrained optimization, to identify barriers to PDE-constrained optimization presented bymodern simulation codes, and to discuss promising algorithmic and software approaches for overcoming these barriers.Sandia National Laboratories will sponsor the workshop itself. to expose a new generation of researchers to this rapidly growing area of research, the investigators will use this grant to support students attendingand participating in the workshop.