Semismooth Newton Methods for Variational Inequalities and Constrained Optimization Problems in Function Spaces

M. Ulbrich
{"title":"Semismooth Newton Methods for Variational Inequalities and Constrained Optimization Problems in Function Spaces","authors":"M. Ulbrich","doi":"10.1137/1.9781611970692","DOIUrl":null,"url":null,"abstract":"Semismooth Newton methods are a modern class of remarkably powerful and versatile algorithms for solving constrained optimization problems with partial differential equations (PDEs), variational inequalities, and related problems. This book provides a comprehensive presentation of these methods in function spaces, striking a balance between thoroughly developed theory and numerical applications. Although largely self-contained, the book also covers recent developments in the field, such as state-constrained problems and offers new material on topics such as improved mesh independence results. The theory and methods are applied to a range of practically important problems, including optimal control of semilinear elliptic differential equations, obstacle problems, and flow control of instationary Navier-Stokes fluids. In addition, the author covers adjoint-based derivative computation and the efficient solution of Newton systems by multigrid and preconditioned iterative methods. Audience: This book is appropriate for researchers and practitioners in PDE-constrained optimization, nonlinear optimization, and numerical analysis, as well as engineers interested in the current theory and methods for solving variational inequalities. It is also suitable as a text for an advanced graduate-level course in the aforementioned topics or applied functional analysis. Contents: Notation; Preface; Chapter One: Introduction; Chapter Two: Elements of Finite-Dimensional Nonsmooth Analysis; Chapter Three: Newton Methods for Semismooth Operator Equations; Chapter Four: Smoothing Steps and Regularity Conditions; Chapter Five: Variational Inequalities and Mixed Problems; Chapter Six: Mesh Independence; Chapter Seven: Trust-Region Globalization; Chapter Eight: State-Constrained and Related Problems; Chapter Nine: Several Applications; Chapter Ten: Optimal Control of Incompressible Navier-Stokes Flow; Chapter Eleven: Optimal Control of Compressible Navier-Stokes Flow; Appendix; Bibliography; Index.","PeriodicalId":215971,"journal":{"name":"MOS-SIAM Series on Optimization","volume":"147 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"323","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"MOS-SIAM Series on Optimization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1137/1.9781611970692","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 323

Abstract

Semismooth Newton methods are a modern class of remarkably powerful and versatile algorithms for solving constrained optimization problems with partial differential equations (PDEs), variational inequalities, and related problems. This book provides a comprehensive presentation of these methods in function spaces, striking a balance between thoroughly developed theory and numerical applications. Although largely self-contained, the book also covers recent developments in the field, such as state-constrained problems and offers new material on topics such as improved mesh independence results. The theory and methods are applied to a range of practically important problems, including optimal control of semilinear elliptic differential equations, obstacle problems, and flow control of instationary Navier-Stokes fluids. In addition, the author covers adjoint-based derivative computation and the efficient solution of Newton systems by multigrid and preconditioned iterative methods. Audience: This book is appropriate for researchers and practitioners in PDE-constrained optimization, nonlinear optimization, and numerical analysis, as well as engineers interested in the current theory and methods for solving variational inequalities. It is also suitable as a text for an advanced graduate-level course in the aforementioned topics or applied functional analysis. Contents: Notation; Preface; Chapter One: Introduction; Chapter Two: Elements of Finite-Dimensional Nonsmooth Analysis; Chapter Three: Newton Methods for Semismooth Operator Equations; Chapter Four: Smoothing Steps and Regularity Conditions; Chapter Five: Variational Inequalities and Mixed Problems; Chapter Six: Mesh Independence; Chapter Seven: Trust-Region Globalization; Chapter Eight: State-Constrained and Related Problems; Chapter Nine: Several Applications; Chapter Ten: Optimal Control of Incompressible Navier-Stokes Flow; Chapter Eleven: Optimal Control of Compressible Navier-Stokes Flow; Appendix; Bibliography; Index.
函数空间中变分不等式和约束优化问题的半光滑牛顿方法
半光滑牛顿方法是一类非常强大和通用的现代算法,用于解决带有偏微分方程(PDEs)、变分不等式和相关问题的约束优化问题。这本书提供了一个全面的介绍这些方法在函数空间,彻底发展理论和数值应用之间的平衡。虽然在很大程度上是独立的,这本书还涵盖了该领域的最新发展,例如状态约束问题,并提供了关于诸如改进网格独立性结果等主题的新材料。该理论和方法被应用于一系列实际重要问题,包括半线性椭圆微分方程的最优控制、障碍问题和固定Navier-Stokes流体的流动控制。此外,作者还介绍了基于伴随导数的计算以及多重网格法和预条件迭代法对牛顿系统的有效求解。读者:本书适合于pde约束优化、非线性优化和数值分析方面的研究人员和实践者,以及对解决变分不等式的当前理论和方法感兴趣的工程师。它也适合作为上述主题或应用功能分析的高级研究生课程的文本。内容:符号;前言;第一章:绪论;第二章:有限维非光滑分析的基本要素;第三章:半光滑算子方程的牛顿法;第四章:平滑步骤和正则性条件;第五章:变分不等式与混合问题;第六章:网格独立性;第七章:信任—区域全球化;第八章:国家约束及相关问题;第九章:几种应用;第十章:不可压缩Navier-Stokes流的最优控制;第十一章:可压缩Navier-Stokes流的最优控制;附录;参考书目;索引。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信