Numerical Analysis for Elliptic Optimal Control Problems
暫譯: 橢圓最佳控制問題的數值分析

Dominik Meidner studied Mathematics with a minor in Computer Science at the Ruprecht-Karls-University Heidelberg, graduating with distinction in 2003. From 2003 to 2008, Dr. Meidner pursued his doctorate at the same university, completing his dissertation on adaptive space-time finite element methods for optimization problems governed by nonlinear parabolic systems with summa cum laude. Dr. Meidner began his career as a research assistant at the Ruprecht-Karls-University Heidelberg and moved to the Technical University of Munich (TUM) in 2008. Since 2019, he has been a Senior Lecturer (Akademischer Oberrat) at the Chair of Optimal Control at TUM. He has published numerous scientific papers and received several awards. Dr. Meidner is also involved in software development and has contributed to the finite element software "Gascoigne" and the C++ optimization library "RoDoBo."

Boris Vexler's research area is the numerical analysis of problems described by partial differential equations (PDEs) with a special focus on optimization problems with PDEs. He studied at Lomonosov University in Moscow and the University of Heidelberg. He obtained his doctorate at Heidelberg in 2004 and his lecturer qualification (Habilitation) at the University of Graz in 2008. After completing his doctorate, he worked at the RICAM Institute of the Austrian Academy of Sciences in Linz and, in 2008, was appointed professor for control theory at TUM. After rejecting calls to the universities of Vienna and Düsseldorf, Prof. Vexler was appointed to the Chair of Optimal Control at TUM in 2013. He served as speaker of the International Research Training Group IGDK 1754 from 2012 to 2022, and from 2015 to 2018, he was the dean of studies of the TUM Department of Mathematics.

多米尼克·梅德納（Dominik Meidner）於海德堡魯普雷希特-卡爾斯大學（Ruprecht-Karls-University Heidelberg）學習數學，並輔修計算機科學，於2003年以優異成績畢業。從2003年到2008年，梅德納博士在同一所大學攻讀博士學位，完成了關於適應性時空有限元素方法的論文，該方法用於由非線性拋物系統所主導的優化問題，並以優等生的成績（summa cum laude）畢業。梅德納博士的職業生涯始於海德堡魯普雷希特-卡爾斯大學的研究助理，並於2008年轉至慕尼黑工業大學（Technical University of Munich, TUM）。自2019年以來，他擔任TUM最優控制教席的高級講師（Akademischer Oberrat）。他發表了多篇科學論文並獲得多項獎項。梅德納博士還參與軟體開發，並對有限元素軟體「Gascoigne」和C++優化庫「RoDoBo」做出了貢獻。

鮑里斯·維克斯勒（Boris Vexler）的研究領域是數值分析，專注於由偏微分方程（PDEs）描述的問題，特別是與PDEs相關的優化問題。他曾在莫斯科的羅蒙諾索夫大學（Lomonosov University）和海德堡大學（University of Heidelberg）學習。2004年，他在海德堡獲得博士學位，並於2008年在格拉茨大學（University of Graz）獲得講師資格（Habilitation）。完成博士學位後，他在奧地利科學院的RICAM研究所工作，並於2008年被任命為慕尼黑工業大學的控制理論教授。在拒絕維也納和杜塞爾多夫大學的邀請後，維克斯勒教授於2013年被任命為TUM最優控制教席的教授。他於2012年至2022年擔任國際研究訓練小組IGDK 1754的發言人，並於2015年至2018年擔任TUM數學系的學術院長。