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06.03.2013 | Zur Abstimmung eines Termins für die Nachholklausur bitte zusätzlich zur Anmeldung über TUMOnline eine (unverbindliche) Anmeldung per e-mail an neitzel@ma.tum.de senden |
24.01.2014 | Klausurtermin ist der 24.2.2014, 10:00 Uhr, Raum 03.08.011 Dauer: 60 min. Einziges zugelassenes Hilfsmittel ist ein handbeschriebenes A4-Blatt |
Contents | |
The description of the module (5513) can be found here. We will discuss questions arising in the numerical analysis of optimal control problems subject to (linear and possibly semilinear) elliptic partial differential equations and additional inequality constraints on the control and/or the state. Our main focus is on deriving a priori error estimates for the finite element discretization of such problems. Depending on the participants' background in partial differential equations, optimal control theory, and numerical analysis of PDEs, we will develop the theoretical background such as existence and regularity of optimal solutions, necessary and sufficient optimality conditions, and in the case of pointwise state constraints also regularization strategies. We will discuss different discretization strategies and derive rates of convergence for the discrete optimal controls. In addition to the theoretical part (consisting of a combined lecture/exercise class) there will be practical programming exercises in Matlab. | |
Schedule | |
Lectures and theoretical exercises | Thursday, 14:00-15:30, Room 03.08.011 Friday, 10:15-11:45, Room 03.08.011 (16:00-17:30 in 02.08.011 on Oct. 18)) |
Programming Exercises | Thursday, 16:00-17:30, Room 02.08.011, second slot t.b.a. |
Organizational Questions | |
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Exam | |
Klausurtermin ist der 24.2.2014, 10:00 Uhr, Raum 03.08.011 Dauer: 60 min. Einziges zugelassenes Hilfsmittel ist ein handbeschriebenes A4-Blatt | |
Literature | |
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Matlab | |
MATLAB is a commercial mathematical scripting language. Information regarding the "TUM-Mathworks Rahmenvertag" can be found here: http://www.in.tum.de/rbg/beschaffung/rahmenvertraege/matlab.html A short Matlab/Octave tutorial (in German) by Dr. Boris von Loesch is available here. |