eventThink Mathematically, Act Algorithmically: Optimization Techniques (PhD) (S)
person Paolo Mercorelli

Nächster Termin: Nächste Woche Mittwoch um 08:15 Uhr

Termine

wöchentlich | Mittwoch | 08:15 - 09:45 | 06.04.2026 - 10.07.2026 | C 40.106 Konrad-Zuse-Raum | C 40.106 Konrad-Zuse-Raum

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Organisatorisches

Seminar
Vollständig Präsenz
2
dezentrales Listenverfahren (mit Teilnehmerbegrenzung)
10

Anmeldung

Dezentrales Listenverfahren mit Teilnehmerbeschränkung

Die Anmeldung endete am 17.4.2026

Personen

Inhaltliches

Englisch
Think Mathematically, Act Algorithmically: Optimization Techniques (PhD)
keine

MATLAB is a platform for scientific calculation and high-level programming which uses an interactive environment that allows to conduct complex calculation tasks more efficiently than with traditional languages, such as C, C++ and FORTRAN. It is the one of the most popular platforms currently used in the sciences and engineering. Optimization techniques can be applied in a wide interdisciplinary range of applications in control, estimation and identification problems. Using Matlab, the course embraces the most important optimization techniques and methods which can be used in control systems. The proposed techniques, e.g. Model Predictive Control, Two Point Boundary Optimization Problem, etc. are implemented using Matlab/Simulink. Through discussions on the mathematical origin of the proposed techniques and methods and their inspiring ideas the students should reach, not only a good command on the software, but also a critical spirit to interpret the nature of the algorithms and to reflect on their foundations and structures.

The goal is to stimulate the reflection on the proposed methods and to offer an analytical and critical point of view in the field of the optimization also for students with less knowledge on this topic.

Starting from July, at the end of the course, further office hours and workshops are offered to assist students at any level to revise projects and to answer question related to the course or projects connected with the topic of this course

Evaluation

Die Lehrveranstaltung ist derzeit nicht zur Evaluation angemeldet.

Weitere Informationen zur Lehrevaluation: https://www.leuphana.de/lehre/qualitaetsmanagement/evaluation/lehrveranstaltungsevaluation.html

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