iNeP - integrierte Netzentwicklungsplanung für die Energieträger Strom, Gas und Wärme Vorwerk, Daniela; Schulz, Detlef; Micheely, Stefan; Koch, Oliver Henry; Cosler, Cristoph; Heise, Johannes; Mostafa, Marwan; Povel, Alexander; Töbermann, Christian Stand der Technik und Digitalisierung bei integrierten Energiesystemen, Sektorenkopplungs- und Mobilitätstechnologien. - Hamburg : HSU, 2021. - (Hamburger Beiträge zum technischen Klimaschutz ; Bd. 3). - Seite 47-56 (2021)
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This course gives an introduction to the topic of constraint satisfaction problems and their complexity. It will cover the basics of the theory such as the universal-algebraic approach to constraint satisfaction and several classical algorithms such as local consistency checking and the Bulatov-Dalmau algorithm. We will finally discuss the recent research directions in the field.Educational Objectives: After taking part successfully, students have reached the following learning results Professional Competence:- Knowledge:* Students can describe basic concepts from the theory of constraint satisfaction such as primitive positive formulas, interpretations, polymorphisms, clones* Students can discuss the connections between these concepts* Students know proofs strategies and can reproduce them- Skills:* Students can use CSPs to model problems fromcomplexity theory and decide their complexity using methods from the course.
Barthelme, J. (2022). Technisch-ökonomische Systemmodellierung und -anlayse eines urbanen Quatiers hinsichtlich des Einsatz von Wasserstoff als primärer Energieträger.