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Sommer - Sonne - Dîner au KIT: So schön war´s
Sommer - Sonne - Dîner au KIT: So schön war´s
Tatjana Schwarzbeck
Neues Ressort im Präsidium: Forschung, Lehre und akademische Angelegenheiten
Neues Ressort im Präsidium: Forschung, Lehre und akademische Angelegenheiten
Leonie Kroll, Adrian Yass, Anja Sefrin
Ein großes Dankeschön - Tag der offenen Tür 2025
Ein großes Dankeschön - Tag der offenen Tür 2025
Tatjana Schwarzbeck
Tutorial - Umgang mit dem Präsentationstemplate und der Musterfolienbibliothek
Tutorial - Umgang mit dem Präsentationstemplate und der Musterfolienbibliothek
Tutorial - Arbeiten mit dem KIT-Standardfoliensatz
Tutorial - Arbeiten mit dem KIT-Standardfoliensatz
bwGPT Update September 24
bwGPT Update September 24
Sarah Holstein
Jan S. Hesthaven ist neuer Präsident des KIT
Jan S. Hesthaven ist neuer Präsident des KIT
Jan S. Hesthaven, Adrian Yass, Tatjana Schwarzbeck, Margarete Lehné, Maximilian Ferber
bwGPT Update September 24
bwGPT Update September 24
Sarah Holstein
Stefan Schwartze ist neuer Vizepräsident Finanzen, Personal und Infrastruktur
Stefan Schwartze ist neuer Vizepräsident Finanzen, Personal und Infrastruktur
Adrian Yass, Stefan Schwartze
Webinar: Digitale Prüfungen am KIT - On Campus und Remote Szenarien
Webinar: Digitale Prüfungen am KIT - On Campus und Remote Szenarien
Judith Borel, Thomas May
Archiv: ZAK Imagefilm von 2004
Archiv: ZAK Imagefilm von 2004
ZAK | Zentrum für Angewandte Kulturwissenschaft und Studium Generale
Ein Jahr KIT 2.0: Angekommen im Alltag
Ein Jahr KIT 2.0: Angekommen im Alltag
Adrian Yass, Isabelle Hartmann-Dietsch
Das neue Intranet: Funktionalitäten für Studierende
Das neue Intranet: Funktionalitäten für Studierende
Adrian Yass
Das neue Intranet: Funktionalitäten für Beschäftigte
Das neue Intranet: Funktionalitäten für Beschäftigte
Adrian Yass
KIT Intranet-Relaunch: Der Newsfeed kommt
KIT Intranet-Relaunch: Der Newsfeed kommt
Adrian Yass
Geräteanleitungen DLL
Geräteanleitungen DLL
Reinicke, Miriam
4 Schritte zum ersten 3D-Druck
4 Schritte zum ersten 3D-Druck
Anneke Stein, Clara Adler
Wir sind gut organisiert
Wir sind gut organisiert
Adrian Yass, Tatjana Schwarzbeck
Arbeiten mit dem Greenscreen
Arbeiten mit dem Greenscreen
Ina Li, Benhilde Toko
Ein Podcast über Podcasts - erstellt im DLL
Ein Podcast über Podcasts - erstellt im DLL
Anneke Stein, Clara Adler
Teilchenphysik und Energiewende (Prof. Dr. Bernhard Holzapfel)
Teilchenphysik und Energiewende (Prof. Dr. Bernhard Holzapfel)
Nature-inspired optimization methods SS 2023, Teil 16
Nature-inspired optimization methods SS 2023, Teil 16
Pradyumn Shukla
Nature-inspired optimization methods SS 2023, Teil 15
Nature-inspired optimization methods SS 2023, Teil 15
Pradyumn Shukla
Nature-inspired optimization methods SS 2023, Teil 14
Nature-inspired optimization methods SS 2023, Teil 14
Pradyumn Shukla
Nature-inspired optimization methods SS 2023
Nature-inspired optimization methods SS 2023
Pradyumn Shukla
Nature-inspired optimization methods SS 2023, Teil 13
Nature-inspired optimization methods SS 2023, Teil 13
Pradyumn Shukla
Nature-inspired optimization methods SS 2023, Teil 12
Nature-inspired optimization methods SS 2023, Teil 12
Pradyumn Shukla
Nature-inspired optimization methods SS 2023, Teil 11
Nature-inspired optimization methods SS 2023, Teil 11
Pradyumn Shukla
Nature-inspired optimization methods SS 2023, Teil 10
Nature-inspired optimization methods SS 2023, Teil 10
Pradyumn Shukla
Nature-inspired optimization methods SS 2023, Teil 9
Nature-inspired optimization methods SS 2023, Teil 9
Pradyumn Shukla
Nature-inspired optimization methods SS 2023, Teil 8
Nature-inspired optimization methods SS 2023, Teil 8
Pradyumn Shukla
Nature-inspired optimization methods SS 2023, Teil 7
Nature-inspired optimization methods SS 2023, Teil 7
Pradyumn Shukla
Nature-inspired optimization methods SS 2023, Teil 6
Nature-inspired optimization methods SS 2023, Teil 6
Pradyumn Shukla
Nature-inspired optimization methods SS 2023, Teil 1
Nature-inspired optimization methods SS 2023, Teil 1
Pradyumn Shukla
Nature-inspired optimization methods SS 2023, Teil 2
Nature-inspired optimization methods SS 2023, Teil 2
Pradyumn Shukla
Nature-inspired optimization methods SS 2023, Teil 5
Nature-inspired optimization methods SS 2023, Teil 5
Pradyumn Shukla
Nature-inspired optimization methods SS 2023, Teil 4
Nature-inspired optimization methods SS 2023, Teil 4
Pradyumn Shukla
Nature-inspired optimization methods SS 2023, Teil 3
Nature-inspired optimization methods SS 2023, Teil 3
Pradyumn Shukla
Einführungsvideo Sony ZV-E10 Koffer 01
Einführungsvideo Sony ZV-E10 Koffer 01
Hendrik Löhr
Einführungsvideo Arbeiten mit der Sony ZV-E10
Einführungsvideo Arbeiten mit der Sony ZV-E10
Hendrik Löhr
Einführungsvideo DaVinci Resolve Schnitt
Einführungsvideo DaVinci Resolve Schnitt
Hendrik Löhr
Einführungsvideo DaVinci Resolve Dateimanagement
Einführungsvideo DaVinci Resolve Dateimanagement
Hendrik Löhr
Einführungsvideo Sony ZV-E10 Koffer 02
Einführungsvideo Sony ZV-E10 Koffer 02
Hock, Alexander
Schnelleinstieg digiMINT und DLL
Schnelleinstieg digiMINT und DLL
Hock, Alexander
Einführungsvideo OBS BOT ME
Einführungsvideo OBS BOT ME
Hock, Alexander
Einführungsvideo QooCam
Einführungsvideo QooCam
Hock, Alexander
Einführungsvideo Rode Wireless Go
Einführungsvideo Rode Wireless Go
Hock, Alexander
Einführungsvideo Smooth 5
Einführungsvideo Smooth 5
Hock, Alexander
Einführungsvideo OBSBot 4K
Einführungsvideo OBSBot 4K
Hock, Alexander
Einführungsvideo Insta360 One RS 1-Inch
Einführungsvideo Insta360 One RS 1-Inch
Hock, Alexander
Einführungsvideo USB-Podcastmikrofon
Einführungsvideo USB-Podcastmikrofon
Hock, Alexander
Interview Start KIT 2.0 Holger Hanselka
Interview Start KIT 2.0 Holger Hanselka
Isabelle Hartmann-Dietsch
Videointerview mit Herrn Hanselka zum Start KIT 2.0
Videointerview mit Herrn Hanselka zum Start KIT 2.0
Isabelle Hartmann-Dietsch
Computational Economics WS 2022/23
Computational Economics WS 2022/23
Pradyumn Shukla
Computational Economics WS 2022/23, Teil 12
Computational Economics WS 2022/23, Teil 12
Pradyumn Shukla
Computational Economics WS 2022/23, Teil 8
Computational Economics WS 2022/23, Teil 8
Pradyumn Shukla
Computational Economics WS 2022/23, Teil 7
Computational Economics WS 2022/23, Teil 7
Pradyumn Shukla
Computational Economics WS 2022/23, Teil 5
Computational Economics WS 2022/23, Teil 5
Pradyumn Shukla
Computational Economics WS 2022/23, Teil 4
Computational Economics WS 2022/23, Teil 4
Pradyumn Shukla
Computational Economics WS 2022/23, Teil 10
Computational Economics WS 2022/23, Teil 10
Pradyumn Shukla
Computational Economics WS 2022/23, Teil 9
Computational Economics WS 2022/23, Teil 9
Pradyumn Shukla
Computational Economics WS 2022/23, Teil 6
Computational Economics WS 2022/23, Teil 6
Pradyumn Shukla
Computational Economics WS 2022/23, Teil 3
Computational Economics WS 2022/23, Teil 3
Pradyumn Shukla
Computational Economics WS 2022/23, Teil 2
Computational Economics WS 2022/23, Teil 2
Pradyumn Shukla
Computational Economics WS 2022/23, Teil 11
Computational Economics WS 2022/23, Teil 11
Pradyumn Shukla
Computational Economics WS 2022/23, Teil 1
Computational Economics WS 2022/23, Teil 1
Pradyumn Shukla
New Work - Erfahrungen der Piloten
New Work - Erfahrungen der Piloten
Isabelle Hartmann-Dietsch, Monika Landgraf
New Work - Erfahrungen der Piloten - Pilotprojekt von INTL
New Work - Erfahrungen der Piloten - Pilotprojekt von INTL
Isabelle Hartmann-Dietsch, Monika Landgraf
New Work - Erfahrungen der Piloten - Pilotprojekt von IPEK
New Work - Erfahrungen der Piloten - Pilotprojekt von IPEK
Isabelle Hartmann-Dietsch, Monika Landgraf
New Work - Erfahrungen der Piloten - Pilotprojekt SCC
New Work - Erfahrungen der Piloten - Pilotprojekt SCC
Isabelle Hartmann-Dietsch, Monika Landgraf
New Work - Erfahrungen der Piloten - PIlotprojekt von IAI
New Work - Erfahrungen der Piloten - PIlotprojekt von IAI
Isabelle Hartmann-Dietsch, Monika Landgraf
New Work - Erfahrungen der Piloten - Pilotprojekt AIFB
New Work - Erfahrungen der Piloten - Pilotprojekt AIFB
Isabelle Hartmann-Dietsch, Monika Landgraf
Strategieprozess KIT 2025
Strategieprozess KIT 2025
Joachim Hoffmann
Mixed-Integer Optimization II, Section 3.8.3 (Feasibility pump), Section 3.8.4 (Metaheuristics)
Mixed-Integer Optimization II, Section 3.8.3 (Feasibility pump), Section 3.8.4 (Metaheuristics)
Oliver Stein
Mixed-Integer Optimization II, Section 3.7.3 (Pricing)
Mixed-Integer Optimization II, Section 3.7.3 (Pricing)
Oliver Stein
Mixed-Integer Optimization II, Section 3.7.1 (Dantzig-Wolfe decomposition, motivation and construction)
Mixed-Integer Optimization II, Section 3.7.1 (Dantzig-Wolfe decomposition, motivation and construction)
Oliver Stein
Mixed-Integer Optimization II, Section 3.6.4 (A subgradient method)
Mixed-Integer Optimization II, Section 3.6.4 (A subgradient method)
Oliver Stein
Mixed-Integer Optimization II, Section 3.4 (Generalized Benders decomposition, Introduction)
Mixed-Integer Optimization II, Section 3.4 (Generalized Benders decomposition, Introduction)
Oliver Stein
Mixed-Integer Optimization II, Section 3.6.1 (Lagrange relaxation, construction and relaxation property)
Mixed-Integer Optimization II, Section 3.6.1 (Lagrange relaxation, construction and relaxation property)
Oliver Stein
Mixed-Integer Optimization II, Section 3.5.4 (Cutting plane method for MICP), part 2
Mixed-Integer Optimization II, Section 3.5.4 (Cutting plane method for MICP), part 2
Oliver Stein
Mixed-Integer Optimization II, Section 3.5.3 (Optimality cuts)
Mixed-Integer Optimization II, Section 3.5.3 (Optimality cuts)
Oliver Stein
Mixed-Integer Optimization II, Section 3.5.2 (Feasibility cuts)
Mixed-Integer Optimization II, Section 3.5.2 (Feasibility cuts)
Oliver Stein
Mixed-Integer Optimization II, Section 3.8.1 (Diving heuristics), Section 3.8.2 (Local branching)
Mixed-Integer Optimization II, Section 3.8.1 (Diving heuristics), Section 3.8.2 (Local branching)
Oliver Stein
Mixed-Integer Optimization II, Section 3.7.4 (Initialization)
Mixed-Integer Optimization II, Section 3.7.4 (Initialization)
Oliver Stein
Mixed-Integer Optimization II, Section 3.7.2 (Column generation)
Mixed-Integer Optimization II, Section 3.7.2 (Column generation)
Oliver Stein
Mixed-Integer Optimization II, Section 3.6.3 (Comparison to continuous relaxation)
Mixed-Integer Optimization II, Section 3.6.3 (Comparison to continuous relaxation)
Oliver Stein
Mixed-Integer Optimization II, Section 3.6.2 (Decomposition by Lagrange relaxation)
Mixed-Integer Optimization II, Section 3.6.2 (Decomposition by Lagrange relaxation)
Oliver Stein
Mixed-Integer Optimization II, Section 3.5.4 (Cutting plane method for MICP), part 1
Mixed-Integer Optimization II, Section 3.5.4 (Cutting plane method for MICP), part 1
Oliver Stein
Mixed-Integer Optimization II, Section 3.5.1 (Motivation of the Outer Approximation method)
Mixed-Integer Optimization II, Section 3.5.1 (Motivation of the Outer Approximation method)
Oliver Stein
Mixed-Integer Optimization II, Section 3.2 (Continuous relaxation and rounding)
Mixed-Integer Optimization II, Section 3.2 (Continuous relaxation and rounding)
Oliver Stein
Mixed-Integer Optimization II, Section 3.4.7 (Cutting plane method for MICP), part 2
Mixed-Integer Optimization II, Section 3.4.7 (Cutting plane method for MICP), part 2
Oliver Stein
Mixed-Integer Optimization II, Section 3.4.7 (Cutting plane method for MICP), part 1
Mixed-Integer Optimization II, Section 3.4.7 (Cutting plane method for MICP), part 1
Oliver Stein
Mixed-Integer Optimization II, Section 3.4.6 (Feasibility cuts)
Mixed-Integer Optimization II, Section 3.4.6 (Feasibility cuts)
Oliver Stein
Mixed-Integer Optimization II, Section 3.4.5 (Optimality cuts), part 3
Mixed-Integer Optimization II, Section 3.4.5 (Optimality cuts), part 3
Oliver Stein
Mixed-Integer Optimization II, Section 3.4.5 (Optimality cuts), part 2
Mixed-Integer Optimization II, Section 3.4.5 (Optimality cuts), part 2
Oliver Stein
Mixed-Integer Optimization II, Section 3.4.3 (A functional description of the reduced feasible set)
Mixed-Integer Optimization II, Section 3.4.3 (A functional description of the reduced feasible set)
Oliver Stein
Mixed-Integer Optimization II, Section 3.4.4 (A purely discrete problem equivalent to MICP)
Mixed-Integer Optimization II, Section 3.4.4 (A purely discrete problem equivalent to MICP)
Oliver Stein
Mixed-Integer Optimization II, Section 3.3.3 (The nonconvex case)
Mixed-Integer Optimization II, Section 3.3.3 (The nonconvex case)
Oliver Stein
Mixed-Integer Optimization II, Section 3.1 (Models in portfolio optimization)
Mixed-Integer Optimization II, Section 3.1 (Models in portfolio optimization)
Oliver Stein
Mixed-Integer Optimization II, Section 3 (Mixed-integer nonlinear optimization), Introduction
Mixed-Integer Optimization II, Section 3 (Mixed-integer nonlinear optimization), Introduction
Oliver Stein
Mixed-Integer Optimization II, Section 3.4.5 (Optimality cuts), part 1
Mixed-Integer Optimization II, Section 3.4.5 (Optimality cuts), part 1
Oliver Stein
Mixed-Integer Optimization II, Section 3.4.1 (Reduced feasible set and reduced objective function)
Mixed-Integer Optimization II, Section 3.4.1 (Reduced feasible set and reduced objective function)
Oliver Stein
Mixed-Integer Optimization II, Section 3.4.2 (Convexity of the reduced feasible set and of the reduced objective function)
Mixed-Integer Optimization II, Section 3.4.2 (Convexity of the reduced feasible set and of the reduced objective function)
Oliver Stein
Mixed-Integer Optimization II, Section 3.3.1 (B&B für MINLP - A conceptual algorithm), Section 3.3.2 (The convex case)
Mixed-Integer Optimization II, Section 3.3.1 (B&B für MINLP - A conceptual algorithm), Section 3.3.2 (The convex case)
Oliver Stein
KIT Personalversammlung 20.07.2022
KIT Personalversammlung 20.07.2022
Personalrat KIT
KIT Personalversammlung am 20.07.2022 mit Gebärdenübersetzung
KIT Personalversammlung am 20.07.2022 mit Gebärdenübersetzung
Personalrat KIT
Nature-inspired optimization methods SS 2022 : Chapter: Evolutionary algorithms
Nature-inspired optimization methods SS 2022 : Chapter: Evolutionary algorithms
Pradyumn Shukla
Nature-inspired optimization methods SS 2022 : Modelling fairness in resource allocation problems
Nature-inspired optimization methods SS 2022 : Modelling fairness in resource allocation problems
Pradyumn Shukla
Nature-inspired optimization methods SS 2022 : Chapter: Constraint handling techniques
Nature-inspired optimization methods SS 2022 : Chapter: Constraint handling techniques
Pradyumn Shukla
Nature-inspired optimization methods SS 2022 : User preferences, distributed computing
Nature-inspired optimization methods SS 2022 : User preferences, distributed computing
Pradyumn Shukla
Nature-inspired optimization methods SS 2022 : Chapter: An Algorithmic Framework for Many-Objective-Optimization
Nature-inspired optimization methods SS 2022 : Chapter: An Algorithmic Framework for Many-Objective-Optimization
Pradyumn Shukla
Nature-inspired optimization methods SS 2022 : Robust Design Optimization
Nature-inspired optimization methods SS 2022 : Robust Design Optimization
Pradyumn Shukla
Nature-inspired optimization methods SS 2022 : Multi-objective Evolutionary Algorithms
Nature-inspired optimization methods SS 2022 : Multi-objective Evolutionary Algorithms
Pradyumn Shukla
Nature-inspired optimization methods SS 2022 : Search operators
Nature-inspired optimization methods SS 2022 : Search operators
Pradyumn Shukla
Nature-inspired optimization methods SS 2022 : Chapter: Representation
Nature-inspired optimization methods SS 2022 : Chapter: Representation
Pradyumn Shukla
Nature-inspired optimization methods SS 2022 : Chapter: Escaping Local Minima
Nature-inspired optimization methods SS 2022 : Chapter: Escaping Local Minima
Pradyumn Shukla
Nature-inspired optimization methods SS 2022 : Problem Solving and Basic Concepts II. Basic Concepts
Nature-inspired optimization methods SS 2022 : Problem Solving and Basic Concepts II. Basic Concepts
Pradyumn Shukla
Nature-inspired optimization methods SS 2022 : Chapter: Escaping Local Minima II. Tabu Search
Nature-inspired optimization methods SS 2022 : Chapter: Escaping Local Minima II. Tabu Search
Pradyumn Shukla
Nature-inspired optimization methods SS 2022 : Chapter 1: Problem Solving and Basic Concepts
Nature-inspired optimization methods SS 2022 : Chapter 1: Problem Solving and Basic Concepts
Pradyumn Shukla
Nature-inspired optimization methods SS 2022 : Introductory lecture
Nature-inspired optimization methods SS 2022 : Introductory lecture
Pradyumn Shukla