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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 1 – 20 of 55 1 Visualisierungen bei instruktionalen Erklärungen – Eine qualitative Analyse der Bedeutung von Visualisierungen mithilfe von Erklär-Videos am Beispiel des Themas Äquivalenzumformungen Renz (geb. Niebuhr), Karin. - : Freiburg : Pädagogische Hochschule Freiburg, 2021 BASE Show details 2 FALKE: Experiences From Transdisciplinary Educational Research by Fourteen Disciplines Lindl, Alfred; Hilbert, Sven; Schilcher, Anita. - : Frontiers Media SA, 2021 BASE Show details 3 Evaluating Unsupervised Representation Learning for Detecting Stances of Fake News Guderlei, Maike; Aßenmacher, Matthias. - : Ludwig-Maximilians-Universität München, 2020 BASE Show details 4 Flexibilität im Umgang mit mathematischen Situationsstrukturen — Eine Vorstudie für die Entwicklung eines Förderkonzepts zum Lösen additiver Textaufgaben Ufer, Stefan; Gabler, Laura In: Journal für Mathematik-Didaktik (2020) BASE Show details 5 Teacher's attention to characteristics of parabola sketches: differences between use of manual and automated analysis Olsher, Shai; Abu Raya, Kholod. - 2020 BASE Show details 6 Seeing the entire picture (STEP): an example-eliciting approach to online formative assessment Yerushalmy, Michal. - 2020 BASE Show details 7 Bilingual math lessons with digital tools: challenges can be door opener to language and technology Müller, Matthias. - 2020 BASE Show details 8 Using silent video tasks for formative assessment Kristinsdóttir, Bjarnheiður (Bea); Hreinsdóttir, Freyja; Lavicza, Zsolt. - 2020 BASE Show details 9 Towards automated grouping: unraveling mathematics teachers’ considerations Abdu, Rotem; Olsher, Shai; Yerushalmy, Michal. - 2020 BASE Show details 10 Automated feedback at task level: error analysis or worked out examples – which type is more effective? Pinkernell, Guido; Gulden, Lukas; Kalz, Marco. - 2020 BASE Show details 11 Bedingte Wahrscheinlichkeit: Bedeutungsbezogene Sprache zum Verbal. der Teil-Ganzes-Relation in Anteilsbildern Post, Monika; Prediger, Susanne. - : Gesellschaft für Didaktik der Mathematik, 2020 BASE Show details 12 Capturing teaching practices in language-responsive mathematics classrooms extending the TRU framework “teaching for robust understanding” to L-TRU Prediger, Susanne; Neugebauer, Philipp. - 2020 BASE Show details 13 Erfahrung und Gewissheit – Orientierungen in den Wissenschaften und im Alltag. IV. Regensburger Symposium vom 24.-26. März 2011 Thim-Mabrey, Christiane; Brack, Matthias. - : Universitätsbibliothek Regensburg, 2020 BASE Show details 14 Verzeitlichung des Unsäglichen Carlé, Martin. - : Humboldt-Universität zu Berlin, 2019 BASE Show details 15 Leistungen im Steuerungskontext: Qualitative und quantitative Einflussgrössen auf mathematische und sprachliche Leistungen Meier, Patrick (Dr. phil). - : Hildesheim : Stiftung Universität Hildesheim, 2019 BASE Show details 16 Syntaktische Komplexität individueller Sprachproduktion bei Denkprozessen zu Bestand und Änderung Prediger, Susanne; Şahin-Gür, Dilan. - : Gesellschaft für Didaktik der Mathematik, 2019 BASE Show details 17 ADMM in Optimization and Control: Algorithm Specialization, Computational Distribution, and the Value of Structure Rey, Felix. - : ETH Zurich, 2018 Abstract: The alternating direction method of multipliers (ADMM) is a first-order optimization algorithm for solving convex problems. We study ADMM under a specialization paradigm, which means that we shape the algorithm to customize it to the optimization problem at hand. This specialization paradigm comes as a contrast to using an ‘off-the-shelf’ or general-purpose solver, which follows a ‘one size fits all’ policy. We show that algorithm specialization makes it possible to synthesize a range of desirable algorithm features and characteristics, which promotes ADMM as a powerful and versatile tool in optimization and control. We study specialized ADMM in a variety of forms and for a range of applications. We first consider an optimal bidding strategy for energy reserve markets. In such markets, guarantees for providing grid-balancing power capacity are traded. We devise an ADMM-driven negotiation protocol that coordinates aggregations of market participants to place a joint energy reserve bid. We show that this algorithmic negotiation equally distributes the computational burden to the participants and that it provides further beneficial features, such as low set-up costs and a large participant autonomy. In a second specialized ADMM formulation, we contribute to the area of autonomous coordination and collision avoidance. We present a decentralized ADMM-based navigation protocol for the coordination of moving agents. A challenge arises from the nonconvex collision avoidance constraints, which we handle with successive linearization at each ADMM iteration. A main feature of the resulting algorithm is that it operates from an agent’s point of view, which means that each agent uses a local coordinate system and interacts with its nearest neighbors only. We show that this fully decentralized perspective provides a range of favorable properties to handle the coordination task. Besides tailor-fitting ADMM for specific areas, we also propose an ADMM specialization framework for a general class of model predictive control (MPC) problems. More specifically, we devise a method that uses the structure in the controlled system as an additional source of efficiency for the optimization routine. The algorithm then mimics the structural properties of the system, which leads to an improved performance of the overall procedure. The resulting ADMM formulations are highly parallelizable and particularly suited for embedded implementation. We also present a novel measure for system structure, called the separation tendency. With the separation tendency, we can decide whether a system is sufficiently structured for utilizing our ADMM framework. In the last part of this thesis, we provide a detailed application study for structure-exploiting ADMM. We show how to model and control the power flow in a variable speed drive (VSD). It turns out that the resulting VSD model is a structured system, which makes controlling the power flow in the VSD an excellent example for algorithm specialization. Keyword: ADMM; computer science; Data processing; Distributed algorithms; info:eu-repo/classification/ddc/4; info:eu-repo/classification/ddc/510; Mathematics; Model predictive control; Optimization algorithms URL: https://hdl.handle.net/20.500.11850/311505 https://doi.org/10.3929/ethz-b-000311505 BASE Hide details 18 The dynamic logic of stating and asking Ciardelli, Ivano; Baltag, Alexandru. - : Ludwig-Maximilians-Universität München, 2017 BASE Show details 19 Computational and Statistical Tradeoffs via Data Summarization Lucic, Mario. - : ETH Zurich, 2017 BASE Show details 20 Sequential estimation techniques and application to multiple speaker tracking and language modeling Oualil, Youssef. - : Saarländische Universitäts- und Landesbibliothek, 2017 BASE Show details Page: 1 2 3

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