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		<title>Course: A Practical Introduction to Control, Numerics, and Machine Learning (IFAC CPDE 2022)</title>
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					<description><![CDATA[Practical course: Modeling, simulation, optimization FAU DCN-AvH. Friedrich-Alexander Universität Erlangen-Nürnberg (Germany) Period: Summer 2022 (IFAC CPDE 2022 Course) _ This course gives a general introduction and some recent developments on the interface between Control, Numerics, and Machine Learning (Supervised Learning and Universal Approximation). The first part of the course is a general introduction to important [&#8230;]]]></description>
		
		
		
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					<description><![CDATA[Practical course: Modeling, simulation, optimization FAU DCN-AvH. Friedrich-Alexander Universität Erlangen-Nürnberg (Germany) Period: Summer semester 2021 This course provides a practical introduction to some of the most commonly used discretization methods for PDEs (finite differences and finite elements) and their implementation in MATLAB. It also covers some of the basics of gradient-based optimization focused on the [&#8230;]]]></description>
		
		
		
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