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	<title>Math Nicola de Nitti &#8211; FAU DCN-AvH</title>
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	<description>Chair for Dynamics, Control, Machine Learning and Numerics -Alexander von Humboldt Professorship</description>
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		<title>Control of Advection-Diffusion Equations on Networks and Singular Limits</title>
		<link>https://dcn.nat.fau.eu/control-of-advection-diffusion-equations-on-networks-and-singular-limits/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Wed, 30 Jun 2021 20:34:28 +0000</pubDate>
				<category><![CDATA[EZuazua]]></category>
		<category><![CDATA[Math]]></category>
		<category><![CDATA[Math Enrique Zuazua]]></category>
		<category><![CDATA[Math Jon Asier Barcena]]></category>
		<category><![CDATA[Math Nicola de Nitti]]></category>
		<category><![CDATA[advection-diffusion equations]]></category>
		<category><![CDATA[Controllability]]></category>
		<category><![CDATA[cost of controllability]]></category>
		<category><![CDATA[network]]></category>
		<category><![CDATA[singular limits]]></category>
		<category><![CDATA[vanishing viscosity]]></category>
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					<description><![CDATA[Control of Advection-Diffusion Equations on Networks and Singular Limits Jon Asier Bárcena-Petisco, Márcio Cavalcante, Giuseppe Maria Coclite, Nicola de Nitti and Enrique Zuazua Introduction In the past few decades, models based on partial differential equations have been very effective in tackling many problems dealing with flows on networks (e.g. irrigation channels, gas pipelines, blood circulation, [&#8230;]]]></description>
		
		
		
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		<title>Flows on Networks</title>
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		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Thu, 09 Jul 2020 18:49:12 +0000</pubDate>
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		<category><![CDATA[Math Enrique Zuazua]]></category>
		<category><![CDATA[Math Nicola de Nitti]]></category>
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					<description><![CDATA[Flows on Networks Enrique Zuazua, Nicola de Nitti, FAU DCN-AvH, Friedrich-Alexander-Universität Erlangen-Nürnberg &#160; PDE models on Networks In the last few decades, models based on partial differential equations have been very effective in tackling many applied problems dealing with flows on networks. The areas of application include mainly the study of vehicular traffic, supply chains, [&#8230;]]]></description>
		
		
		
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