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<span style="font-size: 14pt;"><b><i>"The Surprising Robustness and Computational Efficiency of Weak Form System Identification"
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<div class="ContentPasted0"><span style="font-size: 14pt;"><b>David Bortz, </b></span><span style="font-size: 10pt;">Applied Mathematics, </span><span style="font-size: 10pt;">University of Colorado Boulder</span></div>
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<div class="ContentPasted0">Please feel free to forward/share this invitation with other groups/disciplines that might be interested in this talk/topic.
<b>All are welcome to attend. </b></div>
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<div class="ContentPasted0">NOTE: In-person attendance is requested. Zoom access is intended for external (non-departmental) participants only.
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<div class="ContentPasted0"><b>https://fsu.zoom.us/j/94273595552 </b></div>
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<div class="ContentPasted0">Meeting # <b>942 7359 5552 </b></div>
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<div class="ContentPasted0">🎦 Colloquium recordings will be made available here,
<a href="https://www.sc.fsu.edu/colloquium" id="OWAec802b8a-4e6a-5bec-0775-c5595149b0c5" class="OWAAutoLink">
https://www.sc.fsu.edu/colloquium</a> </div>
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<div><b style="font-family: inherit; font-size: inherit; font-style: inherit; font-variant-ligatures: inherit; font-variant-caps: inherit;">Wednesday, Feb 28th</b>, 2024, Schedule: <br>
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<div>* 3:00 to 3:30 PM Eastern Time (US and Canada)<br>
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<div>☕ Nespresso & Teatime - 417 DSL Commons<br>
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<div class="ContentPasted0">* <b>3:30 to 4:30 PM</b> Eastern Time (US and Canada)
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<div><b>🕟 <span style="font-family: inherit; font-size: inherit; font-style: inherit; font-variant-ligatures: inherit; font-variant-caps: inherit;">
Colloquium</span> - 499 DSL Seminar Room<br>
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<div class="ContentPasted0"><b>Abstract: </b></div>
<div class="ContentPasted0">Recent advances in data-driven modeling approaches have proven highly successful in a wide range of fields in science and engineering. In this talk, I will briefly discuss several ubiquitous challenges with the conventional model
development / discretization / parameter inference / model revision loop that our methodology attempts to address. I will present our weak form methodology which has proven to have surprising performance and robustness properties. In particular, I will describe
our equation learning (WSINDy) and parameter estimation (WENDy) algorithms. Lastly, I will discuss applications to several benchmark problems, illustrating how our approach addresses several of the above issues and offers advantages in terms of computational
efficiency, noise robustness, and modest data needs (in an online learning context).</div>
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<div class="ContentPasted0">Additional colloquium details can be found here,</div>
<a href="https://www.sc.fsu.edu/news-and-events/colloquium/1771-colloquium-with-david-bortz-2024-02-28" id="OWAa4b782d6-5427-522f-6de3-04897ac71e75" class="OWAAutoLink">https://www.sc.fsu.edu/news-and-events/colloquium/1771-colloquium-with-david-bortz-2024-02-28</a><br>
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