| Analysis What Ecosystems tell us about “almost every” equation F(X)=C: pure math for the applied scientist James Yorke Institute for Physical Science and Technology, University of Maryland |
References
[1] arXiv.org/abs/2203.01432 Extinction of multiple populations and a team of Die-out Lyapunov functions Akhavan & Yorke
[2] arXiv.org/abs/2203.00503 Robustness of solutions of almost every system of equations Jahedi, Sauer & Yorke
[3] arXiv/abs/2008.12140 Structured Systems of Nonlinear Equations Jahedi, Sauer & Yorke
This week's Analysis seminar may be attended at 4:00 PM CST (UT-6) via this Zoom link.
Meeting ID: 976 4978 7908
Passcode: 973073
| Statistics Semiparametric Inference for Local Extrema of Functions Meng Li Department of Statistics, Rice University |
BIO:
Dr. Meng Li is the Noah Harding Assistant Professor of Statistics at Rice University. He was previously a Visiting Assistant Professor in the Department of Statistical Science at Duke University. He received his PhD from the Department of Statistics at North Carolina State University. His research focuses on structured high-dimensional and nonparametric inference on complex data with theoretical guarantees and scalable implementation. To this end, he is particularly interested in variable selection, post-selection inference, symbolic regression, nonparametric Bayes, quantile regression, image processing, functional data analysis, and materials informatics. He serves as an Associate Editor of Bayesian Analysis and on the Scientific Oversight Committee of Extracorporeal Life Support Organization (ELSO). He has supervised 8 PhD students and 1 postdoc. His work is funded by NSF, NIH, ORAU, and QuesTek.
Please virtually attend this week's Statistics seminar at 4:00 PM (CST, UT-6) Monday the 27th via this zoom link
Meeting ID: 978 8596 5193
Passcode: 037287
| Biomathematics No seminar due to SMB Epi-PDEE |
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| Real-Algebraic Geometry Nullstellensatz 2 David Weinberg Mathematics and Statistics, Texas Tech University |
| Biomathematics Brown Bag Lunch |
| Algebra and Number Theory The Q-shaped derived category of a ring Henrik Holm Department of Mathematical Sciences, University of Copenhagen |
Follow the talk via this Zoom link
Meeting ID: 979 3375 1447
Passcode: 136297
| Applied Mathematics and Machine Learning Learning Turbulence Models from Data - A Unified Perspective of Data Assimilation and Machine Learning Heng Xiao University of Stuttgart, Cluster of Excellence SimTech |
About the speaker. Dr. Heng Xiao is Professor at the University of Stuttgart, Germany. He holds a bachelor’s degree from Zhejiang University, China, a master’s degree from the Royal Institute of Technology (KTH), Sweden, and a Ph.D. degree from Princeton University, USA. From 2009 to 2012, he worked as a postdoctoral researcher at ETH Zurich, Switzerland. Between 2013 and 2022, he was a faculty member in the Department of Aerospace and Ocean Engineering at Virginia Tech. In 2013 he moved to Stuttgart to take the chaired professorship in Data-Driven Fluid Dynamics. His current research focus on turbulence modeling with data-driven methods, including data assimilation, machine learning, and uncertainty quantification..
When: 4:00 pm (Lubbock's local time is GMT -6) Where: room MATH 011 (basement) ZOOM details:
- Choice #1: use this link Direct Link that embeds meeting and ID and passcode.
- Choice #2: join meeting using this link Join Meeting, then you will have to input the ID and Passcode by hand:
* Meeting ID: 940 7062 3025 * Passcode: applied About the Applied Mathematics Seminar: to be notified about TTU's Applied Mathematics Seminar on a weekly basis please send e-mail to igtomas@ttu.edu
| Quantum Homotopy Higher Courant groupoids. The quantomorphism ∞-group extensions Grigory Taroyan Faculty of Mathematics, HSE University |