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Texas A&M University

Events for 11/15/2023 from all calendars

Seminar in Random Tensors

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Location: BLOC 624

Speaker: G. Paouris, TAMU

Title: Structure v. Randomness II

Numerical Analysis Seminar

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Time: 3:00PM - 4:00PM

Location: BLOC 302

Speaker: Yulong Xing, Ohio State University

Title: High Order Structure Preserving Numerical Methods for Euler Equations with Gravitation

Abstract: Hydrodynamical evolution in a gravitational field arises in many astrophysical and atmospheric problems. In this presentation, we will talk about high order structure preserving methods for the Euler equations under gravitational fields, which can exactly preserve some fundamental continuum properties of the underlying problems in the discrete level. We consider the Euler–Poisson equations in spherical symmetry with an equilibrium state governed by the Lane–Emden equation, and design well-balanced (WB) and total-energy-conserving (TEC) discontinuous Galerkin finite element methods. High order semi-implicit well-balanced asymptotic preserving (AP) finite difference scheme, for all Mach Euler equations with gravitation, may also be discussed. Extensive numerical examples — including a toy model of stellar core-collapse with a phenomenological equation of state that results in core-bounce and shock formation — are provided to verify the well-balanced property, positivity-preserving property, high-order accuracy, total energy conservation and good resolution for both smooth and discontinuous solutions.

Douglas Lectures

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Time: 4:00PM - 5:00PM

Location: BLOC 117

Speaker: John McCarthy, Washington University in St. Louis

Title: The Hardy-Weyl algebra and monomial operators

URL: Event link

Graduate Diversity Committee

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Time: 5:15PM - 6:15PM

Location: BLOC 602

Title: Diversity Book Club: 'How Algorithms Create and Prevent Fake News'

Abstract: Abstract: How Algorithms Create and Prevent Fake News is an accessible, broad account of the various ways that data-driven algorithms have been distorting reality and rendering the truth harder to grasp. From news aggregators to Google searches to YouTube recommendations to Facebook news feeds, the way we obtain information today is filtered through the lens of tech giant algorithms. The way data is collected, labelled, and stored has a big impact on the machine learning algorithms that are trained on it, and this is a main source of algorithmic bias ­– which gets amplified in harmful data feedback loops. Don’t be afraid: with this book you’ll see the remedies and technical solutions that are being applied to oppose these harmful trends. There is hope. ---- Chapters 1, 6, 7 which deal with the datafication of journalism, how Google tries to filter "fake news" sources and hate speech/bigoted misinformation from its search algorithm, and lastly, how the tech giant financially supports the fake news industry through its algorithmic ad distribution system.


iCal  iCal

Time: 6:00PM - 7:00PM

Location: BLOC 302

Speaker: Wencai Liu, Texas A&M University

Title: Algebraic geometry, complex analysis and combinatorics in inverse spectral problems of periodic graph operators

Abstract: In this talk, we will discuss the significant role that the algebraic and analytic properties of complex Bloch and Fermi varieties play in the study of periodic operators. I will begin with some basics of periodic graph operators. Then, I will discuss our recent work, demonstrating how techniques from algebraic geometry, complex analysis, and combinatorics can be applied to investigate inverse spectral problems.