Joint Mathematics Meetings SIAM Special Session

Current as of Saturday, January 14, 2023 03:30:04

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• Deadlines
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• Inquiries: meet@ams.org

2023 Joint Mathematics Meetings (JMM 2023)

• John B. Hynes Veterans Memorial Convention Center, Boston Marriott Hotel, and Boston Sheraton Hotel, Boston, MA
• January 4-7, 2023 (Wednesday - Saturday)
• Meeting #1183

Associate Secretary for the AMS Scientific Program:

Steven H. Weintraub, Lehigh University shw2@lehigh.edu

Society for Industrial and Applied Mathematics Special Session on SIAM Minisymposium on Numerical Linear Algebra: Algorithms, Computations, and Application

• Wednesday January 4, 2023, 1:00 p.m.-6:00 p.m.
  Society for Industrial and Applied Mathematics Special Session on SIAM Minisymposium on Numerical Linear Algebra: Algorithms, Computations, and Application
  Room 310, Hynes Convention Center
  Organizers:
  James Nagy, Emory University jnagy@emory.edu
  Elizabeth Newman, Emory University
  

  • 1:00 p.m.
    Data-driven reduced order models, networks and inverse scattering
    Liliana Borcea, University of Michigan
    Vladimir Druskin*, WPI
    Alexander Mamonov, University of Houston
    Mikhail Zaslavsky, Southern Methodist University
    Joern Zimmerling, University of Uppsala
    (1183-65-20525)
  • 1:30 p.m.
    Bayesian and Deterministic Spatio-Temporal Methods with Edge-Preserving Priors for Inverse Problems
    Eric de Sturler, Virginia Tech
    Malena Ines Espanol, Arizona State University
    Silvia Gazzola, University of Bath
    Shiwei Lan, Arizona State University
    Shuyi Li, Arizona State University
    Mirjeta Pasha*, Arizona State University
    Arvind Krishna Saibaba, North Carolina State University
    (1183-65-19489)
  • 2:00 p.m.
    Linear Systems in Interpolation-Based Approximation of Time-Varying Parameters
    Sara Rose Amato, Worcester Polytechnic Institute
    Andrea Arnold*, Worcester Polytechnic Institute
    (1183-65-20472)
  • 2:30 p.m.
    A Stable Method for Discretizing Differential Operators on Curves and Surfaces Using the RBF-FD Method
    Jacob Blazejewski*, Michigan Technological University
    Cecile Piret, Michigan Technological University
    (1183-65-22052)
  • 3:00 p.m.
    Learning mechanical systems using structured barycentric forms
    Ion Victor Gosea, Max Planck Institute for Dynamics of Complex Technical Systems
    Serkan Gugercin, Virginia Tech
    Steffen W. R. Werner*, Courant Institute of Mathematical Sciences, New York University
    (1183-65-18942)
  • 3:30 p.m.
    Break
  • 4:00 p.m.
    Matrix recovery from matrix-vector products
    Diana Halikias, Cornell University
    Alex Townsend*, Cornell University
    (1183-65-18279)
  • 4:30 p.m.
    Learning from anchors using graph smoothness: With applications to distance geometry and dictionary learning
    Abiy Tasissa*, Tufts University
    (1183-65-21194)
  • 5:00 p.m.
    Discovering Hierarchical Matrix Structure Through Recursive Tensor Decomposition
    Xiaozhe Hu, Tufts University
    Misha Kilmer, Tufts University
    Arvind Krishna Saibaba, North Carolina State University
    Mitchell T Scott*, Tufts University
    (1183-65-19330)
  • 5:30 p.m.
    A Matrix-Mimetic Tensor Algebra for Optimal Representations of Multiway Data
    Haim Avron, Tel Aviv University
    Lior Horesh, IBM Research
    Misha Kilmer, Tufts University
    Elizabeth Newman*, Emory University
    (1183-65-18379)