Registered Data

[02537] Structured Low-Rank Matrices and Their Applications

  • Session Date & Time :
    • 02537 (1/2) : 5C (Aug.25, 13:20-15:00)
    • 02537 (2/2) : 5D (Aug.25, 15:30-17:10)
  • Type : Proposal of Minisymposium
  • Abstract : Large dense matrices are ubiquitous in engineering and data science applications, e.g. preconditioners for iterative boundary integral solvers, frontal matrices in sparse multifrontal solvers, and computing the determinant of covariance matrices. Such dense matrices have a numerical low-rank structure, which can be exploited to reduce the complexity of matrix multiplication and factorization from cubic to (near-)linear. As mixed-precision and randomized linear algebra become commonplace, such approximations become increasingly important.
  • Organizer(s) : Rio Yokota, Hatem Ltaief
  • Classification : 65Rxx, 15Axx, 41Axx, 65Yxx, 65Nxx
  • Speakers Info :
    • George Biros (The University of Texas at Austin)
    • Ronald Kriemann (Max Planck Institute for Mathematics in the Sciences)
    • Wajih Boukaram (Lawrence Berkeley National Laboratory)
    • Takumi Miyajima (The University of Tokyo)
    • Sameh Abdulah (King Abdullah University of Science and Technology)
  • Talks in Minisymposium : No registered information