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4th International Conference on Matrix Methods and Applications

Matrices. Image courtesy of Sonja Obdeijn, Flickr, under creative commons license

Matrix. Image courtesy of Sonja Obdeijn, Flickr, under creative commons license (Click to enlarge)

The Skoltech Center for Computational and Data-Intensive Science and Engineering (CDISE) organizes and hosts the 4th International Conference on Matrix Methods and Applications.

Industrial partner: Huawei.

When: August 24 – 29

Where: Skoltech, Technopark building 3

For more info and registration:

The conference will feature leading researchers from the world and Russia, as well as Skoltech’s CDISE team members.

Plenary Sessions and Topics

  • Matrices and Algebra
  • Matrices and Algorithms
  • Matrices and Applications

Invited speakers include:

Christoph Schwab (ETH Zurich)

Pierre-Antoine Absil (UCLouivan)

Andrzej Cichocki (RIKEN Lab)

Peter Benner (Univ. Magdeburg)

Victor Pan (CUNY)

Jacob White (MIT)

Denis Zorin (NYU Courant)

Nicola Mastronardi (Istituto per le Applicazioni del Calcolo, CNR)

Paul Van Dooren (UCLouivan)

Bart Vandreycken (Uni. Geneva)

André Uschmajew (Uni. Bonn)


 Main topics include different areas in linear algebra and its applications:

  • Application challenges
  • Asymptotic matrix analysis
  • Domain decomposition methods
  • Combinatorial matrix theory
  • Computational methods for images, signals and data analysis
  • Fast algorithms for structured matrices
  • Fast matrix solvers and applications
  • Frobenius endomorphisms of matrices
  • Functions of matrices, rational approximation
  • Linear algebra in coding and cryptography
  • Matrices and polynomials
  • Matrices over rings
  • Metric problems for matrices
  • Multigrid and multilevel methods
  • Model reduction problems
  • Nonlinear approximations and compressed sensing
  • Nonnegative matrices and their generalizations
  • Numerical range and numerical radius
  • Preconditioning
  • Rank structured matrices
  • Separation of variables and applications
  • Special types of matrices (projections, involutions, etc.)
  • Tensor decompositions and tensor approximations
  • Tropical linear algebra
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