The main lecturers come from the following universities and research centers:

1. •Institute of Numerical Mathematics (INM) of the Russian Academy of Sciences (RAS)
   

2. •Lomonosov Moscow State University (LMSU),
   

3. •University of Rome "Tor Vergata" (TV),
   

4. •Chinese University of Hong Kong (CUHK)
   

5. •CINVESTAV Mexico (CM).
   

Their names and scientific interests are listed below (by clicking on the photo you will be linked to the lecturer own page)

There will be further lecturers holding seminars on research topics studied in Lomonosov and Tor Vergata universities Link

Prof. Carmine Di Fiore, TV

Associate professor at the University of Tor Vergata. His main scientific interests regard:

Numerical mathematics, matrix algebras and fast discrete transforms, low complexity quasi-Newton iterative schemes, structured linear systems.

Corresponding member of the Russian Academy of Sciences, Full Professor at Moscow Institute of Physics and Technology, Dr. Hab. in Numer. Math., Deputy Director of the Institute of Numerical Mathematics of RAS in Moscow, Lecturer at the Lomonosov Moscow State University.

His main scientific interests regard:

Numerical analysis, linear algebra and its applications, matrix and tensor computations, multidimensional problems, asymptotic matrix analysis

Prof. Eugene E. Tyrtyshnikov, INM - RAS - LMSU

Prof. Paolo Zellini, TV

Prof. Khakim Ikramov, LMSU

Full professor at the Lomonosov Moscow State University. His main scientific interests regard topics on the frontier between pure and computational linear algebra such as canonical and condensed forms and special classes of matrices

Full professor of numerical analysis at the university of Rome Tor Vergata, well known essayist. Expert in fields of numerical linear algebra, complexity of numerical problems, low complexity quasi-Newton methods

Prof. Raymond H. Chan, CUHK

Chair professor in the Department of Mathematics at the Chinese University of Hong Kong.

He is a widely cited expert in numerical linear algebra, iterative Toeplitz solvers, image processing and queueing networks

Prof. Daniele Bertaccini, TV

Associate professor at the University of Rome “Tor Vergata”, expert of algorithms based on matrix structures for efficiently solving numerical multidimensional problems arising in science and engineering

Prof. Sergey Grudsky, CM

One of the most active and deep researchers in asymptotics for the eigenvalues of Toeplitz matrices, coauthor of several books joint with A. Böttcher. His main fields of interests regard Wiener-Hopf methods and its applications, spectral properties of large Toeplitz matrices.

Program

Participants

Lecturers

Application and

Scholarships

Courses

The Rome-Moscow school of

Matrix Methods and Applied Linear Algebra

19th September - 3th October 2010, University of Rome “Tor Vergata”

10th - 24th October 2010, Lomonosov Moscow State University

Lecturers

On condiagonalizable matrices.

Conjugate-normal matrices: A survey. (with H. Fassbender)

Theorems of the Hoffman-Wielandt type for the coneigenvalues of complex matrices

(with Yu.R. Nesterenko)

A complete solution of the normal Hankel problem.  (with V.N. Chugunov)

Hierarchical Kronecker tensor-product approximations. (with W. Hackbusch, B.N. Khoromskij) 

Approximate iterations for structured matrices. (with W. Hackbusch, B.N. Khoromskij)

Tucker dimensionality reduction of three-dimensional arrays in linear time. (with I.Oseledets, D.Savostyanov)

Breaking the curse of dimensionality, or how to use SVD in many dimensions. (with I.Oseledets)

Inside the Eigenvalues of Certian Hermitian Toeplitz Band Matrices. (with A. Boettcher, E. A. Maksimenko)

Pushing the Envelope of the Test Functions in the Szego and Avram-Parter Theorems

(with A. Boettcher, E. A. Maksimenko)

Commutative C*-algebras of Toeplitz operators and quantization on the unit disk.

(with R.Quiroga-Barranco, N.Vasilevski)

Albrecht Boettcher and Sergei M. Grudsky. Spectral Properties of Banded Toeplitz Matrices.

TT-cross approximation for multidimensional arrays (with I. Oseledets)

On a set of matrix algebras related to discrete Hartley-type transforms (with A. Bortoletti)

Matrix algebras in optimal preconditioning (with P. Zellini)

Matrix algebras and displacement decompositions

Matrix decompositions using displacement rank and classes of commutative matrix algebras

(with C. Di Fiore)

Low complexity secant quasi-Newton minimization algorithms for nonconvex functions

(with C. Di Fiore, S. Fanelli)

Matrix algebras in quasi-Newton methods for unconstrained minimization (with C. Di Fiore, S. Fanelli, F. Lepore)

Wavelet algorithms for high-resolution image reconstruction

(with T. F. Chan, L. Shen, Z. Shen)

A framelet-based image inpainting algorithm (with J. Cai, Z. Shen)

Inpainting by Flexible Haar-Wavelet Shrinkage (with S. Setzer, G. Steidl)

Simultaneously inpainting in image and transformed domains (with J. Cai, L. Shen, Z. Shen)

Updating preconditioners for nonlinear deblurring and denoising image restoration (with F. Sgallari)

Block Preconditioning of Real-Valued Iterative Algorithms for Complex Linear Systems (with M. Benzi)

Spectral analysis of nonsymmetric quasi-Toeplitz matrices with applications to preconditioned multistep formulas (with F. Di Benedetto)

Spectral analysis of a preconditioned iterative method for the convection-diffusion equation (with G. H. Golub, S. Serra-Capizzano)