Compress-and-eliminate solver for sparse matrices


We propose a new Compress-and-Eliminate Solver for sparse matrices. The approach is proposed by Daria Sushnikova and Ivan Oseledets. The solver has a very simple algebraic structure, and outperfoms state-of-the art CHOLMOD software.


26/05/2016 A TT-eigenvalue solver that finally works Papers
12/05/2016 Exponential machines and tensor trains Papers
06/04/2016 Convergence analysis of a projected fixed-point iteration Papers
30/03/2016 Compress-and-eliminate solver for sparse matrices Papers
01/12/2015 New paper in SIMAX Papers


We are located at the 2-nd floor of the new "Technopark-3” building in Skolkovo (few kilometers outside Moscow Ring Road). The building is accessible from Skolkovo Road (Сколковское шоссе) and Minskoe Highway (Минское шоссе).