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JOURNALS // Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki // Archive

Zh. Vychisl. Mat. Mat. Fiz., 2022 Volume 62, Number 11, Pages 1804–1821 (Mi zvmmf11467)

General numerical methods

Search for sparse solutions of super-large systems with a tensor structure

D. A. Zheltkov, N. L. Zamarashkin, S. V. Morozov

Marchuk Institute of Numerical Mathematics, Russian Academy of Sciences, 119333, Moscow, Russia

Abstract: The problem of finding a sparse solution to large systems of linear equations arises in many applications related to signal processing. Sometimes, the size of these systems is so large that the known methods are inefficient. Such systems can be solved only if there is additional structure inherent in them. In this paper, an efficient approach for finding sparse solutions to super-large systems of linear equations with a tensor structure of a certain type is proposed. The theoretical analysis and experimental results make it possible to judge the efficiency of the proposed method.

Key words: least squares method, sparse solution, tensor structure of an operator.

UDC: 512.643.8

Received: 30.12.2021
Revised: 06.06.2022
Accepted: 07.07.2022

DOI: 10.31857/S0044466922110151


 English version:
Computational Mathematics and Mathematical Physics, 2022, 62:11, 1782–1798

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© Steklov Math. Inst. of RAS, 2024