Method of reducing the dimension of matrices of systems of linear equations and transformation to tridiagonal form in solving economic problems

A method of reducing the dimensionality of matrices is proposed for solving systems of linear equations in problems with high dimensionality. An algorithm is given for the method of reducing sparse matrices of systems of linear equations to a tridiagonal form in order to apply the sweep method to solve systems, which speeds up the calculation process. The application of these methods will allow more efficient use of computing system resources when solving high-dimensional problems in economics and other scientific fields.

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Publication Details

Journal
Vestnik BIST (Bashkir Institute of Social Technologies)
Published
2024-12-26
DOI
https://doi.org/10.47598/2078-9025-2024-4-65-133-140
Primary Topic
Advanced Signal Processing Techniques
Type
article
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article

Method of reducing the dimension of matrices of systems of linear equations and transformation to tridiagonal form in solving economic problems

A. Bystrov, Rif Z. Gilmutdinov
Vestnik BIST (Bashkir Institute of Social Technologies)
Advanced Signal Processing Techniques
article

Method of reducing the dimension of matrices of systems of linear equations and transformation to tridiagonal form in solving economic problems

A. Bystrov, Rif Z. Gilmutdinov
article en

Abstract

A method of reducing the dimensionality of matrices is proposed for solving systems of linear equations in problems with high dimensionality. An algorithm is given for the method of reducing sparse matrices of systems of linear equations to a tridiagonal form in order to apply the sweep method to solve systems, which speeds up the calculation process. The application of these methods will allow more efficient use of computing system resources when solving high-dimensional problems in economics and other scientific fields.

Vestnik BIST (Bashkir Institute of Social Technologies)(4(65))
Decent work and economic growth
Openalex Percentile: Top 78%
Advanced Signal Processing Techniques
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