| DC Field | Value | Language |
|---|
| dc.contributor.author | Mukha, V. S. | - |
| dc.coverage.spatial | Минск | en_US |
| dc.date.accessioned | 2024-01-16T06:41:26Z | - |
| dc.date.available | 2024-01-16T06:41:26Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.citation | Mukha, V. S. Block methods of multidimensional-matrix data analysis / V. S. Mukha // Информационные технологии и системы 2023 (ИТС 2023) = Information Technologies and Systems 2023 (ITS 2023) : материалы Международной научной конференции, Минск, 22 ноября 2023 / Белорусский государственный университет информатики и радиоэлектроники ; редкол.: Л. Ю. Шилин [и др.]. – Минск : БГУИР, 2023. – С. 215–217. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/54098 | - |
| dc.description.abstract | The paper is devoted to the substantiation and the software implementation of the block method for the solving
of the multidimensional-matrix problems. For this purpose, the notion of the cell is introduced as the ordered set
of the multidimensional matrices. The two-dimensional block matrices are considered along with the cells as the multidimensional-matrix block constructions. It is shown that the multidimensional-matrix problem formulated in terms of the cells is transformed in the natural way to the block two-dimensional problem. As an application, the problem of the estimation of the coefficients of the multidimensional-matrix polynomial regression function is considered. This problem is reduced to the numerical solution of the system of the multidimensional-matrix linear algebraic equations. The two methods to the solution of the system are developed: the block Gauss method and the block method of the matrix inverse. Both of them are realized programmatically as standard functions. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | БГУИР | en_US |
| dc.subject | материалы конференций | en_US |
| dc.subject | block method | en_US |
| dc.subject | multidimensional-matrix problems | en_US |
| dc.subject | algebraic equations | en_US |
| dc.title | Block methods of multidimensional-matrix data analysis | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | ИТС 2023
|
