College of Mathematics and Statistics, Northwest Normal University, Lanzhou, China. Department of Public Courses, Gansu College of Chinese Medicine, Lanzhou, China. In the paper, a class of fuzzy ...
Abstract: In this paper Recurrent neural networks for solving linear matrix equations are proposed. we give an overview of recent research into recurrent algorithms for the solution of linear matrix ...
ABSTRACT: In the paper, a class of fuzzy matrix equations AX=B where A is an m × n crisp matrix and is an m × p arbitrary LR fuzzy numbers matrix, is investigated. We convert the fuzzy matrix equation ...
Abstract: Matrices are important tools for many fields, and used in solving systems of linear equation. Technological tools are available to work with matrix operations, but still students avoid using ...
Topics include systems of linear equations, matrix algebra, elementary matrices, and computational issues. Other areas of the course focus on the real n-space, vector spaces and subspaces, basis and ...
Matrix algebra serves as a fundamental tool in linear algebra, allowing manipulation and analysis of matrices, which represent linear transformations between vector spaces. This powerful branch of ...
Matrices are commonly used in machine learning and data science to represent data and its transformations. In this week, you will learn how matrices naturally arise from systems of equations and how ...
Taiwanese Journal of Mathematics, Vol. 10, No. 5 (September 2006), pp. 1329-1344 (16 pages) Consider the nonlinear matrix equation X + A* X⁻² A = I, where A is an n × n complex matrix, I the identity ...
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