Linear Algebra, Mathematics, Science, Computational Thinking.
Applications and Importance: Matrix multiplication and matrix inverse find extensive applications in various fields, including computer graphics, data analysis, optimization problems, machine learning, and more. They are fundamental tools in solving systems of linear equations, transforming