This repository contains a detailed project where I have explored the intersection of linear algebra and neural networks. The project is divided into two primary sections: Matrix Transformations: In ...

Linear Discriminant Analysis (LDA) is a supervised technique widely used in machine learning for classification and dimensionality reduction. It differs from Principal Component Analysis (PCA) because ...

Abstract: This book contains a detailed discussion of the matrix operation, its properties, and its applications in finding the solution of linear equations and determinants. Linear algebra is a ...

FLAME is a methodology for developing dense linear algebra libraries that is radically different from the LINPACK/LAPACK approach that dates back to the 1970s. By libFLAME we denote the library that ...

Abstract: Students often experience carelessness, lack of confidence and less motivation to learn Mathematics, thus, teaching aid tool is needed to increase student engagement to learn Linear Algebra.

Finding interesting features in scale-free graph data has become an important numerical linear algebra application. Spectral methods can be used to expose certain types of topological community ...