Matrix Decompositions: Factorization and SVD

Matrix decompositions are fundamental tools in linear algebra that reveal the underlying structure of matrices and enable efficient solutions to a wide range of computational problems. This chapter explores key factorization techniques, beginning with essential concepts such as norms, dot products, and orthogonality, which form the building blocks for understanding more advanced decompositions.