Conjugate Gradient for Normal Equations and Preconditioning

The document discusses various numerical methods for solving linear systems and least squares problems, focusing on conjugate gradient and GMRES methods. It includes details on algorithm implementations, convergence behaviors, and examples using specific test matrices. Additionally, it covers preconditioning techniques to enhance the performance of the algorithms.