Outline:

1. This is the second course on numerical linear algebra, which introduces the basic numerical algorithms for sparse matrix problems. It provides the backbone for statistic, paralell, scientific computing and data science.

Objective:

In this course we study the classical and modern iterative methods to solve sparse linear systems, sparse least squares and sparse eigenvalue problems.

Textbook:

1. Lecture Note