The course deals mainly with numerical methods for approximate solutions to systems of linear algebraic equations and the problem of calculating eigenvalues ​​and eigenvectors of matrices. In real-world problems, where the problem size is often very large and the matrix is ​​sparse, the direct methods become unsuitable because the storage requirements and computational volume are too high. Iterative methods play an important role in solving such problems.