Lecturer: Christos Pervolianakis
Office: Ernst-Abbe-Platz 2, Room 3533
Email: christos.pervolianakis (AT) uni-jena.de
Dates: Tuesday and Thursday 12-14Uhr
Office hours: Tuesday and Thursday 15-17Uhr.
Description
Many physical and engineering problems are modeled using partial differential equations (PDEs). However, their solutions often cannot be expressed in closed form, requiring numerical approximation. Discretization methods such as finite differences and finite elements transform PDEs into large-scale linear systems that must be solved efficiently. This course delves into iterative solvers, essential for efficiently handling these systems, particularly for sparse and structured matrices. We will explore fundamental iterative methods such as Jacobi, Gauss-Seidel and multigrid methods, as well as minimization techniques like Krylov subspace methods. Additionally, we will examine their convergence properties and preconditioning techniques to accelerate computations.
Recommended knowledge
Course Evaluation
01.04.2025 I would like to inform you that the lectures for this course will begin on April 15, 2025, as I will be attending a conference next week. The two lectures scheduled for next week will be rescheduled in the near future.
15.04.2025 During the lectures on 24.04, 06.05, 20.05, 03.06, 17.06, and 01.07, we will solve exercises.
15-04-2025 Two boundary value problem. Maximum principle. Finite Difference Method for solving the two boudary value problem.
17-04-2025 Finite Difference Method for solving the two boudary value problem. The discrete maximum principle.
22-04-2025 Finite Difference Method for solving the Dirichlet problem for Poisson equation. The discrete maximum principle.
24-04-2025 Solution of the exercise 4 from the Exercise set 1.
28-04-2025 Introduction to iterative methods. General iterative method with the matrix splitting \(\mathbf{A} = \mathbf{M} - \mathbf{N}\). Jordan normal form.
29-04-2025 Necessary and sufficient condition for the convergence of the general iterative method. Classical iterative methods (e.g., Jacobi and Gauẞ-Seidel methods)
06-05-2025 Solution of the exercises 1,2,3,5,6,7 from the Exercise set 1.
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