Numerical Analysis: Numerical Linear Algebra

Education facts

Code: NUMB11

<p>The course gives an introduction to numerical linear algebra, including numerical methods and principles for solving fundamental problems in linear algebra. The course prepares for further studies in numerical analysis, statistics, computer science and image analysis.</p><p>The course covers:</p> <ul> <li>Direct and/or iterative solution methods for various linear algebra problems such as linear systems of equations, eigenvalue problems and the least-squares method,</li> <li> Matrix and vector norms, orthogonalisation, projection, matrix factorisations, direct and iterative solvers, condition numbers, stability of a method, complexity of an algorithm,</li> <li> Applying these concepts to construct numerical methods and solve problems in linear algebra,</li> <li> The significance of important matrix classes in numerical linear algebra.</li> </ul>

Entry requirements

For admission to the course, students must meet the general entry requirements for higher education, English 6 and 37,5 higher education credits in mathematics including knowledge equivalent to the courses MATA31 Analysis in One Variable, 15 credits, NUMA01 Computational Programming with Python, 7.5 credits, MATA32 Algebra and Vector Geometry 7.5 credits, and MATB32 Linear Algebra, 7.5 credits.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Numerical Analysis: Numerical Linear Algebra

  Lund University

  Start date: 31 August 2026

  End date: 1 November 2026

  Pace of study: 50 %