INSTITUTE OF APPLIED MATHEMATICS
Last Updated:
28/08/2017 - 21:10

IAM767 - Special Topics: Iterative Methods for Large Scale Linear and Nonlinear Equations

Credit: 3(3-0); ECTS: 8.0
Instructor(s): Consent of IAM
Prerequisites: Consent of Instructor(s)

Course Catalogue Description

Iterative Solvers for linear and nonlinear systems of equations, precondtioning technics, analysis and implementation of the algorithms

Course Objectives

Large scale systems of equations arising in the discretization of linear and nonlinear partial differential equations lie at the heart of many algorithms in scientific computing and require highly efficient solvers. The course will be based around understanding the mathematical principles underlying the design and the analysis of effective methods and algorithms.

Course Learning Outcomes

At the end of the course students will become familiar with concepts and ideas related to theoretical basis for algorithms, assessing algorithms with respect to computational cost, conditioning of problems and stability of algorithms.

Tentative (Weekly) Outline

Iterative Solvers for linear and nonlinear systems of equations, precondtioning technics, analysis and implementation of the algorithms

More Info on METU Catalogue

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