IAM767 - Special Topics: Iterative Methods for Large Scale Linear and Nonlinear Equations
Instructor(s): Consent of IAM
Prerequisites: Consent of Instructor(s)
Course Catalogue DescriptionIterative Solvers for linear and nonlinear systems of equations, precondtioning technics, analysis and implementation of the algorithms
Course ObjectivesLarge 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 OutcomesAt 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) OutlineIterative Solvers for linear and nonlinear systems of equations, precondtioning technics, analysis and implementation of the algorithms
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