Multi-level, aggregation and domain decomposition techniques in large scale numerical optimization
With the increasing amount of data coming from real life applications, optimization problems are getting bigger and bigger and traditional optimization methods (and related existing software) cannot cope with them. The goal of the project is to employ techniques of numerical linear algebra, such as multigrid, domain decomposition and aggregation, either within existing optimization algorithms or as a framework for development of new algorithms. Emphasis is given to nonlinear continuous optimization. The resulting methods can either be general purpose or tailored for existing optimization problems, for instance in mechanical engineering optimal design. Among the requirements for this project is good knowledge of linear algebra, nonlinear optimization and computer programming, at least in Matlab.
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This research project is one of a number of projects in the School of Mathematics. It is in competition for funding with one or more of our advertised PhD projects. Usually the project which receives the best applicant will be awarded supported.
Normally scholarships are only available to UK or EU citizens. Other nationals who are normally resident in the UK or those who have been resident in the UK for a period of 3 years or more are also eligible.
All students with the correct qualifications and access to independent funding are also welcome to apply.
How good is research at University of Birmingham in Mathematical Sciences?
FTE Category A staff submitted: 40.00
Research output data provided by the Research Excellence Framework (REF)
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