Postgraduate Course: Topics in Applied Optimization (MATH11194)
Course Outline
School | School of Mathematics |
College | College of Science and Engineering |
Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
SCQF Credits | 10 |
ECTS Credits | 5 |
Summary | Optimization comes in many flavours: linear and nonlinear; unconstrained and constrained; convex and non-convex; continuous and discrete; deterministic and stochastic. The fundamentals of optimization are studied in the core Operational Research MSc course of that name, but it is not possible to cover all the many variants of the subject, even though each is critical to the solution of some practical problem. Topics in Optimization will study the mathematics of a range of optimization problems and their application. |
Course description |
This course will study the mathematics of a range of optimization problems and their application. The syllabus will vary from year to year. Possible topics include:
- Unconstrained optimization
- Nonlinear constrained optimization
- Stochastic optimization
- Mixed-integer optimization
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Course Delivery Information
Not being delivered |
Learning Outcomes
On completion of this course, the student will be able to:
- identify the mathematical nature of a given optimization problem
- analyse a range of classes of optimization problems
- identify solution methods for the optimization problems studied
- identify suitable software to solve the optimization problems studied
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Reading List
S. Boyd and L. Vandenberghe, Convex Optimization, CUP
R. Fletcher, Practical Methods of Optimization, Wiley
Nocedal and S. J. Wright, Numerical Optimization, Springer
L. A. Wolsey, Integer Programming, Wiley |
Additional Information
Graduate Attributes and Skills |
Not entered |
Keywords | TAO,Optimization,Applications |
Contacts
Course organiser | Dr Andreas Grothey
Tel: (0131 6)50 5747
Email: Andreas.Grothey@ed.ac.uk |
Course secretary | Miss Gemma Aitchison
Tel: (0131 6)50 9268
Email: Gemma.Aitchison@ed.ac.uk |
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