Postgraduate Course: Large Scale Optimization (MATH11032)
Course Outline
| School | School of Mathematics |
College | College of Science and Engineering |
| Course type | Standard |
Availability | Available to all students |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Credits | 10 |
| Home subject area | Mathematics |
Other subject area | Operational Research |
| Course website |
http://student.maths.ed.ac.uk |
Taught in Gaelic? | No |
| Course description | Implementation of the revised simplex method; interior point methods for linear, quadratic and nonlinear optimization; sparse matrix techniques in optimization; decomposition methods: Benders and Dantzig-Wolfe decompositions; Newton method, self-concordant barriers, semidefinite programming; Applications of mathematical programming in finance, telecommunications, energy sector. |
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
| Additional Costs | None |
Information for Visiting Students
| Pre-requisites | None |
| Displayed in Visiting Students Prospectus? | Yes |
Course Delivery Information
| Not being delivered |
Summary of Intended Learning Outcomes
| Understanding of practical methods of large-scale optimization and their modern implementations. Awareness of the practical complexity of the problems. Ability to model real-life problems as optimization problems. Ability to develop and implement an optimization technique. |
Assessment Information
| Coursework 5%; examination 95% |
Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
Not entered |
| Transferable skills |
Not entered |
| Reading list |
Not entered |
| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords | LSO |
Contacts
| Course organiser | Prof Jacek Gondzio
Tel: (0131 6)50 8574
Email: J.Gondzio@ed.ac.uk |
Course secretary | Mrs Frances Reid
Tel: (0131 6)50 4883
Email: f.c.reid@ed.ac.uk |
|
|
University Homepage