Courses Handbook 2008 - [ Archived ]

6121 (v.5) Advanced Optimisation Techniques 501


Area: Department of Mathematics and Statistics
Credits: 25.0
Contact Hours: 3.0
** The tuition pattern below provides details of the types of classes and their duration. This is to be used as a guide only. For more precise information please check your unit outline. **
Lecture: 3 x 1 Hours Weekly
Syllabus: Linear programming: duality, the dual simplex algorithm, the revised simplex algorithm, decomposition techniques for large scale linear programs. Integer programming: applications, techniques of cutting planes, implicit enumeration and Branch and Bound (BB). Non-linear programming: introduction to basic theory.
** To ensure that the most up-to-date information about unit references, texts and outcomes appears, they will be provided in your unit outline prior to commencement. **
Field of Education: 020305 Systems Analysis and Design
SOLT (Online) Definitions*: Informational
*Extent to which this unit or thesis utilises online information
Result Type: Grade/Mark

Availability

Availability Information has not been provided by the respective School or Area. Prospective students should contact the School or Area listed above for further information.

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