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 LPs. Integer programming - applications, techniques of cutting planes, implicit enumeration and Branch and Bound. 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 |
Funding Cluster: | 06 - Computing, Built Environment, Health |
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. | |
Curtin University of Technology
To report errors on this website please use: Contact Us
Copyright and Disclaimer
Content Last Modified: January 15, 2007
Curtin University of Technology, Perth CRICOS Provider Code 00301J
The Sydney Campus of Curtin University of Technology CRICOS Provider Code 02637B