310503 (v.2) Numerical Optimisation 301
| Area: | Department of Mathematics and Statistics |
|---|---|
| Credits: | 25.0 |
| Contact Hours: | 4.0 |
| Tuition Patterns: | The tuition pattern provides details of the types of classes and their duration. This is to be used as a guide only. Precise information is included in the unit outline. |
| Lecture: | 1 x 3 Hours Weekly |
| Tutorial: | 1 x 1 Hours Weekly |
| Prerequisite(s): |
8127 (v.6)
Advanced Calculus 201
or any previous version
OR 8648 (v.3) Mathematical Methods 201 or any previous version |
| Syllabus: | Optimisation models. One-dimensional search techniques. Unconstrained optimisation techniques for functions with several variables, including search methods using function values only, steepest descent method, Newton's method; quasi-Newton's methods, conjugate gradient methods, accurate and inaccurate line searches, convergence and rate of convergence. Constrained optimisation techniques, including Lagrangian multipliers, Kuhn-Tucker optimality conditions, penalty function methods, quadratic programming techniques, sequential quadratic programming technique. Dynamic programming. Branch and bound methods. |
| Unit references, texts, outcomes and assessment details | The most up-to-date information about unit references, texts and outcomes, will be provided in the unit outline. |
| Field of Education: | 010101 Mathematics |
| Result Type: | Grade/Mark |
Availability
No current availability exists. It may that this is planned for a future year or a decision has been made to not offer it currently. Contact the School or Area listed above for further information.
Handbook Disclaimer
The online handbook is the repository of Curtin University of Technology (“Curtin”) course information. While Curtin makes all reasonable endeavors to keep its online courses handbook up-to-date, information within this website is subject to change from time to time. Curtin reserves the right to change the contents and/or the method of assessment, to change or alter tuition fees of any unit of study, to withdraw/any unit of study or program which it offers, to impose limitations on enrolment in any unit or program, and/or to vary arrangements for any program without notification via the website.
For course overviews and enrolment information please visit our future students website.
