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Curtin University
Courses Handbook 2011

This handbook contains information for courses and units at Curtin in 2011.
Information for current year courses and units is available at Courses Handbook 2010.

310503 (v.2) Numerical Optimisation 301

Note

Tutition Patterns

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.

Unit references, texts and outcomes

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Area: Department of Mathematics and Statistics
Credits: 25.0
Contact Hours: 4.0
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.
Field of Education: 010101 Mathematics
SOLT (Online) Definitions*: Not Online
*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.