MATH412-17S1 (C) Semester One 2017

Optimization

15 points

Details:
Start Date: Monday, 20 February 2017
End Date: Sunday, 25 June 2017
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Friday, 3 March 2017
  • Without academic penalty (including no fee refund): Friday, 19 May 2017

Description

Techniques for optimising smooth functions both with and without constraints present.

This course looks at the minimization of smooth functions of several variables. The first part of the course examines gradient based methods using line searches, including Newton, quasi-Newton, and conjugate gradient methods. A selection of other topics is then introduced, including trust region methods and methods for constrained optimization. Demonstration software is used to illustrate aspects of various algorithms in practice.


For a full list of Honours courses, please refer to the School of Mathematics and Statistics Honours Booklet Mathematics and Statistics Honours Booklet

Prerequisites

Subject to approval of the Head of School.

Restrictions

Course Coordinator

Rachael Tappenden

Indicative Fees

Domestic fee $932.00

* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.

For further information see Mathematics and Statistics .

All MATH412 Occurrences

  • MATH412-17S1 (C) Semester One 2017
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