Note: This is an archived Handbook entry from 2012.
|Dates & Locations:|| |
This subject is not offered in 2012.
|Time Commitment:||Contact Hours: 24 hours; Non-contact time commitment: 96 hours |
Total Time Commitment: 120 hours
|Prerequisites:|| Enrolment in a research higher degree(Masters or PhD) in Engineering |
|Recommended Background Knowledge:||None|
|Non Allowed Subjects:||None|
|Core Participation Requirements:||For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Description, Subject Objectives, Generic Skills and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the disability support scheme can be found at the Disability Liaison Unit website: http://www.services.unimelb.edu.au/disability/|
Dr. Marcus Brazil
|Subject Overview:||The course covers the foundations of convex optimisation. Topics will be selected from: convex sets and convex functions, convex optimisation problems, duality, unconstrained optimisation algorithms, constrained optimisation algorithms.|
|Objectives:||The aim of this subject is to give students a rigorous introduction to the mathematical tools of optimisation, as used across all of science, and particularly in engineering design. There will be an emphasis on both the theory and applications of optimisation techniques.|
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
Master of Philosophy - Engineering |
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