This subject presents a range of ideas and methods commonly used in solving various nonlinear optimisation problems in quantitative management and portfolio management. Methods presented include interior point methods for linear programming; Newton's and conjugate direction methods for unconstrained nonlinear programming; feasible direction methods, and penalty and barrier methods for constrained nonlinear programming; and an introduction to stochastic programming.
Spring semester, City campus
2008 contribution for post-2008 Commonwealth-supported students: $907.50
Note: Students who commenced prior to 1 January 2008 should consult the Student contribution charges for Commonwealth supported students
Not all students are eligible for Commonwealth Supported places.
2008 amount for undergraduate domestic fee-paying students: $2,490.00
Note: Fees for Postgraduate domestic fee-paying students and international students are charged according to the course they are enrolled in. Students should refer to the Annual Fees Schedule.
Subject EFTSL: 0.125