MAT732: Advanced Topics in Mathematical Programming 6 credits (40-20-0)

Objectives

To overview selected topics in theory of optimisation. The objective is to unify much of the field by use of a few principles of Linear Vector Space Theory. The concepts of distance, orthogonality and convexity play fundamental roles in this development.

Contents

Topics will be chosen from Linear, Integer, Nonlinear, Dynamic and Network flow programming; Combinatorial graph algorithms and Iterative methods of optimization; Global theory of constrained optimization; Optimisation of functionals.