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Details of Grant 

EPSRC Reference: GR/S34472/01
Title: STIFFNESS AND COMPLEXITY IN NUMERICAL OPTIMISATION
Principal Investigator: Hauser, Dr R
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Department: Computer Science
Organisation: University of Oxford
Scheme: First Grant Scheme Pre-FEC
Starts: 05 January 2004 Ends: 04 January 2007 Value (£): 124,243
EPSRC Research Topic Classifications:
Mathematical Aspects of OR Numerical Analysis
EPSRC Industrial Sector Classifications:
No relevance to Underpinning Sectors
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Summary on Grant Application Form
We explore the close relationship between search direction methods in optimisation and forward Euler time stepping. In this framework, search directions that lead to low algorithmic complexity are vector fields that are cheap to compute, have the local solutions of the optimisation problem as their stable attractors and are as nonstiff as possible. We analyse various common search directions in this light. We also show that the power of selfconcordant barrier functions - a central concept in the complexity analysis of convex programming - relies on the fact that they lead to merit functions with particularly nonstiff Newton direction fields. Similar ideas extend to general constrained nonlinear optimisation, where the stiffness of search direction fields has an important influence on the rate at which homotopy parameters should be reduced. The superiority of primal-dual versus primal only interior point methods will also be analysed in this light.
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Organisation Website: http://www.ox.ac.uk