Marcel Mongeau (Université Paul Sabatier, Toulouse)

Partial separability, graph theory, and global optimization
Joint work with A. R. Conn.
Wednesday 12 November 2003 at 15.30, JCMB 6324

Abstract

We present a way of exploiting partial separability in particular global optimization problems. The aim is to reduce significantly the dimension of the search space. The procedure relies on graph theory tools such as graph partitioning with node separators. We illustrate the idea on a distance geometry problem which arise in the interpretation of nuclear magnetic resonance data and in the determination of protein structures.

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