Title of presentation:

Semidefinite Programming and Some Closest Matrix Approximation Problems

at the 1st Annual McMaster Optimization Conference: Theory and Applications (MOPTA 01), August 2-4, 2001 Hamilton, Ontario;

Abstract (text file):; the presentation (ps file))

This talk is based on several papers; principally, on the papers dealing with completion problems. The paper
Positive definite completions of partial {H}ermitian matrices (GRONE, B. and JOHNSON, C.R. and MARQUES de SA, E. and WOLKOWICZ, H.) presents a characterization for completion using chordality of graphs;
while the three papers:
AN INTERIOR-POINT METHOD FOR APPROXIMATE POSITIVE SEMIDEFINITE COMPLETIONS and
Solving Euclidean distance matrix completion problems via semidefinite programming and Two Theorems On Euclidean Distance Matrices and Gale Transform
present primal-dual interior-point methods/theory for solving approximate completion problems. A summary of these results is presented in
Matrix Completion Problems, in the Handbook of Semidefinite Programming, Kluwer Academic, 2000.

Two additional research reports are in progress.