Speaker

Murray Marshall

University of Saskatchewan, Saskatoon

<b> Part 1:</b> Polynomial optimization via semidefinite programming

Part 1: Polynomial optimization via semidefinite programming

1. General representation theorem for partially ordered commutative rings.
2. The locally convex topology on $R[X]/I$. Duality theorem for convex cones.
3. Multi-dimensional moment problem. Moment sequences.
4. Optimization via semidefinite programming (global, on an algebraic set, on a basic closed semialgebraic set).
5. Stability questions.

Part 2: Optimization of a quadratic polynomial on the discrete hypercube

1. Goemans-Williamson error estimate.
2. Nesterov's error estimates.
3. Other error estimates.
4. Open problem.