Schedule for Math 591: Real Algebraic Geometry and Convex Optimization (Spring 2019)

Schedule
01/08/19: Introduction/Tour
01/10/19: Convexity basics: see Barvinok (I.1, II.1-3)
01/15/19: Cones and duality: see Barvinok (IV.1,3,5)
01/17/19: The cone of positive semidefinite matrices: see Barvinok (II.12)
01/22/19: PSD cone (cont'd) and nonnegative polynomials
01/24/19: Convex optimization basics: for more, see Boyd, Vandenberge
01/29/19: Algebraic geometry basics: for more, see Cox, Little, O'Shea
01/31/19: Certifying nonnegativity and the Positivstellensatz: for more, see Blekherman, Parrilo, Thomas, Chapters 3, 4
02/05/19: Sums of squares and SDPs: for more, see Blekherman, Parrilo, Thomas, Chapter 3
02/07/19: The dual perspective: moments: for more, see Blekherman, Parrilo, Thomas, Chapter 3.5
02/12/19: Combinatorial optimization and SDPs (an application to MAXCUT) (Guest lecturer: Dávid Papp)
02/14/19: Combinatorial optimization and SOS (an application to stable sets): for more, see Blekherman, Parrilo, Thomas, Chapter 7
02/19/19: Approximating convex hulls of varieties with theta bodies: for more, see Blekherman, Parrilo, Thomas, Chapter 7
02/21/19: Overview of sums of squares and moments: SOS in M2 (Examples), SOS in Matlab
02/28/19: Matrix completion and spectrahedra: for more, see Barvinok (II.13)
03/01/19: Matrix completion and graph realizability: for more, see Barvinok (II.13,15)
03/05/19: Algebraic boundaries and duality: for more, see Blekherman, Parrilo, Thomas, Chapter 5
03/07/19: Algebraic boundaries and optimization: for more, see Blekherman, Parrilo, Thomas, Chapter 5, (Examples)
03/19/19: Spectrahedra and hyperbolic polynomials: for more, see Pemantle

Resources
Semidefinite Optimization and Convex Algebraic Geometry, Editors: Grigoriy Blekherman, Pablo A. Parrilo and Rekha R. Thomas, 2012.
A Course in Convexity, by Alexander Barvinok, 2002.
Convex Optimization, by Stephen Boyd and Lieven Vandenberge, 2004.
Ideals, Varieties, and Algorithms, by David Cox, John Little, Donal O'Shea, 2015
Hyperbolicity and stable polynomials in combinatorics and probability, notes by Robin Pemantle