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