




This is the second section of the course MAT 168, we explain how solvers work. We cover topics such as Branch and bound, cutting planes, heuristics, and computational complexity.


See https://sites.google.com/view/maddd/ for the details.


05/12 presentation by Venkat Chandrasekaran (Caltech)Title: Fitting Convex Sets to DataAbstract: A number of problems in signal processing may be viewed conceptually as fitting a convex set to data.…


Presentation by Yian Ma (UC San Diego) Title: Briding MCMC and OptimizationAbstract: In this talk, I will discuss three ingredients of optimization theory in the context of MCMC: Nonconvexity, …


Name: G. Donald Chakerian Interviewer: Sherman Stein Date Interviewed: 2/23/2006 Date Appointed: 1963 Date Retired: 1994 Department: Mathematics In this conversation Emeritus Professor Donald…
