Speaker: Haoxiang Yang, Center for Nonlinear Studies, Los Alamos National Laboratory Date/Time: August 13, 2019, 12:00pm-1:00pm Location: Bahen Centre, Room 1220 Abstract: A stochastic disruption is a type of infrequent event in which the timing and the magnitude are random. We introduce the concept of stochastic disruptions and a stochastic optimization framework is proposed for […]

Speaker: Gustavo Angulo, Pontificia Universidad Católica de Chile Date/Time: August 20, 2019, 12:00pm-1:00pm Location: Bahen Centre, Room 1240 Abstract: The lexicographic order can be used to force a collection of decision vectors to be all different, i.e., to take on different values in some coordinates. We consider the set of fixed-size matrices with bounded integer […]

Antoine Deza (McMaster University) Abstract The simplex and interior point methods are currently the most computationally successful algorithms for linear optimization. While the simplex methods follow an edge path, the interior point methods follow the central path. The algorithmic issues are closely related to the combinatorial and geometric structure of the feasible region. Focusing on the analysis […]

Amin Khademi, Clemson University Abstract Identifying the right dose is one the most important decisions in drug development. Significant evidence has recently become available that emphasizes the role of patient covariates in optimal dose, i.e., a dose that is optimal for a patient group may be harmful for others. A key step towards personalized (precision) […]

Andrew C. Trapp (Worcester Polytechnic Institute) Abstract: Tens of thousands of refugees are resettled yearly from refugee camps to host countries. Local areas that host refugees are reluctant to open capacity, and most impose tight restrictions on the refugee family types they accept. We model this matching challenge as a 0-1 knapsack variant and explore […]