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November 2021
ALOP-Colloquium with Daniel Aloise, Polytechnique Montréal
On Monday, November 8, 2021 at 16:00 c.t. Dr. Daniel Aloise, Polytechnique Montréal will present his recent work at our colloquium. Title: Convex fuzzy k-medoids clustering Abstract: K-medoids clustering is among the most popular methods for cluster analysis, but it carries several assumptions about the nature of the latent clusters. In this work, we introduce the Convex Fuzzy k -Medoids (CFKM) model, whose underlying formulation not only relaxes the assumption that objects must be assigned entirely to one and only one…
Find out more »ALOP-Colloquium with Sungho Shin, University of Wisconsin-Madison
On Monday, November 15, 2021, at 16:00 c.t., Ph.D. candidate Sungho Shin, University of Madison-Wisonsin will speak about his recent work: Title: Graph-Structured Nonlinear Programming: Properties and Algorithms A graph-structured nonlinear program (NLP) is a nonlinear optimization problem whose algebraic structure is induced by a graph. These problems arise in diverse applications such as dynamic optimization (model predictive control and moving horizon estimation), network optimization (energy systems and supply chain), optimization with embedded discretized partial differential equations, and…
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