LANS Informal Seminar: Vasileios Kalantzis
Vasileios Kalantzis, PhD Candidate, University of Minnesota: Beyond AMLS: Domain decomposition with rational filtering
Vasileios Kalantzis, PhD Candidate, University of Minnesota: Beyond AMLS: Domain decomposition with rational filtering
Peter E. Larsen, Assistant Computational Biologist, Biosciences Division, ANL: Modeling Host-Microbime Interactions
Jan Huckelheim, Postdoctoral Researcher, Imperial College, London: Reverse-differentiation of shared-memory parallel code
Jiali Wang, Asst. Atmospheric Scientist, Climate & Atmospheric Science Department, EVS Division, ANL: Applications of statistical approaches to the study of climate using large datasets
Daniel Molzahn, Computational Engineer, ES Division, Argonne National Laboratory: Recent Progress in Optimal Power Flow: A Survey of Convex Relaxations and an Algorithm for Robust Feasibility
Zichao (Wendy) Di, Assistant Computational Scientist: Tomographic reconstruction with simultaneous error correction
Carlo Graziani, Computational Scientist: Better Forecasting Through Information Theory
Todd Munson, MCS Division, Argonne National Laboratory, Computational Scientist
The Toolkit for Advanced Optimization: Past, Present, and Future
Mathew Cherukara , Postdoctoral Associate (XSD): 4D X-ray Imaging and Computational Modeling of Lattice Dynamics at the Nanoscale
Ahmad Taha, Assistant Professor, Univ. of Texas at San Antonio: Cherry-Picking Control Nodes and Sensors in Dynamic Networks: Mixed-Integer Programming Formulations, Heuristics, Applications, and Challenges