LANS Informal Seminar: Doug Nychka
Doug Nychka, Director of the Institute for Mathematics Applied to Geosciences (IMAGe): Large and non-stationary spatial fields: Quantifying uncertainty in the pattern scaling of climate models
Doug Nychka, Director of the Institute for Mathematics Applied to Geosciences (IMAGe): Large and non-stationary spatial fields: Quantifying uncertainty in the pattern scaling of climate models
Edgar Solomonik, Assistant Professor, Dept. of Computer Science, University of Illinois at Urbana-Champaign: A massively parallel library for matrix and tensor algorithms
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