LANS Informal Seminar: Andreas Grothey
Andreas Grothey, Senior Lecturer, University of Edinburgh: Optimization and Exascale Computing
Andreas Grothey, Senior Lecturer, University of Edinburgh: Optimization and Exascale Computing
Andreas Grothey, Senior Lecturer, University of Edinburgh: Interior Point warmstarts and stochastic programming
Ryan Whalen, JD and PhD student at Northwestern University: Legal Complexity: Measuring complexity within the Supreme Court precedent network and predicting network growth
Ning Liu, Research Aide, MCS: Designing and Understanding Future Storage System
Genady Gregory Yoffe, Department of Mathematics, Statistics, and Computer Science, University of Illinois at Chicago: Evaluating polynomials in several variables and their derivatives on a GPU computing processor
Yasuhide Fukumoto , Institute of Mathematics for Industry, Kyushu University, Japan: Kinematic variational principle for vortical structure of Euler flows
Justin M Wozniak, Assistant Computer Scientist, MCS: Swift/T: Scalable dataflow programming for composite applications
O. Anatole von Lilienfeld, Assistant Computational Scientist, LCF : Towards the Quantum Machine: Fast and accurate modeling of quantum chemical properties using machine learning
Aaron Knoll, Postdoctoral Appointee, MCS: Nanovol: A Volumetric Visualization and Analysis Framework for Chemical Materials Science
Anne-Sophie Crelot, PhD fellow, University of Namur : Simulation-based optimization in engineering: from hybrid derivative-free methods to MINLP and MVP.