LANS Informal Seminar: Luke Olson
Luke Olson, Associate Professor, Department of Computer Science, University of Illinois at Urbana-Champaign: Toward a more robust, data parallel algebraic multigrid method
Luke Olson, Associate Professor, Department of Computer Science, University of Illinois at Urbana-Champaign: Toward a more robust, data parallel algebraic multigrid method
Ken Judd, Hoover Institution, Stanford University: Methods for Solving Large Dynamic Optimization Problems in Economics
Katy Huff, : Peer Education For Scientific Computing
Clayton Webster, Senior Staff Mathematician, Oak Ridge National Lab: An adaptive wavelet stochastic collocation method for irregular solutions of PDEs with random input data
Xiangmin (Jim) Jiao, Assoc Prof, Applied Math & Statistics, Stony Brook University: Unified Discretizations and Solution Techniques for Numerical Computations over Complex Geometries
Lek-Heng Lim , Assistant Professor, Department of Statistics, University of Chicago: Tensors and hypermatrices in physics, chemistry, and optimization
Jed Brown, Argonne Scholar, MCS : Composability, performance, and resilience in multilevel solvers
Jeff Hammond, Assistant Computational Scientist, ALCF: Algorithms and Software for Quantum Chemistry at Petascale and Beyond
Claude Le Bris, Ecole des Ponts and INRIA, France/Visiting Prof. at the Univ. of Chicago: Two mathematical topics in mutiscale science: random composites and metastable states
Mihai Anitescu, Computational Mathematician, MCS: The Multifaceted Mathematics for Complex Energy Systems (M2ACS) Project