LANS Informal Seminar: Simon Scheidegger
Simon Scheidegger, Postdoctoral Researcher, Department of Banking and Finance, University of Zurich: Using Adaptive Sparse Grids to Solve High-Dimensional Dynamic Models
Simon Scheidegger, Postdoctoral Researcher, Department of Banking and Finance, University of Zurich: Using Adaptive Sparse Grids to Solve High-Dimensional Dynamic Models
Peter Brune, Postdoctoral Appointee, MCS, Argonne National Laboratory: Robust Solvers for Emerging Challenges in Computational Science
Victor Zavala, Assistant Computational Mathematician: Stochastic Optimal Control Framework for Natural Gas Network Operations
Todd Munson, Computational Scientist: A SLPEC/EQP Method for MPECs
Igor Cialenco, Associate Professor, Department of Applied Mathematics, Illinois Institute of Technology: Statistical inference problems for (nonlinear) Stochastic PDEs
Miles Lubin, Ph.D. Student, Operations Research, Massachusetts Institute of Technology: Computing in Optimization using Julia
Catherine Olschanowsky, Assistant Professor, Colorado State University: Experiences in Manually Tuning for Parallelism and Data Locality in a Combustion Benchmark
Shrirang Abhyankar, Postdoctoral Appointee, MCS, Argonne National Laboratory: Dynamics Constrained Optimization of Electrical Power Systems
Hong Zhang, Consultant, MCS, Argonne National Laboratory: Hierarchical Krylov and Nested Krylov Methods using PETSc for Extreme-Scale Computing
Paul G. Constantine, Assistant Professor of Applied Mathematics and Statistics, Colorado School of Mines: Active subspace methods for high-dimensional response surfaces