Applied Math

• Advanced Discretizations Research and Development, Pavel Bochev, Denis Ridzal, and Ulrich Hetmaniuk
• Advanced Modeling and Decomposition Techniques for Large-scale Combinatorial Problems, Cynthia Phillips, Jean-Paul Watson, and Robert Carr
• Analysis of Atomistic-to-Continuum (AtC) Coupling Methods, Rich Lehoucq,
  Pavel Bochev, and Mike Parks
• Controlling Numerical Uncertainty in PDE-constrained Optimization, Denis Ridzal
• Derivative-free Nonlinear Programming, Tamara Kolda and Joshua Griffin
• Improved Information Retrieval, Daniel Dunlavy
• Improved Solvers for Density Functional Theory, Rick Muller, Rich Lehoucq
• Localized Scale Couplilng and New Educational Paradigms in Multiscale Mathematics and Science, Lisa Mondy, Randy Schunk, and Frank Van Swol
• Mathematical Foundations for the Analysis and Simulation of Stochastic PDEs, Clayton Webster
• R-Adaptive Mesh Quality Improvement via the Target-matrix Paradigm, Patrick Knupp, Ulrich Hetmaniuk, and Lori Diachin
• Robust and Scalable Solution Methods for Transport/Reaction and Plasma/MHD Simulations, John Shadid, Roger Pawlowski, Jeffrey Banks, Paul Lin, Ray Tuminaro, and Pavel Bochev
• Scalable Multigrid Solvers, Ray Tuminaro, Jonathan Hu, and Chris Siefert
• Segregated Schur Complement Solvers for Fluid DFTs, Mike Heroux, Laura Frink, and Andy Salinger
• Stochastic Dynamical Systems: Spectral Methods for the Analysis of Dynamics and Predictability, Bert Debusschere, Khachik Sargsyan, and Habib Najm