806 Advances and Challenges in Adaptive Approaches for Large-scale Deterministic and Stochastic Problems

 

Adaptive approaches provide a very effective way to perform reliable predictions for complex physical systems. These complex systems span multiple physics and multiple scales, and often possess uncertainty or variability. For such systems, the solution behavior is unknown and involves complicated features such as moving interfaces, boundary layers, chaotic dynamics, etc. This minisymposium will place emphasis on methods and tools that explore error estimation/indication, multilevel approaches, multi-fidelity methods, mesh adaptation, control of numerical errors (and its impact on physical and stochastic modeling), adaptive sampling, high-order discretization and resilient solvers in a fault-prone environment. The focus will be on techniques that tackle large-scale deterministic and stochastic problems including those that are applicable on next generation computing platforms.