MS 5: On-the-fly Model Modification, Error Control, and Simulation Adaptivity

Large-scale simulations of complex systems aim at achieving (1) high accuracy in terms of systematic errors, (2) high precision in terms of stochastic errors and (3) an efficient use of limited resources in terms of computational power and available data. The competing nature of these objectives requires trade-offs within the triangle spanned by the three targets (1)-(3). In this mini-symposium, we will explore recent advances in handling these trade-offs. In particular, the talks will cover topics in classical scientific computing (accuracy vs. resources), uncertainty quantification (precision vs. resources) and stochastic modeling (precision vs. accuracy).