2 papers
math.NA2020
Stochastic Gradient Descent for Semilinear Elliptic Equations with Uncertainties
Ting Wang, Jaroslaw Knap
Randomness is ubiquitous in modern engineering. The uncertainty is often modeled as random coefficients in the differential equations that describe the underlying physics. In this…
physics.comp-ph2019
Accelerated scale bridging with sparsely approximated Gaussian learning
Ting Wang, Kenneth W. Leiter, Petr Plechac +1
Multiscale modeling is a systematic approach to describe the behavior of complex systems by coupling models from different scales. The approach has been demonstrated to be very eff…