5 papers
WSINDy for Model Predictive Control with Applications to Fusion, Drones, and Chaos
Cristian López, Mckenna Partridge, Sebastian De Pascuale +4
The control of complex dynamical systems remains a fundamental challenge in science and engineering, where strong nonlinearities, the presence of noise, and computational constrain…
A Bifidelity Proximal Quasi-Newton Method for Dense Rigid Body Suspension Collision Resolution
Nicholas Rummel, Tyler Jensen, Stephen Becker +1
Direct numerical simulation of dense rigid body suspensions poses significant computational challenges. A popular approach to resolve collisions necessitates solving a linear compl…
In Situ Training of Implicit Neural Compressors for Scientific Simulations via Sketch-Based Regularization
Cooper Simpson, Stephen Becker, Alireza Doostan
Focusing on implicit neural representations, we present a novel in situ training protocol that employs limited memory buffers of full and sketched data samples, where the sketched…
Stochastic Subspace Descent Accelerated via Bi-fidelity Line Search
Nuojin Cheng, Alireza Doostan, Stephen Becker
Efficient optimization remains a fundamental challenge across numerous scientific and engineering domains, especially when objective function and gradient evaluations are computati…
Online randomized interpolative decomposition with a posteriori error estimator for temporal PDE data reduction
Angran Li, Stephen Becker, Alireza Doostan
Traditional low-rank approximation is a powerful tool to compress the huge data matrices that arise in simulations of partial differential equations (PDE), but suffers from high co…