2 papers
physics.flu-dyn2025
Analysis of accuracy and efficiency of neural networks to simulate Navier-Stokes fluid flows with obstacles
Rui Hespanha, Elliot McGuire, João Hespanha
Conventional fluid simulations can be time consuming and energy intensive. We researched the viability of a neural network for simulating incompressible fluids in a randomized obst…
math.OC2024
Markov Chain Monte Carlo for Koopman-based Optimal Control: Technical Report
João Hespanha, Kerem Camsari
We propose a Markov Chain Monte Carlo (MCMC) algorithm based on Gibbs sampling with parallel tempering to solve nonlinear optimal control problems. The algorithm is applicable to n…