386 citations · 2.1k across the 25 of their papers we have counts for
27 papers
Understanding viscoelastic flow instabilities: Oldroyd-B and beyond
Hugo A. Castillo Sanchez, Mihailo R. Jovanovic, Satish Kumar +4
The Oldroyd-B model has been used extensively to predict a host of instabilities in shearing flows of viscoelastic fluids, often realized experimentally using polymer solutions. Th…
Model-based design of riblets for turbulent drag reduction
Wei Ran, Armin Zare, Mihailo R. Jovanović
Both experiments and direct numerical simulations have been used to demonstrate that riblets can reduce turbulent drag by as much as , but their systematic design remains an…
Global exponential stability of primal-dual gradient flow dynamics based on the proximal augmented Lagrangian: A Lyapunov-based approach
Dongsheng Ding, Mihailo R. Jovanović
For a class of nonsmooth composite optimization problems with linear equality constraints, we utilize a Lyapunov-based approach to establish the global exponential stability of the…
Stochastic dynamical modeling of turbulent flows
Armin Zare, Tryphon T. Georgiou, Mihailo R. Jovanović
Advanced measurement techniques and high performance computing have made large data sets available for a wide range of turbulent flows that arise in engineering applications. Drawi…
Fast Multi-Agent Temporal-Difference Learning via Homotopy Stochastic Primal-Dual Optimization
Dongsheng Ding, Xiaohan Wei, Zhuoran Yang +2
We study the policy evaluation problem in multi-agent reinforcement learning where a group of agents, with jointly observed states and private local actions and rewards, collaborat…
Robustness of accelerated first-order algorithms for strongly convex optimization problems
Hesameddin Mohammadi, Meisam Razaviyayn, Mihailo R. Jovanović
We study the robustness of accelerated first-order algorithms to stochastic uncertainties in gradient evaluation. Specifically, for unconstrained, smooth, strongly convex optimizat…