activity
20162018
most citedThe proximal augmented Lagrangian method for nonsmooth composite optimization

105 citations · 173 across the 4 of their papers we have counts for

collaborators

5 papers

math.OC2018★ 41 cited

Proximal algorithms for large-scale statistical modeling and sensor/actuator selection

Armin Zare, Hesameddin Mohammadi, Neil K. Dhingra +2

Several problems in modeling and control of stochastically-driven dynamical systems can be cast as regularized semi-definite programs. We examine two such representative problems a…

math.OC2017★ 24 cited

Structured decentralized control of positive systems with applications to combination drug therapy and leader selection in directed networks

Neil K. Dhingra, Marcello Colombino, Mihailo R. Jovanović

We study a class of structured optimal control problems in which the main diagonal of the dynamic matrix is a linear function of the design variable. While such problems are in gen…

math.OC2017

A second order primal-dual method for nonsmooth convex composite optimization

Neil K. Dhingra, Sei Zhen Khong, Mihailo R. Jovanović

We develop a second order primal-dual method for optimization problems in which the objective function is given by the sum of a strongly convex twice differentiable term and a poss…

math.OC2016★ 3 cited

On the optimal control problem for a class of monotone bilinear systems

Neil K. Dhingra, Marcello Colombino, Mihailo R. Jovanović +2

We consider a class of monotone systems in which the control signal multiplies the state. Among other applications, such bilinear systems can be used to model the evolutionary dyna…

math.OC2016★ 105 cited

The proximal augmented Lagrangian method for nonsmooth composite optimization

Neil K. Dhingra, Sei Zhen Khong, Mihailo R. Jovanović

We study a class of optimization problems in which the objective function is given by the sum of a differentiable but possibly nonconvex component and a nondifferentiable convex re…