14 citations · 15 across the 5 of their papers we have counts for
4 papers · 1 filter
Accelerated Algorithms for a Class of Optimization Problems with Constraints
Anjali Parashar, Priyank Srivastava, Anuradha M. Annaswamy
This paper presents a framework to solve constrained optimization problems in an accelerated manner based on High-Order Tuners (HT). Our approach is based on reformulating the orig…
Nesterov Acceleration for Equality-Constrained Convex Optimization via Continuously Differentiable Penalty Functions
Priyank Srivastava, Jorge Cortes
We propose a framework to use Nesterov's accelerated method for constrained convex optimization problems. Our approach consists of first reformulating the original problem as an un…
Solving Linear Equations with Separable Problem Data over Directed Networks
Priyank Srivastava, Jorge Cortes
This paper deals with linear algebraic equations where the global coefficient matrix and constant vector are given respectively, by the summation of the coefficient matrices and co…
Network Optimization via Smooth Exact Penalty Functions Enabled by Distributed Gradient Computation
Priyank Srivastava, Jorge Cortes
This paper proposes a distributed algorithm for a network of agents to solve an optimization problem with separable objective function and locally coupled constraints. Our strategy…