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20082026
most citedMaximal monotonicity, conjugation and the duality product

92 citations · 106 across the 19 of their papers we have counts for

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18 papers · 1 filter

math.OC2026

A Primal--Dual Penalty Algorithm and Optimal Control of the Double Integrator

Regina S. Burachik, C. Yalçın Kaya, Xuemei Liu

We investigate the behaviour of a primal--dual penalty scheme applied to all possible instances, i.e., boundary conditions, of an optimal control problem involving the double integ…

math.OC2026

Best Approximation Optimal Control for Infeasible Double Integrator and Douglas--Rachford Algorithm

Regina S. Burachik, Bethany I. Caldwell, C. Yalçın Kaya +1

We consider the problem of finding (in some sense) the best approximation control for an infeasible double integrator. The control function is constrained by upper and lower bounds…

math.OC2024

Infeasible and Critically Feasible Optimal Control

Regina S. Burachik, C. Yalçın Kaya, Walaa M. Moursi

We consider optimal control problems involving two constraint sets: one comprised of linear ordinary differential equations with the initial and terminal states specified and the o…

math.OC2024

Douglas-Rachford Algorithm for Control- and State-constrained Optimal Control Problems

Regina S. Burachik, Bethany I. Caldwell, C. Yalçın Kaya

We consider the application of the Douglas-Rachford (DR) algorithm to solve linear-quadratic (LQ) control problems with box constraints on the state and control variables. We split…

math.OC2023

A primal--dual algorithm as applied to optimal control problems

Regina S. Burachik, C. Yalçın Kaya, Xuemei Liu

We propose a primal--dual technique that applies to infinite dimensional equality constrained problems, in particular those arising from optimal control. As an application of our g…

math.OC2023

Optimal Control Duality and the Douglas-Rachford Algorithm

Regina S. Burachik, Bethany I Caldwell, C. Yalçın Kaya +1

We explore the relationship between the dual of a weighted minimum-energy control problem, a special case of linear-quadratic optimal control problems, and the Douglas-Rachford (DR…

math.OC2023

An Inexact Deflected Subgradient Algorithm in Infinite Dimensional spaces

Regina S. Burachik, Xuemei Liu

We propose a duality scheme for solving constrained nonsmooth and nonconvex optimization problems in a reflexive Banach space. We establish strong duality for a very general type o…

math.OC2022★ 1 cited

Douglas--Rachford algorithm for control-constrained minimum-energy control problems

Regina S. Burachik, Bethany I. Caldwell, C. Yalçın Kaya

Splitting and projection-type algorithms have been applied to many optimization problems due to their simplicity and efficiency, but the application of these algorithms to optimal…

math.OC2022★ 1 cited

Single-Projection Procedure for Infinite Dimensional Convex Optimization Problems

Hoa T. Bui, Regina S. Burachik, Evgeni A. Nurminski +1

In this work, we consider a class of convex optimization problems in a real Hilbert space that can be solved by performing a single projection, i.e., by projecting an infeasible po…

math.OC2022★ 1 cited

On the Douglas-Rachford and Peaceman-Rachford algorithms in the presence of uniform monotonicity and the absence of minimizers

Regina S. Burachik, Bethany I. Caldwell, C. Yalçın Kaya +2

The Douglas-Rachford and Peaceman-Rachford algorithms have been successfully employed to solve convex optimization problems, or more generally find zeros of monotone inclusions. Re…

math.OC2020

Sparse Network Optimization for Synchronization

Regina S. Burachik, Alexander C. Kalloniatis, C. Yalçın Kaya

We propose new mathematical optimization models for generating sparse dynamical graphs, or networks, that can achieve synchronization. The synchronization phenomenon is studied usi…

math.OC2020

On Dykstra's algorithm: finite convergence, stalling, and the method of alternating projections

Heinz H. Bauschke, Regina S. Burachik, Daniel B. Herman +1

A popular method for finding the projection onto the intersection of two closed convex subsets in Hilbert space is Dykstra's algorithm. In this paper, we provide sufficient conditi…

math.OC2019

Steklov Convexification and a Trajectory Method for Global Optimization of Multivariate Quartic Polynomials

Regina S. Burachik, C. Yalçın Kaya

The Steklov function is defined to average a continuous function at each point of its domain by using a window of size given by . It has traditionally been…

math.OC2019

Algorithms for Generating Pareto Fronts of Multi-objective Integer and Mixed-Integer Programming Problems

Regina S. Burachik, C. Yalçın Kaya, M. Mustafa Rizvi

Multi-objective integer or mixed-integer programming problems typically have disconnected feasible domains, making the task of constructing an approximation of the Pareto front cha…

math.OC2018

Steklov Regularization and Trajectory Methods for Univariate Global Optimization

Orhan Arıkan, Regina S. Burachik, C. Yalçın Kaya

We introduce a new regularization technique, using what we refer to as the Steklov regularization function, and apply this technique to devise an algorithm that computes a global m…

math.OC2018

Constraint Splitting and Projection Methods for Optimal Control of Double Integrator

Heinz H. Bauschke, Regina S. Burachik, C. Yalçın Kaya

We consider the minimum-energy control of a car, which is modelled as a point mass sliding on the ground in a fixed direction, and so it can be mathematically described as the doub…

math.OC2016

A projection algorithm for non-monotone variational inequalities

Regina S. Burachik, R. Díaz Millán

We introduce and study the convergence properties of a projection-type algorithm for solving the variational inequality problem for point-to-set operators. No monotoni\-city assump…

math.OC2015

An additive subfamily of enlargements of a maximally monotone operator

Regina Burachik, Juan Enrique Martínez-Legaz, Mahboubeh Rezaie +1

We introduce a subfamily of additive enlargements of a maximally monotone operator. Our definition is inspired by the early work of Simon Fitzpatrick. These enlargements constitute…