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20162022
most citedSequential Quadratic Optimization for Nonlinear Equality Constrained Stochastic Optimization

6 citations · 26 across the 12 of their papers we have counts for

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math.OC2022

Worst-Case Complexity of TRACE with Inexact Subproblem Solutions for Nonconvex Smooth Optimization

Frank E. Curtis, Qi Wang

An algorithm for solving nonconvex smooth optimization problems is proposed, analyzed, and tested. The algorithm is an extension of the Trust Region Algorithm with Contractions and…

math.OC20224 cited

Worst-Case Complexity of an SQP Method for Nonlinear Equality Constrained Stochastic Optimization

Frank E. Curtis, Michael J. O'Neill, Daniel P. Robinson

A worst-case complexity bound is proved for a sequential quadratic optimization (commonly known as SQP) algorithm that has been designed for solving optimization problems involving…

math.OC20211 cited

A Decomposition Algorithm for Large-Scale Security-Constrained AC Optimal Power Flow

Frank E. Curtis, Daniel K. Molzahn, Shenyinying Tu +3

A decomposition algorithm for solving large-scale security-constrained AC optimal power flow problems is presented. The formulation considered is the one used in the ARPA-E Grid Op…

math.OC20214 cited

Inexact Sequential Quadratic Optimization for Minimizing a Stochastic Objective Function Subject to Deterministic Nonlinear Equality Constraints

Frank E. Curtis, Daniel P. Robinson, Baoyu Zhou

An algorithm is proposed, analyzed, and tested experimentally for solving stochastic optimization problems in which the decision variables are constrained to satisfy equations defi…

math.OC2020

Practical Optimal Control of a Wave-Energy Converter in Regular Wave Environments

Mertcan Yetkin, Sudharsan Kalidoss, Frank E. Curtis +2

A generic formulation for the optimal control of a single wave-energy converter (WEC) is proposed. The formulation involves hard and soft constraints on the motion of the WEC to pr…

math.OC2020

A Subspace Acceleration Method for Minimization Involving a Group Sparsity-Inducing Regularizer

Frank E. Curtis, Yutong Dai, Daniel P. Robinson

We consider the problem of minimizing an objective function that is the sum of a convex function and a group sparsity-inducing regularizer. Problems that integrate such regularizer…