We propose an interactive, optimization-in-the-loop tool for designing inflatable structures.
Given a target shape, the user draws a network of seams defining desired segment …

Sequential quadratic optimization algorithms are proposed for solving smooth nonlinear
optimization problems with equality constraints. The main focus is an algorithm proposed for …

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

The solution of quadratic or locally quadratic extremum problems subject to linear (ized)
constraints gives rise to linear systems in saddle point form. This is true whether in the …

We develop and analyze a trust-region sequential quadratic programming (SQP) method for
the solution of smooth equality constrained optimization problems, which allows the inexact …

We present a line-search algorithm for large-scale continuous optimization. The algorithm is
matrix-free in that it does not require the factorization of derivative matrices. Instead, it uses …

This paper presents a methodology for using varying sample sizes in sequential quadratic
programming (SQP) methods for solving equality constrained stochastic optimization …

Multiple shooting methods for solving optimal control problems have been developed
rapidly in the past decades and are widely considered a promising direction to speed up the …

Fast nonlinear programming methods following the all-at-once approach usually employ
Newton's method for solving linearized Karush–Kuhn–Tucker (KKT) systems. In nonconvex …

We consider solving equality-constrained nonlinear, nonconvex optimization problems. This
class of problems appears widely in a variety of applications in machine learning and …