Celis, M.R.Dennis, J.E. Jr.2018-06-182018-06-181984-09Celis, M.R. and Dennis, J.E. Jr.. "A Trust Region Strategy for Nonlinear Equality Constrained Optimization." (1984) <a href="https://hdl.handle.net/1911/101573">https://hdl.handle.net/1911/101573</a>.https://hdl.handle.net/1911/101573Many current algorithms for nonlinear constrained optimization problems determine a direction by solving a quadratic programming subproblem. The global convergence properties are addressed by using a line search technique and a merit function to modify the length of the step obtained from the quadratic program. In constrained optimization, trust regions strategies have been very successful. In this paper we present a new approach for equality constrained optimization problems based on a trust region strategy. The direction selected is not necessarily the solution of the standard quadratic programming subproblem.15 ppengTechnical reportTR84-01