{"id":{"repo_id":"gmu","oai_identifier":"oai:MARS:1920/11279"},"canonical_url":"https://search.dev.ndltd.org/etd/gmu/oai:MARS:1920/11279","repository":{"repo_id":"gmu","name":"George Mason University","base_url":"https://mars.gmu.edu/server/oai/request"},"display":{"title":"Function Space Nonlinear Rescaling Methods for Elliptic Control Problems with Point-wise State and Control Constraints","abstract":"State inequality constraints in PDE Constrained Optimization (PDECO) arise in many areas of science and engineering. Unfortunately these constraints, and the resulting Lagrange multipliers, are known to negatively influence the behavior of many existing optimization methods.","abstract_html":"State inequality constraints in PDE Constrained Optimization (PDECO) arise in many areas of science and engineering. Unfortunately these constraints, and the resulting Lagrange multipliers, are known to negatively influence the behavior of many existing optimization methods.","abstract_has_math":false,"creators":["Mejeur, Joel M."],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2017,"date_issued":"2017","date_published":"2017","updated_at":"2026-07-27T19:52:06Z","subjects":["Applied mathematics","Augmented Lagrangian","Control Constraints","Elliptic Control","Nonlinear Rescaling","PDE Constrained Optimization","State Constraints"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["hdl:1920/11279"],"render_values":[{"text":"hdl:1920/11279","href":null,"code":true}]}]},"links":{"outbound_url":null,"outbound_label":null,"outbound_source":null},"metadata_groups":[{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.issued","label":"Date","values":["2017"]},{"key":"dc:type","label":"Dc Type","values":["Dissertation"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Applied mathematics","Augmented Lagrangian","Control Constraints","Elliptic Control","Nonlinear Rescaling","PDE Constrained Optimization","State Constraints"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["hdl:1920/11279"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.other","label":"Dc Description Other","values":["State inequality constraints in PDE Constrained Optimization (PDECO) arise in many areas of science and engineering. Unfortunately these constraints, and the resulting Lagrange multipliers, are known to negatively influence the behavior of many existing optimization methods."]},{"key":"dc:title","label":"Title","values":["Function Space Nonlinear Rescaling Methods for Elliptic Control Problems with Point-wise State and Control Constraints"]}]}],"canonical_facts":{"dc:date.issued":["2017"],"dc:description.other":["State inequality constraints in PDE Constrained Optimization (PDECO) arise in many areas of science and engineering. Unfortunately these constraints, and the resulting Lagrange multipliers, are known to negatively influence the behavior of many existing optimization methods."],"dc:identifier":["hdl:1920/11279"],"dc:subject":["Applied mathematics","Augmented Lagrangian","Control Constraints","Elliptic Control","Nonlinear Rescaling","PDE Constrained Optimization","State Constraints"],"dc:title":["Function Space Nonlinear Rescaling Methods for Elliptic Control Problems with Point-wise State and Control Constraints"],"dc:type":["Dissertation"]},"updated_at":"2026-07-27T19:52:06Z"}