{
  "id": "1603.05792",
  "version": "v1",
  "published": "2016-03-18T08:39:29.000Z",
  "updated": "2016-03-18T08:39:29.000Z",
  "title": "An iterative Bregman regularization method for optimal control problems with inequality constraints",
  "authors": [
    "Frank Pörner",
    "Daniel Wachsmuth"
  ],
  "categories": [
    "math.OC"
  ],
  "abstract": "We study an iterative regularization method of optimal control problems with control constraints. The regularization method is based on generalized Bregman distances. We provide convergence results under a combination of a source condition and a regularity condition on the active sets. We do not assume attainability of the desired state. Furthermore, a-priori regularization error estimates are obtained.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2016-03-18T08:39:29.000Z"
    }
  ],
  "analyses": {
    "subjects": [
      "49K20",
      "49N45",
      "65K10"
    ],
    "keywords": [
      "optimal control problems",
      "iterative bregman regularization method",
      "inequality constraints",
      "a-priori regularization error estimates",
      "bregman distances"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable",
      "adsabs": "2016arXiv160305792P"
    }
  }
}