{"product_id":"9783110204209","title":"Iterative Regularization Methods for Nonlinear Ill-Posed Problems","description":" \u003cmeta http-equiv=\"content-type\" content=\"text\/html; charset=iso-8859-1\"\u003e  \u003cbr\u003eNonlinear inverse problems appear in many applications, and typically they lead to mathematical models that are ill-posed, i.e., they are unstable under data perturbations. Those problems require a regularization, i.e., a special numerical treatment. This book presents regularization schemes which are based on iteration methods, e.g., nonlinear Landweber iteration, level set methods, multilevel methods and Newton type methods.  ","brand":"De Gruyter","offers":[{"title":"Default Title","offer_id":47035006746864,"sku":"9783110204209","price":182.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9783110204209_p0.jpg?v=1763714967","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9783110204209","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}