{"product_id":"iterative-regularization-methods-for-nonlinear-ill-posed-problems","title":"Iterative Regularization Methods for Nonlinear Ill-Posed Problems","description":"\u003cp\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.\u003c\/p\u003e","brand":"De Gruyter","offers":[{"title":"Default Title","offer_id":57335586783576,"sku":"9783110204209","price":203.98,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9783110204209.jpg?v=1780042548","url":"https:\/\/agendabookshop.com\/products\/iterative-regularization-methods-for-nonlinear-ill-posed-problems","provider":"Agenda Bookshop","version":"1.0","type":"link"}