{"product_id":"iterative-regularization-methods-for-nonlinear-ill-posed-problems-9783110204209","title":"Iterative Regularization Methods for Nonlinear Ill-Posed Problems","description":"\u003cp\u003e • Author(s): Barbara Kaltenbacher | Andreas Neubauer | Otmar Scherzer\u003cbr\u003e • Publisher: de Gruyter\u003cbr\u003e • Publisher Imprint: de Gruyter\u003cbr\u003e • BISAC: Differential Equations - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\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":"Hardcover","offer_id":46887416397975,"sku":"9783110204209","price":17938.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783110204209.webp?v=1770255857","url":"https:\/\/atlanticbooks.com\/products\/iterative-regularization-methods-for-nonlinear-ill-posed-problems-9783110204209","provider":"Atlantic Books","version":"1.0","type":"link"}