{"product_id":"approximate-global-convergence-and-adaptivity-for-coefficient-inverse-problems-9781489995308","title":"Approximate Global Convergence and Adaptivity for Coefficient Inverse Problems","description":"\u003cp\u003e • Author(s): Larisa Beilina\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Applied\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eApproximate Global Convergence and Adaptivity for Coefficient Inverse Problems\u003c\/i\u003e is the first book in which two new concepts of numerical solutions of multidimensional Coefficient Inverse Problems (CIPs) for a hyperbolic Partial Differential Equation (PDE) are presented: Approximate Global Convergence and the Adaptive Finite Element Method (adaptivity for brevity). \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eTwo central questions for CIPs are addressed: How to obtain a good approximation for the exact solution without any knowledge of a small neighborhood of this solution, and how to refine it given the approximation. \u003cp\u003e\u003c\/p\u003eThe book also combines analytical convergence results with recipes for various numerical implementations of developed algorithms. The developed technique is applied to two types of blind experimental data, which are collected both in a laboratory and in the field. The result for the blind backscattering experimental data collected in the field addresses a real-world problem of imaging of shallow explosives. \u003cp\u003e\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":45273717211287,"sku":"9781489995308","price":11752.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781489995308.webp?v=1769237374","url":"https:\/\/atlanticbooks.com\/products\/approximate-global-convergence-and-adaptivity-for-coefficient-inverse-problems-9781489995308","provider":"Atlantic Books","version":"1.0","type":"link"}