Byrne C Iterative Optimization in Inverse Problems 2014 | 3.27 MB
N/A | 298 Pages

Title: Iterative Optimization in Inverse Problems
Author: Byrne, Charles
Year: 2018

Bauschke H Fixed-Point Algorithms for Inverse Problems Science Engineer 2011 | 3.67 MB
N/A | 415 Pages

Title: Fixed-Point Algorithms for Inverse Problems in Science and Engineering (Springer Optimization and Its Applications, 49)
Author: Heinz H. Bauschke, Regina S. Burachik, Patrick L. Combettes, Veit Elser, D. Russell Luke, Henry Wolkowicz
Year: N/A

Beilina L Inverse Problems and Applications 2015 | 4.49 MB
English | 169 Pages

Title: Inverse Problems and Applications
Author: Larisa Beilina
Year: 2015

Beilina L Applied Inverse Problems 2016 | 5.08 MB
English | 206 Pages

Title: Nonlinear and Inverse Problems in Electromagnetics: PIERS 2017, St. Petersburg, Russia, May 22-25 (Springer Proceedings in Mathematics & Statistics Book 243)
Author: L. Beilina
Year: 2018

Beilina L Inverse Problems and Large-Scale Computations 2013 | 3.42 MB
English | 223 Pages

Title: Statistical and Computational Inverse Problems (Applied Mathematical Sciences, 160)
Author: Jari Kaipio
Year: 2005

Kenrick Bingham, Yaroslav V. Kurylev, E. Somersalo, "New Analytic and Geometric Methods in Inverse Problems: Lectures given at the EMS Summer School and Conference held in Edinburgh, Scotland 2000"
English | 2003 | ISBN: 3540406824, 3642073794 | DJVU | pages: 397 | 2.9 mb
In inverse problems, the aim is to obtain, via a mathematical model,information on quantities that are not directly observable but rather depend onother observable quantities. Inverse problems are encountered in such diverse areas of application as medical imaging, remote sensing, material testing, geosciences and financing. It has become evident that new ideas coming from differential geometry and modern analysis are needed to tackle even some of the most classical inverse problems. This book contains a collection of presentations, written by leading specialists, aiming to give the reader up-to-date tools for understanding the current developments in the field.

Dwivedi A Inverse Trigonometric Function Textbook Booklet 2019 | 1.93 MB
N/A | 90 Pages

Title: --nagarji-H-Nagarji-Maths_Secti0010.mdi
Author: Welcome
Year: N/A

English | 2022 | ISBN: 978-1470466558 | 302 pages | True PDF | 7.56 MB
This book provides an introduction to the inverse eigenvalue problem for graphs (IEP-$G$) and the related area of zero forcing, propagation, and throttling. The IEP-$G$ grew from the intersection of linear algebra and combinatorics and has given rise to both a rich set of deep problems in that area as well as a breadth of "ancillary" problems in related areas. The IEP-$G$ asks a fundamental mathematical question expressed in terms of linear algebra and graph theory, but the significance of such questions goes beyond these two areas, as particular instances of the IEP-$G$ also appear as major research problems in other fields of mathematics, sciences and engineering. One approach to the IEP-$G$ is through rank minimization, a relevant problem in itself and with a large number of applications. During the past 10 years, important developments on the rank minimization problem, particularly in relation to zero forcing, have led to significant advances in the IEP-$G$. The monograph serves as an entry point and valuable resource that will stimulate future developments in this active and mathematically diverse research area.
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Large-Scale Inverse Problems and Quantification of Uncertainty by Lorenz Biegler
English | PDF | 2010 | 376 Pages | ISBN : 0470697431 | 28 MB

English | 2022 | ISBN: 303088158X| 150 pages | pdf | 6.57 MB
This book presents a thorough discussion of the theory of abstract inverse linear problems on Hilbert space. Given an unknown vectorfin a Hilbert spaceH, a linear operatorAacting onH, and a vectorginHsatisfyingAf=g, one is interested in approximatingfby finite linear combinations ofg,Ag,A2g,A3g, ... The closed subspace generated by the latter vectors is called the Krylov subspace ofHgenerated bygandA. The possibility of solving this inverse problem by means of projection methods on the Krylov subspace is the main focus of this text.