10 edition of **Inverse Problems in the Mathematical Sciences (Theory & Practice of Applied Geophysics)** found in the catalog.

- 56 Want to read
- 12 Currently reading

Published
**December 1993**
by Informatica International, Inc.
.

Written in English

- Geophysics,
- Mathematics for scientists & engineers,
- Numerical analysis,
- Calculus,
- Mathematics

The Physical Object | |
---|---|

Format | Hardcover |

Number of Pages | 152 |

ID Numbers | |

Open Library | OL9053108M |

ISBN 10 | 3528065451 |

ISBN 10 | 9783528065454 |

Inverse Problems is a research area dealing with inversion of models or data. An inverse problem is a mathematical framework that is used to obtain information about a physical object or system from observed measurements. The solution to this problem is useful because it generally provides information about a physical parameter that we cannot directly observe. The overall goal of the book is to provide access to the regularized solution of inverse problems relevant in geophysics without requiring more mathematical knowledge than is taught in undergraduate math courses for scientists and engineers. From abstract analysis only the concept of functions as vectors is : Birkhäuser Basel.

Find many great new & used options and get the best deals for Mathematical Sciences Research Institute Publications: Inside Out: Inverse Problems and Applications (, Trade Paperback) at the best online prices at eBay! Free shipping for many products! To me, one of the big takeaways from the book was how useful functional analysis is in inverse problems, both from an analysis point of view and an applied mathematical point of view, especially with the regularization process. At the end of each chapter, there are few exercises.

Get this from a library! An introduction to the mathematical theory of inverse problems. [Andreas Kirsch] -- This book introduces the reader to the area of inverse problems. The study of inverse problems is of vital interest to many areas of science and . This book introduces the area of inverse problems. It examines basic notions and difficulties encountered with ill-posed problems and presents two special nonlinear inverse problems in detail: the inverse spectral problem and the inverse scattering problem.

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Inverse problems of this type are often ill-posed in the sense that distinct causes can account for the same effect and small changes in a perceived effect can correspond to very large changes in a given cause.

Very frequently such inverse problems are modeled by integral equations of the first kind. Inverse problems are immensely important in modern science and technology. However, the broad mathematical issues raised by inverse problems receive scant attention in the university curriculum.

This book aims to remedy this state of affairs by supplying an accessible introduction, at a modest mathematical level, to the alluring field of inverse by: The inverse problems introduced in the previous chapters involve finding unknown functions (including functions defined on finite sets, that is, vectors or matrices) given other functions which are.

However, the broad mathematical issues raised by inverse problems receive scant attention in university curricula. This book aims to remedy this state of affairs by supplying an accessible introduction, at a modest mathematical level, to the alluring field of inverse problems.

The second part of the book presents three special nonlinear inverse problems in detail - the inverse spectral problem, the inverse problem of electrical impedance tomography (EIT), and the inverse scattering problem. The corresponding direct problems are studied with respect to existence, uniqueness and continuous dependence on by: But whereas the conventional problem is to find the potential, given the source, the inverse problem involves knowing the potential, or its gradient, and having to find the source.

The book draws together many results which thus far have mostly resided in maths journals. Isakov explains common themes to these research by: The second part of the book presents three special nonlinear inverse problems in detail - the inverse spectral problem, the inverse problem of electrical impedance tomography (EIT), and the inverse scattering problem.

The corresponding direct problems are studied with respect to existence, uniqueness and continuous dependence on parameters. Inverse problems are the problems that consist of finding an unknown property of an object or a medium from the observation or a response of this object or a medium to a probing signal.

Thus the theory of inverse problems yields a theoretical basis for remote sensing and non-destructive evaluation. Inverse problems arise when we reconstruct a sharper image from a blurred one or reconstruct the underground mass density from measurements of the gravity above the ground.

When we solve an inverse problem, we compute the source that gives rise to some observed data using a mathematical model for the relation between the source and the data. Get this from a library. Inverse problems in the mathematical sciences. [C W Groetsch] -- Classical applied mathematics is dominated by the Laplacian paradigm of known causes evolving continuously into uniquely determined effects.

The classical direct problem is then to find the unique. Inverse Problems and Imaging publishes research articles of the highest quality that employ innovative mathematical and modeling techniques to study inverse and imaging problems arising in.

The expository survey essays in this book describe recent developments in inverse problems and imaging, including hybrid or couple-physics methods arising in medical imaging, Calderon's problem and electrical impedance tomography, inverse problems arising in global seismology and oil exploration, inverse spectral problems, and the study of asymptotically hyperbolic spaces.

This book was first published in the Academic Press Series on Computer Science and Applied Mathematics inand went out of print over five years ago. the inverse eigenvalue problem, doubly nonnegative matrices, inverse nonnegative matrices, nonnegativity and iterative methods for Markov chains, and applications of the Perron.

The book, An Introduction to Inverse Problems with Applications, mentioned in Francisco Moura Neto's answer certainly appears both applied and gentle as an introduction.

The main prerequisite seems to be linear algebra, but some exposure to multivariable calculus, numerical methods and differential equations would be valuable too.

Mathematics, an international, peer-reviewed Open Access journal. Dear Colleagues, This Special Issue, “Numerical Analysis: Inverse Problems - Theory and Applications”, will be open for the publication of high-quality mathematical papers in the area of linear and nonlinear inverse ill-posed and well-posed problems.

The book contains presentations of recent and ongoing research on inverse problems and its application to engineering and physical sciences. The articles are structured around three closely related topics: Inverse scattering problems, inverse boundary value problems, and inverse spectral problems.

Following Keller [] we call two problems inverse to each other if the for mulation of each of them requires full or partial knowledge of the other. By this definition, it is obviously arbitrary which of the two problems we call the direct and which we call the inverse problem.

But usually, one of the problems has been studied earlier and, perhaps, in more detail. Browse the list of issues and latest articles from Inverse Problems in Science and Engineering.

springer, This book introduces the reader to the area of inverse problems. The study of inverse problems is of vital interest to many areas of science and technology such as geophysical exploration, system identification, nondestructive testing and ultrasonic tomography.

The aim of this book is twofold: in the first part, the reader is exposed to the basic notions and difficulties encountered.

An inverse problem in science is the process of calculating from a set of observations the causal factors that produced them: for example, calculating an image in X-ray computed tomography, source reconstruction in acoustics, or calculating the density of the Earth from measurements of its gravity is called an inverse problem because it starts with the effects and then calculates the.

The Mathematical Sciences Research Institute (MSRI), founded inis an independent nonprofit mathematical research institution whose funding sources include the National Science Foundation, foundations, corporations, and more than 90 universities and institutions.

The Institute is located at 17 Gauss Way, on the University of California, Berkeley campus, close to Grizzly Peak, on the.Description: Inverse problems of spectral analysis consist in recovering operators from their spectral characteristics.

Such problems often appear in mathematics, mechanics, physics, electronics, geophysics, meteorology and other branches of natural science.Foreword by V.G. Yakhno INTRODUCTION Inverse problem concept: examples of formulating inverse problems On correctness of direct and inverse problems of mathematical physics INVERSE PROBLEMS FOR THE OPERATOR #TEX2HTML_WRAP_INLINE# Problems with nonfocused initial data Some aspects associated with the inverse problem for the equation Problems.