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: Inverse Problems for Partial Differential Equations (Applied Mathematical Sciences)

: Inverse Problems for Partial Differential Equations (Applied Mathematical Sciences)

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Binding: Kindle Edition
Format: Kindle Book
Label: Springer
Manufacturer: Springer
Number Of Items: 1
Number Of Pages: 284
Publication Date: November 20, 1997
Publisher: Springer
Sales Rank: 94258
Studio: Springer




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Editorial Review:

Product Description:


The topic of the inverse problems is of substantial and rapidly growing interest for many scientists and engineers. The second edition covers most important recent developments in the field of inverse problems, describing theoretical and computational methods, and emphasizing new ideas and techniques. It also reflects new changes since the first edition, including some corrections. This edition is considerably expanded, with some concepts such as pseudo-convexity, and proofs simplified. New material is added to reflect recent progress in theory of inverse problems.



This book is intended for mathematicians working with partial differential equations and their applications, and physicists, geophysicists and engineers involved with experiments in nondestructive evaluation, seismic exploration, remote sensing and tomography.





Customer Reviews
Average Rating:  out of 5 stars

Rating: 2 out of 5 stars - Unreadable
One would think that Springer-Verlag would be able to afford an editor
for the second edition of a book they charge $80 for. Apparently not.
This book is so full of typos, misspellings, and bad grammar that it is
essentially unreadable. The completely stochastic sprinkling of "the"'s
and "a"'s throughout the text (a particular grammar difficulty of native
Russian speakers) suggests that no editor has ever read this manuscript.

On the positive side, the mathematical ... Read More



Rating: 4 out of 5 stars - finding interiors of objects
Isakov describes various ways to solve the inverse problem. In simplest form, one might have, say, Poisson's equation. 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 papers. Plus, and more importantly to some readers, he also ... Read More



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