Qualitative Methods in Inverse Scattering Theory: An Introduction

Front Cover
Springer Science & Business Media, Nov 3, 2005 - Mathematics - 227 pages
0 Reviews

Inverse scattering theory has been a particularly active and successful field in applied mathematics and engineering for the past twenty years. The increasing demands of imaging and target identification require new powerful and flexible techniques besides the existing weak scattering approximation or nonlinear optimization methods. One class of such methods comes under the general description of qualitative methods in inverse scattering theory. This textbook is an easily-accessible "class-tested" introduction to the field. It is accessible also to readers who are not professional mathematicians, thus making these new mathematical ideas in inverse scattering theory available to the wider scientific and engineering community.

 

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

I
1
III
6
IV
13
V
17
VI
22
VII
27
VIII
28
IX
30
XXVII
117
XXVIII
120
XXIX
131
XXX
132
XXXI
142
XXXII
146
XXXIII
151
XXXIV
153

X
36
XI
45
XIII
47
XIV
51
XV
61
XVI
62
XVII
65
XVIII
69
XIX
81
XXI
85
XXII
89
XXIII
101
XXIV
105
XXVI
108
XXXV
154
XXXVI
161
XXXVII
166
XXXVIII
171
XXXIX
180
XL
188
XLI
192
XLII
201
XLIII
209
XLIV
213
XLV
219
XLVI
225
Copyright

Other editions - View all

Common terms and phrases

References to this book

All Book Search results »

About the author (2005)

F. Cakoni received her Ph.D. degree in 1996 from the University of Tirana (Albania) and University of Patras (Greece). Since 2000 she has been on the Faculty of the Department of Mathematical Sciences at the University of Delaware, where she became Professor in 2010.

David Colton received the Ph.D. degree from the University of Edinburgh, Scotland, in 1967 and the DSc degree in 1977. Since 1978 he has been Professor of Mathematics at the University of Delaware. He was appointed Unidel Professor in 1996.

Bibliographic information