Elsevier Inc. 2012
Being introductory in nature, this book deals mainly with discrete inverse
theory, that is, the part of the theory concerned with parameters that either are
truly discrete or can be adequately approximated as discrete. By adhering to
these limitations, inverse theory can be presented on a level that is accessible
to most first-year graduate students and many college seniors in the applied
sciences. The only mathematics that is presumed is a working knowledge of
the calculus and linear algebra and some familiarity with general concepts from
probability theory and statistics.