Many problems in science, technology and engineering are posed in the
form of operator equations of the first kind, with the operator and RHS
approximately known. But such problems often turn out to be ill-posed,
having no solution, or a non-unique solution, and/or an unstable
solution. Non-existence and non-uniqueness can usually be overcome by
settling for `generalised' solutions, leading to the need to develop
regularising algorithms.
The theory of ill-posed problems has advanced greatly since A. N.
Tikhonov laid its foundations, the Russian original of this book (1990)
rapidly becoming a classical monograph on the topic. The present edition
has been completely updated to consider linear ill-posed problems with
or without a priori constraints (non-negativity, monotonicity,
convexity, etc.).
Besides the theoretical material, the book also contains a FORTRAN
program library.
Audience: Postgraduate students of physics, mathematics, chemistry,
economics, engineering. Engineers and scientists interested in data
processing and the theory of ill-posed problems