Why a book on fault-tolerant search algorithms? Searching is one
of the fundamental problems in computer science. Time and again
algorithmic and combinatorial issues originally studied in the
context of search find application in the most diverse areas of
computer science and discrete mathematics. On the other hand,
fault-tolerance is a necessary ingredient of computing. Due to
their inherent complexity, information systems are naturally prone
to errors, which may appear at any level - as imprecisions in the
data, bugs in the software, or transient or permanent hardware
failures. This book provides a concise, rigorous and up-to-date
account of different approaches to fault-tolerance in the context
of algorithmic search theory.
Thanks to their basic structure, search problems offer insights
into how fault-tolerant techniques may be applied in various
scenarios. In the first part of the book, a paradigmatic model for
fault-tolerant search is presented, the Ulam-Renyi problem.
Following a didactic approach, the author takes the reader on a
tour of Ulam-Renyi problem variants of increasing complexity. In
the context of this basic model, fundamental combinatorial and
algorithmic issues in the design of fault-tolerant search
procedures are discussed. The algorithmic efficiency achievable is
analyzed with respect to the statistical nature of the error
sources, and the amount of information on which the search
algorithm bases its decisions. In the second part of the book, more
general models of faults and fault-tolerance are considered.
Special attention is given to the application of fault-tolerant
search procedures to specific problems in distributed computing,
bioinformatics and computational learning.
This book will be of special value to researchers from the areas
of combinatorial search and fault-tolerant computation, but also to
researchers in learning and coding theory, databases, and
artificial intelligence. Only basic training in discrete
mathematics is assumed. Parts of the book can be used as the basis
for specialized graduate courses on combinatorial search, or as
supporting material for a graduate or undergraduate course on
error-correcting codes.
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