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Combinatorial Pattern Matching - 10th Annual Symposium, CPM 99, Warwick University, UK, July 22-24, 1999 Proceedings (Paperback, 1999 ed.)
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Combinatorial Pattern Matching - 10th Annual Symposium, CPM 99, Warwick University, UK, July 22-24, 1999 Proceedings (Paperback, 1999 ed.)
Series: Lecture Notes in Computer Science, 1645
Expected to ship within 18 - 22 working days
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The papers contained in this volume were presented at the Tenth
Annual S- posium on Combinatorial Pattern Matching, held July 22 {
24, 1999 at the University of Warwick, England. They were selected
from 26 abstracts subm- ted in response to the call for papers. In
addition, invited lectures were given by
JoanFeigenbaumfromAT&TLabsResearch(Massivegraphs: algorithms,
app- cations, and open problems) and David Jones from the
Department of Biology, University of Warwick (Optimizing biological
sequences and protein structures using simulated annealing and
genetic algorithms). The symposium was preceded by a two-day summer
school set up to attract and train young researchers. The lecturers
of the school were Alberto Ap- tolico (Computational Theories of
Surprise), Joan Feigenbaum (Algorithmics of
network-generatedmassivedatasets), Leszek Gasieniecand PaulGoldberg
(The complexity of gene placement), David Jones (An introduction to
computational molecularbiology), Arthur Lesk
(Structuralalignmentandmaximalsubstructure extraction), Cenk
Sahinalp(Questformeasuringdistancebetweenstrings: exact,
approximate, and probabilistic algorithms), and Jim Storer.
Combinatorial Pattern Matching (CPM) addresses issues of searching
and matching strings and more complicated patterns such as trees,
regular expr- sions, graphs, point sets, and arrays. The goal is to
derive non-trivial combi- torial properties of such structures and
to exploit these properties in order to achieve superior
performance for the corresponding computational problems. Over
recent years, a steady ?ow of high-quality research on this subject
has changed a sparse set of isolated results into a fully-?edged
area of algorithmics
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