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Titlebook: Combinatorial Pattern Matching; Third Annual Symposi Alberto Apostolico,Maxime Crochemore,Udi Manber Conference proceedings 1992 Springer-V

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书目名称Combinatorial Pattern Matching
副标题Third Annual Symposi
编辑Alberto Apostolico,Maxime Crochemore,Udi Manber
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Combinatorial Pattern Matching; Third Annual Symposi Alberto Apostolico,Maxime Crochemore,Udi Manber Conference proceedings 1992 Springer-V
描述This volume contains the 22 papers accepted for presentationat the Third Annual Symposium on Combinatorial PatternMatching held April 29 to May 1,1992, in Tucson, Arizona;it constitutes the first conference proceedings entirelydevoted to combinatorial pattern matching (CPM).CPM deals withissues of searching and matching of stringsand other more complicatedpatterns such as trees, regularexpressions, extended expressions, etc. inorder to derivecombinatorial properties for such structures. Asaninterdisciplinary field of growing interest, CPM is relatedto research in information retrieval, pattern recognition,compilers, data compression, and program analysis as well asto results, problems and methods from combinatorialmathematics and molecular biology.
出版日期Conference proceedings 1992
关键词Algorithmen; Cmbinatorics; Kombinatorik; Matching; Muster-Abgleichung; Pattern Matching; String Matching; T
版次1
doihttps://doi.org/10.1007/3-540-56024-6
isbn_softcover978-3-540-56024-1
isbn_ebook978-3-540-47357-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1992
The information of publication is updating

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Energiereduzierung und-optimierung,ving a dynamic programming of size .. If the complexity of computing gap penalties is .(1), (which is frequently the case), our algorithm runs in . time. The problem was motivated by a protein structure problem.
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https://doi.org/10.1007/978-3-319-13557-1tructures. We present an application of pattern recognition techniques (in particular matching algorithms) to structural comparison of proteins. The problem we are faced with is to devise efficient techniques for routine scanning of structural databases, searching for recurrences of inexact structur
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Smart Homes and Health Telematicshabet; 10X for twenty-letter alphabet. We give a probabilistic analysis of the DP table in order to prove that the expected running time of our algorithm (as well as an earlier “cut-off” algorithm due to Ukkonen) is . for random text. Furthermore, we give a heuristic argument that our algorithm is .
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,From regular expressions to DFA’s using compressed NFA’s,han McNaughton and Yamada‘s machine. An implementation to produce a DFA from our NFA representation by subset construction shows linear and quadratic speedups over subset construction starting from both Thompson‘s and McNaughton and Yamada‘s NFA‘s. It also shows that the DFA produced from our NFA is
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