DocumentCode :
3635376
Title :
Algorithms for Identifying Sequence Patterns with Several Types of Occurrence Constraints
Author :
Mugurel Ionut Andreica;Andrei Grigorean;Nicolae Tapus
Author_Institution :
Comput. Sci. & Eng. Dept., Politeh. Univ. of Bucharest, Bucharest, Romania
fYear :
2009
Firstpage :
265
Lastpage :
272
Abstract :
In this paper we present efficient algorithmic techniques for identifying several types of sequence-related patterns. We consider two main problems: finding a maximum weight contiguous subsequence which has the structure of a permutation with repetitions, and an online problem consisting of the constrained guessing of a secret sequence.
Keywords :
"Computer science","Scientific computing","Mathematics","Sorting","Counting circuits"
Publisher :
ieee
Conference_Titel :
Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2009 11th International Symposium on
Print_ISBN :
978-1-4244-5910-0
Type :
conf
DOI :
10.1109/SYNASC.2009.38
Filename :
5460839
Link To Document :
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