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
         
        
        
        
        
            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"
         
        
        
            Conference_Titel : 
Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2009 11th International Symposium on
         
        
            Print_ISBN : 
978-1-4244-5910-0
         
        
        
            DOI : 
10.1109/SYNASC.2009.38