DocumentCode :
301131
Title :
Randomized parallel algorithms for the homing sequence problem
Author :
Ravikumar, B. ; Xiong, X.
Author_Institution :
Dept. of Comput. Sci. & Stat., Rhode Island Univ., Kingston, RI, USA
Volume :
2
fYear :
1996
fDate :
12-16 Aug 1996
Firstpage :
82
Abstract :
Homing sequences play an important role in the testing of finite state systems and have been recently used in learning algorithms due to Rivest and Schapire (1993) and Freund et al. (1993). It is well-known that every minimal DFA has a homing sequence of length O(n2) which can be constructed sequentially in time O(n3). But no efficient parallel algorithm was known for this problem. We present two RNC algorithms of time complexity O(log2n) for this problem. We show that one of our RNC algorithms produces a homing sequence of length O(n logan) for almost all DFA´s with n states using a random model of Traktenbrot and Barzdin (1973). We also discuss connections between the homing sequence problem and other problems in the field of hardware fault-testing and protocol verification
Keywords :
computational complexity; deterministic automata; estimation theory; finite state machines; parallel algorithms; randomised algorithms; testing; finite state system testing; hardware fault-testing; homing sequence problem; learning algorithms; protocol verification; random model; randomized parallel algorithms; time complexity; Algorithm design and analysis; Automata; Computer science; Doped fiber amplifiers; Hardware; Parallel algorithms; Polynomials; Protocols; Statistical analysis; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel Processing, 1996. Vol.3. Software., Proceedings of the 1996 International Conference on
Conference_Location :
Ithaca, NY
ISSN :
0190-3918
Print_ISBN :
0-8186-7623-X
Type :
conf
DOI :
10.1109/ICPP.1996.537385
Filename :
537385
Link To Document :
بازگشت