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
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