|Source||ACM Digital Library|
|Publisher||Association for Computing Machinery (ACM)|
|Subject Domain (in DDC)||Computer science, information & general works ♦ Computer programming, programs & data|
|Abstract||String search is fundamental in many text processing applications. Sunday recently gave several algorithms to find the first occurrence of a pattern string as a substring of a text, providing experimental data from searches in a text of about 200K characters to support his claim that his algorithms are faster than the standard Boyer-Moore algorithm. We present a methodology for the average-case analysis of the performance of string search algorithms---for such algorithms, a worst-case analysis does not yield much useful information, since the performance of the algorithm is directly affected by such characteristics as the size of the character set, the character frequencies, and the structure of the text. Knuth described a finite automaton which can be used to save information about character comparisons. Baeza-Yates, Gonnet, and Regnier gave a probabilistic analysis of the worst- and average-case behavior of a string search algorithm based upon such an automaton. We construct Knuth automata to model Sunday's algorithms and use the methods of Baeza-Yates et al. to obtain an average-case analysis which confirms Sunday's experimental data.|
|Age Range||18 to 22 years ♦ above 22 year|
|Education Level||UG and PG|
|Learning Resource Type||Article|
|Publisher Place||New York|
|Journal||Journal of Experimental Algorithmics (JEA)|
Ministry of Human Resource Development (MHRD) under its National Mission on Education through Information and Communication Technology (NMEICT) has initiated the National Digital Library of India (NDLI) project to develop a framework of virtual repository of learning resources with a single-window search facility. Filtered and federated searching is employed to facilitate focused searching so that learners can find out the right resource with least effort and in minimum time. NDLI is designed to hold content of any language and provides interface support for leading vernacular languages, (currently Hindi, Bengali and several other languages are available). It is designed to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is being developed to help students to prepare for entrance and competitive examinations, to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is being developed at Indian Institute of Technology Kharagpur.
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