03550nas 2200361-a 450 991014500240332120130308120006.0(CKB)1000000000390688(CONSER)sn-95047227-(EXLCZ)99100000000039068819951106b18951911 k-- aengcrdamediacrrdacarrierThe championArcadia, Fla. T.E. & Royal B. Child1 online resourcePublished at: Bowling Green, Fla. <1895>; and at: Arcadia, Fla., <1906-1908>Editor: Mrs. Neva C. Child, <1906-1908>Print version: Champion (Bowling Green, Fla.) 1940-9745 (DLC)sn-95047227- (OCoLC)33424599 Published weekly by T.E. and Royal B. Child, the Champion [LCCN: sn95047227] originally published in Bowling Green, Florida, starting in 1894 by Mrs. Neva Chase Child. In 1895, however, the newspaper offices were moved to Arcadia, Florida. During the economic panic of 1892, Mrs. Child (1850- ), an Illinois native, moved to Florida from Colorado with her husband, a rancher. Mrs. Child had previously published newspapers in Colorado. In its October 18, 1896 issue, the Florida Times Union (Jacksonville, FL) [LCCN 95026757] reported "There are not many women editors in Florida, but Mrs. Childs [sic] ranks with the best weekly paper publishers in the state of either sex. She is a thorough business woman and an able writer. The paper is independent in politics, four page, six column, weekly issued every Thursday, $1 a year." The Champion was one of several early newspapers in DeSoto County, Florida.-^^In 1887, this large inland county in southern Florida was partitioned from Manatee County (FL) and then covered 3,750 square miles, an area the size of the state of Rhode Island. DeSoto County was further partitioned into five separate counties in 1921. Arcadia was and still is the seat of DeSoto County. Bowling Green is now in Hardee County. The Champion, which documents early life in inland southern Florida, ceased publication in 1911. The Tampa (FL) Morning Tribune [LCCN sn95047477], writing in tribute to the Champion in its January 10, 1909 article "Arcadia Champion, Popular Paper", implied the causes for its demise. "Through the efforts of the Champion," it reported, " ... the Tribune was able to make the success of this edition of [the Tribune's] DeSoto [edition] which it has." The Tribune survives as one of Florida's most widely read newspapers. Then, as now, Arcadia's local economy and much of the Champion's reporting was on agriculture.-^^Land use, at the time, had been opened up by the expansion of the railroads and by environmental controls designed to make Florida useful agriculturally productive to feed the nation and especially a growing tourism industry along Florida's Atlantic coast, also spurred on by the deep reach of the railroads into Florida. The Champion was continued by the Enterprise [LCCN: sn95047228], published weekly in Arcadia by T.B. Hartig. In turn, the Enterprise was continued by the Arcadia Enterprise [LCCN: sn95047229]. --E. Kesse, University of Florida Digital Library Center.CHAMPIONCHAMPION, THEBowling Green (Fla.)NewspapersArcadia (Fla.)NewspapersDe Soto County (Fla.)NewspapersJOURNAL9910145002403321exl_impl conversionThe champion1906918UNINA06873nam 2200577Ia 450 991082054830332120240604145758.0981-277-822-5(CKB)1000000000405227(StDuBDS)AH24684799(SSID)ssj0000185540(PQKBManifestationID)11174666(PQKBTitleCode)TC0000185540(PQKBWorkID)10208128(PQKB)11616036(MiAaPQ)EBC1681443(WSP)00004838(Au-PeEL)EBL1681443(CaPaEBR)ebr10201155(CaONFJC)MIL505453(OCoLC)855898905(PPN)278534252(EXLCZ)99100000000040522720030204d2002 uy 0engur|||||||||||txtccrJewels of stringology /Maxime Crochemore, Wojciech Rytter1st ed.Singapore ;River Edge, NJ World Scientific2002x, 310 p. illBibliographic Level Mode of Issuance: MonographIncludes bibliography references and index.1. Stringology. 1.1. Text file facilities. 1.2. Dictionaries. 1.3. Data compression. 1.4. Applications of text algorithms in genetics. 1.5. Efficiency of algorithms. 1.6. Some notation and formal definitions. 1.7. Some simple combinatorics of strings. 1.8. Some other interesting strings. 1.9. Cyclic shifts and primitive words -- 2. Basic string searching algorithms. 2.1. Knuth-Morris-Pratt algorithm. 2.2. Boyer-Moore algorithm and its variations -- 3. Preprocessing for basic searchings. 3.1. Preprocessing patterns for MP and KMP algorithms. 3.2. Table of prefixes. 3.3. Preprocessing for Boyer-Moore algorithm. 3.4. * Analysis of Boyer-Moore algorithm -- 4. On-line construction of suffix trees. 4.1. Tries and their compact versions. 4.2. Prelude to Ukkonen algorithm. 4.3. Ukkonen algorithm -- 5. More on suffix trees. 5.1. Several applications of suffix trees. 5.2. McCreight algorithm -- 6. Subword graphs. 6.1. Directed acyclic graph. 6.2. On-line construction of subword graphs. 6.3. The reverse perspective. 6.4. Compact subword graphs -- 7. Text algorithms related to sorting. 7.1. The naming technique: KMR algorithm. 7.2. Two-dimensional KMR algorithm. 7.3. Suffix arrays. 7.4. Constructing suffix trees by sorting. 7.5. The Lowest-Common-Ancestor dictionary. 7.6. Suffix-Merge-Sort -- 8. Symmetries and repetitions in texts. 8.1. Searching for symmetric words. 8.2. Compositions of symmetric words. 8.3. Searching for square factors -- 9. Constant-space searchings. 9.1. Constant-space matching for easy patterns. 9.2. MaxSuffix-matching. 9.3. Computation of maximal suffixes. 9.4. Matching patterns with short maximal suffixes. 9.5. Two-way matching and magic decomposition. 9.6. Sequential sampling for unordered alphabets. 9.7. Galil-Seiferas algorithm. 9.8. Cyclic equality of words -- 10. Text compression techniques. 10.1. Substitutions. 10.2. Static Huffman coding. 10.3. Dynamic Huffman coding. 10.4. Factor encoding -- 11. Automata-theoretic approach. 11.1. Aho-Corasick automaton. 11.2. Determinizing automata. 11.3. Two-way pushdown automata -- 12. Approximate pattern matching. 12.1. Edit distance. 12.2. Longest common subsequence problem. 12.3. String matching with errors. 12.4. String matching with don't care symbols -- 13. Matching by dueling and sampling. 13.1. String matching by duels. 13.2. String matching by sampling -- 14. Two-dimensional pattern matching. 14.1. Multi-pattern approach. 14.2. Don't cares and non-rectangular patterns. 14.3. 2D-Pattern matching with mismatches. 14.4. Multi-pattern matching. 14.5. Matching by sampling. 14.6. An algorithm fast on the average -- 15. Two-dimensional periodicities. 15.1. Amir-Benson-Farach algorithm. 15.2. Geometry of two-dimensional periodicities. 15.3. * Patterns with large monochromatic centers. 15.4. * A version of the Galil-Park algorithm -- 16. Parallel text algorithms. 16.1. The abstract model of parallel computing. 16.2. Parallel string-matching algorithms. 16.3. * Splitting technique. 16.4. Parallel KMR algorithm and application. 16.5. Parallel Huffman coding. 16.6. Edit distance - efficient parallel computation -- 17. Miscellaneous. 17.1. Karp-Rabin string matching by hashing. 17.2. Shortest common superstrings. 17.3. Unique-decipherability problem. 17.4. Parameterized pattern matching. 17.5. Breaking paragraphs into lines.The term "stringology" is a popular nickname for text algorithms, or algorithms on strings. This book deals with the most basic algorithms in the area. Most of them can be viewed as "algorithmic jewels" and deserve reader-friendly presentation. One of the main aims of the book is to present several of the most celebrated algorithms in a simple way by omitting obscuring details and separating algorithmic structure from combinatorial theoretical background. The book reflects the relationships between applications of text-algorithmic techniques and the classification of algorithms according to the measures of complexity considered. The text can be viewed as a parade of algorithms in which the main purpose is to discuss the foundations of the algorithms and their interconnections. One can partition the algorithmic problems discussed into practical and theoretical problems. Certainly, string matching and data compression are in the former class, while most problems related to symmetries and repetitions in texts are in the latter. However, all the problems are interesting from an algorithmic point of view and enable the reader to appreciate the importance of combinatorics on words as a tool in the design of efficient text algorithms. In most textbooks on algorithms and data structures, the presentation of efficient algorithms on words is quite short as compared to issues in graph theory, sorting, searching, and some other areas. At the same time, there are many presentations of interesting algorithms on words accessible only in journals and in a form directed mainly at specialists. This book fills the gap in the book literature on algorithms on words, and brings together the many results presently dispersed in the masses of journal articles. The presentation is reader-friendly; many examples and about two hundred figures illustrate nicely the behaviour of otherwise very complex algorithms.Computer algorithmsMatching theoryComputer algorithms.Matching theory.005.1Crochemore Maxime1947-1617863Rytter Wojciech632280MiAaPQMiAaPQMiAaPQBOOK9910820548303321Jewels of stringology3949253UNINA