Average Case Analysis of Algorithms on Sequences
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Описание:
Comprehensive presentation of both analytic and probabilistic techniques As a comprehensive survey of the major techniques of average case analysis, this work presents, in detail, both analytic methods used for well–structured algorithms and probabilistic methods used for more structurally complex algorithms. In particular, the applications in the book use algorithms that focus on data structures on sequences, also called strings, which are widely used in computer science, computational biology, and information theory. Specific techniques covered include the inclusion–exclusion principle, the first and second moment methods, the random coding technique, the subadditive ergodic theorem, large deviations, generating functions, complex asymptotic methods, the Mellin transform, and analytic poissonization and depoissonization. Each method is clearly explained and accompanied by related applications and problems involving algorithms on sequences. Important features of the...Похожие книги
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