Mathematics for the analysis of algorithms

書誌事項

Mathematics for the analysis of algorithms

Daniel H. Greene, Donald E. Knuth

(Modern Birkhäuser classics)

Birkhäuser, c2008

3rd ed

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注記

Bibliography: p. [77]-80

Includes index

Reprint. Originally published as vol.1 in the series "Progress in computer science and applied logic", 1990 ed.

内容説明・目次

内容説明

This monograph collects some fundamental mathematical techniques that are required for the analysis of algorithms. It builds on the fundamentals of combinatorial analysis and complex variable theory to present many of the major paradigms used in the precise analysis of algorithms, emphasizing the more difficult notions. The authors cover recurrence relations, operator methods, and asymptotic analysis in a format that is concise enough for easy reference yet detailed enough for those with little background with the material.

目次

Preface Binomial Identities.- Summary of Useful Identities.- Deriving the Identities.- Inverse Relations.- Operator Calculus.- Hypergeometric Series.- Identities with the Harmonic Numbers Recurrence Relations.- Linear Recurrence Relations.- Nonlinear Recurrence Relations Operator Methods.- The Cookie Monster.- Coalesced Hashing.- Open Addressing: Uniform Hashing.- Open Addressing: Secondary Clustering Asymptotic Analysis.- Basic Concepts.- Stieltjes Integration and Asymptotics.- Asymptotics from Generating Functions Bibliography Appendices.- Schedule of Lectures.- Homework Assignments.- Midterm Exam I and Solutions.- Final Exam I and Solutions.- Midterm Exam II and Solutions.- Final Exam II and Solutions.- Midterm Exam III and Solutions.- Final Exam III and Solutions.- A Qualifying Exam Problem and Solution Index

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