Includes bibliographical references (pages 473-477) and index.
Data structures and algorithms -- Mathematical preliminaries -- Algorithm analysis -- Lists, stacks, and queues -- Binary trees -- General trees -- Graphs -- Internal sorting -- File processing and external sorting -- Searching -- Indexing -- Lists and arrays revisited -- Advanced tree structure -- Analysis techniques -- Limits to computation -- Appendix: A Java tutorial for C and Pascal programming.
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"Clifford A. Shaffer thoroughly covers fundamental data structures and the principles of algorithm analysis. The author focuses on teaching the principles required to select or design the data structure that will best solve a particular problem and includes numerous illustrations, case studies, projects, and practice problems. This text is appropriate for sophomore or junior level students in computer science or professionals."--Jacket.
Practical introduction to data structures and algorithm analysis.
Practical introduction to data structures and algorithm analysis.