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Data structures and algorithm analysis in C / Mark Allen Weiss.

By: Material type: TextTextPublication details: Redwood City, California : The Benjamin/Cummings Publishing Company, Inc., c1993Description: xvii, 455 pages : illustrations ; 21 cmISBN:
  • 9780201455731
Subject(s): LOC classification:
  • QA 76.73.C15 .W45 1993
Contents:
Introduction -- Algorithm analysis -- Lists, stacks, and queues -- Trees -- Hashing -- Priority queues (heaps) -- Sorting -- The disjoint set ADT -- Graph algorithms -- Algorithm design techniques -- Amortized analysis.
Summary: This text takes a modern approach to algorithms and data structures. Emphasizing theory rather than code, it highlights conceptual topics with a focus on ADTs and analysis of algorithms for efficiency. In particular, the concentration is on specific programming problems and how careful implementation will improve program running time. Logically organized, it presents topics in a manageable order. Designed for students and professionals, it is suitable for an advanced data structures course or a first-year graduate course in algorithm analysis.
Item type: Books
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Holdings
Item type Current library Home library Collection Call number Copy number Status Date due Barcode
Books Books National University - Manila LRC - Main General Circulation Computer Science GC QA 76.73.C15 .W45 1993 (Browse shelf(Opens below)) c.1 Available NULIB000002583

Includes bibliographical references and index.

Introduction -- Algorithm analysis -- Lists, stacks, and queues -- Trees -- Hashing -- Priority queues (heaps) -- Sorting -- The disjoint set ADT -- Graph algorithms -- Algorithm design techniques -- Amortized analysis.

This text takes a modern approach to algorithms and data structures. Emphasizing theory rather than code, it highlights conceptual topics with a focus on ADTs and analysis of algorithms for efficiency. In particular, the concentration is on specific programming problems and how careful implementation will improve program running time. Logically organized, it presents topics in a manageable order. Designed for students and professionals, it is suitable for an advanced data structures course or a first-year graduate course in algorithm analysis.

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