Data structures and algorithm analysis in Java / Mark Allen Weiss
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Item type | Current library | Home library | Collection | Shelving location | Call number | Copy number | Status | Date due | Barcode |
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LRC - Graduate Studies | National University - Manila | Gen. Ed. - CCIT | General Circulation | GC QA 76.73.J38 .W45 2012 (Browse shelf (Opens below)) | c.1 | Available | NULIB000011013 |
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GC QA 76.73.J38 .S35 2012 Java : a beginner's guide / | GC QA 76.73.J38 .S35 2019 Java : the complete reference / | GC QA 76.73.J38 .S37 2012 Java Programming : learn advanced skills from a Java expert / | GC QA 76.73.J38 .W45 2012 Data structures and algorithm analysis in Java / | GC QA 76.73.J39 .H65 2006 Java after hours : 10 projects you'll never do at work / | GC QA 76.73.P98 .P37 2020 Python programming : the complete crash course for beginner to mastering python with practical applications to data analysis & analytics, machine learning and data science projects / | GC QA 76.73.P98 .Z45 2017 Python programming : an introduction to computer science / |
Includes bibliographical references and index.
1. Introduction -- 2. Algorithm analysis -- 3. Lists, stacks and queues -- 4. Trees -- 5. Hashing -- 6. Priority queues (Heaps) -- 7.Sorting -- 8. The disjoint set class -- 9. Graph algorithms -- 10. Algorithm design techniques -- 11. Amortized analysis -- 12. Advanced data structures and implementation.
In this text, readers are able to look at specific problems and see how careful implementations can reduce the time constraint for large amounts of data from several years to less than a second.
This new edition contains all the enhancements of the new Java 7 code including diamonds. This book explains topics from binary heaps to sorting to NP-completeness, and dedicates a full chapter to amortized analysis and advanced data structures and their implementation.
This text is for readers who want to learn good programming and algorithm analysis skills simultaneously so that they can develop such programs with the maximum amount of efficiency. Readers should have some knowledge of intermediate programming, including topics as object-based programming and recursion, and some background in discrete math.
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