Data structures and algorithm analysis in Java / Mark Allen Weiss
Material type:
- 9780273752110
- QA 76.73.J38 .W457 2012

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National University - Manila | LRC - Graduate Studies General Circulation | General Education | GC QA 76.73.J38 .W457 2012 (Browse shelf(Opens below)) | c.1 | Available | NULIB000009220 |
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GC QA 76.9 .G65 2016 Practical machine learning / | GC QA 76.9 .R49 2016 Big data beginners : understanding smart big data, data mining and data analytics for improved business performance, life decisions and more! / | GC QA 76.73.J38 .G66 2014 c.2 Data structures and algorithms in Java / | GC QA 76.73.J38 .W457 2012 Data structures and algorithm analysis in Java / | GC RA 440.5 .L36 1998 The public health-human values connection / | GC RJ 501 .M67 1974 c.2 Movement experiences for the mentally retarded or emotionally disturbed child / | GC S 531 .D46 1990 Sourcebook in agricultural arts. |
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.
Data Structures and Algorithm Analysis in Java is an “advanced algorithms” book that fits between traditional CS2 and Algorithms Analysis courses. In the old ACM Curriculum Guidelines, this course was known as CS7. 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. As the speed and power of computers increases, so does the need for effective programming and algorithm analysis. By approaching these skills in tandem, Mark Allen Weiss teaches readers to develop well-constructed, maximally efficient programs in Java. Weiss clearly 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. Figures and examples illustrating successive stages of algorithms contribute to Weiss’ careful, rigorous and in-depth analysis of each type of algorithm. A logical organization of topics and full access to source code complement the text’s coverage.
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