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Java edition of best-selling Walls and Mirrors series for the data structures course. *Provides a firm foundation in data abstraction (the walls), emphasizing the distinction between specification and implementation as the foundation for the object-oriented approach. *Offers extensive coverage of recursion (the mirrors) and uses the technique throughout many examples and exercises. *Introduces analysis of algorithms and Big O notation. *Provides an appendix covering basic Java syntax for those who know a different language or who need a refresher. *Contains many pedagogical study aids such as margin notes, cautionary warnings about common errors, programming projects, specifications for all major ADTs in both English and pseudecode, and self-test exercises with answers. *A proven approach, adapted from the best selling Data Abstraction and Problem Solving with C++.
Achat du livre
Data Abstraction and Problem Solving with Java, Frank M. Carrano, Janet J. Prichard, Paul Helman, Robert Veroff
- Langue
- Année de publication
- 2000
- Reliure
- (rigide)
Modes de paiement
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- Titre
- Data Abstraction and Problem Solving with Java
- Sous-titre
- Walls and Mirrors
- Langue
- Anglais
- Éditeur
- Addison-Wesley
- Publié
- 2000
- Format
- rigide
- Pages
- 806
- ISBN10
- 0201702207
- ISBN13
- 9780201702200
- Séries
- Mots clés
- Manuels et guides, Technologie, L'école, Logiciel
- Évaluation
- 3,75 sur 5
- Description
- Java edition of best-selling Walls and Mirrors series for the data structures course. *Provides a firm foundation in data abstraction (the walls), emphasizing the distinction between specification and implementation as the foundation for the object-oriented approach. *Offers extensive coverage of recursion (the mirrors) and uses the technique throughout many examples and exercises. *Introduces analysis of algorithms and Big O notation. *Provides an appendix covering basic Java syntax for those who know a different language or who need a refresher. *Contains many pedagogical study aids such as margin notes, cautionary warnings about common errors, programming projects, specifications for all major ADTs in both English and pseudecode, and self-test exercises with answers. *A proven approach, adapted from the best selling Data Abstraction and Problem Solving with C++.