Więcej o książce
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++.
Zakup książki
Data Abstraction and Problem Solving with Java, Frank M. Carrano, Janet J. Prichard, Paul Helman, Robert Veroff
- Język
- Rok wydania
- 2000
- Oprawa
- (twarda)
Metody płatności
Brakuje nam tutaj Twojej recenzji.
- Tytuł
- Data Abstraction and Problem Solving with Java
- Podtytuł
- Walls and Mirrors
- Język
- angielski
- Wydawca
- Addison-Wesley
- Rok wydania
- 2000
- Oprawa
- twarda
- Liczba stron
- 806
- ISBN10
- 0201702207
- ISBN13
- 9780201702200
- Seria
- Tagi
- Poradniki, Technologia, Szkoła, Oprogramowanie
- Ocena
- 3,75 z 5
- Opis
- 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++.
