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Data Abstraction and Problem Solving with Java

Walls and Mirrors

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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++.

Nákup knihy

Data Abstraction and Problem Solving with Java, Frank M. Carrano, Janet J. Prichard, Paul Helman, Robert Veroff

Jazyk
Rok vydania
2000
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Titul
Data Abstraction and Problem Solving with Java
Podtitul
Walls and Mirrors
Jazyk
anglicky
Vydavateľ
Addison Wesley
Rok vydania
2000
Väzba
pevná
Počet strán
806
ISBN10
0201702207
ISBN13
9780201702200
Série
Hodnotenie
3,75 z 5
Anotácia
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++.