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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++.

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

Idioma
Publicado en
2000
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Título
Data Abstraction and Problem Solving with Java
Subtítulo
Walls and Mirrors
Idioma
Inglés
Publicado en
2000
Formato
Tapa dura
Páginas
806
ISBN10
0201702207
ISBN13
9780201702200
Serie
Calificación
3,75 de 5
Descripción
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++.