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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

Taal
Jaar van publicatie
2000
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(Hardcover)
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Titel
Data Abstraction and Problem Solving with Java
Ondertitel
Walls and Mirrors
Taal
Engels
Jaar van publicatie
2000
Formaat
Hardcover
Aantal pagina's
806
ISBN10
0201702207
ISBN13
9780201702200
Reeks
Beoordeling
3,75 van 5
Aantekening
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++.