Title : | Data abstraction & problem solving with C++ : walls and mirrors |
Material Type: | printed text |
Authors: | Frank M. Carrano, Author ; Timothy M. Henry, Author |
Edition statement: | 7th edition |
Publisher: | Boston : Pearson |
Publication Date: | 2017 |
Pagination: | 835 p. |
Layout: | ill. |
Size: | 25 cm |
ISBN (or other code): | 978-0-13-446397-1 |
General note: | Includes bibliographical footnotes
Includes bibliographical index (p. [828]- 839)
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Languages : | English (eng) Original Language : English (eng) |
Descriptors: | Computer algorithms Data processing Data structures Electronic books Java (Computer Program Language)
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Class number: | 005.73 |
Abstract: | The Seventh Edition of Data Abstraction & Problem Solving with C++: Walls and Mirrors introduces fundamental computer science concepts related to the study of data structures. The text explores problem solving and the efficient access and manipulation of data and is intended for students who already have a basic understanding of programming, preferably in C++. The “walls and mirrors” mentioned in the title represent problem-solving techniques that appear throughout the text. Data abstraction hides the details of a module from the rest of the program, whereas recursion is a repetitive technique that solves a problem by solving smaller versions of the same problems, much as images in facing mirrors grow smaller with each reflection. Along with general changes to improve clarity and correctness, this Seventh Edition features new notes, programming tips, examples, and programming problems, as well as C++11 and C++14 features–including safe memory management using smart pointers–and safe and secure coding techniques. |
Contents note: | Recursion: The Mirrors; Array-Based Implementations; Link-Based Implementations; Stacks; List Implementations; Algorithm Efficiency; Graphs; Review of C++ Fundamentals; Mathematical Induction; Algorithm Verification; C++ Java Verification; C++ File Fundamentals; C++ for Java Programmers; C++ for Python Programmers; |
Record link: | https://library.seeu.edu.mk/index.php?lvl=notice_display&id=18762 |