Data Structures and Algorithms in C++, 2/e (Paperback)
Michael T. Goodrich, Roberto Tamassia, David M. Mount
- 出版商: Wiley
- 出版日期: 2011-02-22
- 定價: $2,400
- 售價: 9.8 折 $2,352
- 語言: 英文
- 頁數: 744
- 裝訂: Paperback
- ISBN: 0470383275
- ISBN-13: 9780470383278
-
相關分類:
C++ 程式語言、Algorithms-data-structures
立即出貨 (庫存 < 3)
買這商品的人也買了...
-
$1,225Discrete and Combinatorial Mathematics: An Applied Introduction, 5/e (IE-Paperback)
-
$580$493 -
$1,558Introduction to Algorithms, 3/e (IE-Paperback)
-
$800$632 -
$1,615Introduction to Probability, 2/e (IE-Paperback)
-
$640$505 -
$650$618 -
$400$316 -
$780$585 -
$1,646Operating System Concepts, 9/e (IE-Paperback)
-
$1,078Data Structures and Algorithm Analysis in C++, 4/e (IE-Paperback)
-
$1,617Computer Organization and Design: The Hardware/Software Interface, 5/e (Asian Edition)(IE-Paperback)
-
$580$568 -
$1,160$1,102 -
$780$616 -
$1,200$948 -
$1,380$1,311 -
$1,615Cracking the Coding Interview : 189 Programming Questions and Solutions, 6/e (Paperback)
-
$780$616 -
$1,887$1,665 -
$500深入理解 LINUX 內核, 3/e (涵盖2.6版) (Understanding the Linux Kernel, 3/e)
-
$1,350$1,283 -
$580$458 -
$380$300 -
$620$490
相關主題
商品描述
<內容簡介>
Description
This second edition of Data Structures and Algorithms in C++ is designed to provide an introduction to data structures and algorithms, including their design, analysis, and implementation. The authors offer an introduction to object-oriented design with C++ and design patterns, including the use of class inheritance and generic programming through class and function templates, and retain a consistent object-oriented viewpoint throughout the book.
This is a “sister” book to Goodrich & Tamassia’s Data Structures and Algorithms in Java, but uses C++ as the basis language instead of Java. This C++ version retains the same pedagogical approach and general structure as the Java version so schools that teach data structures in both C++ and Java can share the same core syllabus.
In terms of curricula based on the IEEE/ACM 2001 Computing Curriculum, this book is appropriate for use in the courses CS102 (I/O/B versions), CS103 (I/O/B versions), CS111 (A version), and CS112 (A/I/O/F/H versions).
Features
Consistent object-oriented viewpoint throughout the book.
Detailed explanation and visualization of sorting algorithms.
Coverage of graph algorithms and pattern-matching algorithms for more advanced CS2 courses.
Visual justifications (that is, picture proofs), which make mathematical arguments more understandable for students, appealing to visual learners.
Motivation of algorithmic concepts with Internet-related applications, such as Web browsers and search engines.
Accompanying web site with a special password-protected area for instructors.
New to This Edition
Enhanced consistency with the C++ Standard Template Library (STL), and expanded usage of STL data structures as a basis for designing more complex data structures.
Improved consistency with modern C++ coding standards in presenting code fragments.
Simplification of many of the code fragments, focusing on the principal structure and functionality of the data structures.
More examples and discussion of data structure and algorithm analysis.
Enhanced the discussion of algorithmic design techniques, like dynamic programming and the greedy method.
<章節目錄>
1. A C++ Primer.
2. Object-Oriented Design.
3. Arrays, Linked Lists, and Recursion.
4. Analysis Tools.
5. Stacks, Queues, and Deques.
6. List and Iterator ADTs.
7. Trees.
8. Heaps and Priority Queues.
9. Hash Tables, Maps, and Skip Lists.
10. Search Trees.
11. Sorting, Sets, and Selection.
12. Strings and Dynamic Programming.
13. Graph Algorithms.
14. Memory Management and B-Trees.
商品描述(中文翻譯)
《C++資料結構與演算法》第二版旨在介紹資料結構和演算法,包括它們的設計、分析和實現。作者們提供了一個使用C++和設計模式的物件導向設計介紹,包括使用類別繼承和類別和函式模板的泛型編程,並在整本書中保持一致的物件導向觀點。
這本書是Goodrich和Tamassia的《Java資料結構與演算法》的姊妹書,但以C++作為基礎語言。這個C++版本保留了與Java版本相同的教學方法和結構,因此教授C++和Java資料結構的學校可以共享相同的核心課程大綱。
根據IEEE/ACM 2001年計算機課程大綱,這本書適用於CS102(I/O/B版本)、CS103(I/O/B版本)、CS111(A版本)和CS112(A/I/O/F/H版本)等課程。
特點包括:
- 整本書保持一致的物件導向觀點。
- 對排序演算法進行詳細的解釋和可視化。
- 涵蓋圖形演算法和模式匹配演算法,適用於更高級的CS2課程。
- 提供視覺證明(即圖片證明),使數學論證對學生更易理解,吸引視覺學習者。
- 通過與互聯網相關的應用(如網頁瀏覽器和搜索引擎)來解釋演算法概念的動機。