C++版数据结构与算法分析第四版 - Mark Allen Weiss

1星 需积分: 10 31 下载量 196 浏览量 更新于2024-07-20 收藏 3.43MB PDF 举报
"《Data Structures and Algorithm Analysis in C++ Fourth Edition》是Mark Allen Weiss撰写的一本关于数据结构和算法分析的书籍,适用于C++编程语言。本书是第四版,旨在帮助读者深入理解数据结构和算法,并提升在C++环境中的实践能力。" 《Data Structures and Algorithm Analysis in C++》第四版是计算机科学领域的一本经典教材,作者Mark Allen Weiss是佛罗里达国际大学的教授,他在计算机科学和软件工程方面有着深厚的学术背景和教学经验。这本书面向的读者群体包括计算机科学专业的学生、程序员以及对数据结构和算法感兴趣的任何人。 书中的核心内容围绕数据结构展开,如数组、链表、栈、队列、树(二叉树、平衡树如AVL树和红黑树)、图等,深入探讨了这些数据结构的实现、操作和应用。同时,书中也详细讲解了各种算法,如排序(冒泡排序、选择排序、插入排序、快速排序、归并排序等)、查找(顺序查找、二分查找、哈希表查找)以及图的遍历算法(深度优先搜索和广度优先搜索)等。 在C++实现方面,作者强调了面向对象编程的概念,如类的设计、继承、封装和多态性,这些在实现数据结构和算法时尤为重要。书中还会讨论如何有效地使用C++标准库中的容器(如std::vector、std::list、std::set等)以及算法(如std::sort、std::find等),帮助读者更好地利用现代C++编程工具。 此外,书中还包括了时间复杂性和空间复杂性的分析,这是评估算法效率的关键。读者将学习如何分析算法的时间复杂度,识别和避免不必要的计算,以及优化算法性能。书中还涵盖了动态规划、贪心算法和分治策略等高级算法设计策略。 《Data Structures and Algorithm Analysis in C++》第四版不仅提供了理论知识,还包含了大量示例代码和习题,有助于读者理解和实践所学内容。此外,书中可能还包含了一些实际问题的解决方案,如搜索和排序问题在现实世界的应用,这将帮助读者将理论知识与实际编程相结合。 这是一本全面介绍数据结构和算法分析的书籍,通过C++语言深入浅出地讲解了这些关键概念,对于想要提升编程技能和解决问题能力的读者来说,是一份宝贵的资源。
2018-04-27 上传
The fourth edition of Data Structures and Algorithm Analysis in C++ describes data structures, methods of organizing large amounts of data, and algorithm analysis, the estimation of the running time of algorithms. As computers become faster and faster, the need for programs that can handle large amounts of input becomes more acute. Paradoxically, this requires more careful attention to efficiency, since inefficiencies in programs become most obvious when input sizes are large. By analyzing an algorithm before it is actually coded, students can decide if a particular solution will be feasible. For example, in this text students look at specific problems and see how careful implementations can reduce the time constraint for large amounts of data from centuries to less than a second. Therefore, no algorithm or data structure is presented without an explanation of its running time. In some cases, minute details that affect the running time of the implementation are explored. Once a solution method is determined, a program must still be written. As computers have become more powerful, the problems they must solve have become larger and more complex, requiring development of more intricate programs. The goal of this text is to teach students good programming and algorithm analysis skills simultaneously so that they can develop such programs with the maximum amount of efficiency. This book is suitable for either an advanced data structures course or a first-year graduate course in algorithm analysis. Students should have some knowledge of intermediate programming, including such topics as pointers, recursion, and object-based programming, as well as some background in discrete math.