C++编程:数据结构与算法分析第四版

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"Data Structures and Algorithm Analysis in C++(4th)是Mark Allen Weiss撰写的一本关于数据结构和算法分析的专业书籍,适用于C++编程语言。这本书是第四版,旨在深入探讨如何在C++环境中有效地设计和分析数据结构及算法。" 在IT行业中,数据结构和算法是计算机科学的基础,对于软件开发人员来说至关重要。《Data Structures and Algorithm Analysis in C++》第四版涵盖了广泛的主题,旨在帮助读者理解并掌握这些核心概念。 首先,数据结构是存储和组织数据的方式,它影响着算法的效率和程序的整体性能。本书可能包括了如数组、链表、栈、队列、树(二叉树、堆、红黑树等)、图以及散列表等经典数据结构。这些数据结构不仅在理论上有重要意义,还在实际应用中扮演着重要角色,例如在操作系统、数据库系统、网络和图形处理等领域。 其次,算法是解决问题或执行任务的精确步骤。书中可能会讨论排序(冒泡排序、选择排序、插入排序、快速排序、归并排序等)、搜索(线性搜索、二分搜索)、图算法(最短路径算法如Dijkstra和Floyd-Warshall)以及动态规划等常见算法。此外,读者还可能接触到复杂度分析,学习如何评估算法的时间复杂度和空间复杂度,以便在实际开发中做出最优选择。 本书使用C++作为编程语言,C++是一种强大的、面向对象的编程语言,具有丰富的标准库,适合实现高效的数据结构和算法。读者将学习如何利用C++的特性,如模板、STL(标准模板库)以及对象导向编程,来实现和优化数据结构和算法。 此外,书中可能还包括了实际问题的案例研究和练习题,以帮助读者将理论知识应用到实践中。通过解决这些问题,读者可以提高分析和解决问题的能力,这对于任何软件工程师的职业生涯都是必不可少的。 《Data Structures and Algorithm Analysis in C++(4th)》是一本深入探讨数据结构和算法的权威教材,适合计算机科学的学生、教师以及专业开发者阅读。通过学习本书,读者不仅可以提升对C++的理解,还能掌握设计和分析复杂算法的关键技能,从而在软件工程领域取得成功。
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.