C++编程:数据结构与算法分析第四版

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"Data Structures & Algorithm Analysis in Cpp_4th_mark weiss_2013" 本书《Data Structures & Algorithm Analysis in C++》是Mark Allen Weiss编写的第四版,主要探讨了数据结构与算法分析在C++编程语言中的应用。作者Mark Allen Weiss是佛罗里达国际大学的教授,具有深厚的计算机科学背景,他的著作深入浅出地阐述了这一领域的核心概念。 数据结构是计算机科学中至关重要的一部分,它涉及到如何有效地存储和组织数据以便于高效地访问和修改。书中可能涵盖了诸如数组、链表、栈、队列、树(二叉树、平衡树如AVL和红黑树)、图等基本数据结构。这些数据结构的实现和操作对于理解和优化算法至关重要。 算法分析则是研究算法的时间复杂度和空间复杂度,以评估其在不同规模输入下的性能。书中的内容可能包括排序算法(如冒泡排序、插入排序、快速排序、归并排序和堆排序)、搜索算法(如线性搜索、二分搜索和哈希表搜索)以及图算法(如深度优先搜索、广度优先搜索和最短路径算法)等。此外,可能会涉及动态规划、贪心算法和回溯法等高级算法设计策略。 在C++编程语言的背景下,读者将学习如何利用C++的特性,如类和对象,来实现这些数据结构和算法,同时理解面向对象编程在解决这些问题上的优势。书中可能还会讨论C++模板、STL(标准模板库)的使用,如容器(如vector、list、set和map)和迭代器,它们为实现和操作数据结构提供了便利。 此外,这本书可能还涵盖了算法分析中的复杂度理论,如大O表示法,以及如何通过分析确定算法的运行时间。这有助于开发者在实际项目中选择合适的算法,以达到时间和空间效率的最佳平衡。 总体来说,《Data Structures & Algorithm Analysis in C++》第四版是一本全面介绍数据结构和算法的教材,适用于计算机科学的学生和专业人士,通过阅读此书,读者可以提升在C++环境中设计和分析算法的能力,从而更好地应对复杂的编程挑战。
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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.
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