大话数据结构 高清PDF

大话数据结构 高清PDF

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《大话数据结构【溢彩加强版】》以一个计算机教师的教学过程为场景,讲解数据结构和相关算法的知识。全书以趣味方式来叙述,大量引用各种各样的生活知识来类比,并充分运用全彩色图形语言来解读抽象内容,对数据结构所涉及的一些经典算法做出逐行分析、多算法比较。与同类图书相比,《大话数据结构【溢彩加强版】》内容有趣易读,算法讲解细致深入,是一本非常适合自学的读物。

对于学习数据结构来说,难点之一是对相关算法的理解。《大话数据结构【溢彩加强版】》创新性地采用全彩印刷,图表、流程、代码等内容结合色彩来重新进行约定和归纳,使得对一些难以理解的知识点的解析更加清晰顺畅,极大提升了阅读体验。

《大话数据结构【溢彩加强版】》主要内容包含:数据结构介绍、算法推导大O阶的方法;顺序结构与链式结构差异、栈与队列的应用;串的朴素模式匹配、KMP模式匹配算法;二叉树前中后序遍历、哈夫曼树及应用;图的深度、广度遍历;最小生成树两种算法、最短路径两种算法;拓扑排序与关键路径算法;折半查找、插值查找、斐波那契查找等静态查找;稠密索引、分块索引、倒排索引等索引技术;二叉排序树、平衡二叉树等动态查找;B树、B+树技术,散列表技术;冒泡、选择、插入等简单排序;希尔、堆、归并、快速等改进排序。

《大话数据结构【溢彩加强版】》适合学过一门编程语言的各类读者,包括在读的大中专计算机专业学生、想转行做开发的非专业人员、欲考计算机专业研究生的应届生或在职人员,以及工作后需要补学或温习数据结构和算法的程序员等。

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"Dahua Data Structure [Yicai Enhanced Edition]" uses the teaching process of a computer teacher as a scene to explain the knowledge of data structures and related algorithms.

The whole book is narrated in an interesting way, citing a variety of life knowledge for analogy, and making full use of full-color graphic language to interpret abstract content, making line-by-line analysis and multi-algorithm comparisons of some classic algorithms involved in data structures.

Compared with similar books, "Dahua Data Structure [Yicai Enhanced Edition]" is interesting and easy to read, and the algorithm is detailed and in-depth. It is a very suitable reading for self-study.

One of the difficulties for learning data structures is the understanding of the associated algorithms. "Dahua Data Structure [Yicai Enhanced Edition]" innovatively uses full-color printing, charts, processes, codes and other content are combined with color to re-contract and summarize, which makes the analysis of some incomprehensible knowledge points clearer and smoother. Greatly improved reading experience.

The main contents of "Dahua Data Structure [Yicai Enhanced Edition]" include: data structure introduction, algorithm derivation method of big O order; difference between sequential structure and chain structure, application of stack and queue; simple pattern matching of strings, KMP pattern matching Algorithms; binary tree pre-middle-post-order traversal, Huffman trees and their applications; depth and breadth traversal of graphs; two minimum spanning tree algorithms and two shortest path algorithms; topological sorting and critical path algorithms; Static search such as Bonacci search; index technologies such as dense index, block index, inverted index; dynamic search such as binary sorting tree and balanced binary tree; B-tree, B+ tree technology, hash table technology; bubbling, selection, insertion Simple sorting, etc.; improved sorting such as Hill, Heap, Merge, Quick, etc.

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