Data structures and algorithms tutorial - (C + + Edition)(Chinese Edition) - Tapa blanda

Colleges computer course planning materials: data structures and algorithms tutorial (C + + Edition)(Chinese Edition)

paperback. Condición: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date: November 2012 Pages: 378 Language: Chinese Publisher: Tsinghua University Press college computer curriculum planning textbook: data structures and algorithms tutorial (C + + Edition) co-c + + object-oriented programming features. build data structures and algorithms. the book. all of the algorithms in visualc + +6.0. visualc + +2005. visualc + +2005 express. dev-c + + and mingwdeveloperstudio development environment. rigorous testing. and of personal web pages teaching support content. Colleges computer courses planning materials: data structures and algorithms tutorial (C + + Edition) is divided into 11 chapters. Chapter 1 is the basic knowledge to introduce basic concepts and its terminology. to discuss the utility package; Chapter 2 introduces the linear table ; Chapter 3 describes the stacks and queues. expression evaluation stack implementation; Chapter 4 introduces string. discussed in detail the string storage structure and pattern matching algorithm; Chapter 5 describes the array and generalized table. first proposed the generalized table space table storage structure; Chapter 6 presents a tree structure. application of Huffman coding to achieve compression software; Chapter 7 describes the graph structure. commonly used storage structure of Figure discuss graph-related applications. and the realization of the corresponding algorithm; Chapter 8 Find introduced to discuss static lookup table dynamically find a look-up table and hash table and all algorithms; Chapter 9 describes the sort to achieve a variety of sorting algorithms in a concise manner; Chapter 10 documents to discuss a variety of common file structure; Chapter 11 describes the algorithm design techniques and algorithm analysis technology. Colleges computer courses planning materials: data structures and algorithms tutorial (C + + Edition) in content organization. especially considering the acceptability of the readers; algorithm. and a strong focus on the readability of the program; and exercises on achieve greater functionality further the machine experiments or curriculum design. Colleges and universities computer curriculum planning textbook: data structures and algorithms tutorial (C + + Edition) learning. the reader not only can quickly improve the level of data structures and algorithms of. but also improve the c + + programming ability. through the appropriate choice. colleges and universities computer course planning materials: data structures and algorithms tutorial (C + + Edition) can be as a data structure. data structure and algorithm analysis. the data structure and algorithm design. data structures and algorithms such as curriculum materials. colleges and universities computer curriculum planning textbook: data structures and algorithms tutorial (C + + Edition) as institutions of higher learning computer and related materials are also available for other readers to engage in software development work to learn to use and reference. Contents: Chapter 1 Introduction 1.1 data structure concept and the need for learning data structures the basic concepts of data structures 1.2 1.3 abstract data types and their 1.4 algorithm and algorithm analysis 1.5 utility package 1.6-depth learning REVIEW 1.7 Exercises Chapter 2 2.3 linear tables of linear Table 2.1 linear logic table structure 2.2 linear sequential storage structure of the table the chain storage structure 2.4 Case study: a polynomial 2.5 Guidance 2.6 Exercises Chapter 3 stack and queue depth study 3.1 stack 3.2 queue 3.3 Case study: the expression is evaluated 3.4-depth learning REVIEW 3.5 Exercises Chapter 4. the definition of the string type string 4.1 4.2 string to achieve 4.3 string pattern matching algorithm 4.4 Case Study: Text Edit 4.5 4.6 Exercises depth learning REVIEW Chapter 5 arrays and generalized matrix 5.3 5.2 5.1 array generalized table 5.4-depth study R. Nº de ref. del artículo: NG010999

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