Data Structure Practice Tutorial

Author: Fu Baiven, Editor-in-Chief
Publisher:
Publish Date: 2005-04-01
Features: This book includes chapters on basic training knowledge, linear lists, stacks and queues, character strings and multidimensional arrays, trees, graphs, sorting, searching, and comprehensive training. In terms of content arrangement, it covers key knowledge points of each chapter, case analyses, training projects, as well as exercises and reflection questions related to the examples. The training cases not only include analysis, design, and specific solutions but also propose discussion, reflection, and exercise questions. In algorithm descriptions, intuitive forms such as natural language and graphics are used to highlight algorithms while minimizing program details. The cases and training projects cover key knowledge points while being closely related to learning and real-life scenarios. This book can be used as a supplementary text for data structure textbooks described in process-oriented languages, or as a reference for experimental and training materials for vocational and technical college program design majors. It is also suitable for computer engineering and application professionals.