Algorithm Analysis and Design Techniques

Author: He Hong
Publisher:
Publish Date: 2004-09-01
Features: This book systematically introduces the fundamental knowledge of computer algorithm analysis and design techniques. The book is divided into 5 chapters: Chapter 1 Algorithm Analysis Techniques, which introduces the concepts of time complexity and space complexity, as well as the definitions and symbols commonly used in algorithm analysis. Chapter 2 P Class, NP Class, and NPC Class are the theoretical foundations of algorithm research, providing a theoretical division of the difficulty of using computers to solve problems. Chapter 3 Algorithm Design Techniques, which presents common algorithm design techniques such as greedy algorithms, divide-and-conquer algorithms, dynamic programming, backtracking, branch and bound, and local search techniques. Chapter 4 Approximation Algorithms for Solving NP-Hard Problems, which provides the definition and performance analysis methods of approximation algorithms. Chapter 5 Random Algorithms, which introduces the general principles of random algorithms, examples of applications, and the performance distribution of random algorithms. This book is clear in concept, well-structured, and cites numerous examples, focusing on practical applications. It can be used as a textbook for algorithm analysis and design for undergraduate students in computer science and other related majors, as well as for graduate students.