Operations Research Tutorial - (Second Edition)

Author: Hu Yunquan
Publisher:
Publish Date: 2005-03-01
Features: This book is collectively written by teachers from well-known domestic universities who have long been engaged in teaching operations research. Its content is closely integrated with the characteristics of economic management majors. The book has a print run of 83,000 copies, indicating its wide usage and popularity among readers. It systematically presents the basic concepts, theories, methods, and models of linear programming, goal programming, integer programming, dynamic programming, graph and network analysis, queuing theory, inventory theory, game theory, decision theory, as well as data envelopment analysis and heuristic algorithms for operations research problems. Exercises are provided at the end of each chapter to help review basic knowledge and assess learning outcomes. This book can serve as a textbook for undergraduate and graduate students in economic management and other science and engineering disciplines at universities and colleges, as well as a self-study reference for engineering technicians and economic management personnel. This book is collectively written by teachers from well-known domestic universities who have long been engaged in teaching operations research. Its content is closely integrated with the characteristics of economic management majors. The book has a print run of 83,000 copies, indicating its wide usage and popularity among readers. It systematically presents the basic concepts, theories, methods, and models of linear programming, goal programming, integer programming, dynamic programming, graph and network analysis, queuing theory, inventory theory, game theory, decision theory, as well as data envelopment analysis and heuristic algorithms for operations research problems. Exercises are provided at the end of each chapter to help review basic knowledge and assess learning outcomes. This book can serve as a textbook for undergraduate and graduate students in economic management and other science and engineering disciplines at universities and colleges, as well as a self-study reference for engineering technicians and economic management personnel.