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This book Introduction to Operations Research and Application of Python: provides a comprehensive overview of operations research (OR), covering its principles, mathematical modeling, and optimization techniques. It details key OR concepts, including linear programming, transportation and assignment problems, sequencing, replacement strategies, game theory, queuing systems, and project network analysis. The book systematically introduces these topics, explaining their formulation, solution methods, and real-world significance, making it a valuable resource for students and professionals.
A key highlight of this book is the integration of Python applications in OR, demonstrating how computational tools enhance problem-solving efficiency. The Python section covers libraries for optimization, graphical solutions for linear programming, and implementations for solving transportation and assignment models. By bridging theoretical knowledge with practical computational approaches, this textbook serves as an essential guide for mastering OR techniques and their modern applications.
