Discrete optimization models are used to tackle a wide variety of problems in many fields, including operations research, management science, engineering, and mathematics. Written by two internationally recognized integer programming experts, this book presents the mathematical foundations, theory, and algorithms of discrete optimization methods.
Focusing on optimization problems involving discrete or integer variables, this practical guide offers a comprehensive approach to solving complex mathematical challenges. It includes updated methodologies, algorithms, and real-world applications, making it an essential resource for students and professionals alike. The book emphasizes clarity and accessibility, providing step-by-step instructions and examples to enhance understanding. With its revised content, it serves as a valuable reference for those looking to deepen their knowledge in optimization techniques.
This textbook offers a thorough approach to modeling and optimizing production and supply chain planning problems. It covers topics from basic planning systems to advanced mathematical results, aimed at helping students and non-experts use MIP software effectively. The book includes case studies, exercises, and a problem-solving library for practical application.