Linear and Integer Optimization

Discover the essential resource for optimization enthusiasts with the third edition of Linear and Integer Optimization by Taylor & Francis Ltd. Published in 2024, this comprehensive textbook spans 686 pages, delivering a robust exploration of both theoretical concepts and practical applications in optimization.

Delve into foundational topics such as Dantzig’s simplex algorithm, duality, and sensitivity analysis, while also advancing your understanding with more complex subjects like interior point algorithms, the branch-and-bound algorithm, and cutting planes. This book is designed to bridge the gap between theory and practice, making it an invaluable tool for students and professionals alike.

Whether you are looking to enhance your knowledge or apply optimization techniques in real-world scenarios, Linear and Integer Optimization is the perfect guide for your journey.