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Home > Mathematics and Science Textbooks > Mathematics > Optimization > Linear programming > The MILP Optimization Handbook: A Comprehensive Guide to Mixed-Integer Linear Programming, Algorithms, and Real-World Applications
The MILP Optimization Handbook: A Comprehensive Guide to Mixed-Integer Linear Programming, Algorithms, and Real-World Applications

The MILP Optimization Handbook: A Comprehensive Guide to Mixed-Integer Linear Programming, Algorithms, and Real-World Applications


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About the Book

Unlock the power of Mixed-Integer Linear Programming (MILP) to solve real-world optimization problems. The MILP Optimization Handbook is a complete guide for graduate students, researchers, engineers, and data scientists who want to master MILP from theory to practice. Written in a clear and accessible style, this handbook blends rigorous mathematics with hands-on examples, making it both a reference guide and a practical tutorial. Inside you will discover: Foundations of MILP: Core concepts, mathematical formulations, and polyhedral theory explained step by step. Algorithms and Solvers: Deep insights into branch-and-bound, cutting planes, decomposition, and modern solver technologies (Gurobi, CPLEX, OR-Tools, CBC). Advanced Techniques: Preprocessing, relaxations, decomposition, and robust optimization strategies. Practical Applications: Real-world case studies in supply chain, energy systems, finance, scheduling, telecommunications, and machine learning. Hands-On Modeling: Complete Python examples with Pyomo, PuLP, Gurobi, and CPLEX, plus solver tuning tips for better performance. Beyond MILP: Explore MINLP, hybrid approaches with constraint programming, and future trends in quantum optimization. This handbook is designed to be the only MILP resource you'll ever need - whether you are building optimization models in academia, applying advanced decision science in industry, or conducting research at the frontier of operations research. Why choose this book? Comprehensive coverage: From basics to state-of-the-art techniques. Balanced learning: Theory + real code examples + applied case studies. Practical focus: Clear explanations and reproducible examples for immediate application. If you want to solve complex optimization problems with confidence and stay ahead in the data-driven world, The MILP Optimization Handbook is your essential companion.


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Product Details
  • ISBN-13: 9798264331756
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 229 mm
  • No of Pages: 200
  • Returnable: N
  • Sub Title: A Comprehensive Guide to Mixed-Integer Linear Programming, Algorithms, and Real-World Applications
  • Width: 152 mm
  • ISBN-10: 8264331750
  • Publisher Date: 07 Sep 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 11 mm
  • Weight: 240 gr


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