Whether you're optimizing supply chains, schedules, or resource allocation, real-world problems rarely arrive in linear form. That’s where The MILP Linearization Handbook steps in.

This hands-on guide walks you through the essential tricks and patterns needed to transform complex logic into solvable mixed-integer linear programs (MILPs). With over 25 core modeling techniques and dozens of real-world patterns, this book demystifies topics like:

• Absolute values, min/max constraints, and piecewise-linear functions
• Logical expressions using binary variables
• Indicator constraints and the smart use of big-M
• Fixed costs, batching, and semi-continuous variables
• Special ordered sets (SOS), cardinality constraints, and more

Whether you're a practitioner building optimization models, a researcher looking for structured patterns, or a student trying to bridge theory and practice, this handbook is your go-to reference.