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Unlock the power of Quadratic Programming (QP) and Mixed Integer Linear Programming (MILP) using SciPy and GEKKO. In this tutorial, you’ll learn how to formulate, solve, and analyze optimization problems commonly used in chemical engineering, operations research, and data science.
🔹 What You’ll Learn:
✅ Understanding Quadratic Programming (QP)
✅ Introduction to Mixed Integer Linear Programming (MILP)
✅ Solving optimization problems using SciPy & GEKKO 🔍
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