From Cornell University Computational Optimization Open Textbook - Optimization Wiki
Author: Yousef Aloufi (CHEME 6800 Fall 2021)
Introduction
Theory
Example
Minimize

Subject to 









Solution
Step 1a: Start from

and solve the NLP below:
Minimize 
Subject to 







Solution: 
, Upper Bound = 7
Step 1a: Solve the MILP master problem with OA for
:
![{\displaystyle f{\big (}x{\big )}={\big (}x_{1}{\big )}^{2}+{\big (}x_{2}{\big )}^{2},~~\bigtriangledown f{\big (}x{\big )}=[2x_{1}~~2x_{1}]^{T}~~for~~x^{*}=[2,1]^{T}}](https://wikimedia.org/api/rest_v1/media/math/render/svg/53a4da719bf07dc10c836a41caa820990b28459d)
![{\displaystyle f{\big (}x^{*}{\big )}+\bigtriangledown f{\big (}x^{*}{\big )}^{T}{\big (}x-x^{*}{\big )}=5+[4~~2]{\begin{bmatrix}x_{1}-2\\x_{2}-1\end{bmatrix}}=5+4{\big (}x_{1}-2{\big )}+2{\big (}x_{2}-1{\big )}}](https://wikimedia.org/api/rest_v1/media/math/render/svg/3fe42ec283c576d02867a34dfb5e1aa6fbeba827)
Conclusion
References