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       <li>[[Facility location problem]]</li>
 
       <li>[[Facility location problem]]</li>
 
       <li>[[Traveling salesman problem]]</li>
 
       <li>[[Traveling salesman problem]]</li>
      <li>[[Portfolio optimization]]</li>
 
 
       <li>[[Set covering problem]]</li>
 
       <li>[[Set covering problem]]</li>
      <li>[[Unit commitment problem]]</li>
 
 
       <li>[[Quadratic assignment problem]]</li>
 
       <li>[[Quadratic assignment problem]]</li>
 
       <li>[[Newsvendor problem]]</li>  
 
       <li>[[Newsvendor problem]]</li>  
 +
      <li>[[Unit commitment problem]]</li>
 +
      <li>[[Portfolio optimization]]</li>
 
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Latest revision as of 18:06, 17 November 2020

Welcome to the Cornell University Computational Optimization Open Textbook

This electronic textbook is a student-contributed open-source text covering a variety of topics on process optimization.
If you have any comments or suggestions on this open textbook, please contact Professor Fengqi You.

Linear Programming (LP)

NonLinear Programming (NLP)

Deterministic Global Optimization

Dynamic Programming

Traditional Applications

Mixed-Integer Linear Programming (MILP)

Mixed-Integer NonLinear Programming (MINLP)

Optimization under Uncertainty

Optimization for Machine Learning and Data Analytics

Emerging Applications

Cornell Prof. Fengqi You Research Group