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       <li>[[Geometric programming]]</li>
       <li>[[Geometric programming]]</li>
       <li>[[Nondifferentiable Optimization]]</li>
       <li>[[Nondifferentiable Optimization]]</li>
      <li>[[Evolutionary multimodal optimization]]</li>
      <li>[[Stackelberg leadership model]]</li>
      <li>[[Quadratic constrained quadratic programming]]</li>
      <li>[[Derivative free optimization]]</li>
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       <li>[[Unit commitment problem]]</li>
       <li>[[Unit commitment problem]]</li>
       <li>[[Portfolio optimization]]</li>
       <li>[[Portfolio optimization]]</li>
      <li>[[A-star algorithm]]</li>
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! style="padding:2px" | <h2 id="mp-dyk-h2" style="margin:3px; background:#cef2e0; font-size:120%; font-weight:bold; border:1px solid #a3bfb1; text-align:left; color:#000; padding:0.2em 0.4em;"> Emerging Applications</h2>
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      <li>[[Wing shape optimization]]</li>
      <li>[[Optimization in game theory]]</li>
      <li>[[Quantum computing for optimization]]</li>
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       <li>[[Frank-Wolfe]]</li>
       <li>[[Frank-Wolfe]]</li>
       <li>[[Sparse Reconstruction with Compressed Sensing]]</li>
       <li>[[Sparse Reconstruction with Compressed Sensing]]</li>
      <li>[[Adadelta]]</li>
      <li>[[Adafactor]]</li>
      <li>[[AdamW]]</li>
      <li>[[Adamax]]</li>
      <li>[[FTRL algorithm]]</li>
      <li>[[Lion algorithm]]</li>
      <li>[[LossScaleOptimizer]]</li>
      <li>[[Nadam]]</li>
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       <li>[[Bayesian optimization]]</li>
       <li>[[Wing shape optimization]]</li>
       <li>[[Genetic algorithm]]</li>
       <li>[[Optimization in game theory]]</li>
       <li>[[Simulated annealing]]</li>
       <li>[[Quantum computing for optimization]]</li>
      <li>[[Particle swarm optimization]]</li>
      <li>[[Differential evolution]]</li>
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Revision as of 20:45, 9 October 2023

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


Retrieved from "https://optimization.cbe.cornell.edu/index.php?title=Main_Page&oldid=6709"