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Marsha Gómez edited this page Apr 23, 2023 · 29 revisions


Optimization
Optimization Methods and Game Theory

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Optimization Methods and Game Theory

This project was created with the main object of create a complete repository with all the University of Pisa Material to study for the course of Optimization Methods and Game Theory. You can take a look at the final Documentation on this link and the wiki report here


Material

  1. Introduction
  2. Preliminaries on convex sets and convex functions
  3. Existence of optimal solutions and optimality conditions
  4. Lagrangian duality
  5. Support Vector Machines for classification problems
  6. Regression problems
  7. Clustering problems
  8. Solution methods for unconstrained optimization problems
  9. Solution methods for constrained optimization problems
  10. Multiobjective optimization problems
  11. Noncooperative game theory

Exercise

Exams