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Optimization

Program

Optimality conditions and duality theory for conic, convex, non-linear, non-differentiable and multi-objective optimization. Depending on the approach to the course, other topics might be considered, such as numerical methods for continuous optimization, algebraic methods and representability in polynomial optimization and semi-definite programming, or continuous relaxations for combinatorial problems.

Research and Events

Events

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Defended Theses

  • Some analytic and algebraic problems in the theory of orthogonal polynomials
      Alexandre Suzuki (November 2025)
      Kenier Castillo
  • Contributions to the theory of metric mean dimension
      Gustavo Sperotto Pessil (September 2025)
      Maria Pires de Carvalho
      Paulo Varandas
  • Numerical semigroups: a conjecture of Wilf and related topics
      Neeraj Kumar (July 2025)
      Manuel Delgado
      Claude Marion
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