Poster sessions

Poster sessions will be held during coffee breaks.

Session: Mon, 23th — Afternoon

  • Adriana Kroenke — A Fuzzy Multiobjective Decision Model
  • Jorge Luis Gutierrez Santos — Local convergence of Quasi-Newton Methods for unconstrained Multiobjective optimization
  • Maiara Cristina de Freitas — Origami Simulator for Applications in Textile Design
  • Nelson Hein — Moderate Pessimism as a Decision-Making Model
  • Wendell Oliveira — A Mean Field Game Model for Energy Markets

Session: Tue, 24th — Morning

  • Alejandra Muñoz González — Projected Gradient Method on Hadamard Manifolds
  • Eduarda Ferreira Zanatta — The method of ellipcenters, a new first order technique for unconstrained optimization
  • Emanuel Mendes Queiroz — Generalizations of LICQ in NSDP
  • Juliana Gomes da Silva — Augmented Lagrangian algorithms for solving the continuous
  • Samuel Kutz Paranhos — Physics-Informed Neural Networks for Numerical Approximations of the Boussinesq System of Partial Differential Equations

Session: Tue, 24th — Afternoon

  • Eduardo Fornazieri — A Hybrid safeguarded/classical augmented Lagrangian method: the best of both worlds
  • João Pedro Moresca Martins — Spectral methods and VU theory for nonsmooth convex optimization
  • Juan Sebastián Castaño Franco — Sensitivity analysis and optimization of centroidal Voronoi tessellations with geometric constraints
  • Kauan Carlos Rigoleto Fernandes — Comparing Gradient-Based Optimization Strategies for Neural Network Training
  • Luciano Santana Begot — General descent methods for unconstrained multiobjective optimization via scalarization

Session: Wed, 25th — Morning

  • Marcos Vinícius Barreto dos Santos — A Pseudopolynomial Algorithm for Maximizing a Linear Objective over Integer Points in n-Dimensional Ellipsoids
  • Matias Oliveira Schwarz — Circumcenters for constrained optimization
  • Murilo Felício Nascimento dos Santos — An Efficient Min-Plus Algorithm for the Minimum Mean Cycle Problem
  • Pedro Antônio Testoni Junior — Randomized Circumcentered-Reflection Methods for Linear Systems
  • Rodrigo Marques Faustino da Silva — Optimal Surface for a Uniform Moser–Trudinger-Type Estimate on Musielak–Orlicz Spaces in 2D

Session: Thu, 26th — Afternoon

  • Elivandro Grippa — Inexact Restoration Method for Efficient Hyperparameter Tuning of Support Vector Machines
  • Fabio A. Fortunato — Ensemble Averaging for Machine Learning to Predict the Number of People in a University Restaurant at Unicamp
  • Giovana Melo dos Santos — Machine Learning Methods for the Volumetric Analysis of Unicamp’s University Restaurants
  • Luiz Fernando Bossa — Ordinal regression based on ensemble of classifiers
  • Vitória Caroline Blau — Linear Regression as a Least Squares Problem: Convex Optimization Foundations and Application to the Diabetes Dataset

Session: Thu, 26th — Morning

  • Catherine Josefa Lemun Lemun — Exploiting nonsmooth structures in two-stage stochastic programming problems
  • Felipe Kaminsky Riffel — Effects of inertial parameters in implicit iterative methods for nonlinear inverse problems
  • Marcelo Marcel Cordova — Computationally Efficient Approaches to Equilibrium Problems: Application to Natural Gas Markets
  • Vinicius Rosário das Chagas — Necessary optimality conditions for non-Lipschitz nonlinear programs
  • Matías Valdés — Characterization of Logarithmic Fekete Critical Configurations of at Most Six Points in All Dimensions

Session: Fri, 27th — Morning

  • Gabriel Cezar Burgon — Continuous formulation for the integer knapsack problem via quadratic programming
  • Juan Daniel Copacondo Mamani — Second-order Optimality Conditions with a Bounded Rank Increase
  • Maria Gilma Agudelo Hernandez — CPLD as a Constraint Qualification in Semi-Infinite Programming
  • Matheus Fideles Leite — A New Inexact Restoration method for optimization problems with inaccuracies
  • Piero Andreeto Liduvino Ribeiro — Active-Set Newton Method for Nash Equilibrium Problems