Researchers from the Universidad Politécnica Salesiana in Ecuador have developed an interactive analytical framework designed to help universities move digital transformation from broad strategy ...

Abstract: In this article, we deal with stochastic optimization problems where the data distributions change in response to the decision variables. Traditionally, the study of optimization problems ...

Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Ave. Eugenio Garza Sada 2501, Monterrey, Nuevo León 64849, Mexico ...

Abstract: Despite the recent development of distributed constrained optimization algorithms in the literature, it is still a challenging issue to construct distributed algorithms to efficiently solve ...

The repository contains the source code for the numerical experiments considered in Space Mapping for PDE Constrained Shape Optimization by Sebastian Blauth. To run the code, you have to install ...

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Constrained Policy Optimization is a safe reinforcement learning algorithm that solves constrained Markov decision processes to ensure safety. Our implementation is a ...