Decomposition methods for multi-horizon stochastic programming
Fairness by design in shared-energy allocation problems
Hybrid simplicial-randomized approximate stochastic dynamic programming for multireservoir optimization
A Distributed Approach to Meteorological Predictions: Addressing Data Imbalance in Precipitation Prediction Models through Federated Learning and GANs
Decomposition Methods for Monotone Two-Time-Scale Stochastic Optimization Problems
Distributions and Bootstrap for Data-based Stochastic Programming
Affiliations based bibliometric analysis of publications on Parkinson’s Disease
Analysis of weakly correlated nodes in market network
Decentralized Convex Optimization on Time-Varying Networks with Application to Wasserstein Barycenters
Clusterization in planted partition model
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