Optimization Online is a repository of Eprints about optimization and related topics.
Submissions to Optimization Online are moderated by a team of volunteer coordinators. Coordinators check submissions for correctness of author-title-link information, but make no claim about quality or correctness of the reports.
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Recent Eprints
- Adaptive Importance Sampling Based Surrogation Methods for Bayesian Hierarchical Models, via Logarithmic Integral Optimization
Published 2023/05/28 by Ziyu He, Junyi Liu, Jong-Shi Pang - Distributionally Robust Linear Quadratic Control
Published 2023/05/26 by Bahar Tașkesen, Dan Iancu, Çağıl Koçyiğit, Daniel Kuhn - Sampling-based Decomposition Algorithms for Multistage Stochastic Programming
Published 2023/05/26 by Harsha Gangammanavar - Sample average approximation and model predictive control for inventory optimization
Published 2023/05/26 by Dominic S. T. Keehan, Andrew B. Philpott, Edward Anderson - Polyhedral Newton-min algorithms for complementarity problems
Published 2023/05/24 by Jean-Pierre Dussault, Mathieu Frappier, Jean Charles Gilbert - On the Regulatory and Economic Incentives for Renewable Hybrid Power Plants in Brazil
Published 2023/05/23 by Alexandre Street - Safely Learning Dynamical Systems
Published 2023/05/20 by Abraar Chaudhry, Amir Ali Ahmadi, Vikas Sindhwani, Stephen Tu - Political districting to optimize the Polsby-Popper compactness score
Published 2023/05/19 by Pietro Belotti, Austin Buchanan, sorayaezazipour - On the equilibrium prices of a regular locally Lipschitz exchange economy
Published 2023/05/19 by Xuan Duc Ha Truong - Asynchronous Iterations in Optimization: New Sequence Results and Sharper Algorithmic Guarantees
Published 2023/05/18 by Hamid Reza Feyzmahdavian, Mikael Johansson