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"Inner approximations of stochastic programs for data-driven stochastic ..."

Frederik Baymler Mathiesen et al. (2023)

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DOI: 10.48550/ARXIV.2304.04505

access: open

type: Informal or Other Publication

metadata version: 2024-03-26

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Frederik Baymler Mathiesen, Licio Romao, Simeon C. Calvert, Alessandro Abate, Luca Laurenti:
Inner approximations of stochastic programs for data-driven stochastic barrier function design. CoRR abs/2304.04505 (2023)

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