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Optimized Quasi-Monte Carlo Method Based on Low Discrepancy Sequences for Sensitivity Analysis in Air Pollution Modelling

Venelin Todorov, Tzvetan Ostromsky, Ivan Dimov, Stefka Fidanova. Optimized Quasi-Monte Carlo Method Based on Low Discrepancy Sequences for Sensitivity Analysis in Air Pollution Modelling. In Maria Ganzha, Leszek A. Maciaszek, Marcin Paprzycki, editors, Communication Papers of the 2020 Federated Conference on Computer Science and Information Systems, FedCSIS 2020, Sofia, Bulgaria, September 6-9, 2020. pages 25-28, 2020. [doi]

Authors

Venelin Todorov

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Tzvetan Ostromsky

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Ivan Dimov

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Stefka Fidanova

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