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Optimized Monte Carlo Methods for Sensitivity Analysis for Large-Scale Air Pollution Model

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Multidimensional Sensitivity Analysıs of an Air Pollution Model Based on Modifications of the van der Corput Sequence

von Todorov, Venelin
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Quasi-Monte Carlo Methods Based on Low Discrepancy Sequences for Sensitivity Analysis in Air Pollution Modelling

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Veröffentlicht in Society for Industrial and Applied Mathematics (14. : 2019 : Sofia) Advanced computing in industrial mathematics (2023)

Optimized Quasi-Monte Carlo Methods Based on Van der Corput Sequence for Sensitivity Analysis in Air Pollution Modelling

von Todorov, Venelin
Veröffentlicht in Workshop on Computational Optimization (13. : 2020 : Sofia) Recent Advances in Computational Optimization (2022)

Sensitivity Study of a Large-Scale Air Pollution Model by Using Latin Hypercube Sampling

von Todorov, Venelin
Veröffentlicht in Society for Industrial and Applied Mathematics (14. : 2019 : Sofia) Advanced computing in industrial mathematics (2023)

Sensitivity Study of a Large-Scale Air Pollution Model by Using Optimized Latin Hyprecube Sampling

von Todorov, Venelin
Veröffentlicht in Workshop on Computational Optimization (13. : 2020 : Sofia) Recent Advances in Computational Optimization (2022)