Highly Accurate Scrambled Stochastic Approaches for Multidimensional Sensitivity Analysis in Air Pollution Modeling
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-21484-4_35
Reference21 articles.
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3. Dimov I.T. , Georgieva R., Ostromsky Tz, Zlatev Z.: Advanced Algorithms for Multidimensional Sensitivity Studies of Large-scale Air Pollution Models based on Sobol Sequences. Special issue of Computers and Mathematics with Applications 65 (3), “Efficient Numerical Methods for Scientific Applications". Elsevier, (2013), 338 - 351.
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5. Halton J.: On the efficiency of certain quasi-random sequences of points in evaluating multi-dimensional integrals, Numerische Mathematik, Vol. 2, (1960), 84–90.
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