Advanced Lattice Rules for Multidimensional Sensitivity Analysis in Air Pollution Modelling
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-39864-3_16
Reference21 articles.
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3. Dimov, I.T., Georgieva, R.: Monte Carlo method for numerical integration based on sobol’ sequences. In: Dimov, I., Dimova, S., Kolkovska, N. (eds.) Numerical Methods and Applications. Lecture Notes in Computer Science, vol. 6046, pp. 50–59. Springer, Berlin (2011)
4. Dimov, I.T., Georgieva, R.: Multidimensional sensitivity analysis of large-scale mathematical models. In: Iliev, O.P., et al. (eds.) Numerical Solution of Partial Differential Equations: Theory, Algorithms, and Their Applications. Springer Proceedings in Mathematics & Statistics, vol. 45, pp. 137–156. Springer, New York (2013)
5. Dimov, I.T., Georgieva, R., Ostromsky, T.Z., Zlatev, Z.: Advanced algorithms for multidimensional sensitivity studies of large-scale air pollution models based on sobol sequences. Comput. Math. Appl. 65(3), 338–351 (2013). “Efficient Numerical Methods for Scientific Applications”. Elsevier
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