Efficient stochastic approaches for sensitivity studies of an Eulerian large-scale air pollution model von Dimov, I., Georgieva, R., Todorov, V., Ostromsky, Tz

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Sensitivity analysis of the Unified Danish Eulerian Model with respect to emission levels and chemical reaction rates von Todorov, V., Dimov, I., Georgieva, R., Ostromsky, Tz

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A comparison of Monte Carlo methods for multidimensional integrals in air pollution modeling based on Latin Hypercube Sampling Edge Algorithm von Todorov, V., Dimov, I., Ostromsky, Tz, Georgieva, R.

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A comparison of advanced quasi Monte Carlo methods for multidimensional integrals in air pollution modeling von Todorov, V., Dimov, I., Ostromsky, Tz

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Monte Carlo methods for sensitivity studies of large-scale air pollution model von Ostromsky, Tz, Todorov, V., Dimov, I.

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Advanced algorithms for multidimensional sensitivity studies of large-scale air pollution models based on Sobol sequences von Dimov, I., Georgieva, R., Ostromsky, Tz, Zlatev, Z.

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A comparison of quasi-Monte Carlo methods based on Faure and Sobol sequences for multidimensional integrals in air pollution modeling von Todorov, V., Dimov, I., Dimitrov, Yu, Ostromsky, Tz, Georgieva, R.

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Monte Carlo sensitivity analysis of an Eulerian large-scale air pollution model von Dimov, I., Georgieva, R., Ostromsky, Tz

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Studying the sensitivity of pollutants’ concentrations caused by variations of chemical rates von Dimov, I., Georgieva, R., Ivanovska, S., Ostromsky, Tz, Zlatev, Z.

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Calculating losses of crops in Denmark caused by high ozone levels von Zlatev, Z, Dimov, I, Ostromsky, Tz, Geernaert, G, Tzvetanov, I, Bastrup-Birk, A

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Computational challenges in the numerical treatment of large air pollution models von Dimov, I., Georgiev, K., Ostromsky, Tz, Zlatev, Z.

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Using dense matrix computations in the solution of sparse problems von Ostromsky, Tz, Zlatev, Z.

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A parallel sparse QR-factorization algorithm von Ostromsky, Tz, Hansen, P. C., Zlatev, Z.

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Two enhancements in a partitioned sparse code von Hansen, P. C., Ostromsky, Tz, Zlatev, Z.

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Parallel solution of sparse problems by using a sequence of large dense blocks von Ostromsky, Tz, Salvini, S., Wasniewski, J., Zlatev, Z.

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A coarse-grained parallel QR-factorization algorithm for sparse least squares problems von Ostromsky, Tz, Hansen, P.C., Zlatev, Z.

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Solving sparse linear least-squares problems on some supercomputers by using large dense blocks von Hansen, P. C., Ostromsky, Tz, Sameh, A., Zlatev, Z.

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Improving the numerical stability and the performance of a parallel sparse solver von van Duin, A.C.N., Hansen, P.C., Ostromsky, Tz, Wijshoff, H., Zlatev, Z.

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A locally optimized reordering algorithm and its application to a parallel sparse linear system solver von GALLIVAN, K, HANSEN, P. C, OSTROMSKY, T, ZLATEV, Z

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