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

Recent Advances in Computational Optimization - Studies in Computational Intelligence ◽

10.1007/978-3-030-82397-9_20 ◽

2021 ◽

pp. 389-405

Author(s):

Venelin Todorov ◽

Ivan Dimov ◽

Tzvetan Ostromsky ◽

Zahari Zlatev ◽

Rayna Georgieva ◽

...

Keyword(s):

Air Pollution ◽

Sensitivity Analysis ◽

Monte Carlo ◽

Monte Carlo Methods ◽

Air Pollution Modelling ◽

Quasi Monte Carlo ◽

Van Der Corput Sequence

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

Communication Papers of the 2020 Federated Conference on Computer Science and Information Systems ◽

10.15439/2020f108 ◽

2020 ◽

Author(s):

Venelin Todorov ◽

Tzvetan Ostromsky ◽

Ivan Dimov ◽

Stefka Fidanova

Keyword(s):

Air Pollution ◽

Sensitivity Analysis ◽

Monte Carlo ◽

Monte Carlo Method ◽

Air Pollution Modelling ◽

Quasi Monte Carlo ◽

Low Discrepancy Sequences

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Global Sensitivity Analysis for Power Systems via Quasi-Monte Carlo Methods

2019 4th International Conference on System Reliability and Safety (ICSRS) ◽

10.1109/icsrs48664.2019.8987666 ◽

2019 ◽

Author(s):

Jamie Fox ◽

Giray Okten ◽

Bahri Uzunoglu

Keyword(s):

Sensitivity Analysis ◽

Monte Carlo ◽

Power Systems ◽

Monte Carlo Methods ◽

Global Sensitivity Analysis ◽

Global Sensitivity ◽

Quasi Monte Carlo

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A comparison of advanced quasi Monte Carlo methods for multidimensional integrals in air pollution modeling

10.1063/5.0034850 ◽

2020 ◽

Author(s):

V. Todorov ◽

I. Dimov ◽

Tz. Ostromsky

Keyword(s):

Air Pollution ◽

Monte Carlo ◽

Monte Carlo Methods ◽

Air Pollution Modeling ◽

Quasi Monte Carlo ◽

Pollution Modeling ◽

Multidimensional Integrals

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Randomized quasi-Monte Carlo methods in global sensitivity analysis

Reliability Engineering & System Safety ◽

10.1016/j.ress.2021.107520 ◽

2021 ◽

Vol 210 ◽

pp. 107520 ◽

Author(s):

Giray Ökten ◽

Yaning Liu

Keyword(s):

Sensitivity Analysis ◽

Monte Carlo ◽

Monte Carlo Methods ◽

Global Sensitivity Analysis ◽

Global Sensitivity ◽

Quasi Monte Carlo

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Sensitivity Analysis of an Air Pollution Model by Using Quasi-Monte Carlo Algorithms for Multidimensional Numerical Integration

Numerical Methods and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-030-10692-8_31 ◽

2019 ◽

pp. 281-289

Author(s):

Tzvetan Ostromsky ◽

Ivan Dimov ◽

Venelin Todorov ◽

Zahari Zlatev

Keyword(s):

Air Pollution ◽

Sensitivity Analysis ◽

Monte Carlo ◽

Numerical Integration ◽

Quasi Monte Carlo ◽

Monte Carlo Algorithms ◽

Air Pollution Model

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Advanced Quasi-Monte Carlo Algorithms for Multidimensional Integrals in Air Pollution Modelling

Advances in High Performance Computing - Studies in Computational Intelligence ◽

10.1007/978-3-030-55347-0_14 ◽

2020 ◽

pp. 155-167

Author(s):

Venelin Todorov ◽

Ivan Dimov ◽

Tzvetan Ostromsky ◽

Zahari Zlatev

Keyword(s):

Air Pollution ◽

Monte Carlo ◽

Air Pollution Modelling ◽

Quasi Monte Carlo ◽

Monte Carlo Algorithms ◽

Multidimensional Integrals

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Using Parallel Monte Carlo Methods in Large-Scale Air Pollution Modelling

Computational Science - ICCS 2004 - Lecture Notes in Computer Science ◽

10.1007/978-3-540-25944-2_64 ◽

2004 ◽

pp. 491-498

Author(s):

V. N. Alexandrov ◽

Z. Zlatev

Keyword(s):

Air Pollution ◽

Monte Carlo ◽

Monte Carlo Methods ◽

Large Scale ◽

Air Pollution Modelling

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A comparison of quasi-Monte Carlo methods based on Faure and Sobol sequences for multidimensional integrals in air pollution modeling

10.1063/1.5130792 ◽

2019 ◽

Author(s):

V. Todorov ◽

I. Dimov ◽

Yu. Dimitrov ◽

Tz. Ostromsky ◽

R. Georgieva

Keyword(s):

Air Pollution ◽

Monte Carlo ◽

Monte Carlo Methods ◽

Air Pollution Modeling ◽

Quasi Monte Carlo ◽

Pollution Modeling ◽

Multidimensional Integrals

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Decision-theoretic sensitivity analysis for reservoir development under uncertainty using multilevel quasi-Monte Carlo methods

Computational Geosciences ◽

10.1007/s10596-018-9735-7 ◽

2018 ◽

Vol 22 (4) ◽

pp. 1009-1020 ◽

Author(s):

Takashi Goda ◽

Daisuke Murakami ◽

Kei Tanaka ◽

Kozo Sato

Keyword(s):

Sensitivity Analysis ◽

Monte Carlo ◽

Monte Carlo Methods ◽

Quasi Monte Carlo ◽

Reservoir Development

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Correction to “Quasi-Monte Carlo methods for high-dimensional integration: the standard (weighted Hilbert space) setting and beyond”

ANZIAM Journal ◽

10.21914/anziamj.v54i0.6962 ◽

2013 ◽

Vol 54 ◽

pp. 216 ◽

Author(s):

F. Y. Kuo ◽

Ch. Schwab ◽

I. H. Sloan

Keyword(s):

Hilbert Space ◽

Monte Carlo ◽

Monte Carlo Methods ◽

High Dimensional ◽

Quasi Monte Carlo ◽

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