Ivan Dimov

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-2022-

An unbiased Monte Carlo method to solve linear Volterra equations of the second kind, Dimov I., Maire S., Todorov V., Neural Computing and Applications, Springer, 2022, JCR-IF (Web of Science): 5.606, Q1, https://doi.org/10.1007/s00521-021-06417-5

A study of highly efficient stochastic sequences for multidimensional sensitivity analysis, I. Dimov, V. Todorov, K. Sabelfeld, Monte Carlo Methods and Applications, 28, 1, De Gruyter, 2022, DOI: https://doi.org/10.1515/mcma-2022-2101, 1-12. SJR (Scopus): 0.423, Q3 (Scopus), https://doi.org/10.1007/s00521-021-06417-5

Sensitivity Study of Large-Scale Air Pollution Model Based on Modifications of the Latin Hypercube Sampling Method, Ostromsky Тz., Todorov V., Dimov I., Georgieva R., Zlatev Z., Poryazov S. Lecture Notes in Computer Science, 13127, Springer, 2022, DOI: https://doi.org/10.1007/978-3-030-97549-4_18, 156-163. SJR (Scopus): 0.249, Q3 (Scopus), https://www.scimagojr.com/journalsearch.php?q=25674&tip=sid&clean=0

Advanced Stochastic Approaches Based on Optimization of Lattice Sequences for Large-Scale Finance Problems, Todorov V., Dimov I., Georgieva R., Apostolov S., Poryazov S., Lecture Notes in Computer Science, 13127, Springer, 2022, DOI: https://doi.org/10.1007/978-3-030-97549-4_30, 257-265. SJR (Scopus): 0.249, Q3 (Scopus), https://www.scimagojr.com/journalsearch.php?q=25674&tip=sid&clean=0

Optimized Quasi-Monte Carlo Methods Based on Van der Corput Sequence for Sensitivity Analysis in Air Pollution Modelling, Todorov V., Dimov I., Ostromsky Tz., Zlatev Z., Georgieva R., Poryazov S., Studies in Computational Intelligence, 986, Springer, 2022, ISBN:978-3-030-82396-2, DOI: https://doi.org/10.1007/978-3-030-82397-9_20, 389-405, SJR (Scopus): 0.185, Q4 (Scopus), https://link.springer.com/chapter/10.1007/978-3-030-82397-9_20

Sensitivity Study of a Large-Scale Air Pollution Model by Using Optimized Latin Hyprecube Sampling, Todorov V., Dimov I., Ostromsky Tz., Zlatev Z., Georgieva R., S. Poryazov, Studies in Computational Intelligence, 986, Springer, 2022, ISBN:978-3-030-82396-2, DOI: https://doi.org/10.1007/978-3-030-82397-9_19, 371-387, SJR (Scopus): 0.185, Q4 (Scopus), https://link.springer.com/chapter/10.1007/978-3-030-82397-9_19

Multidimensional Sensitivity Analysis of an Air Pollution Model Based on Modifications of the van der Corput Sequence, Todorov V., Dimov I., Ostromsky Tz, Georgieva R., Zlatev Z., Poryazov S., Lecture Notes in Computer Science, 13127, Springer, 2022, DOI: https://doi.org/10.1007/978-3-030-97549-4_21, 180-187, SJR (Scopus): 0.249, Q3 (Scopus), https://www.scimagojr.com/journalsearch.php?q=25674&tip=sid&clean=0

Highly Efficient Stochastic Approaches for Computation of Multidimensional Integrals Related to Evaluation of Options, Todorov V., Dimov I., Apostolov S., Poryazov S., Lecture Notes in Networks and Systems, 236, Springer, 2022, DOI: https://doi.org/10.1007/978-981-16-2380-6_1, 1-9, SJR (Scopus): 0.17, Q4 (Scopus), https://doi.org/10.1007/978-981-16-2380-6_1

Highly Efficient Stochastic Techniques for Evaluation of Multiple Integrals Related to Neural Networks, Todorov V., Dimov I., Poryazov S., Todorov D., Lecture Notes in Networks and Systems, 287, Springer, 2022, DOI:10.1007/978-981-16-5348-3_47, 591-599, SJR (Scopus): 0.17, Q4 (Scopus), https://doi.org/10.1007/978-981-16-5348-3_47

Improved Stochastic Approaches for Evaluation of the Wigner Kernel, Todorov V., Dimov I., Poryazov S., Studies in Computational Intelligence, 986, Springer, 2022, ISBN:978-3-030-82396-2, DOI: https://doi.org/10.1007/978-3-030-82397-9_23, 439-450, SJR (Scopus): 0.185, Q4 (Scopus), https://link.springer.com/chapter/10.1007/978-3-030-82397-9_23

Advanced Stochastic Approaches for Multidimensional Integrals in Neural Networks, Todorov V., Fidanova S., Dimov I., Poryazov S., Apostolov S., Todorov D., Studies in Computational Intelligence, 986, Springer, 2022, ISBN:978-3-030-82396-2, DOI:10.1007/978-3-030-82397-9_22, 425-438, SJR (Scopus) :0.185, Q4 (Scopus), https://link.springer.com/chapter/10.1007/978-3-030-82397-9_22

A Numerical Study on Optimal Monte Carlo Algorithm for Multidimensional Integrals, Todorov V., Apostolov S., Dimov I., Dimitrov Y., Poryazov S., Todorov D., Studies in Computational Intelligence, 986, Springer, 2022, ISBN:978-3-030-82396-2, DOI: https://doi.org/10.1007/978-3-030-82397-9_24, 451-461, SJR (Scopus): 0.185, Q4 (Scopus), https://link.springer.com/chapter/10.1007/978-3-030-82397-9_24

Expansions on Quadrature Formulas and Numerical Solutions of Ordinary Differential Equations, Todorov V., Dimitrov Y., Miryanov R., Dimov I., Poryazov S., Studies in Computational Intelligence, 986, Springer, 2022, ISBN:978-3-030-82396-2, DOI: https://doi.org/10.1007/978-3-030-82397-9_25, 463-475, SJR (Scopus):0.185, Q4 (Scopus), https://link.springer.com/chapter/10.1007/978-3-030-82397-9_25

-2021-

Stochastic Approaches to Current Transport in Micro- and Nano-structures (monograph), Nedjalkov M., Dimov I., Selberherr S., Birkhauser (Springer Science), 2021, ISBN:978-3-030-67917-0, pp.230, https://link.springer.com/book/10.1007/978-3-030-67917-0

Sensitivity Studies of an Air Pollution Model by Using Efficient Stochastic Algorithms for Multidimensional Numerical Integration, Ostromsky, Tz., Todorov, V., Dimov, I., Zlatev, Z., Studies in Computational Intelligence, 902, Springer, 2021, ISBN:978-3-030-55347-0, DOI:https://doi.org/10.1007/978-3-030-55347-0_36, 184-195, SJR (Scopus): 0.184, Q4 (Scopus), https://link.springer.com/chapter/10.1007/978-3-030-55347-0_16

Optimized stochastic approach for integral equations, Todorov V., Dimov I., Fidanova S., Georgieva R., Annals of Computer Science and Information Systems, 25, IEEE, 2021, ISBN:978-83-959183-6-0, ISSN:2300-5963, DOI:10.15439/2021F54, 239-242, https://ieeexplore.ieee.org/document/9555718

An Optimized Stochastic Techniques related to Option Pricing, Todorov V., Dimov I., Fidanova S., Apostolov S., Annals of Computer Science and Information Systems, 25, IEEE, 2021, ISBN:978-83-959183-6-0, ISSN:2300-5963, DOI: 0.15439/2021F52, 247-250, https://ieeexplore.ieee.org/document/9555755

Optimized lattice rule and adaptive approach for multidimensional integrals with applications, Todorov V., Dimov I., Fidanova S., Poryazov S, Preprints of Position and Communication Papers of the Federated Conference on Computer Science and Information Systems, 26, 2021, ISSN:2300-5963, DOI: 10.15439/2021F94, 75-80, https://annals-csis.org/proceedings/2021/pliks/94.pdf

Optimized Method based on Lattice Sequences for Multidimensional Integrals in Neural Networks, Todorov V., Dimov I., Fidanova S., Annals of Computer Science and Information Systems, 25, IEEE, 2021, ISBN:978-83-959183-6-0, ISSN:2300-5963, DOI: 10.15439/2021F53, 243-246, https://ieeexplore.ieee.org/document/9555688

Optimized stochastic methods for sensitivity analysis for large-scale air pollution model, Todorov V., Dimov I., Ostromsky Tz., Georgieva R., Annals of Computer Science and Information Systems, 26, Polish Academy, 2021, ISBN:978-83-959183-9-1, ISSN:2300-5963, DOI:http://dx.doi.org/10.15439/2021F51, 85-88, https://annals-csis.org/Volume_26/drp/pdf/51.pdf

An Optimized Technique for Wigner Kernel Estimation, Todorov V., Fidanova S., Dimov I., Poryazov S., Annals of Computer Science and Information Systems, 25, IEEE, 2021, ISBN:978-83-959183-6-0, ISSN:2300-5963, DOI:10.15439/2021F84, 235-238, https://ieeexplore.ieee.org/document/9555487

Advanced stochastic approaches for Sobol’ sensitivity indices evaluation, Todorov, V., Dimov, I., Ostromsky, T., Stoyan Apostolov, Rayna Georgieva, Yuri Dimitrov, Zahari Zlatev, Neural Computing and Applications, 33, 4, Springer, 2021, DOI:10.1007/s00521-020-05074-4, 1999-2014. JCR-IF (Web of Science): 4.664, Q1, https://link.springer.com/article/10.1007/s00521-020-05074-4

Advanced quasi-Monte Carlo algorithms for Multidimensional Integrals in Air Pollution Modelling, Todorov, V., Dimov, I., Ostromsky, Tz., Zlatev, Z., Studies in Computational Intelligence, 902, Springer, 2021, ISBN:978-3-030-55347-0, DOI:https://doi.org/10.1007/978-3-030-55347-0_36, 155-167. SJR (Scopus): 0.184, Q4 (Scopus),

https://link.springer.com/chapter/10.1007/978-3-030-55347-0_14

Second Order Shifted Approximations for the First Derivative, Todorov, V., Dimitrov, Y., Dimov, I., Studies in Computational Intelligence, 902, Springer, 2021, DOI:https://doi.org/10.1007/978-3-030-55347-0_36, 428-437, SJR (Scopus): 0.184, Q4 (Scopus), https://link.springer.com/chapter/10.1007/978-3-030-55347-0_36

A global random walk on grid algorithm for second order elliptic equations, Sabelfeld K., Smirnoff D., Dimov I., Todorov V., Monte Carlo Methods and Applications, vol. 27, 4, De Gruyter, 2021, ISSN:1569-3961, DOI:10.1515/mcma-2021-2097, SJR (Scopus): 0.423, Q3 (Scopus), https://www.degruyter.com/document/doi/10.1515/mcma-2021-2097/html

Efcient implementation of advanced Richardson Extrapolation in an atmospheric chemical scheme, Zlatev, Z., Dimov, I., Farago, I., Georgiev, K., Havasi, A., Journal of Mathematical Chemistry, Springer, 2021, DOI:10.1007/s10910-021-01300-z, SJR (Scopus): 0.421, JCR-IF (Web of Science): 2.357, Q2 (Web of Science), https://link.springer.com/content/pdf/10.1007/s10910-021-01300-z.pdf

-2020-

Advanced Quasi Monte Carlo Methods for Sensitivity Analysis in Air Pollution Modeling, Dimov I., Todorov V., Ostromsky Tz., Knowledge, Language and Models, INCOMA, 2020, ISBN:978-954-452-062-5, 74-90.

Probabilistic analysis of the Single Particle Wigner Monte-Carlo method, Dimov I., Savov M., Mathematics and Computers in Simulation, 173, Elsevier, 2020, ISSN:03784754, DOI: 10.1016/j.matcom.2020.01.008, 32-70, SJR (Scopus): 0.452, JCR-IF (Web of Science): 1.62, Q3 (Web of Science), https://www.scopus.com/record/display.uri?src=s&origin=cto&ctoId=CTODS_1265095871&stateKey=CTOF_1265099166&eid=2-s2.0-85079278693&featureToggles=FEATURE_NEW_DOC_DETAILS_EXPORT:1

Monte Carlo Methods for Sensitivity Studies of Large-Scale Air Pollution Model, Ostromsky Tz., Todorov V., Dimov I., Proceeding of AMITANS 2020 Congerence, 2302, AIP Conference Proceedings, 2020, DOI: https://doi.org/10.1063/5.0034848, SJR (Scopus): 0.184, SJR, https://aip.scitation.org/doi/abs/10.1063/5.0034848

Efficient Stochastic Algorithms for the Sensitivity Analysis Problem in the Air Pollution Modelling, Ostromsky, Tz., Todorov, V., Dimov, I., Zlatev, Z., LNCS (Lecture Notes in Computer Science), 11958, Springer, 2020, ISBN:978-3-030-41031-5, DOI:10.1007/978-3-030-41032-2_48, 420-428, SJR (Scopus):0.337, Q2 (Scopus), https://link.springer.com/chapter/10.1007/978-3-030-41032-2_48

A New Optimized Adaptive Approach for Estimation of the Wigner Kernel, Todorov V., Dimov I., Fidanova S., Poryazov S., Annals of Computer Science and Information Systems, 21, 2020, ISBN:978-83-955416-7-4, ISSN:2300-5963, DOI: 10.15439/2020F111, 341-344.

A New Optimized Stochastic Approach for MultipleIntegrals in Option Pricing, Todorov V., Dimov I., Fidanova S., Poryazov S., Annals of Computer Science and Information Systems, 23, 2020, ISBN:978-83-955416-7-4, ISSN:2300-5963, 21-24, https://www.annals-csis.org/Volume_23/

Adaptive Monte Carlo algorithm for Wigner kernel evaluation, Todorov V., Dimov I., Georgieva R., Dimitrov S., Neural Computing and Applications, 32, 14, Springer, 2020, ISSN: 09410643, DOI:10.1007/s00521-019-04519-9, 9953-9964, JCR-IF (Web of Science): 4.774, Q1, https://link.springer.com/article/10.1007/s00521-019-04519-9

A Comparison of Advanced Quasi Monte Carlo Methods for Multidimensional Integrals in Air Pollution Modeling, Todorov V., Dimov I., Ostromsky Tz., Proceeding of AMITANS 2020 Congerence, 2302, AIP Conference Proceedings, 2020, DOI: https://doi.org/10.1063/5.0034850, SJR (Scopus): 0.184, https://aip.scitation.org/doi/abs/10.1063/5.0034850

An Optimal Monte Carlo Algorithm for a Class of Multidimensional Integrals, Todorov V., Dimov I., Apostolov S., Fidanova S., Dimitrov Y., Poryazov S., Annals of Computer Science and Information Systems, 23, 2020, ISBN:978-83-955416-7-4, ISSN:2300-5963, DOI: 10.15439/2020F112, 17-20, https://www.annals-csis.org/Volume_23/

Sensitivity Study of a Large-Scale Air Pollution Model by Using Optimized Stochastic Algorithm, Todorov V., Ostromsky Tz., Dimov I., Fidanova S., Annals of Computer Science and Information Systems, 23, 2020, ISBN:978-83-955416-7-4, ISSN:2300-5963, DOI: 10.15439/2020F107, 29-32, https://www.annals-csis.org/Volume_23/

Optimized Quasi-Monte Carlo Method Based on Low Discrepancy Sequences for Sensitivity Analysis in Air Pollution Modelling, Todorov V., Ostromsky, Tz., Dimov I., Fidanova S., Annals of Computer Science and Information Systems, 23, 2020, ISBN:978-83-955416-7-4, ISSN: 2300-5963, DOI:10.15439/2020F108, 25-28, https://www.annals-csis.org/Volume_23/

A New Optimized Stochastic Approach for Multidimensional Integrals in Machine Learning, Todorov V., Apostolov S., Dimov I., Fidanova S., Annals of Computer Science and Information Systems, 21, 2020, ISBN:978-83-955416-7-4, ISSN:2300-5963, DOI: 10.15439/2020F110, 337-340.

An Optimization on Quadrature Formulas and Numerical Solutions of Ordinary DifferentialEquations, Todorov V., Dimitrov Y., Miriyanov R., Dimov I., Fidanova S., Poryazov S., Annals of Computer Science and Information Systems, 23, 2020, ISBN:978-83-959183-2-2, ISSN:2300-5963, DOI: 10.15439/2020F115, 13-16, https://www.annals-csis.org/Volume_23/

An Improved ”Walk on Equations” Monte Carlo Algorithm for Linear Algebraic Systems, Todorov V., Ikonomov N., Apostolov S., Dimov I., Georgieva R., Dimitrov Y., Lecture Notes in Computer Science, Springer, 2020, ISSN:978-3-030-22722-7, DOI:10.1007/978-3-030-22723-4_14, 215-236. SJR (Scopus): 0.337, Q2 (Scopus), https://link.springer.com/chapter/10.1007/978-3-030-22723-4_14

High-accuracy numerical methods for a parabolic system in air pollution modeling, Todorov V., Kandilarov J, Dimov I., Vulkov L., Neural Computing and Applications, 32, 10, Springer, 2020, ISSN:09410643, DOI:10.1007/s00521-019-04088-x, 6025-6040, JCR-IF (Web of Science): 4.774, Q1 (Web of Science), https://link.springer.com/article/10.1007/s00521-019-04088-x

Efficient Stochastic Approaches for Multidimensional Integrals in Bayesian Statistics, Todorov, V., Dimov, I., Large-Scale Scientific Computing (LSSC 2019) LNCS, 11958, Springer International Publishing Switzerland, 2020, DOI: https://doi.org/10.1007/978-3-030-41032-2_52, 454-462, SJR (Scopus): 0.337, Q2 (Scopus), https://link.springer.com/chapter/10.1007/978-3-030-41032-2_52

Explicit Runge-Kutta Methods Combined with Advanced Versions of the Richardson Extrapolation, Zlatev Z., Dimov I., Farago I., Geotgiev K., Havasi A., Computational Methods in Applied Mathematics, 20, 4, Elsevier, 2020, ISSN:16094840, DOI:10.1515/cmam-2019-0016, 739-762. SJR (Scopus): 1.069, JCR-IF (Web of Science): 1.225, Q2 (Web of Science), https://www.degruyter.com/document/doi/10.1515/cmam-2019-0016/html

Studying the Influence of Climate Changes on European Ozone Levels, Zlatev, Z., Dimov, I., Farago, I., Georgiev, K., Havasi, A., Lecture Notes in Computer Science, 11958, Springer, 2020, ISSN: 03029743, DOI: 10.1007/978-3-030-41032-2_45, 388-398, SJR (Scopus): 0.283, Q2 (Scopus), https://link.springer.com/chapter/10.1007/978-3-030-41032-2_45

-2019-

Numerical Analysis of a Pollutant and Environment Interaction Model, Dimov, I., Kandilarov, J., Todorov, V., Vulkov, L., Lecture Notes in Computer Science, Springer, 2019, DOI: 10.1007/978-3-030-10692-8_43, 383-391, SJR (Scopus): 0.295, Q2 (Scopus), https://link.springer.com/chapter/10.1007/978-3-030-10692-8_43

A new unbiased stochastic algorithm for solving linear Fredholm equations of the second kind, Dimov, I., Maire, S., Advances in Computational Mathematics, 44, Issue 3, Springer, 2019, ISSN:1019-7168, DOI: https://doi.org/10.1007/s10444-019-09676-y, 1499-1519, JCR-IF (Web of Science): 1.638, Q1(Web of Science), https://link.springer.com/article/10.1007/s10444-019-09676-y

A Gauge-Invariant Wigner Equation for General Electromagnetic Fields, Nedjalkov M., Weinbub J., Ballicchia M., Selberherr S., Dimov I., Ferry D., Rupp K., 2019, ISBN:978-3-9504738-0-3, 67-68.

Posedness of Stationary Wigner Equation, Nedjalkov M., Weinbub J., Ballicchia M., Selberherr S., Dimov I., Rupp K., 019, ISBN:978-3-9504738-0-3, 32-33.

Wigner equation for general electromagnetic fields: The Weyl-Stratonovich transform, Nedjalkov, M, Weinbub, J., Ballicchia, M., Selberherr, S., Dimov, I, Ferry, D.K., Physical Review B, 99, 1, American Physical Society, 2019, ISSN:2469-9950, DOI: 10.1103/PhysRevB.99.014423, 014423-014439, JCR-IF (Web of Science): 3.813, Q1, (Web of Science), https://www.scopus.com/record/display.uri?eid=2-s2.0-85060394346&doi=10.1103%2fPhysRevB.99.014423&origin=inward&txGid=3240f7b1a4595e7f76ab0fe01042c970&featureToggles=FEATURE_NEW_DOC_DETAILS_EXPORT:1

Sensitivity Analysis of an Air Pollution Model by Using Quasi-Monte Carlo Algorithms for Multidimensional Numerical Integration, Ostromsky, Tzvetan, Dimov, Ivan, Todorov, Venelin, Zlatev, Zahari., Lecture Notes in Computer Science, 11189, Springer, 2019, ISSN:0302-9743, DOI: 10.1007/978-3-030-10692-8_31, 281-289, SJR (Scopus): 0.295, Q2 (Scopus), https://nma18.fmi.uni-sofia.bg/publications

High Accuracy Numerical Methods for a Parabolic System in Air Pollution Modelling, Todorov V., Kandilarov J., Dimov I., Vulkov L., Neural Computing and Applications, Springer International Publishing, 2019, ISSN:0941-0643, DOI: https://doi.org/10.1007/s00521-019-04088-x, 1-16, JSR (WoS): 4.215, Q1(Web of Science), https://link.springer.com/article/10.1007/s00521-019-04088-x#citeas

Adaptive Monte Carlo algorithm for Wigner kernel evaluation, Todorov, V., Dimov, I., Georgieva, R., Dimitrov, S., Neural Computing and Applications, Springer, 2019, ISSN:0941-0643, DOI: 10.1007/s00521-019-04519-9, SJR (Scopus): 0.637, JCR-IF (Web of Science): 4.664, Q1, (Web of Science), https://www.webofscience.com/wos/woscc/basic-search

А Comparison of Quasi-Monte Carlo Methods Based on Faure and Sobol Sequences for Multidimensional Integrals in Air Pollution Modelling, Todorov, V., Dimov, I., Dimitrov, Y., Ostromsky, Tz., Georgieva, R., AIP Conference Proceedings, 2164, American Institute of Physics Inc., 2019, ISSN:0094-243X, DOI: 10.1063/1.5130792, SJR (Scopus): 0.182, https://www.scopus.com/record/display.uri?eid=2-s2.0-85074758638&origin=resultslist&sort=plf-f&src=s&sid=fa5904ec6c154ddb67be570c1e3df2c6&sot=autdocs&sdt=autdocs&sl=18&s=AU-ID%2822333890700%29&relpos=1&citeCnt=0&searchTerm=&featureToggles=FEATURE_NEW_DOC_DETAILS_EXPORT:1

Numerical solutions of ordinary fractional differential equations with singularities, Dimitrov Y., Dimov I., Todorov V., Advanced Computing in Industrial Mathematics, Studies in Cоmputational Intelligence, 793, Springer Cham, 2019, DOI: 0.1007/978-3-319-97277-0_7, 77-91, SJR (Scopus): 0.295, Q4 (Scopus), https://books.google.bg/books?id=VctwDwAAQBAJ&pg=PA76&lpg=PA76&dq=Numerical+solutions+of+ordinary+fractional+differential+equations+with+singularities&source=bl&ots=eJSXMkDg6u&sig=qM0tJh_sfRx4GNbaFJExrHKTOfU&hl=bg&sa=X&ved=2ahUKEwjiooO8vM7eAhVMEiwKHd#v=onepage&q=Numerical%20solutions%20of%20ordinary%20fractional%20differential%20equations%20with%20singularities&f=false

Advanced algorithms for studying the impact of climate changes on ozone levels in the atmosphere, Zlatev, Z., Dimov, I., Farago, I., Georgiev, K., Havasi, A., Int. J. Environment and Pollution, 66, 1/2/3, Inderscience Publ., 2019, ISSN:1741-5101, 212-237, JCR-IF (Web of Science): 0.69, Q4 (Web of Science), https://www.inderscience.com/jhome.php?jcode=ijep

Explicit Runge–Kutta Methods Combined with Advanced Versions of the Richardson Extrapolation, Zlatev, Z., Dimov, I., Farago, I., Georgiev, K., Havasi, A., Computational Methods in Applied Mathematics, 20, 4, DeGruyter, 2019, DOI: https://doi.org/10.1515/cmam-2019-0016, SJR (Scopus): 1.07, JCR-IF (Web of Science): 1.225, Q1 (Web of Science), https://www.degruyter.com/document/doi/10.1515/cmam-2019-0016/html

LARGE-SCALE AIR POLLUTION MODELING IN EUROPE UNDER DIFFERENT CLIMATIC SCENARIOS, Zlatev, Z., Dimov, I., Farago, I., Georgiev, K., Havasi, A., International Journal of Big Data Mining for Global Warming, 1, 2, World Scientific Publishing Company, 2019, ISSN:2630-5356, DOI: 10.1142/S2630534819500098.

Explicit Runge-Kutta Methods Combined with Advanced Versions of the Richardson Extrapolation, Zlatev, Z.., Dimov, I., Farago, I,, Georgiev, K., Havasi, A., Computational Methods in Applied Mathematics, de Gruyter, 2019, ISSN:1609-4840, DOI: https://doi.org/10.1515/cmam-2019-0016, JSR (WoS): 1.218, Q2(Web of Science), https://www.scopus.com/error.uri

- 2018 -

1.       Zlatev, Z., Dimov, I., Farago, I., Havasiy, A. Richardson Extrapolation. Walter de Gruyter, GmbH, De Gruyter, 2018, ISBN:ISBN-13: 978-3110516494; ISBN-10: 9783110516494, DOI: https://doi.org/10.1515/9783110533002-010 8, 292 (monograph).

2.       Dimov, I., Kandilarov, J., Vulkov, L.. Numerical solution of direct and inverse problems for degenerate parabolic equations with concentrated sources. AIP Conference Proceedings, 2048, American Institute of Physics, 2018, ISBN:978-0-7354-1619-2, DOI:10.1063/1.5082071, 030014-1-030014-8. SJR:0.16, ISI IF:0.22.

3.       I. Dimov, J. Kandilarov, V, Todorov, L. Vulkov. Time Discretization/Linearization Approach Based on HOC Difference Schemes for Semilinear Parabolic Systems of Atmosphere Modelling. Proceeding of LSSC 2017, LNCS 10665, Springer Nature, 2018, ISSN:0302-9743; E-ISSN:1611-3349, pp. 450-457. SJR:0.337.

4.       I. Dimov, J. Kandilarov, V. Todorov, L. Vulkov. Numerical Analysis of a Pollutant and Environment Interaction Model. Lecture Notes in Computer Science, Springer, 2018, SJR:0.295, https://nma18.fmi.uni-sofia.bg/publications

5.       Kapanova, K., Dimov, I., Sellier, J.M.. A genetic approach to automatic neural network architecture optimization. Neural Computing and Applications, 29, Springer Nature, 2018, ISSN:0941-0643; E-ISSN:1433-3058, pp. 1481-1492. ISI IF:4.213.

6.       Nedjalkov, M., Ellinghaus, P, Weinbub, J., Sadi, T., Asenov, A., Dimov, I., Selberherr, S.. Stochastic analysis of surface roughness models in quantum wires. Computer Physics Communications, Volume 228, July 2018, Pages 30-37, 228, Elsevier, 2018, ISSN:0010-4655, DOI: https://doi.org/10.1016/j.cpc.2018.03.010 , 30-37. SJR:1.729, ISI IF:3.748.

7.       V. Todorov, I. Dimov, Y. Dimitrov. Efficient Quasi- Monte Carlo Methods for Multiple Integrals in Option Pricing. AIP Conference Proceedings, 2015, 1, AIP, 2018, DOI:10.1063/1.5064950, 110007-1-110007-10. SJR: 0.198.

8.       V. Todorov, J. Kandilarov, I. Dimov, L. Vulkov. High Accuracy Numerical Methods for a Parabolic System in Air Pollution Modelling. Neural Computing and Applications, Springer International Publishing, 2018, ISI IF:4.213.

9.       V. Todorov, N. Ikonomov, I. Dimov, R. Georgieva. A New Monte Carlo Algorithm for Linear Algebraic Systems Based on the "Walk on Equations" Algorithm. Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, Annals of Computer Science and Information Systems, Vol. 15, IEEE, 2018, ISSN: 2300-5963, DOI: 10.15439/978-83-949419-5-6, pp. 257-260.

10.   Chernogorova, T., Dimov, I., Vulkov, L. Positive fitted finite volume method for semi-linear parabolic systems transformed on finite interval. AIP Conference Proceedings, 2048, American Institute of Physics, 2018, ISBN:978-0-7354-1619-2, DOI:10.1063/1.5082071, 030013-1-030013-7. SJR:0.16, ISI IF: 0.22.

11.   Y. Dimitrov, I. Dimov, V. Todorov. Numerical solutions of ordinary fractional differential equations with singularities.. Advanced Computing in Industrial Mathematics, Studies in Computational Intelligence, 793, Springer Cham, 2019, DOI: 0.1007/978-3-319-97277-0_7, pp. 77-91. SJR: 0.295.

12.   Dimov, I., Kandilarov, J., Todorov, V., Vulkov, L.. Approach Based on HOC Difference Schemes for Semilinear Parabolic Systems of Atmosphere Modelling. In book: Large-Scale Scientific Computing, LNCS 10665, Springer, 2018, DOI:10.1007/978-3-319-73441-5_49, pp. 450-457. SJR: 0.337.

13.   Zlatev, Z., Dimov, I., Georgiev, K., Blaheta, R.. Using Advanced Mathematical Tools in Complex Studies Related to Climate Changes and High Pollution Levels. LNCS, 10665, Springer, 2018, ISSN:0302-9743, pp. 552-559. SJR: 0.315.

14.   Zlatev, Z., Dimov, I., Farago, I., Georgiev, K., Havasi, A.. Implementation of the Three-times Repeated Richardson Extrapolation together with Explicit Runge-Kutta Methods. Fastumprint, 2018, ISBN:978-954-91700-7-8, pp. 84-88.

- 2017 -

1.    Dimov, I., Kandilarov, J., Todorov, V., Vulkov, L.. Numerical determination of the right-hand side of parabolic systems with point measurements. AIP Conference Proceedings 1910, 030007 (2017), 1910, 2017, ISSN:978-0-7354-1602-4, DOI: https://doi.org/10.1063/1.5013966 , 030007-1-030007-7. SJR: 0.16.

2.    Dimitrov, S., Dimov, I., Todorov, V.. Latin Hypercube Sampling and Fibonacci Based Lattice Method Comparison for Computation of Multidimensional Integrals. In: Proceeding of Sixth Conference on Numerical Analysis and Applications (NAA'16), LNCS 10187, Springer, 2017, DOI: doi.org/10.1007/978-3-319-57099-0\_32, 302-310. SJR: 0.252.

3.    Dimov, I., Kandilarov, J., Todorov, V., Vulkov, L. High-Order Compact Difference Schemes with Richardson Extrapolation for Semilinear Parabolic Systems.. In: Applications of Mathematics in Engineering and Economics, American Institute of Physics, # 1789, 030002, AIP, 2017, DOI: 10.1063/1.4968448, SJR :0.198.

4.    Dimov, I., Kandilarov, J., Todorov, V., Vulkov, L.. Numerical Determination of the Right-Hand Side of Parabolic Systems with Point Measurements. In: 43rd International Conference “Applications of Mathematics in Engineering and Economics” (AMEE’17), AIP Conference Proceedings 1910 (1), 2017, ISBN:978-0-7354-1602-4, DOI:10.1063/1.5013936, SJR: 0.198.

5.    Dimov, I.T., Georgieva, R., Todorov, V., Ostromsky, Tz.. Efficient Stochastic Approaches for Sensitivity Studies of an Eulerian Large-scale Air Pollution Model. AIP Conference Proceedings, 1895, 1, 2017, ISSN:0094-243X, DOI:10.1063/1.5007376, SJR: 0.163.

6.    Kapanova, K.G., Dimov, I.T., Sellier, J.M.. A Neural Network Sensitivity Analysis in the Presence of Random Fluctuations. Neurocomputing, 224, Elsevier, 2017, ISSN:0925-2312, DOI:10.1016/j.neucom.2016.10.060, pp. 177-183. SJR:1.202, ISI IF: 2.392.

7.    Sellier, J.M., Kapanova, K.G., Dimov, I.T.. A Cellular Automaton for the Signed Particle Formulation of Quantum Mechanics. Physica A: Statistical Mechanics and its Applications, 468, Elsevier, 2017, ISSN:0378-4371, DOI:10.1016/j.physa.2016.10.061, pp. 638-647. ISI IF: 1.785.

8.    Zlatev, Z., Dimov, I., Georgiev, K., Margenov, S.. Numerical algorithms for scientific and engineering applications. Journal of Computational and Applied Mathematics, 310, Elsevier, 2017, ISSN:0377-0427, 1-4. SJR:1.08, ISI IF: 1.357.

9.    Zlatev, Z., Dimov, I., Farago, I., Georgiev, K., Havasi, A.. Stability of the Richardson Extrapolation combined with some implicit Runge–Kutta methods. Journal of Computational and Applied Mathematics, 310, Elsevier, 2017, ISSN:0377-0427, pp. 224-240. SJR:1.08, ISI IF: 1.357.

10. Boyanov, K., Dimov, I., Sendov, Bl.. Bulgarian ICT Security Challenges and Policy for Research Activities. Proceedings of the 10th IT STAR Workshop on IT Security 2017, 9, IT STAR Publications, 2017, ISBN:978-88-98091-45-4, pp. 45-51.

- 2016 -

1.       Dimov, I. T., Todorov, V.. Error Analysis of Biased Stochastic Algorithms for the Second Kind Fredholm Integral Equation. Innovative Approaches and Solutions in Advanced Intelligent Systems, Studies in Computational Intelligence, 648, Springer International Publishing, 2016, ISBN:978-3-319-32206-3, ISSN:1860-949X, DOI:10.1007/978-3-319-32207-0_1, 3-16. SJR: 0.24.

2.       Dimov, I., M. Nedjalkov, J. M. Sellier, S. Selberherr. Neumann Series Analysis of the Wigner Equation Solution. Progress in Industrial Mathematics at ECMI 2014, Mathematics in Industry, 22, Springer International Publishing, G. Russo, V. Capasso, G. Nicosia, V. Romano (ed), 2016, ISBN:978-3-319-23412-0, DOI:10.1007/978-3-319-23413-7_97, pp. 701-707.

3.       Georgiev, K., Zlatev, Z., Margenov, S., Dimov, I.. Numerical algorithms for scientific and engineering applications. J. of Computational and Applied Mathematics, 310, Elsevier, 2016, ISSN:0377-0427, DOI:10.1016/j.cam.2016.07.014, 1-4. ISI IF: 1.266.

4.       Kapanova, K.G., Dimov, I., Sellier, J.M.. A Genetic Approach to Automatic Neural Network Architecture Optimization. Neural Computing and Applications, Springer, 2016, Volume 29, Issue 5, pp 1481–1492, ISSN:0941-0643, DOI:10.1007/s00521-016-2510-6, SJR:0.736, ISI IF: 1.492.

5.       Ostromsky, Tz., Alexandrov, V., Dimov, I.T., Zlatev, Z.. On the Performance, Scalability and Sensitivity Analysis of a Large Air Pollution Model. Procedia Computer Science, 80, Elsevier, 2016, Volume 80, 2016, pp. 2053-2061, ISSN:1877-0509, 2053-2061. SJR: 0.31.

6.       Sellier, J. M., Dimov, I. T.. On a Quantum Algorithm for the Resolution of Systems of Linear Equations. Studies in Computational Intelligence, 610, Springer International Publishing Switzerland, 2016, ISSN:1860-949X, DOI:10.1007/978-3-319-21133-6_3, pp. 37-53. SJR: 0.24.

7.       Sellier, J.M., Dimov, I.T.. On a Full Monte Carlo Approach to Quantum Mechanics. Physica A: Statistical Mechanics and its Applications, 463, Elsevier, 2016, ISSN:0378-4371, DOI:http://dx.doi.org/10.1016/j.physa.2016.07.002, pp. 45-62. SJR:0.738, ISI IF: 1.785.

8.       Sellier, J.M., Sviercoski, R., Dimov, I.T.. On the Wigner Monte Carlo Method Coupled to Pseudopotential Models. Journal of Computational and Applied Mathematics, 293, Elsevier, 2016, ISSN:0377-0427, DOI:10.1016/j.cam.2015.01.033, pp. 217-222. SJR:1.089, ISI IF: 1.328.

9.       Sellier, J.M, Ivanova, D., Dimov, I.T.. A Study on Quantum Similarity in the Phase Space. Physica A: Statistical Mechanics and its Applications, 460, Elsevier, 2016, ISSN:0378-4371, DOI:http://dx.doi.org/10.1016/j.physa.2016.05.003, pp. 116-120. SJR:0.738, ISI IF: 1.785.

10.   Todorov, V., Dimov, I.T.. Monte Carlo Methods for Multidimensional Integration for European Option Pricing. AIP Conference Proceedings, # 1773, AIP Publishing, 2016, ISSN:0094-243X, DOI:http://dx.doi.org/10.1063/1.4965003, SJR: 0.2.

11.   Chernogorova, T., Dimov, I, Vulkov, L.. Coordinate Transformation Approach for Numerical Solution of Environmental Problems. Mathematical Problems in Meteorological Modelling, series Mathematics in Industry, 24, Springer International Publishing, 2016, ISBN:978-3-319-40155-3, ISSN:1612-3956, DOI:10.1007/978-3-319-40157-7_7, pp. 117-127.

12.   Zlatev, Z., Dimov, I. T., Faragó, I., Georgiev, K., Havasi, Á. Stability of the Richardson Extrapolation combined with some implicit Runge-Kutta methods. Journal of Computational and Applied Mathematics, Elsevier, 2016, DOI: doi:10.1016/j.cam.2016.03.018, ISI IF: 1.266.

13.   Zlatev, Z., Dimov, I.T., Georgiev, K.. Relations between Climatic Changes and High Pollution Levels in Bulgaria. Open Journal of Applied Sciences, Vol. 6, Scientific Research Publishing, 2016, ISSN:2165-3917, DOI:http://dx.doi.org/10.4236/ojapps.2016.67040, pp. 386-401.

14.   Zlatev, Z., Dimov, I.T., Lirkov, I.. Efficient Numerical Methods for Large-scale Scientific Computations: Introduction. Journal of Computational and Applied Mathematics, 293, Elsevier, 2016, ISSN:0377-0427, DOI:10.1016/j.cam.2015.05.001, pp. 1-6. SJR:1.089, ISI IF: 1.266.

15.   Dimov, I.T., Kandilarov, V., Todorov, V., Vulkov, L.. Analysis and Realization of Compact Difference Schemes for Semilinear Parabolic Systems. Proceeding of the International Conference NMSCAA16, 2016, ISBN:978-619-7223-18-7, pp. 17-21.

- 2015 -

1. Dimov, I. T., Georgieva, R., Todorov, V.. Balancing of Systematic and Stochastic Errors in Monte Carlo Algorithms for Integral Equations. Lecture Notes in Computer Science, 8962, Springer International Publishing, 2015, ISBN:978-3-319-15584-5, ISSN:0302-9743, DOI:10.1007/978-3-319-15585-2_5, 44-51. SJR:0.252; https://www.scopus.com/source/sourceInfo.uri?sourceId=25674&origin=resultslist ; http://www.scimagojr.com/journalsearch.php?q=25674&tip=sid 
2. Dimov, I. T., Nedjalkov, M., Sellier, J. M., Selberherr, S.. Boundary conditions and the Wigner equation solution. Journal of Computational Electronics, 14, 4, Springer, Netherlands, 2015, ISSN:1569-8025 (print version), 1572-8137 (Online), DOI:10.1007/s10825-015-0720-2, 859-863. SJR:0.511, ISI IF:1.52; https://www.scopus.com/inward/record.uri?eid=2-s2.0-84941994147&partnerID=40&md5=a91b306d67dc77c2721a506e02ee3cba ; http://download.springer.com/static/pdf/571/art%253A10.1007%252Fs10825-015-0720-2.pdf?originUrl=http%3A%2F%2Flink.springer.com%2Farticle%2F10.1007%2Fs10825-015-0720-2&token2=exp=1448025375~acl=%2Fstatic%2Fpdf%2F571%2Fart%25253A10.1007%25252Fs10825-01 
3. Dimov, I. T., Sellier, J. M.. A Sensitivity Study of the Wigner Monte Carlo Method. Journal of Computational and Applied Mathematics, 277, 2015, ISSN:0377-0427, DOI:10.1016/j.cam.2014.09.010, 87-93. SJR:1.089, ISI IF: 1.672. 
4. Dimov, I. T., Maire, S., Sellier, J. M.. A New Walk on Equations Monte Carlo Method for Solving Systems of Linear Algebraic Equations. Applied Mathematical Modelling, 39, 15, Elsevier, 2015, ISSN:0307-904X, DOI:10.1016/j.apm.2014.12.018, pp. 4494-4510. SJR:0.318, ISI IF:2.251.
5. Dimov, I.T., Sellier, J.M.. Toward Solotronics Design in the Wigner Formalism. Physica A: Statistical Mechanics and its Applications, 417, Elsevier, 2015, ISSN:0378-4371, DOI:10.1016/j.physa.2014.09.057, 287-296. SJR:0.738, ISI IF:1.722.
6. Kapanova, K.G., Dimov, I., Sellier, J.M.. On Randomization of Neural Networks as a Form of Post-learning Strategy. Soft Computing, Springer, 2015, ISSN:1432-7643, DOI:10.1007/s00500-015-1949-1, SJR:0.829, ISI IF: 1.63.
7. Ostromsky, Tz., Dimov, I. T., Alexandrov, V., Zlatev, Z.. Preparing Input Data for Sensitivity Analysis of an Air Pollution Model by using High-Performance Supercomputers and Algorithms. Computers & Mathematics with Applications, Elsevier, 2015, Vol. 70, Issue 11, December 2015, Pages 2773-2782 ISSN:0898-1221, DOI:10.1016/j.camwa.2015.07.020, pp. 2773-2782. SJR:1.121, ISI IF: 1.697.
8. Sellier, J. M., Dimov, I. T.. On the Simulation of Indistinguishable Fermions in the Many-body Wigner Formalism. Journal of Computational Physics, 280, Elsevier, 2015, ISSN:0021-9991, DOI: 10.1016/j.jcp.2014.09.026, 287-294. SJR:1.921, ISI IF:3.184; (Five-Year Impact Factor: 3.184, Impact Factor (2013): 2.138, SJR indicator (2012): 1.921)
9. Sellier, J. M., Nedjalkov, M., Dimov, I. T.. An Introduction to Applied Quantum Mechanics in the Wigner Monte Carlo Formalism. Physics Reports, Vol. 577, JIFP: 96.8, 2015, ISSN:0370-1573, DOI:10.1016/j.physrep.2015.03.001, 1-34. SJR: 8.102, ISI IF: 22.91.
10. Sellier, J. M., Ivanova, D.Y., Dimov, I. T.. Molecular Descriptors and Quasi-distribution Functions. Computers and Mathematics with Applications, Vol. 70, Issue 11, Elsevier, 2015, ISSN:0898-1221, DOI:10.1016/j.camwa.2015.06.037, pp. 2726-2731. SJR:1.092, ISI IF:1.697.
11. Sellier, J.M., Dimov, I.T.. Wigner Functions, Signed Particles, and the Harmonic Oscillator. Journal of Computational Electronics, Vol. 14, Issue 4, Springer Netherlands, 2015, ISSN:1569-8025, DOI:10.1007/s10825-015-0722-0, 907-915. SJR:0.511, ISI IF: 1.52.
12. Sellier, J.M., Georgieva, R., Dimov, I.T.. Sensitivity Analysis of Design Parameters for Silicon Diodes. Lecture Notes in Computer Science, Vol. 8962, Springer International Publishing, 2015, ISBN:978-3-319-15584-5, ISSN:0302-9743, DOI: 10.1007/978-3-319-15585-2_4, pp. 34-43. SJR: 0.252. 
13. Sellier, J.M., Nedjalkov, M., Dimov, I. T., Selberherr, S. A Comparison of Approaches for the Solution of the Wigner Equation. Mathematics and Computers in Simulations, 107, Elsevier, 2015, ISSN:0378-4754, DOI:10.1016/j.matcom.2014.06.001, 108-119. SJR:0.677, ISI IF: 1.033; (Five-Year Impact Factor: 1.033, Impact Factor (2012): 0.836)
14. Chernogorova, T., Dimov, I. T., Vulkov, L.. A Splitting Numerical Method for Primary and Secondary Pollutant Models. Lecture Notes in Computer Science, Vol. 9374, Springer Berlin Heidelberg, 2015, ISBN:978-3-319-26519-3; O, ISSN:0302-9743, DOI:10.1007/978-3-319-26520-9_35, pp. 319-326. SJR: 0.31.

15.   Ellinghaus, P., Weinbub, J., Nedjalkov, M., Selberherr, S., Dimov, I.. Distributed-Memory Parallelization of the Wigner Monte Carlo Method Using Spatial Domain Decomposition. Journal of Computational Electronics, 14, 1, Springer Netherlands, 2015, ISSN:1569-8025, DOI:10.1007/s10825-014-0635-3, 151-162. SJR:0.511, ISI IF: 1.52.

16.   Zlatev, Z., Georgiev, K., Dimov, I.T.. Selecting Explicit Runge-Kutta Methods with Improved Stability Properties. Lecture Notes in Computer Science, 9374, Springer International Publishing, 2015, ISSN:978-3-319-26519-3; Online ISBN978-3-319-26520-9, DOI:10.1007/978-3-319-26520-9_46, 409-416. SJR:0.34;

17.   J. M. Sellier and I. T.  Dimov. Toward solotronics design in the Wigner formalism, Physica A: Statistical Mechanics and its Applications, Volume 417,  2015, pp. 287–296, doi:10.1016/j.physa.2014.09.057, ISSN: 0378-4371, Impact Factor: 1.722(2013).

18.   J. M. Sellier and I. T. Dimov. A sensitivity study of the Wigner Monte Carlo method, Journal of Computational and Applied Mathematics, Volume 277, 2015, pp. 87- 93, doi:10.1016/j.cam.2014.09.010, ISSN: 0377-0427, IF: 5-Year Impact Factor: 1.672.

19.   J. M. Sellier and I. T. Dimov. On the simulation of indistinguishable fermions in the many-body Wigner formalism, Journal of Computational Physics, Volume 280, 2015, pp. 287–294, Five-Year Impact Factor: 3.184, Impact Factor (2013): 2.138, SJR indicator (2012): 1.921.

20.   J.M. Sellier, M. Nedjalkov, I. T. Dimov, S. Selberherr. A Comparison of Approaches for the Solution of the Wigner Equation. Mathematics and Computers in Simulations, Volume 107 (2015), pp. 108–119, Elsevier, ISSN: 0378-4754, doi:10.1016/j.matcom.2014.06.001, Five-Year Impact Factor: 1.033, Impact Factor (2012): 0.836.

- 2014 -

1.      Z Zlatev, I. T. Dimov, I Faragó, K Georgiev, and Á Havasi. Application of Richardson extrapolation for multi-dimensional advection equations, Computers & Mathematics with Applications, Volume 67, Issue 12 (2014), pp.  2279–2293, doi:10.1016/j.camwa.2014.02.028, ISSN: 0898-1221, 5-Year Impact Factor: 2.062, impact factors: 1.996(2013).

2.      Z.  Zlatev, K. Georgiev, and I. T.  Dimov. Studying absolute stability properties of the Richardson Extrapolation combined with explicit Runge–Kutta methods,  Computers & Mathematics with Applications, Volume 67, Issue 12 (2014), pp. 2294–2307, doi:10.1016/j.camwa.2014.02.025, ISSN: 0898-1221, 5-Year Impact Factor: 2.062, impact factors: 1.996(2013).

3.      J. M. Sellier, I. T.  Dimov. The many-body Wigner Monte Carlo Method for time-dependent Abinitio quantum simulations, Journal of Computational Physics, Volume 273, (2014), pp. 589–597, ISSN: 0021-9991, Five-Year Impact Factor: 3.184, Impact Factor (2013): 2.138, SJR indicator (2012): 1.921.

4.      J.M. Sellier, I. T. Dimov. The Wigner-Boltzmann Monte Carlo Method applied to electron transport in the presence of a single dopant. Computer Physics Communications, Volume 185 (2014), pp.  2427–2435,  Elsevier,  ISSN: 0010-4655, http://dx.doi.org/10.1016/j.cpc.2014.05.013, Five-Year Impact Factor: 3.212, Impact Factor (2013): 3.078.

5.      J.M. Sellier, I. T. Dimov. A Wigner Approach to the Study of Wave Packets in Ordered and Disordered Arrays of Dopants,  Physica A: Statistical Mechanics and its Applications, Volume 406 (2014), pp. 185–190, Elsevier, 2014. ISSN: 0378-4371, DOI:10.1016/j.physa.2004.04.121, Five-Year Impact Factor: 1.651, Impact Factor (2012): 1.676, SJR indicator (2012): 0.634.

6.      J.M. Sellier, I. T. Dimov. A Wigner Monte Carlo Approach to Density Functional Theory, Journal of Computational Physics, Volume 270 (2014), pp. 265–277, Elsevier, ISSN: 0021-9991. Five-Year Impact Factor: 2.851, Impact Factor (2013): 2.138, SJR indicator (2012): 1.921.

7.      J.M. Sellier, S.M. Amoroso, M. Nedjalkov, S. Selberherr, A. Asenov, and I. T. Dimov. Electron dynamics in nanoscale transistors by means of Wigner and Boltzmann approaches, Physica A: Statistical Mechanics and its Applications, Volume 398 (2014), Pages 194–198, doi:10.1016/j.physa.2013.12.045, Five-Year Impact Factor: 1.651, Impact Factor (2012): 1.676, SJR indicator (2012): 0.634.

8.      P Ellinghaus, J Weinbub, M Nedjalkov, S Selberher, and I. T. Dimov. Distributed-memory parallelization of the Wigner Monte Carlo method using spatial domain decomposition, Journal of Computational Electronics, Volume 13 (2014), pp. 1-12, ISSN: 1569-8025 (Print)  1572-8137 (Online), DOI 10.1007/s10825-014-0635-3, 2013 Impact Factor; 1.372, Cited half-life. 4.50

9.      H. Chervenkov, I. T. Dimov, Z.  Zlatev. Spline interpolation for modelling of accumulated effects of ozone, International Journal of Environment and Pollution, Volume 54, Number 1/2014, Pages 17-31, DOI 10.1504/IJEP.2014.064048, ISSN 0957-4352 (Print), 1741-5101 (Online), Impact factor, 0.626, http://www.speciation.net/Database/Journals/International-Journal-of-Environment-and-Pollution-;i2627

10.  J.M. Sellier, M. Nedjalkov, I. Dimov, and S. Selberherr, Decoherence and Time Reversibility:The Role of Randomness at Interfaces, Journal of Applied Physics (Impact Factor: 2.220) , 2013, accepted,  ISSN 0021-8979, 5Year IF 2.22.

11.  J.M. Sellier, M. Nedjalkov, I. T.  Dimov, S. Selberherr. A benchmark study of the Wigner Monte-Carlo method, Monte Carlo Methods and Applications, Volume 20, Issue 1 (Mar 2014), Pages 43–51, ISSN (Online) 1569-3961, ISSN (Print) 0929-9629, De Gruyter, 2014. DOI: 10.1515/mcma-2013-0018, Mathematical Citation Quotient: 0.12, SJR indicator (2012): 0.224, http://scholar.google.bg/citations?view_op=view_citation&hl=en&user=pl2RrEEAAAAJ&sortby=pubdate&citation_for_view=pl2RrEEAAAAJ:zLWjf1WUPmwC

12.  Z.  Zlatev, K.  Georgiev, and I. T.  Dimov. Stability Properties of Explicit Runge-Kutta Methods Combined with Richardson Extrapolation,  Large-Scale Scientific Computing, Lecture Notes in Computer Science, Volume 8353, Pages 428-435 (Editors: Ivan Lirkov,  Svetozar Margenov,  Jerzy Waśniewski), ISBN:  978-3-662-43879-4 (Print)  978-3-662-43880-0 (Online)  2014,   pp 186-193,  2014, http://scholar.google.bg/citations?view_op=view_citation&hl=en&user=pl2RrEEAAAAJ&sortby=pubdate&citation_for_view=pl2RrEEAAAAJ:hMsQuOkrut0C

13.  P Schwaha, M Nedjalkov, S Selberherr, JM Sellier, I. T. Dimov, and  R. Georgieva. Stochastic Formulation of Newton’s Acceleration, Large-Scale Scientific Computing, Lecture Notes in Computer Science, Volume 8353, Pages 178-185 (Editors: Ivan Lirkov,  Svetozar Margenov,  Jerzy Waśniewski), ISBN:  978-3-662-43879-4 (Print)  978-3-662-43880-0 (Online)  2014,   pp 186-193,  2014,

http://rd.springer.com/chapter/10.1007/978-3-662-43880-0_19

14.  JM Sellier, M Nedjalkov, I . T. Dimov, and S.  Selberherr. The role of annihilation in a Wigner Monte Carlo approach, Large-Scale Scientific Computing, Lecture Notes in Computer Science, Volume 8353, Pages 186-193 (Editors: Ivan Lirkov,  Svetozar Margenov,  Jerzy Waśniewski), ISBN:  978-3-662-43879-4 (Print)  978-3-662-43880-0 (Online)  2014,   pp 186-193,  2014, http://scholar.google.bg/citations?view_op=view_citation&hl=en&user=pl2RrEEAAAAJ&sortby=pubdate&citation_for_view=pl2RrEEAAAAJ:g3aElNc5_aQC

15.  I.T. Dimov, S. Maire, J. M. Sellier. A New Walk on Equations Monte Carlo Method for Linear Algebraic Problems, HAL - Inria/ Open archive, 2014, HAL Id: hal-00979044

https://hal.inria.fr/hal-00979044,

https://hal.inria.fr/hal-00979044/, https://hal.inria.fr/hal-00979044/document

- 2013 -

I. T. Dimov, R. Georgieva. Multidimensional Sensitivity Analysis of Large-scale Mathematical Models. O.P. Iliev et al. (eds.), Numerical Solution of Partial Differential Equations: Theory, Algorithms, and Their Applications, Springer Proceedings in Mathematics & Statistics, Vol. 45, Springer Science+Business Media, New York, 2013, 137 – 156. ISBN: 978-1-4614-7171-4 (Print) 978-1-4614-7172-1 (Online). DOI 10.1007/978-1-4614-7172-1 8.

I. Dimov, R. Georgieva, Tz. Ostromsky, Z. Zlatev. Advanced algorithms for multidimensional sensitivity studies of large-scale air pollution models based on Sobol sequences,  Computers and Mathematics with Applications, Vol. 65 (3), “Efficient Numerical Methods for Scientific Applications”. Elsevier, 2013, 338 – 351. ISSN: 0898-1221. Doi: 10.1016/j.camwa.2012.07.005. IF (2012): 2.069. 5-year IF: 1.894.

I. Dimov and K. Atanassov, Interpretation of a Monte Carlo approach of a finite difference scheme by a game method for modeling, Proc. Jangjeon Math. Soc., Vol 16 (2013), No. 3, pp. 381-388, ( SJR index 0.352, Cites per doc. 0.954)

P. Schwaha, M. Nedjalkov, S. Selberherr, and I. Dimov, Monte Carlo Investigations of Electron Decoherence due to Phonons.- In: Monte Carlo Methods and Applications, Chapter 22, De Gruyter, K. K. Sabelfeld, I. Dimov (eds.); 2013, 203–211, ISBN: 978-3-11-029359-3 (book chapter).

N. Dobrinkova, S. Fidanova., I. T. Dimov, K. Atanassov, J. Mandel. Game-Method for Modelling and WRF-Fire Model Working Together. - In: Monte Carlo Methods and Applications, Chapter 9, De Gruyter, K. K. Sabelfeld, I. Dimov (eds.); 2013, 79 - 86. ISBN: 978-3-11-029359-3. (book chapter).

I. T. Dimov, R. Georgieva, Tz. Ostromsky, Z. Zlatev. Sensitivity Studies of Pollutant Concentrations Calculated by UNI-DEM with Respect to the Input Emissions. Central European Journal of Mathematics, "Numerical Methods for Large Scale Scientific Computing" 11 (8), 2013, pp. 1531 – 1545. ISSN:1895-1074. Doi: 10.2478/s11533-013-0256-2. IF (2012): 0.405.

Z. Zlatev, I. Dimov, K. Georgiev. Sensitivity of European Pollution Levels to Changes of Human-made Emissions, Chapter 4 in "Advanced Numerical Methods for Complex Environmental Models: Needs and Availability" (István Faragó, Ágnes Havasi, and Zahari Zlatev Eds), 2013, 301-326, eISBN: 978-1-60805-778-8, ISBN: 978-1-60805-778-1.

Z. Zlatev, K. Georgiev, I. Dimov. Parallel Computations in a Large-scale Air Pollution Model, Chapter 3 in "Advanced Numerical Methods for Complex Environmental Models: Needs and Availability" (István Faragó, Ágnes Havasi, and Zahari Zlatev Eds), 2013, 166-202, eISBN: 978-1-60805-778-8, ISBN: 978-1-60805-778-1.

I. T. Dimov, R. Georgieva, Tz. Ostromsky, Z. Zlatev. Variance-based Sensitivity Analysis of the Unified Danish Eulerian Model According to Variations of Chemical Rates. – In: I. Dimov, I. Faragó, and L. Vulkov (Eds.) Proceedings of NAA 2012, LNCS 8236, Springer, 2013, pp. 247 – 254. ISSN: 0302-9743. SJR (2012): 0.332.

Ostromsky, T., Dimov, I., Georgieva, R., Marinov, P., Zlatev, Z. High Performance Computing of Data for a New Sensitivity Analysis Algorithm, Applied in an Air Pollution Model.– In: I. Dimov, I. Faragó, and L. Vulkov (Eds.) Proceedings of NAA 2012, LNCS 8236, Springer, 2013,  428 – 436. ISSN: 0302-9743. SJR (2012): 0.332.

Tz. Ostromsky, I. T. Dimov, R. Georgieva, P. Marinov, Z. Zlatev. Sensitivity Study of a Large-Scale Air Pollution Model by Using High-Performance Computations and Monte Carlo Algorithms. – In: Proceedings of Fifth International Conference AMiTaNS'13, June 24 - 29, 2013, Albena, Bulgaria, AIP Conf. Proceedings 1561, 2013, 153 – 163. ISSN: 0094-243X; ISBN: 978-0-7354-1189-0. Doi: 10.1063/1.4827224. SJR (2012): 0.161.

S. Amoroso, L. Gerrer, A. Asenov, J. M. Sellier, I. Dimov, M. Nedjalkov, S. Selberherr. Quantum Insights in Gate Oxide Charge-Trapping Dynamics in Nanoscale MOSFETs, International Conference on Simulation of Semiconductor Processes and Devices (SISPAD), Glasgow, Scotland, United Kingdom; 2013-09-03 - 2013-09-05; in: "Proceedings of the 18th International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)", (2013), ISBN: 978-1-4673-5733-3; 25 - 28.

J . M. Sellier, M. Nedjalkov, I. Dimov, S. Selberherr. Two-dimensional Transient Wigner Particle Model, International Conference on Simulation of Semiconductor Processes and Devices (SISPAD), Glasgow, Scotland, United Kingdom; 2013-09-03 - 2013-09-05; in: "Proceedings of the 18th International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)", (2013), ISBN: 978-1-4673-5733-3; 404 - 407.

P. Schwaha, J. M. Sellier, M. Nedjalkov, I. Dimov, S. Selberherr. The Ultimate Equivalence Between Coherent Quantum and Classical Regimes. International Workshop on Computational Electronics (IWCE), Nara, Japan; 2013-06-04 - 2013-06-07; in: "Proceedings of the 16th International Workshop on Computational Electronics (IWCE 2013)", (2013), ISBN: 978-3-901578-26-7; 152 - 153.

- 2012 -  top

Dimov, I., R. Georgieva, Tz. Ostromsky. Monte Carlo Sensitivity Analysis of an Eulerian Large-scale Air Pollution Model. Reliability Engineering and System Safety 107 (2012), 23-28. Elsevier. ISSN: 0951-8320. Doi: 10.1016/j.ress.2011.06.007. IF (2010): 1.897; 5-year IF: 2.023.

Ostromsky, Tz., I. T. Dimov, R. Georgieva, Z. Zlatev. Parallel Computation of Sensitivity Analysis Data for the Danish Eulerian Model. – In: Proceedings of LSSC 2011, I. Lirkov, S. Margenov, and J. Wa´sniewski (Eds.): LNCS 7116, Springer, 2012, 301-309. ISSN: 0302-9743, SJR (2011): 0.034.

M. Nedjalkov, S. Selberherr, D.K. Ferry, D. Vasileska, P. Dollfus, D. Querlioz, I. Dimov, P. Schwaha. Physical scales in the Wigner–Boltzmann equation. Annals of Physics 328 (2013), 220 – 237 (Available online: 9 October 2012. IF (2012): 2.857. 5-Year IF: 3.090. SJR (2011): 1.883.

P. Schwaha, M. Nedjalkov, S. Selberherr, I. Dimov. Phonon-Induced Decoherence in Electron Evolution. – In: Proceedings of LSSC 2011, LNCS 7116, Springer, I. Lirkov, S. Margenov, J. Wasniewski (eds.), 2012, 472 - 479. ISSN: 0302-9743. SJR (2011): 0.331.

P. Schwaha, M. Nedjalkov, S. Selberherr, I. Dimov. Particle-Grid Techniques for Semiclassical and Quantum Transport Simulations. - In: Proceedings of the 15th International Workshop on Computational Electronics, IEEE Xplore, 2012, 177-178, ISBN: 978-1-4673-0705-5, 1 - 3.

Z. Zlatev, K. Georgiev, I. Dimov, Influence of climatic changes on pollution levels in the Balkan Peninsula, Computers and Mathematics with Applications, , Vol. 65 (3), “Efficient Numerical Methods for      Scientific Applications”. Elsevier. ISSN: 0898-1221. Doi: 10.1016/j.camwa.2012.07.005. IF (2012): 1.747. 5-year IF: 1.643.

Ostromsky, Tz., I. T. Dimov, P. Marinov, R. Georgieva, Z. Zlatev. Advanced Sensitivity Analysis of the Danish Eulerian Model in Parallel and Grid Environment. – In: Proceedings of Third International Conference AMiTaNS'11, June 20 - 25, 2011, Albena, AIP Conf. Proceedings 1404, 2011, pp. 225 – 232. ISSN: 0094-243X; ISBN: 978-0-7354-0976-7. Doi: 10.1063/1.3659924. SJR (2012): 0.161.

Dobrinkova N., Fidanova S., Dimov I., Atanassov K., Mandel J., Game-Method for Modelling and WRF-Fire Model Working Together, In Monte Carlo Methods and Aplications, Edited by Sabelfeld, Karl K. / Dimov, Ivan, Chapter 9, ISBN: 9783110293586, De Gruyter, Berlin, Germany, 2012, pp. 79 -- 86.

- 2011 -

I.T. Dimov, R. Georgieva, Monte Carlo Method for Numerical Integration based on Sobol' Sequences, NM&A'10, 20–24 август, 2010, Springer, LNCS Vol. 6046, 50-59, ISSN 0302-9743.

M. Nedjalkov, S. Selberherr, I. Dimov, Stochastic Algorithm for Solving the Wigner-Boltzmann Correction Equation, LNSC, Vol. 6046, 95-102, ISSN 0302-9743.

I. Dimov, R. Georgieva, Tz. Ostromsky, Z. Zlatev. Variance-based Sensitivity Analysis of the Unified Danish Eulerian Model According to Variations of Chemical Rates. In: Proceedings of NAA 2012. LNCS, Springer. ISSN: 0302-9743. SJR (2011): 0.331.

Penzov, I. T. Dimov, G. I. Sirakova and V. N. Koylazov, Monte Carlo Estimator for Image Creation with Symmetric Sampling of Phong BRDF Model, American Institute of Physics Conference Proceedings, AIP vol. 1281, (ISSN 0094-243X, ISBN 978-0-7354-0834-0), 2010

Penzov, I. T. Dimov, N. M. Mitev, G. I. Sirakova and L. Szirmay-Kalos, Examining the Distribution of Sampling Point Sets on Sphere for Monte Carlo Image Rendering, American Institute of Physics Conference Proceedings, AIP vol. 1281, (ISSN 0094-243X, ISBN 978-0-7354-0834-0, DOI: ), 2010.

P. Schwaha, O. Baumgartner, M. Nedjalkov, S. Selberherr,  and I. Dimov, Classical Approximation of the SIWCE - Scattering Induced Wigner Correction Equation, Journal of Computational Electronics (IF 6.854), ISSN 1569-8025.

Z. Zlatev, I. Dimov, I. Farago, K. Georgiev, A. Havasi, Tz. Ostromsky, Implementation of Richardson Extrapolation in the treatment of one-dimensional advection equations, Numerical Methods and Applications, LNCS 6046, 198-206, ISSN 0302-9743.

I.T. Dimov, R. Georgieva, Monte Carlo Approaches for Model Sensitivity Studies,  In: BGSIAM proceeding of the 5th Annual Meeting of Bulgarian Section of SIAM. 2011, 17 - 22. ISSN: 1313-3357.

Tz. Ostromsky, I. Dimov, R. Georgieva, Z. Zlatev, Air pollution modelling, sensitivity analysis and parallel implementation. International Journal of Environment and Pollution, Vol. 46, Number 1-2 (September 2011), 83-96.  ISSN: 0957-4352  (IF = 0.626).

Tz. Ostromsky, I. Dimov, R. Georgieva, Z. Zlatev. Parallel Computation of Sensitivity Analysis Data for the  Danish Eulerian Model. In: Proceedings of 8-th International Conference  LSSC'11,  June 6 - 10, 2011, Sozopol, LNCS 7116, Springer,  pp. 301-309. ISSN: 0302-9743.

Tz. Ostromsky, I. Dimov, P. Marinov, R. Georgieva, Z. Zlatev. Advanced Sensitivity Analysis of the Danish Eulerian Model in Parallel and Grid Environment. - In: Proceedings of Third International Conference  AMiTaNS'11, June 20 - 25, 2011, Albena, AIP Conf. Proc.1404, pp. 225-232. ISSN: 0094-243X, ISBN: 978-0-7354-0976-7.

- 2010 -

I.T. Dimov, R. Georgieva, Monte Carlo Algorithms for Evaluating Sobol' Sensitivity Indices, Mathematics and Computers in Simulation 81 (3) (2010), 505-513 (IF = 0.946, 2010 г.). Doi:10.1016/j.matcom.2009.09.005.

I.T. Dimov, R. Georgieva, Monte Carlo Adaptive Technique for Sensitivity Analysis of a Large-Scale Air Pollution Model. - In Proceedings of LSSC 2009, LNCS 5910, 387-394 (2010). ISBN: 978-3-642-12534-8.

I.T. Dimov, R. Georgieva, S. Ivanovska, Tz. Ostromsky, Z. Zlatev, Studying the Sensitivity of Pollutants' Concentrations Caused by Variations of Chemical Rates, Journal of Computational and Applied Mathematics 235 (2010), 391 - 402 (IF=1.292, 2010 г.). Doi:10.1016/j.cam.2010.05.041.

Tz. Ostromsky, I. Dimov, R. Georgieva, Z. Zlatev, Sensitivity Analysis of a Large-scale Air Pollution Model: Numerical Aspects and a Highly Parallel Implementation, In: Large-Scale Scientific Computations, LNCS 5910, Springer, pp. 197-205, (2010), ISSN 0302-9743, ISBN 978-3-12534-8.

Penzov, I. T. Dimov, L. Szirmay-Kalos and V. N. Koylazov, Analysis of the Monte Carlo Image Creation by Uniform Separation, LNCS vol. 5910, (2010), pp. 417-424, ISSN 0302-9743, ISBN 978-3-642-12534-8. I.T. Dimov, R. Georgieva, Adaptive Monte Carlo Approach for Sensitivity Analysis. - In: Proceedings of Sixth International Conference on Sensitivity Analysis of Model Output, Milan, Italy, 19-22 July 2010, E. Borgonovo, A. Saltelli and S. Tarantola (eds.), Procedia Social and Behavioral Sciences 2 (2010), Elsevier, 7644–7645, ISSN: 1877-0428.

I.T. Dimov, R. Georgieva, Tz. Ostromsky, Adaptive Monte Carlo Algorithm for Sensitivity Studies of Eulerian Large-scale Air Pollution Models – In: Proceedings of Sixth International Conference on Sensitivity Analysis of Model Output, Milan, Italy, 19-22 July 2010, E. Borgonovo, A. Saltelli and S. Tarantola (eds.), Procedia Social and Behavioral Sciences 2 (2010), Elsevier, 7646–7647, ISSN: 1877-0428.

A. A. Penzov, I. T. Dimov, N. M. Mitev, G. I. Sirakova and L. Szirmay-Kalos, Examining the Distribution of Sampling Point Sets on Sphere for Monte Carlo Image Rendering, American Institute of Physics Conference Proceedings, AIP vol. 1281, (2010), pp. 2103-2106, ISSN 0094-243X, ISBN 978-0-7354-0834-0.

A. A. Penzov, I. T. Dimov, G. I. Sirakova and V. N. Koylazov, Monte Carlo Estimator for Image Creation with Symmetric Sampling of Phong BRDF Model, American Institute of Physics Conference Proceedings, AIP vol. 1281, (2010), pp. 2095-2098, ISSN 0094-243X, ISBN 978-0-7354-0834-0.

- 2009 -

Tz. Ostromsky, I. Dimov, Z. Zlatev, Parallel Performance and Scalability Experiments with the Danish Eulerian Model on the EPCC Supercomputers, Proc. NAA’08 June 16 - 20, 2008, Lozenetz, Bulgaria,  LNCS 5434 (2009), Springer, pp. 447-453 (ISBN 978-3-642-00463-6) (ISSN 0302-9743).

Anton A. Penzov, Ivan T. Dimov and Vladimir N. Koylazov, A Quasi Monte Carlo Solution of the Rendering Equation by Uniform Quadrangle Separation, ICCMSE 2008, AIP Conference Proceedings, Vol. 1148, (2009), pp. 184-188, ISSN 0094-243X, ISBN 978-0-7354-0685-8.

- 2008 -

Anton A. Penzov, Ivan T. Dimov and Stanislava S. Stoilova, Quasi Monte Carlo Approach with Uniform Separation for Solving of the Rendering Equation, ICNAAM 2007, AIP Conference Proceedings, Vol. 1046, (2008), pp. 114-118, ISSN 0094-243X, ISBN 978-0-7354-0574-5.

Anton A. Penzov, Ivan T. Dimov and Vladimir N. Koylazov, A New Solution of the Rendering Equation with Stratified Monte Carlo Approach, ICNAAM 2008, AIP Conference Proceedings, Vol. 1048, (2008), pp. 432-435, ISSN 0094-243X, ISBN 978-0-7354-0576-9.

S. Branford, C. Sahin, A. Thandavan, C. Weihrauch, V. Alexandrov, I. Dimov, Monte Carlo Methods for Matrix Computations on the Grid, Future Generation Computer Systems, Vol. 24 , Issue 6, (2008), 605-612.

E. Atanassov, I.T. Dimov, What Monte Carlo models can do and cannot do efficiently?, Applied Mathematical Modelling, Vol. 32, Issue 8, Special issue on numerical and computational issues related to applied mathematical modelling, ISSN 0307-904X (2008), 1477-1500 (impact factor 2006 - 0.583).

I. Dimov, B. Philippe, A. Karaivanova, C. Weihrauch, Robustness and Applicability of Markov Chain Monte Carlo Algorithms for Eigenvalue Problem, Journal of Applied Mathematical Modelling 32, (2008), 1511-1529 (impact factor 2006 - 0.583).

C. Sahin, C. Weihrauch, I. Dimov, V. Alexandrov, A Collaborative Working Environment for a Large Scale Environmental Model, Springer LNCS 4818, (2008), 442-449.

László Szirmay-Kalos, Gábor Liktor, Anton A. Penzov, Ivan Dimov, Karolj Skala and László Szécsi, Examining Random Number Generators Used in Stochastic Iteration Algorithms, International Conference Automatics and Informatics`08, (2008), Section VIII, pp. 33-36, ISSN 1313-1870.

Anton A. Penzov, László Szirmay-Kalos, Ivan Dimov and László Szécsi, Monte Carlo Algorithms for Photo-realistic Image Creation by Uniform Separation of the Integration Domain, International Conference Automatics and Informatics`08, (2008), Section VIII, pp. 37-41, ISSN 1313-1870.

- 2007 -

M. Nedjalkov, D. Vasileska, I.T. Dimov, and G. Arsov, Mixed initial-boundary value problem in particle modeling of microelectronic devices, Monte Carlo Methods Appl.,  Vol. 13, Issue 4 (2007), pp. 299-331.

E. Atanassov and I.T. Dimov, What Monte Carlo models can do and cannot do efficiently?, Applied Mathematical Modelling, (In Press, Corrected Proof, Available online at http://www.sciencedirect.com/science/journal/0307904X) (2007).

I.T. Dimov, B. Philippe, A. Karaivanova and C. Weihrauch, Robustness and applicability of Markov chain Monte Carlo algorithms for eigenvalue problems, Applied Mathematical Modelling, (In Press, Corrected Proof, Available online at http://www.sciencedirect.com/science/journal/0307904X) (2007).

S. Branford, C. Sahin, A. Thandavan, C. Weihrauch, V.N. Alexandrov and I.T. Dimov, Monte Carlo methods for matrix computations on the grid, Future Generation Computer Systems, (In Press, Corrected Proof, Available online) (2007).

I.T. Dimov, E. Atanassov, Exact Error Estimates and Optimal Randomized Algorithms for Integration, NMA 2006, T. Boyanov et al. (Eds.), Springer Lecture Notes in Computer Science, Vol. 4310 (2007), pp.131-139.

I.T. Dimov, A.A. Penzov, and S.S. Stoilova, Parallel Monte Carlo Sampling Scheme for Sphere and Hemisphere, NMA 2006, T. Boyanov et al. (Eds.),  Springer Lecture Notes in Computer Science, Vol. 4310 (2007),  pp.140-147.

I.T. Dimov, A.A. Penzov, and S.S. Stoilova, Parallel Monte Carlo Approach for Integration of the Rendering Equation, NMA 2006, T. Boyanov et al. (Eds.),  Springer Lecture Notes in Computer Science, Vol. 4310 (2007), pp.148-155.

P. Csomos, I.T. Dimov, I. Farago, A. Havasi, and Tz. Ostromsky, Computational Complexity of Weighted Splitting Schemes on Parallel Computers, International Journal of Parallel, Emergent and Distributed Systems,  Vol. 22, Issue 3 (2007), pp. 137-147  (ISSN 1744-5760).

I. Dimov and R. Georgieva, Complexity of Monte Carlo Algorithms for a Class of Integral Equations, Computational Science (Y. Shi et al. Eds.): ICCS 2007, Part I, Lecture Notes in Computing Sciences, Springer-Verlag Berlin Heidelberg, Vol. 4487, (2007), pp. 731-738.

T. Gurov, E. Atanasov, M. Nedjalkov, and I. Dimov, Modeling of Carrier Transport in Nanowires, Computational Science (Y. Shi et al. Eds.): ICCS 2007, Part I, Lecture Notes in Computing Sciences, Springer-Verlag Berlin Heidelberg, Vol. 4487, (2007), pp. 739-746.

I. Dimov, V. Alexandrov, R. Papancheva, and C. Weihrauch, Monte Carlo Numerical Treatment of Large Linear Algebra Problems, Computational Science (Y. Shi et al. Eds.): ICCS 2007, Part I, Lecture Notes in Computing Sciences, Springer-Verlag Berlin Heidelberg, Vol. 4487, (2007), pp. 747-754.

- 2006 -

I. Dimov, V. Alexandrov, S. Branford, and C. Weihrauch, Error Analysis of a Monte Carlo Algorithm for Computing Bilinear Forms of Matrix Powers, Computational Science (V.N. Alexandrov et al. Eds.), Lecture Notes in Computing Sciences, Springer-Verlag Berlin Heidelberg, Vol. 3993, (2006), 632-639.

I. Dimov, Optimal Monte Carlo Algorithms, Proceedings IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing, October 2006, Sofia, Bulgaria, IEEE, Los Alamitos, California (2006), 125-131.

M. Nedjalkov, D. Vasileska, D.K. Ferry, C. Jacoboni, C. Ringhofer, I. Dimov, and V. Palankovski, Wigner Transport models of the electron-phonon kinetics in quantum wires, PHYSICAL REVIEW B, Vol. 74,  (2006), 035311-1 -- 035311-18.

C. Weihrauch, I. Dimov, S. Branford, and V. Alexandrov, Comparison of the Computational Cost of a Monte Carlo and Deterministic Algorithm for Computing Bilinear Forms of Matrix Powers, Computational Science (V.N. Alexandrov et al. Eds.), Lecture Notes in Computing Sciences, Springer-Verlag Berlin Heidelberg, Vol. 3993, (2006), 640-647.

T. Gurov, E.  Atanassov, I. Dimov, and V. Palankovski, Femtosecond Evolution of Spatially Inhomogeneous Carrier Excitations: Part II: Stochastic Approach and GRID Implementation, Lecture Notes in Computing Sciences, Springer-Verlag Berlin Heidelberg, Vol. 3743, (2006), 157-163.

I.T. Dimov, Bulgarian Information Society Centre of Excellence for Education, Science, and Technology in 21 Century (BIS-21), Advances in Bulgarian Science, No 3 (2006), Sofia, national Centre for Information and Education, 27-32, (ISSN 1312-6164) (this is an information but not a scientific paper).

- 2005 -

I. Dimov, Tz. Ostromsky and Z. Zlatev, Challenges in Using Splitting Techniqies for Large-Scale Environmental Modeling, Proc. NATO ARW'04, Borovetz, Bulgaria, Advances in Air Pollution Modeling for Environmental Security (I. Fargo et al. Eds), Springer-Verlag, The Nitherlands (2005), pp. 115-131.

I. Dimov, G. Geernaert and Z. Zlatev, Fighting the Great Challenges in Large-scale Environmental Modelling, NATO Science, Series 2, Advances in Air Pollution Modeling for Environmental Security (I. Fargo et al. Eds), Springer-Verlag, The Nitherlands, Vol. 54, (2005), pp. 105-114.

V. Alexandrov, E. Atanasov, I. Dimov, S. Branford, A. Thandavan and C. Weihrauch, Parallel Hybrid Mante Carlo Algorithms for Matrix Computations, ICCS 2005 (V.S. Sunderam et al. Eds), Lecture Notes in Computer Science, Vol. 3516, Springer-Verlag Berlin Heidelberg (2005), pp. 752-759.

Tz. Ostromsky, I. Dimov, Z. Zlatev, Parallel implementation and one year experiments with the Danish Euleian Model, Lecture Notes in Computer Science, Vol. 3401 (2005), Springer-Verlag, pp. 440-447.

I. Dimov, T. Gurov, A. Penzov, A Monte Carlo Approach for the Cook Torrance Model, Lecture Notes in Computer Science, Vol. 3401, Springer-Verlag Berlin Heidelberg (2005), 257-265.

T. Gurov, A. Penzov and I. Dimov, A Monte Carlo Method for the Rendering Equation, Sozopol 2004 (to appear).

- 2004 –

V. Alexandrov, E. Atanassov, I. Dimov,  Parallel Quasi-Monte Carlo Methods for Linear Algebra Problems,  Monte Carlo Methods and Applications, Vol. 10, No. 3-4 (2004), pp. 213-219.

I. Dimov, K. Georgiev, Tz. Ostromsky and Z. Zlatev, Computational challenges in the numerical treatment of large air pollution  models, Ecological Modelling, Vol. 179 (2004),  pp. 187-203.

I. Dimov, I. Farago, A. Havasi and Z. Zlatev, Operator Splitting and Commutativity Analysis in the Danish Eulerian Model, Mathematics and Computers in Simulation, Vol. 67, Issue 3 (2004), pp. 217-233.

E.I. Atanassov, I.T. Dimov and M.K. Durchova, A new Quasi-Monte Carlo algorithm for numerical integration of smooth functions, Lecture Notes in Computer Science, Vol. 2907, Springer-Verlag (2004), 128-135.

T.V. Gurov and I.T. Dimov, A parallel Monte Carlo method for electron quantum kinetic equation, Lecture Notes in Computer Science, Vol. 2907, Springer-Verlag (2004), 153-161.

- 2003 -

E. Atanassov, I. Dimov, A. Dubus, A New Weighted Monte Carlo Algorithm for Elastic Electron Backscattering from Surfaces, Mathematics and Computers in Simulation, Vol. 62 (2003), pp. 297-305.

V.N. Alexandrov, I.T. Dimov, A. Karaivanova, C.J.K.Tan, Parallel Monte Carlo Algorithms for Information Retrieval, Mathematics and Computers in Simulation, Vol. 62 (2003), pp. 289-295.

T.V. Gurov, P.A. Whitlock, I.T. Dimov, Monte Carlo and Quasi-Monte Carlo Algorithms for the Barker-Ferry Equation with Low Complexity,  Lecture Notes in Computer Science, #  2542, (2003), Springer-Verlag, Berlin, Heidelberg, New York, pp. 108-116.

R.J. Papancheva, I.T. Dimov, T.V. Gurov, A New Class of Grid-Free Monte Carlo Algorithms for Elliptic Boundary Value Problems, 5th Int. conf. on NMA, August, 2002, Borovets, Bulgaria, Springer Lecture Notes in Computer Science, # 2542, (2003), Springer-Verlag, Berlin, Heidelberg, New York, pp. 132-139.

R.J. Papancheva, T.V. Gurov, I.T. Dimov, Monte Carlo Study of Particle Transport Problem in Air Pollution, Pliska Studia Mathematica Bulgarica, 2003.

T.V. Gurov, I.T. Dimov, M. Nedjalkov, A Stochastic Approach for Investigation Ultrafast Phenomena in Semiconductor,  Pliska Studia Mathematica Bulgarica, 2003.

I. Dimov, A. Karaivanova, R. Georgieva, S. Ivanovska, Parallel Importance Separation and Adaptive Monte Carlo Algorithms for Multiple Integrals, 5th Int. conf. on NMA, August, 2002, Borovets, Bulgaria, Springer Lecture Notes in Computer Science, # 2542, (2003), Springer-Verlag, Berlin, Heidelberg, New York, pp. 99- 107.

I. Dimov, A. Karaivanova, V. Alexandrov, Performance Analysis of Monte Carlo Algorithms for Eigenvalue Problems, ILAS'99, Barcelona, Spain, MS#: 9911-423B-BA, 2003.

I. Dimov, R. Papancheva, Green's function Monte Carlo algorithms for elliptic problems, Mathematics and Computers in Simulation, Vol. 63/6 (2003), 587-604.

- 2002 -

I. Dimov, G. Geernaert and Z. Zlatev, Influence of future climate changes in Europe on exceeded ozone critical levels. In: "Nordic Meteorological Meeting 23, 2002" (H. E. Joergensen, Ed.), (available electronically at http://www.dams.dk/nmm2002/proceedings.htm), 2002.

I. Dimov, G. Geernaert and Z. Zlatev, Influence of future climate changes in Europe on exceeded ozone critical levels. In: "Proceedings from the EUROTRAC-2 Symposium 2002" (P. M. Midgley and M. Reuther , eds.). Margraf Verlag, Weikersheim, 2002.

I. Dimov and Z. Zlatev, Optimization problems in air pollution modelling. In: "Handbook on Applied Optimization (P. M. Pardalos and M. G. C. Resende, eds.), pp. 943-956, Oxford University Press, Oxford-New York, 2002.

I. Dimov, K. Georgiev, Tz. Ostromsky, R. J. van der Pas, Z. Zlatev, Computational Challenges in the Numerical Treatment of Large Air Pollution Models, Mathpreprints Server: http://www.mathpreprints.com/math/Preprint/zlatev/20011210/3/

- 2001 -

Z. Zlatev, I. Dimov, Tz. Ostromsky, G. Geernaert, I. Tzvetanov and A. Bastrup-Birk, Calculating losses of crops in Denmark caused by high ozone levels, J. Environmental Modeling and Assessment, Vol. 6 (2001), Kluwer Academic Publishers, pp. 35-55.

I. Dimov, V. Alexandrov, A. Karaivanova, Parallel resolvent Monte Carlo algorithms for linear algebra problems, J. Mathematics and Computers in Simulation, Vol. 55 (2001), pp. 25-35.

T. Gurov, P. Whitlock, I. Dimov, A grid free Monte Carlo algorithm for solving elliptic boundary value problems, Lecture Notes in Computer Science, Vol. 1988, Springer-Verlag, Berlin Heidelberg, 2001, pp. 359-367. 

T. Ostromski, I. Dimov, I. Tzvetanov and Z. Zlatev, Estimation of the Wheat Losses Caused by the Tropospheric Ozone in Bulgaria and Denmark, Lecture Notes in Computer Science, Vol. 1988, Springer-Verlag, Berlin Heidelberg, 2001, pp. 636-643. 

I. Dimov, E. Atanassov, M. Durchova, An Improved Monte Carlo Algorithm for Elastic Backscattering from Surfaces, Lecture Notes in Computer Science, Vol. 2179 (2001), Conference of Large-Scale Scientific Computing  – LSSC2001 - Sozopol, Bulgaria, Springer-Verlag, Berlin, pp. 141- 148.

A. Karaivanova, I. Dimov, S. Ivanovska, A Quasi- Monte Carlo Method for Integration with Improved Convergence, Lecture Notes in Computer Science, Vol. 2179 (2001), Conference of Large-Scale Scientific Computing  – LSSC2001 - Sozopol, Bulgaria, Springer-Verlag, Berlin, pp. 158 - 165.

M. Nedjalkov, H. Kosina, S. Selberherr, I. Dimov, A Backward Monte Carlo Method for Simulation of the Electron Quantum Kinetics in Semiconductors, VLSI DESIGN (2001), Vol. 13, Nos. 1-4, pp. 405-411.

I. Dimov, I. Farago, A. Havasi and Zahari Zlatev, L-commutativity of the operators in splitting methods for air pollution models, Annales Univ. Sci. Budapest, Vol.  44 (2001) pp. 127-148

- 2000 -

I. Dimov, Monte Carlo Algorithms for Linear Problems, Pliska (Studia Mathematica Bulgarica), Vol. 13 (2000), Proceedings of the 9th International Summer School on Probability Theory and Mathematical Statistics, Sozopol, 1997, pp. 57-77.

I. Dimov, T. Gurov, Monte Carlo Algorithm for Solving Integral Equations with Polynomial Non-linearity. Parallel Implementation, Pliska (Studia Mathematica Bulgarica), Vol. 13 (2000), Proceedings of the 9th International Summer School on Probability Theory and Mathematical Statistics, Sozopol, 1997, pp. 117-132.

I. Dimov, A. Karaivanova, Statistical Numerical Methods for Eigenvalue Problem. Parallel Implementation, Pliska (Studia Mathematica Bulgarica), Vol. 13 (2000), Proceedings of the 9th International Summer School on Probability Theory and Mathematical Statistics, Sozopol, 1997, pp. 133-149.

I. Dimov, Tz. Ostromsky, I. Tzvetanov, Z. Zlatev, Economical Estimation of the Losses of Crops Due to High Ozone Levels, Large-Scale Scientific Computations of Engineering and Environmental Problems II (M. Griebel, S. Margenov, P. Yalamov, eds.), NNFM, Vol.73, Vieweg, Braunscheig, Germany (2000), pp. 275-282.

- 1999 -

E. Atanassov, I. Dimov, A new optimal Monte Carlo method for calculating integrals of smooth functions, Journal of Monte Carlo Methods and Applications, Vol. 5, (1999), No 2, pp. 149-167.

I. Dimov, A. Karaivanova, A Power Method with Monte Carlo Iterations, Recent Advances in Numerical Methods and Applications, O. Iliev, M. Kaschiev, Bl. Sendov, P. Vassilevski, eds., World Scientific, 1999, Singapore, pp. 239-247.

T. Gurov, M. Nedjalkov, I. Dimov, A Monte Carlo Branch Method for Simulation of Nonlinear Electron Quantum Kinetics in One-Band Semiconductor, Recent Advances in Numerical Methods and Applications, O. Iliev, M. Kaschiev, Bl. Sendov, P. Vassilevski, eds., World Scientific, 1999,  Singapore, pp. 257-265.

I. Dimov, I. Farago and Z. Zlatev, Commutativity of the operators in splitting methods for air pollution, Technical Report of the Central Laboratory for Parallel Processing, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Bl. 25A, 1113 Sofia, Bulgaria, 1999.

I. Dimov, Tz. Ostromsky, I. Tzvetanov, Z. Zlatev, Economical estimation of the losses of crops due to high ozone levels in the Bulgarian atmosphere, Agricultural Economics and Management, 5 (1999), pp. 48-52 (in Bulgarian).

- 1998 -

I.T. Dimov, V. Alexandrov, A. Karaivanova, Implementation of Monte Carlo Algorithms for Eigenvalue Problem Using MPI, Lecture Notes in Computing Sciences, PVM/MPI’98 (V. Alexandrov and J. Dongarra Eds.),  Springer-Verlag Berlin Heidelberg, LNCS, Vol. 1497, (1998), pp. 346-353.

M. Nedjalkov, I. Dimov, Convergency of the Monte Carlo algorithms for semiconductor transport modelling, Mathematics and Computers in Simulation, Vol. 47 (1998), pp. 383-390.

M. Nedjalkov, T. Gurov, I.T. Dimov, Statistical Modelling of Pulse Excited Electron Quantum Kinetics in One-band Semiconductor, Mathematics and Computers in Simulation, Vol. 47 (1998), pp. 391-402.

A. Karaivanova, I. Dimov, Error analysis of an Adaptive Monte Carlo Method for Numerical Integration, Mathematics and Computers in Simulation, Vol. 47 (1998), pp. 201-213.

I.T. Dimov, T.V. Gurov, Estimates of the computational complexity of iterative Monte Carlo algorithm based on Green's function approach, Mathematics and Computers in Simulation, Vol. 47 (1998), pp. 183-199.

I.T. Dimov, V. Alexandrov, A New Highly Convergent Monte Carlo Method for Matrix Computations, Mathematics and Computers in Simulation, Vol. 47 (1998), pp. 165-181.

I. Dimov, A. Karaivanova, Parallel computations of eigenvalues based on a Monte Carlo approach, Monte Carlo Method and Applications, Vol. 4, Nu. 1, (1998), pp. 33-52.

M. Nedjalkov, I. Dimov, H. Haug, Numerical Studies of the Markovian Limit of the Quantum Kinetics with Phonon Scattering, Phys. stst. sol. (b), Vol. 209 (1998), pp. 109-121.

M. Becka, I. Dimov, S. Robert and M. Vajtersic, Testing the parallel SVD codes for dense matrices, International Conference on Parallel Computing in Electrical Engineering (PARELEC'98), Bialystok, Poland, September 2-5, 1998 (http://falco.man.bialystok.pl/parelec98/

I. Dimov, T. Dimov, T. Gurov, A New Iterative Monte Carlo Approach for Inverse Matrix Problem, Journal of Computational and Applied Mathematics, Vol. 92 (1998), pp. 15-35.

- 1997 -

M. Nedjalkov, I. Dimov, P. Bordone, R. Brunetti, C. Jacoboni, Using the Wigner Function for Quantum Transport in Device Simulation, Journal of Mathematical and Computer Modelling, Vol. 25 (1997), No. 12, pp. 33-53.

I. Dimov, A. Karaivanova and P. Yordanova, Monte Carlo Algorithms for calculating eigenvalues, Second International Conference on Monte Carlo and Quasi-Monte Carlo methods in scientific computing, University of  Salzburg, 8-12 July, 1996, (in: Proceedings of MC \& QMC 96, Springer  Notes in Statistics (H. Niederreiter, P. Hellekalek, G. Larcher and P. Zinterhof, Eds)), 1997, pp. 205-220.

I. Dimov, U. Jaekel, H. Vereecken, D. Wendt, A numerical approach for determination of sources in reactive transport equations, Second International Conference on Monte Carlo and Quasi-Monte Carlo methods in scientific computing, University of Salzburg, 8-12 July, 1996, (in: Proceedings of MC & QMC 96, Springer  Notes in Statistics (H. Niederreiter, P. Hellekalek, G. Larcher and P. Zinterhof, Eds)), 1997, pp. 189 - 204.

Dimov, I., Georgiev, K., Zlatev, Z., Long-range transport of air pollutants and source receptor relations, in: "Large-Scale Computations in Engineering and Environmental Sciences", Notes on Numerical Fluid Mechanics, Vol. 62 (M. Griebel, O. Iliev, S. Margenov and P.S. Vassilevski, Eds), Workshop on "Large-Scale Scientific Computations", Varna, Bulgaria, June, 1997, Proceedings, 1997, pp. 155-166.

I. Dimov, Z. Zlatev, Testing the Sensitivity of Air Pollution Levels to Variations of some Chemical Rate Constants, in: "Large-Scale Computations in Engineering and Environmental Sciences", Notes on Numerical Fluid Mechanics, Vol. 62 (M. Griebel, O. Iliev, S. Margenov and P.S. Vassilevski, Eds), Its Workshop on "Large-Scale Scientific Computations", Varna, Bulgaria, June, 1997, Proceedings, 1997, pp. 167-175.

J. Brandt, I. Dimov, K. Georgiev, I. Uria, Z. Zlatev, Numerical Algorithms for the Three-dimensional Version of the Danish Eulerian Model}, in: "Regional Modelling of Air Pollution in Europe"}, G. Geernaert, A. Walloe Hansen and Z. Zlatev (Eds.), Proc. of the first REMAPE Workshop, Copenhagen, Denmark, September 1996, Ministry of Environment and Energy, NERY, 1997, pp. 249-262.

- 1996 -

I. Dimov, U. Jaekel, H. Vereecken, A Numerical Approach for Determination of Sources in Transport Equations. J. Computers and Mathematics with Applications, Vol. 32, No. 5 (1996), pp. 31-42.

M. Nedjalkov, I. Dimov, F. Rossi, C. Jacoboni, Convergence of the Monte Carlo Algorithm for the Solution of the Wigner Quantum-Transport Equation, Journal of Mathematical and Computer Modelling, Vol. 23, No.8/9 (1996), pp. 159-166.

Z. Zlatev, I. Dimov, K. Georgiev, Three--dimensional Version of the Danish Eulerian Model, Zeitung fuer Augewandte Mathematik und Mechanik (ZAMM), Z. angew. Math Mech. Vol 76, S4 (1996), pp. 473-476.

I. Dimov, A. Karaivanova, H. Kuchen, H. Stoltze, Monte Carlo Algorithms for Elliptic Differential Equations. Data Parallel Functional Approach, Journal of Parallel Algorithms and Applications, Vol. 9 (1996), pp. 39-65.

I. Dimov, K. Georgiev, J. Wasniewski and Z. Zlatev, Three-Dimensional Version of the Danish Eulerian Model, in Applied Parallel Computing, Second International Workshop, PARA'95 Lyngby, Denmark, August 1995, Proceedings (Jack Dongarra, Kaj Madsen and Jerzy Wasniewski, Eds.), Lecture Notes in Computer Science No. 1041, Springer-Verlag, 1996, pp. 151-157.

Z. Zlatev, I. Dimov, K. Georgiev, J. Wasniewski, Parallel Computations with Large Atmospheric Models, in Applied Parallel Computing, Second International Workshop, PARA'95 Lyngby, Denmark, August 1995, Proceedings (Jack Dongarra, Kaj Madsen and Jerzy Wasniewski, Eds.), Lecture Notes in Computer Science No. 1041, Springer-Verlag, 1996, pp. 550-560.

H. Kuchen, H. Stoltze, I. Dimov, A. Karaivanova, Distributed Memory Implementation of Elliptic Partial Differential Equations in a Data parallel Functional Language, International Conference on Massively Parallel Programming Models, Berlin, October 1995, IEEE Computer Society Press, Costumer Service Center, 10662 Los Vaqueros Circle, P.O. Box 3014, Los Alamitos, CA 90720-1264, pp. 142-150.

Ivan T. Dimov, Aneta N. Karaivanova, A Fast Monte Karlo Method for Matrix Computations, in Iterative Methods in Linear Algebra II, IMACS Series in Computational and Applied Mathematics (S. Margenov and P.S. Vassilevski eds.), 1996, pp. 204-213.

I. T. Dimov and A. N. Karaivanova, Iterative Monte Carlo algorithms for linear algebra problems, First Workshop on Numerical Analysis and Applications, Rousse, Bulgaria, June 24-27, 1996, in Numerical Analysis and Its Applications, Springer Lecture Notes in Computer Science, ser. 1196, pp. 150-160.

 J. Brandt, J. Christensen, I. Dimov, K. Georgiev, I. Uria and Z. Zlatev, Treatment of large air pollution models, First Workshop on Numerical Analysis and Applications, Rousse, Bulgaria, June 24-27, 1996, in Numerical Analysis and Its Applications, Springer Lecture Notes in Computer Science, ser. 1196, pp. 66-77.

J. Brandt, I. Dimov, K. Georgiev, J. Wasniewski, Z. Zlatev, Coupling the Advection and the Chemical Parts of Large Air Pollution Models, in Applied Parallel Computing, Third International Workshop, PARA'96 Lyngby, Denmark, August 1996, Proceedings ( Jerzy Wasniewski, Jack Dongarra, Kaj Madsen and Dorte Olesen, Eds.),  Lecture Notes in Computer Science No. 1184, Springer-Verlag, 1996, pp. 65-76.

I. Dimov, V. Alexandrov, A New Highly Convergent Parallel Monte Carlo Method for Matrix Computations, Technical report of the University of Liverpool, Department of Statistics and Computational Mathematics, 1996.

I.T.Dimov@reading.ac.uk