Aarhus Universitets segl

Publikationer fra Technical Sciences

Følg med i de senest publicerede videnskabelige artikler fra Faculty of Technical Sciences. Oversigten viser fakultetets publikationer med de nyeste øverst.


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Zlatev, Z., Ebel, A., Georgiev, K. & Jose, R. S. (2008). Large scale computations in environmental modelling: Editorial introduction. Ecological Modelling, 217, 207-208.
Zlatev, Z., Ebel, A. & Georgiev, K. (2008). Editorial: large-scale computations in environmental modelling. International Journal of Environment and Pollution, 32(2), 135-138.
Zlatev, Z., Farago, I. & Simon, P. L. (2009). Large scale scientific computations: Editorial introduction. Journal of Computational and Applied Mathematics, 226, 187-189. https://doi.org/10.1016/j.cam.2008.08.010
Zlatev, Z., Farago, I. & Havasi, A. (2010). On Some Stability Properties of the Richardson Extrapolation Applied Together with the theta-Method. Lecture Notes in Computer Science, 5910, 54-66.
Zlatev, Z., Farago, I. & Havasi, A. (2010). Stability of the Richardson Extrapolation applied together with the theta-method. Journal of Computational and Applied Mathematics, 235(2), 507-517. https://doi.org/10.1016/j.cam.2010.05.052
Zlatev, Z. & Østerby, O. (1980). Absolute stability properties of the explicit linear 3-step formulae. Department of Computer Science, Aarhus University. DAIMI PB Nr. 124
Zlatev, Z., Dimov, I., Georgiev, K., Ostromsky, T., Faragó, I. & Havasi, Á. (2011). Richardson extrapolated numerical methods for treatment of one-dimensional advection equations. Lecture Notes in Computer Science, 6046 LNCS, 198-206. https://doi.org/10.1007/978-3-642-18466-6_23
Zlatev, Z., Faragó, I. & Havasi, Á. (2012). Richardson Extrapolation combined with the sequential splitting procedure and the θ-method. Central European Journal of Mathematics, 10, 159-172.
Zlatev, Z., Georgiev, K. & Dimov, I. (2013). Influence of climatic changes on pollution levels in the Balkan Peninsula. Computers & Mathematics with Applications, 65, 544-562. https://doi.org/10.1016/j.camwa.2012.07.006
Zlatev, Z., Dimov, I., Farago, I., Georgiev, K., Havasi, A. & Ostromsky, T. (2011). Solving advection equations by applying the crank-nicolson scheme combined with the richardson extrapolation. International Journal of Differential Equations, 2011, Artikel 520840. https://doi.org/10.1155/2011/520840
Zlatev, Z., Dimov, I., Farago, I., Georgiev, K., Havasi, A. & Ostromsky, T. (2013). Application of Richardson extrapolation with the Crank-Nicolson scheme for multi-dimensional advection. I J. Brandts, S. Korotov, M. Krizek, J. Sistek & T. Vejchodsky (red.), Applications of mathematics 2013: In honor of the 70th birthday of Karel Segeth. Proceedings of the International Conference held in Prague, May 15–17, 2013 (s. 248-256). Academy of Sciences of the Czech Republic, Institute of Mathematics, Prague.
Zlatev, Z., Dimov, I., Faragó, I., Georgiev, K., Havasi, Á. & Ostromsky, T. (2014). Application of Richardson extrapolation for multi-dimensional advection equations. Computers & Mathematics with Applications, 67(12), 2279-2293. https://doi.org/10.1016/j.camwa.2014.02.028
Zlatev, Z., Georgiev, K. & Dimov, I. (2014). Stability properties of explicit Runge-Kutta methods combined with Richardson extrapolation. I Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Bind 8353 LNCS, s. 428-435). Springer. https://doi.org/10.1007/978-3-662-43880-0_49
Zlatev, Z., Dimov, I. & Lirkov, I. (2016). Efficient numerical methods for large-scale scientific computations: Introduction. Journal of Computational and Applied Mathematics, 293, 1-6. https://doi.org/10.1016/j.cam.2015.05.001
Zlatev, Z., Dimov, I., Farago, I., Georgiev, K. & Havasi, A. (2017). Stability of the Richardson Extrapolation combined with some implicit Runge-Kutta methods. Journal of Computational and Applied Mathematics, 310, 224-240. https://doi.org/10.1016/j.cam.2016.03.018
Zlatev, Z., Dimov, I., Georgiev, K. & Blaheta, R. (2018). Using advanced mathematical tools in complex studies related to climate changes and high pollution levels. I Large-Scale Scientific Computing - 11th International Conference, LSSC 2017, Revised Selected Papers (s. 552-559). Springer. https://doi.org/10.1007/978-3-319-73441-5_61
Zlatev, Z., D'Ambra, P., Faragó, I., Shaydurov, V. & Vulkov, L. (2020). Advanced numerical methods for complex scientific and engineering problems: Editorial introduction. Journal of Computational and Applied Mathematics, 372, Artikel 112596. https://doi.org/10.1016/j.cam.2019.112596
Zlatev, Z., Dimov, I., Faragó, I., Georgiev, K. & Havasi, Á. (2020). Studying the Influence of Climate Changes on European Ozone Levels. I I. Lirkov & S. Margenov (red.), Large-Scale Scientific Computing (s. 391-399). Springer. https://doi.org/10.1007/978-3-030-41032-2_45
Zlatev, Z., Dimov, I., Farago, I., Georgiev, K. & Havasi, A. (2020). Explicit Runge-Kutta Methods Combined with Advanced Versions of the Richardson Extrapolation. Computational Methods in Applied Mathematics, 20(4), 739-762. https://doi.org/10.1515/cmam-2019-0016
Zlatev, Z., Dimov, I., Farago, I., Georgiev, K. & Havasi, A. (2019). Advanced algorithms for studying the impact of climate changes on ozone levels in the atmosphere. International Journal of Environment and Pollution, 66(1-3), 212-238. https://doi.org/10.1504/IJEP.2019.104522
Zlatev, Z., Dimov, I., Faragó, I., Georgiev, K. & Havasi, Á. (2022). Efficient implementation of advanced Richardson Extrapolation in an atmospheric chemical scheme. Journal of Mathematical Chemistry, 60(1), 219-238. https://doi.org/10.1007/s10910-021-01300-z
Zlatev, Z., Dimov, I., Faragó, I., Georgiev, K. & Havasi, Á. (2022). Running an Atmospheric Chemistry Scheme from a Large Air Pollution Model by Using Advanced Versions of the Richardson Extrapolation. I I. Lirkov & S. Margenov (red.), Large-Scale Scientific Computing - 13th International Conference, LSSC 2021, Revised Selected Papers (s. 188-197). Springer. https://doi.org/10.1007/978-3-030-97549-4_22
Ziv, A., Iakovleva, E., Palmgren, F., Berkowicz, R. & Skov, H. (1998). Comparison of the Path Average (DOAS) and Point Measurements at a Monitoring Station in Copenhagen. Poster-session præsenteret på FECS Conference on Chemistry and the Environment, Copenhagen, Danmark.
Ziv, A., Berkowicz, R., Iakovleva, E., Genikhovich, E. & Palmgren, F. (2002). Emission Factors for Russion Car Fleet Determined from Backward Dispersion Calculations: A Contribution to Subproject SATURN. Poster-session præsenteret på EUROTRAC-2 Symposium 2002, Garmisch-Partenkirchen, Tyskland.
Zito, D. & Lota, J. (2017). Guest Editorial 2017 Special Issue on CASS Regional Flagship Conferences. IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 64(12), 3001-3002. Artikel 8119673. https://doi.org/10.1109/TCSI.2017.2765898
Ziółkowska, E., Bednarska, A., Laskowski, R. & Topping, C. J. (2023). The Formal Model for the solitary bee Osmia bicornis L. agent‑based model. Food and Ecological Systems Modelling Journal, 4, Artikel e102102. https://doi.org/10.3897/fmj.4.102102
Zink, V., Lassen, J. & Stipková, M. (2010). Genetic Parameters of Female Fertility and Udder Conformation Traits in the Czech Holstein Cattle Population. I Abracts (s. 193). Gesellschaft für Tierzuchtwissenschaften e. V..
Zink, V., Lassen, J. & Stipková, M. (2010). Genetic Parameters of Female Fertility and Udder Conformation Traits in the Czech Holstein Cattle Population. Poster-session præsenteret på World Congress on Genetics Applied to Livestock Production, WCGALP, Leipzig, Tyskland.
Zink, V., Lassen, J. & Štipkova, M. (2012). Genetic parameters for female fertility and milk production traits in first-parity Czech Holstein cows. Czech Journal of Animal Science, 57(3), 108-114.
Zingone, A., Harrison, P. J., Kraberg, A. C., Michelson, M. J., Lehtinen, S., McQuatters-Gollop, A., O´Brien, T., Sun, J. & Jakobsen, H. (2015). Increasing the quality, comparability and accessibility of phytoplankton species composition time-series data. Estuarine, Coastal and Shelf Science, 162, 151-160. https://doi.org/10.1016/j.ecss.2015.05.024
Zingel, P., Cremona, F., Noges, T., Cao, Y., Neif, E. M., Coppens, J., Iskin, U., Lauridsen, T. L., Davidson, T. A., Sondergaard, M., Beklioglu, M. & Jeppesen, E. (2018). Effects of warming and nutrients on the microbial food web in shallow lake mesocosms. European Journal of Protistology, 64, 1-12. https://doi.org/10.1016/j.ejop.2018.03.001
Zingel, P., Jeppesen, E., Nõges, T., Hejzlar, J., Tavşanoğlu, Ü. N., Papastergiadou, E., Scharfenberger, U. & Agasild, H. (2023). Changes in nutrient concentration and water level affect the microbial loop: a 6-month mesocosm experiment. Aquatic Ecology, 57(2), 369-381. https://doi.org/10.1007/s10452-023-10015-z
Zingel, P., Boveri, M., Agasild, H. & Jeppesen, E. (2025). Preface: Secrets of shallow lakes—insights from research. Hydrobiologia, 852(2), 283-288. https://doi.org/10.1007/s10750-024-05741-w
Zimnoch-Guzowska, E., Colon, L. T., Nielsen, B. J., Darsow, U., Hansen, J. G. & Lees, A. K. (2005). The EUCABLIGHT late blight resistance database. I 16th Triennial Conference of the EAPR (s. 220-222)