Items where Author is "Georgiev, Krassimir"
Group by: Item Type | No Grouping Number of items: 6. Zlatev, Zahari and Dimov, Ivan and Faragó, István and Georgiev, Krassimir and Havasi, Ágnes (2020) Large-Scale Air Pollution Modeling in Europe Under Different Climatic Scenarios. International Journal of Big Data Mining for Global Warming, 1 (2). ISSN 2630-5348 Zlatev, Zahari and Dimov, Ivan and Faragó, István and Georgiev, Krassimir and Havasi, Ágnes (2020) Studying the Influence of Climate Changes on European Ozone Levels. In: Large-Scale Scientific Computing. Springer International Publishing, Cham, pp. 391-399. ISBN 9783030410322; 9783030410315 Zlatev, Zahari and Dimov, Ivan and Faragó, István and Georgiev, Krassimir and Havasi, Ágnes (2019) Absolute stability and implementation of the two-times repeated Richardson extrapolation together with explicit Runge-Kutta methods. In: Finite Difference Methods : Theory and Applications. Lecture Notes in Computer Science; Theoretical Computer Science and General Issues (11386). Springer Nature Switzerland AG, Cham, pp. 678-686. ISBN 978-3-030-11538-8 (print); 978-3-030-11539-5 (online) Zlatev, Zahari and Dimov, Ivan and Faragó, István and Georgiev, Krassimir and Havasi, Ágnes (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). pp. 212-238. ISSN 0957-4352 Zlatev, Zahari and Dimov, Ivan and Faragó, István and Georgiev, Krassimir and Havasi, Ágnes (2019) Explicit Runge–Kutta Methods Combined with Advanced Versions of the Richardson Extrapolation. COMPUTATIONAL METHODS IN APPLIED MATHEMATICS. pp. 1-24. ISSN 1609-4840 (print); 1609-9389 (online) Zlatev, Zahari and Dimov, Ivan and Faragó, István and Georgiev, Krassimir and Havasi, Ágnes (2019) Stability properties of repeated Richardson extrapolation applied together with some implicit Runge-Kutta methods. In: Finite Difference Methods : Theory and Applications. Lecture Notes in Computer Science; Theoretical Computer Science and General Issues (11386). Springer Nature Switzerland AG, Cham, pp. 114-125. ISBN 978-3-030-11538-8 (print); 978-3-030-11539-5 (online) |