| Advanced stochastic approaches for Sobol’sensitivity indices evaluation V Todorov, I Dimov, T Ostromsky, S Apostolov, R Georgieva, Y Dimitrov, ... Neural Computing and Applications 33, 1999-2014, 2021 | 31 | 2021 |
| Innovative digital stochastic methods for multidimensional sensitivity analysis in air pollution modelling V Todorov, I Dimov Mathematics 10 (12), 2146, 2022 | 20 | 2022 |
| Efficient stochastic approaches for multidimensional integrals in bayesian statistics V Todorov, I Dimov Large-Scale Scientific Computing: 12th International Conference, LSSC 2019 …, 2020 | 15 | 2020 |
| Intuitionistic fuzzy conjunctions and disjunctions from second type N Angelova, M Stoenchev, V Todorov Issues Intuit. Fuzzy Sets Gen. Nets 13, 143-170, 2017 | 15 | 2017 |
| Balancing of systematic and stochastic errors in Monte Carlo algorithms for integral equations I Dimov, R Georgieva, V Todorov International Conference on Numerical Methods and Applications, 44-51, 2014 | 15 | 2014 |
| Asymptotic expansions and approximations for the Caputo derivative Y Dimitrov, R Miryanov, V Todorov Computational and Applied Mathematics 37, 5476-5499, 2018 | 14 | 2018 |
| Unveiling the power of stochastic methods: Advancements in air pollution sensitivity analysis of the digital twin V Todorov, I Dimov Atmosphere 14 (7), 1078, 2023 | 12 | 2023 |
| A study of highly efficient stochastic sequences for multidimensional sensitivity analysis I Dimov, V Todorov, K Sabelfeld Monte Carlo Methods and Applications 28 (1), 1-12, 2022 | 12 | 2022 |
| Optimized Quasi-Monte Carlo methods based on Van der Corput sequence for sensitivity analysis in air pollution modelling V Todorov, I Dimov, T Ostromsky, Z Zlatev, R Georgieva, S Poryazov Recent Advances in Computational Optimization: Results of the Workshop on …, 2022 | 12 | 2022 |
| Monte Carlo methods for multidimensional integration for European option pricing V Todorov, IT Dimov AIP Conference Proceedings 1773 (1), 2016 | 12 | 2016 |
| An unbiased Monte Carlo method to solve linear Volterra equations of the second kind I Dimov, S Maire, V Todorov Neural Computing and Applications, 1-14, 2022 | 11 | 2022 |
| Approximation of Caputo Fractional Derivative and Numerical Solutions of Fractional Differential Equations Y Dimitrov, S Georgiev, V Todorov Fractal and Fractional 7 (10), 750, 2023 | 9 | 2023 |
| Error Analysis of Biased stochastic algorithms for the second kind Fredholm integral equation I Dimov, V Todorov Innovative approaches and solutions in advanced intelligent systems, 3-16, 2016 | 8 | 2016 |
| Second order shifted approximations for the first derivative V Todorov, Y Dimitrov, I Dimov International conference on Variability of the Sun and sun-like stars: from …, 2019 | 7 | 2019 |
| Efficient quasi-Monte Carlo methods for multiple integrals in option pricing V Todorov, I Dimov, Y Dimitrov AIP Conference Proceedings 2025 (1), 2018 | 7 | 2018 |
| Quadrature formulas and Taylor series of secant and tangent Y Dimitrov, R Miryanov, V Todorov Economics and computer science 4, 23-40, 2017 | 7 | 2017 |
| Approximations for the Caputo derivative (II) Y Dimitrov, V Todorov, R Miryanov arXiv preprint arXiv:1604.07188, 2016 | 6 | 2016 |
| A Super-Convergent Stochastic Method Based on the Sobol Sequence for Multidimensional Sensitivity Analysis in Environmental Protection I Dimov, V Todorov, S Georgiev Axioms 12 (2), 146, 2023 | 5 | 2023 |
| Adaptive Monte Carlo algorithm for Wigner kernel evaluation V Todorov, I Dimov, R Georgieva, S Dimitrov Neural Computing and Applications 32 (14), 9953-9964, 2020 | 5 | 2020 |
| Numerical solutions of ordinary fractional differential equations with singularities Y Dimitrov, I Dimov, V Todorov Advanced Computing in Industrial Mathematics: 12th Annual Meeting of the …, 2019 | 5 | 2019 |
yuri dimitrovUniversity of ForestryDirección de correo verificada de ltu.bg
