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Journal Articles
- 2024
[j8]Venelin Todorov
, Ivan Dimov:
Cutting-Edge Monte Carlo Framework: Novel "Walk on Equations" Algorithm for Linear Algebraic Systems. Axioms 13(1): 53 (2024)- 2023
- [j7]Ivan Dimov, Venelin Todorov, Slavi G. Georgiev:
A Super-Convergent Stochastic Method Based on the Sobol Sequence for Multidimensional Sensitivity Analysis in Environmental Protection. Axioms 12(2): 146 (2023) - 2022
- [j6]Ivan Dimov, Venelin Todorov, Karl Sabelfeld:
A study of highly efficient stochastic sequences for multidimensional sensitivity analysis. Monte Carlo Methods Appl. 28(1): 1-12 (2022) - [j5]Ivan Dimov, Sylvain Maire, Venelin Todorov:
An unbiased Monte Carlo method to solve linear Volterra equations of the second kind. Neural Comput. Appl. 34(2): 1527-1540 (2022) - 2021
- [j4]Karl K. Sabelfeld, Dmitry Smirnov, Ivan Dimov, Venelin Todorov:
A global random walk on grid algorithm for second order elliptic equations. Monte Carlo Methods Appl. 27(4): 325-339 (2021) - [j3]Venelin Todorov, Ivan Dimov, Tzvetan Ostromsky, Stoyan Apostolov, Rayna Georgieva, Yuri Dimitrov, Zahari Zlatev:
Advanced stochastic approaches for Sobol' sensitivity indices evaluation. Neural Comput. Appl. 33(6): 1999-2014 (2021) - 2020
- [j2]Venelin Todorov, Juri D. Kandilarov, Ivan Dimov, Lubin G. Vulkov:
High-accuracy numerical methods for a parabolic system in air pollution modeling. Neural Comput. Appl. 32(10): 6025-6040 (2020) - [j1]Venelin Todorov, Ivan Dimov, Rayna Georgieva, Stoyan Dimitrov:
Adaptive Monte Carlo algorithm for Wigner kernel evaluation. Neural Comput. Appl. 32(14): 9953-9964 (2020)
Conference and Workshop Papers
- 2023
- [c58]Tzvetan Ostromsky, Ivan Dimov, Rayna Georgieva, Venelin Todorov:
Sensitivity Study of a Large-scale Air Pollution Model on the Bulgarian Petascale Supercomputer Discoverer. FedCSIS 2023: 1093-1100 - [c57]Venelin Todorov, Slavi G. Georgiev, Ivan Dimov, Tzvetan Ostromsky:
A Stochastic Optimization Technique for UNI-DEM framework. FedCSIS 2023: 1167-1172 - [c56]Venelin Todorov, Slavi G. Georgiev, Stoyan Apostolov, Ivan Tomov Dimov:
An Improved Algorithm for Fredholm Integral Equations. LSSC 2023: 262-270 - [c55]Venelin Todorov, Slavi G. Georgiev, Borislav Chakarov, Svetoslav Hadzhiivanov:
Optimization of the Standard Lattice Sequence for Multidimensional Integrals Regarding Large-Scale Finance Problems. LSSC 2023: 271-278 - [c54]Venelin Todorov, Slavi G. Georgiev, Ivan Tomov Dimov, Rayna Georgieva, Tzvetan Ostromsky:
Improved Stochastic Lattice Methods for Large-Scale Air Pollution Model. LSSC 2023: 363-371 - 2022
- [c53]Venelin Todorov, Slavi G. Georgiev:
An Optimization Technique for Estimating Sobol Sensitivity Indices. FedCSIS (Communication Papers) 2022: 93-96 - [c52]Venelin Todorov, Slavi G. Georgiev:
A Stochastic Optimization Method for European Option Pricing. FedCSIS (Communication Papers) 2022: 97-100 - [c51]Venelin Todorov, Ivan Dimov, Stefka Fidanova, Rayna Georgieva, Tzvetan Ostromsky, Stoyan Poryazov:
An Optimized Monte Carlo Approach for Multidimensional Integrals Related to Intelligent Systems. FedCSIS (Communication Papers) 2022: 101-104 - [c50]Yuri Dimitrov, Venelin Todorov, Radan Miryanov, Stefka Fidanova, Jan Rusinek:
Generating Functions and Approximations of the Caputo Fractional Derivative. ICACIS 2022: 48-66 - [c49]Venelin Todorov, Slavi G. Georgiev:
Innovative Lattice Sequences Based on Component by Component Construction Method for Multidimensional Sensitivity Analysis. MDIS 2022: 247-263 - [c48]Venelin Todorov, Slavi G. Georgiev:
On an Optimization of the Lattice Sequence for the Multidimensional Integrals Connected with Bayesian Statistics. MDIS 2022: 264-275 - [c47]Tzvetan Ostromsky, Venelin Todorov, Ivan Dimov, Rayna Georgieva:
Sensitivity Analysis of an Air Pollution Model with Using Innovative Monte Carlo Methods in Calculating Multidimensional Integrals. NMA 2022: 258-270 - [c46]Venelin Todorov, Ivan Dimov, Rayna Georgieva, Tzvetan Ostromsky:
Optimized Stochastic Approaches Based on Sobol Quasirandom Sequences for Fredholm Integral Equations of the Second Kind. NMA 2022: 302-313 - [c45]Venelin Todorov, Ivan Dimov, Maria Ganzha, Marcin Paprzycki:
Advanced Stochastic Approaches for Applied Computing in Environmental Modeling. PPAM (1) 2022: 55-67 - [c44]Venelin Todorov, Slavi G. Georgiev:
On a Full Stochastic Optimization Approach for European Option Pricing. WCO 2022: 227-242 - [c43]Venelin Todorov, Slavi G. Georgiev, Ivan T. Dimov:
Advanced Methods and Algorithms to Study the High Pollutant Concentrations in Europe. WCO 2022: 243-277 - [c42]Venelin Todorov, Slavi G. Georgiev:
Advanced Stochastic Sequences for Multidimensional Integrals Used in Neural Networks. WCO 2022: 278-288 - 2021
- [c41]Krasimir Kishkin, Dimitar D. Arnaudov, Venelin Todorov, Stefka Fidanova:
Multicriterial evaluation and optimization of an algorithm for charging energy storage elements. FedCSIS (Position Papers) 2021: 61-63 - [c40]Venelin Todorov, Ivan Dimov, Stefka Fidanova, Stoyan Poryazov:
Optimized lattice rule and adaptive approach for multidimensional integrals with applications. FedCSIS (Position Papers) 2021: 75-80 - [c39]Daniel Todorov, Venelin Todorov, Stefka Fidanova:
Optimized Nano Grid Approach for Small Critical Loads. FedCSIS (Position Papers) 2021: 81-84 - [c38]Venelin Todorov, Tzvetan Ostromsky, Ivan Dimov, Rayna Georgieva:
Optimized stochastic methods for sensitivity analysis for large-scale air pollution model. FedCSIS (Position Papers) 2021: 85-88 - [c37]Miroslav Stoenchev, Venelin Todorov:
Combinatorial etude. FedCSIS 2021: 231-234 - [c36]Venelin Todorov, Stefka Fidanova, Ivan Dimov, Stoyan Poryazov:
An Optimized Technique for Wigner Kernel Estimation. FedCSIS 2021: 235-238 - [c35]Venelin Todorov, Ivan Dimov, Stefka Fidanova, Rayna Georgieva:
Optimized stochastic approach for integral equations. FedCSIS 2021: 239-242 - [c34]Venelin Todorov, Ivan Dimov, Stefka Fidanova:
Optimized Method based on Lattice Sequences for Multidimensional Integrals in Neural Networks. FedCSIS 2021: 243-246 - [c33]Venelin Todorov, Ivan Dimov, Stefka Fidanova, Stoyan Apostolov:
An Optimized Stochastic Techniques related to Option Pricing. FedCSIS 2021: 247-250 - [c32]Venelin Todorov, Ivan Dimov, Stoyan Apostolov, Stoyan Poryazov:
Highly Efficient Stochastic Approaches for Computation of Multiple Integrals for European Options. ICICT (2) 2021: 1-9 - [c31]Stoyan Apostolov, Yuri Dimitrov, Venelin Todorov:
Constructions of Second Order Approximations of the Caputo Fractional Derivative. LSSC 2021: 31-39 - [c30]Tzvetan Ostromsky, Venelin Todorov, Ivan Dimov, Rayna Georgieva, Zahari Zlatev, Stoyan Poryazov:
Sensitivity Study of Large-Scale Air Pollution Model Based on Modifications of the Latin Hypercube Sampling Method. LSSC 2021: 156-163 - [c29]Venelin Todorov, Ivan Dimov, Rayna Georgieva, Tzvetan Ostromsky, Zahari Zlatev, Stoyan Poryazov:
Multidimensional Sensitivity Analysis of an Air Pollution Model Based on Modifications of the van der Corput Sequence. LSSC 2021: 180-187 - [c28]Venelin Todorov, Ivan Dimov, Rayna Georgieva, Stoyan Apostolov, Stoyan Poryazov:
Advanced Stochastic Approaches Based on Optimization of Lattice Sequences for Large-Scale Finance Problems. LSSC 2021: 257-265 - 2020
- [c27]Tsvetomir Gotsov, Venelin Todorov, Tsvetelin Kolev:
Energetic Optimization of the Use of Battery Shunting Locomotive in Industrial Plant with Regenerative Brake. FedCSIS (Communication Papers) 2020: 3-6 - [c26]Venelin Todorov, Yuri Dimitrov, Radan Miryanov, Ivan Dimov, Stefka Fidanova, Stoyan Poryazov:
An Optimization on Quadrature Formulas and Numerical Solutions of Ordinary Differential Equations. FedCSIS (Communication Papers) 2020: 13-16 - [c25]Venelin Todorov, Ivan Dimov, Stoyan Apostolov, Stefka Fidanova, Stoyan Poryazov, Yuri Dimitrov:
An Optimal Monte Carlo Algorithm for a Class of Multidimensional Integrals. FedCSIS (Communication Papers) 2020: 17-20 - [c24]Venelin Todorov, Ivan Dimov, Stefka Fidanova, Stoyan Poryazov:
A New Optimized Stochastic Approach for Multiple Integrals in Option Pricing. FedCSIS (Communication Papers) 2020: 21-24 - [c23]Venelin Todorov, Tzvetan Ostromsky, Ivan Dimov, Stefka Fidanova:
Optimized Quasi-Monte Carlo Method Based on Low Discrepancy Sequences for Sensitivity Analysis in Air Pollution Modelling. FedCSIS (Communication Papers) 2020: 25-28 - [c22]Venelin Todorov, Tzvetan Ostromsky, Ivan Dimov, Stefka Fidanova:
Sensitivity Study of a Large-Scale Air Pollution Model by Using Optimized Stochastic Algorithm. FedCSIS (Communication Papers) 2020: 29-32 - [c21]Venelin Todorov, Stoyan Apostolov, Ivan Dimov, Stefka Fidanova:
A New Optimized Stochastic Approach for Multidimensional Integrals in Machine Learning. FedCSIS 2020: 337-340 - [c20]Venelin Todorov, Stefka Fidanova, Ivan Dimov, Stoyan Poryazov:
A New Optimized Adaptive Approach for Estimation of the Wigner Kernel. FedCSIS 2020: 341-344 - [c19]Venelin Todorov, Ivan Dimov, Tzvetan Ostromsky, Zahari Zlatev, Rayna Georgieva, Stoyan Poryazov:
Sensitivity Study of a Large-Scale Air Pollution Model by Using Optimized Latin Hyprecube Sampling. WCO@FedCSIS 2020: 371-387 - [c18]Venelin Todorov, Ivan Dimov, Tzvetan Ostromsky, Zahari Zlatev, Rayna Georgieva, Stoyan Poryazov:
Optimized Quasi-Monte Carlo Methods Based on Van der Corput Sequence for Sensitivity Analysis in Air Pollution Modelling. WCO@FedCSIS 2020: 389-405 - [c17]Venelin Todorov:
Advanced Stochastic Approaches Based on Lattice Rules for Multiple Integrals in Option Pricing. WCO@FedCSIS 2020: 407-423 - [c16]Venelin Todorov, Stefka Fidanova, Ivan Dimov, Stoyan Poryazov, Stoyan Apostolov, Daniel Todorov:
Advanced Stochastic Approaches for Multidimensional Integrals in Neural Networks. WCO@FedCSIS 2020: 425-438 - [c15]Venelin Todorov, Ivan Dimov, Stoyan Poryazov:
Improved Stochastic Approaches for Evaluation of the Wigner Kernel. WCO@FedCSIS 2020: 439-450 - [c14]Venelin Todorov, Stoyan Apostolov, Ivan Dimov, Yuri Dimitrov, Stoyan Poryazov, Daniel Todorov:
A Numerical Study on Optimal Monte Carlo Algorithm for Multidimensional Integrals. WCO@FedCSIS 2020: 451-461 - [c13]Venelin Todorov, Yuri Dimitrov, Radan Miryanov, Ivan Dimov, Stoyan Poryazov:
Expansions on Quadrature Formulas and Numerical Solutions of Ordinary Differential Equations. WCO@FedCSIS 2020: 463-475 - [c12]Tsvetomir Gotsov, Venelin Todorov:
Research of the Use of Battery Shunting Locomotive with Regenerative Brake. WCO@FedCSIS 2020: 477-487 - 2019
- [c11]Venelin Todorov, Ivan Dimov, Tzvetan Ostromsky, Zahari Zlatev:
Advanced Quasi-Monte Carlo Algorithms for Multidimensional Integrals in Air Pollution Modelling. HPC 2019: 155-167 - [c10]Tzvetan Ostromsky, Venelin Todorov, Ivan Dimov, Zahari Zlatev:
Sensitivity Studies of an Air Pollution Model by Using Efficient Stochastic Algorithms for Multidimensional Numerical Integration. HPC 2019: 184-195 - [c9]Venelin Todorov, Yuri Dimitrov, Ivan Dimov:
Second Order Shifted Approximations for the First Derivative. HPC 2019: 428-437 - [c8]Tzvetan Ostromsky, Venelin Todorov, Ivan Dimov, Zahari Zlatev:
Efficient Stochastic Algorithms for the Sensitivity Analysis Problem in the Air Pollution Modelling. LSSC 2019: 420-428 - [c7]Venelin Todorov, Ivan Dimov:
Efficient Stochastic Approaches for Multidimensional Integrals in Bayesian Statistics. LSSC 2019: 454-462 - 2018
- [c6]Venelin Todorov, Nikolay Ikonomov, Ivan Dimov, Rayna Georgieva:
A New Monte Carlo Algorithm for Linear Algebraic Systems Based on the "Walk on Equations" Algorithm. FedCSIS 2018: 257-260 - [c5]Tzvetan Ostromsky, Ivan Dimov, Venelin Todorov, Zahari Zlatev:
Sensitivity Analysis of an Air Pollution Model by Using Quasi-Monte Carlo Algorithms for Multidimensional Numerical Integration. NMA 2018: 281-289 - [c4]Ivan Dimov, Juri D. Kandilarov, Venelin Todorov, Lubin G. Vulkov:
Numerical Analysis of a Pollution and Environment Interaction Model. NMA 2018: 383-391 - 2017
- [c3]Ivan Dimov, Juri D. Kandilarov, Venelin Todorov, Lubin G. Vulkov:
Time Discretization/Linearization Approach Based on HOC Difference Schemes for Semilinear Parabolic Systems of Atmosphere Modelling. LSSC 2017: 450-457 - 2016
- [c2]Stoyan Dimitrov, Ivan Dimov, Venelin Todorov:
Latin Hypercube Sampling and Fibonacci Based Lattice Method Comparison for Computation of Multidimensional Integrals. NAA 2016: 302-310 - 2014
- [c1]Ivan Dimov, Rayna Georgieva, Venelin Todorov:
Balancing of Systematic and Stochastic Errors in Monte Carlo Algorithms for Integral Equations. NMA 2014: 44-51
Coauthor Index
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