V. Todorov

发表

A comparison of advanced quasi Monte Carlo methods for multidimensional integrals in air pollution modeling

Tzvetan Ostromsky, I. Dimov, V. Todorov, 2020 .

Monte Carlo methods for sensitivity studies of large-scale air pollution model

Tzvetan Ostromsky, I. Dimov, V. Todorov, 2020 .

Adaptive Monte Carlo algorithm for Wigner kernel evaluation

I. Dimov, I. Dimov, R. Georgieva, 2019, Neural Computing and Applications.

Monte Carlo methods for multidimensional integration for European option pricing

I. Dimov, V. Todorov, 2016 .

Improved Stochastic Approaches for Evaluation of the Wigner Kernel

I. Dimov, V. Todorov, S. Poryazov, 2021, Recent Advances in Computational Optimization.

Numerical determination of the right-hand side of parabolic systems with point measurements

I. Dimov, V. Todorov, J. Kandilarov, 2017 .

A Comparison Study of Two High Accuracy Numerical Methods for a Parabolic System in Air Pollution Modelling

Venelin Todorov, Ivan Dimov, Juri Kandilarov, 2017, 1701.03049.

Innovative Digital Stochastic Methods for Multidimensional Sensitivity Analysis in Air Pollution Modelling

V. Todorov, I. Dimov, 2022, Mathematics.

N A ] 2 6 A ug 2 01 8 APPROXIMATIONS FOR THE CAPUTO DERIVATIVE ( II )

V. Todorov, Yuri M. Dimitrov, Radan Miryanov, 2018 .

Numerical Solutions of Ordinary Fractional Differential Equations with Singularities

I. Dimov, V. Todorov, Yuri M. Dimitrov, 2017, Advanced Computing in Industrial Mathematics.

A Stochastic Optimization Method for European Option Pricing

V. Todorov, S. Georgiev, 2022, FedCSIS.

An Optimization Technique for Estimating Sobol Sensitivity Indices

V. Todorov, S. Georgiev, 2022, FedCSIS.

Multidimensional sensitivity study of large-scale air pollution model based on optimal stochastic approaches

V. Todorov, 2022, AIP Conference Proceedings.

Optimized lattice rule and adaptive approach for multidimensional integrals with applications

Stefka Fidanova, Ivan Tomov Dimov, Venelin Todorov, 2021, FedCSIS.

A New Optimized Stochastic Approach for Multiple Integrals in Option Pricing

Stefka Fidanova, Ivan Tomov Dimov, Venelin Todorov, 2020, FedCSIS.

An Optimization on Quadrature Formulas and Numerical Solutions of Ordinary Differential Equations

Stefka Fidanova, Ivan Tomov Dimov, Venelin Todorov, 2020, FedCSIS.

An Optimized Monte Carlo Approach for Multidimensional Integrals Related to Intelligent Systems

Tzvetan Ostromsky, I. Dimov, R. Georgieva, 2022, FedCSIS.

Advanced stochastic approaches for Sobol’ sensitivity indices evaluation

Z. Zlatev, Tzvetan Ostromsky, I. Dimov, 2020, Neural Computing and Applications.

Efficient Monte Carlo Methods for Multidimensional Modeling of Slot Machines Jackpot

V. Todorov, S. Georgiev, 2023, Mathematics.

A New Monte Carlo Algorithm for Linear Algebraic Systems Based on the “Walk on Equations” Algorithm

Rayna Georgieva, Ivan Tomov Dimov, Venelin Todorov, 2018, 2018 Federated Conference on Computer Science and Information Systems (FedCSIS).

A Numerical Study on Optimal Monte Carlo Algorithm for Multidimensional Integrals

I. Dimov, V. Todorov, Yuri M. Dimitrov, 2021, WCO@FedCSIS.

Latin Hypercube Sampling and Fibonacci Based Lattice Method Comparison for Computation of Multidimensional Integrals

Ivan Tomov Dimov, Venelin Todorov, Stoyan Dimitrov, 2016, NAA.

A Super-Convergent Stochastic Method Based on the Sobol Sequence for Multidimensional Sensitivity Analysis in Environmental Protection

I. Dimov, V. Todorov, S. Georgiev, 2023, Axioms.

An unbiased Monte Carlo method to solve linear Volterra equations of the second kind

Venelin Todorov, Sylvain Maire, Ivan Dimov, 2021, Neural Comput. Appl..

Second Order Shifted Approximations for the First Derivative

Ivan Tomov Dimov, Venelin Todorov, Yuri Dimitrov, 2019, HPC.

Quadrature formulas and taylor series of secant and tangent

Venelin Todorov, Yuri Dimitrov, Radan Miryanov, 2017 .

Asymptotic expansions and approximations for the Caputo derivative

Venelin Todorov, Yuri Dimitrov, Radan Miryanov, 2018, Computational and Applied Mathematics.

An Improved “Walk on Equations” Monte Carlo Algorithm for Linear Algebraic Systems

I. Dimov, R. Georgieva, V. Todorov, 2019, Recent Advances in Computational Optimization.

Highly Efficient Stochastic Approaches for Computation of Multiple Integrals for European Options

Ivan Tomov Dimov, Venelin Todorov, Stoyan Poryazov, 2021, ICICT.

Efficient quasi-Monte Carlo methods for multiple integrals in option pricing

Venelin Todorov, Ivan Dimov, I. Dimov, 2018 .

High-accuracy numerical methods for a parabolic system in air pollution modeling

Venelin Todorov, Ivan Dimov, Juri Kandilarov, 2019, Neural Computing and Applications.

Optimized stochastic methods for sensitivity analysis for large-scale air pollution model

Rayna Georgieva, Tzvetan Ostromsky, Ivan Tomov Dimov, 2021, FedCSIS.

Sensitivity Studies of an Air Pollution Model by Using Efficient Stochastic Algorithms for Multidimensional Numerical Integration

Zahari Zlatev, Tzvetan Ostromsky, Ivan Tomov Dimov, 2019, HPC.

Efficient stochastic approaches for sensitivity studies of an Eulerian large-scale air pollution model

Rayna Georgieva, Venelin Todorov, Ivan Dimov, 2017 .

A global random walk on grid algorithm for second order elliptic equations

Venelin Todorov, Ivan Dimov, Karl K. Sabelfeld, 2021, Monte Carlo Methods Appl..

An unbiased Monte Carlo method to solve linear Volterra equations of the second kind

S. Maire, I. Dimov, V. Todorov, 2021, Neural Computing and Applications.

Optimized Quasi-Monte Carlo Methods Based on Van der Corput Sequence for Sensitivity Analysis in Air Pollution Modelling

Z. Zlatev, Tzvetan Ostromsky, I. Dimov, 2021, WCO@FedCSIS.

Research of the Use of Battery Shunting Locomotive with Regenerative Brake

V. Todorov, Tsvetomir Gotsov, 2021, WCO@FedCSIS.

Energetic Optimization of the Use of Battery Shunting Locomotive in Industrial Plant with Regenerative Brake

Venelin Todorov, Tsvetomir Gotsov, Tsvetelin Kolev, 2020, FedCSIS.

Expansions on Quadrature Formulas and Numerical Solutions of Ordinary Differential Equations

I. Dimov, V. Todorov, Yuri M. Dimitrov, 2021, WCO@FedCSIS.