Venelin Todorov

发表

Balancing of Systematic and Stochastic Errors in Monte Carlo Algorithms for Integral Equations

Rayna Georgieva, Ivan Tomov Dimov, Venelin Todorov, 2014, NMA.

An Optimal Monte Carlo Algorithm for a Class of Multidimensional Integrals

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

Second Order Shifted Approximations for the First Derivative

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

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

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

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.

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

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

Sensitivity Study of a Large-Scale Air Pollution Model by Using Optimized Stochastic Algorithm

Stefka Fidanova, Tzvetan Ostromsky, Ivan Tomov Dimov, 2020, FedCSIS.

A New Optimized Adaptive Approach for Estimation of the Wigner Kernel

Stefka Fidanova, Ivan Tomov Dimov, Venelin Todorov, 2020, 2020 15th Conference on Computer Science and Information Systems (FedCSIS).

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

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

Time Discretization/Linearization Approach Based on HOC Difference Schemes for Semilinear Parabolic Systems of Atmosphere Modelling

Lubin G. Vulkov, Ivan Tomov Dimov, Venelin Todorov, 2017, LSSC.

Sensitivity Analysis of an Air Pollution Model by Using Quasi-Monte Carlo Algorithms for Multidimensional Numerical Integration

Zahari Zlatev, Tzvetan Ostromsky, Ivan Tomov Dimov, 2018, NMA.

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

Rayna Georgieva, Venelin Todorov, Ivan Dimov, 2017 .

Efficient Stochastic Approaches for Multidimensional Integrals in Bayesian Statistics

Ivan Tomov Dimov, Venelin Todorov, 2019, LSSC.

Optimized Quasi-Monte Carlo Method Based on Low Discrepancy Sequences for Sensitivity Analysis in Air Pollution Modelling

Stefka Fidanova, Tzvetan Ostromsky, Ivan Tomov Dimov, 2020, FedCSIS.

A comparison of quasi-Monte Carlo methods based on Faure and Sobol sequences for multidimensional integrals in air pollution modeling

Rayna Georgieva, Venelin Todorov, Tz. Ostromsky, 2019 .

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

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

Advanced stochastic approaches for Sobol’ sensitivity indices evaluation

Zahari Zlatev, Rayna Georgieva, Tzvetan Ostromsky, 2020, Neural Computing and Applications.

A New Optimized Stochastic Approach for Multiple Integrals in Option Pricing

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

A New Optimized Stochastic Approach for Multidimensional Integrals in Machine Learning

Stefka Fidanova, Ivan Tomov Dimov, Venelin Todorov, 2020, 2020 15th Conference on Computer Science and Information Systems (FedCSIS).

Efficient Stochastic Algorithms for the Sensitivity Analysis Problem in the Air Pollution Modelling

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

Advanced Quasi-Monte Carlo Algorithms for Multidimensional Integrals in Air Pollution Modelling

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

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).

Numerical Analysis of a Pollution and Environment Interaction Model

Lubin G. Vulkov, Ivan Tomov Dimov, Venelin Todorov, 2018, NMA.

Combinatorial etude

Venelin Todorov, Miroslav Stoenchev, 2021, 2021 16th Conference on Computer Science and Intelligence Systems (FedCSIS).

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

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

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

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

Optimized Nano Grid Approach for Small Critical Loads

Stefka Fidanova, Venelin Todorov, Daniel Todorov, 2021, FedCSIS.

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

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

Optimized lattice rule and adaptive approach for multidimensional integrals with applications

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

An Optimized Stochastic Techniques related to Option Pricing

Stefka Fidanova, Venelin Todorov, Ivan Dimov, 2021, 2021 16th Conference on Computer Science and Intelligence Systems (FedCSIS).

On the classical diophantine equation x4 + y4 + kx2y2 = z2

Venelin Todorov, Miroslav Stoenchev, 2021 .

An Optimized Technique for Wigner Kernel Estimation

Stefka Fidanova, Ivan Tomov Dimov, Venelin Todorov, 2021, 2021 16th Conference on Computer Science and Intelligence Systems (FedCSIS).

Optimized stochastic approach for integral equations

Rayna Georgieva, Stefka Fidanova, Ivan Tomov Dimov, 2021, 2021 16th Conference on Computer Science and Intelligence Systems (FedCSIS).

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

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

Optimized Method based on Lattice Sequences for Multidimensional Integrals in Neural Networks

Stefka Fidanova, Venelin Todorov, Ivan Dimov, 2021, 2021 16th Conference on Computer Science and Intelligence Systems (FedCSIS).

Multicriterial evaluation and optimization of an algorithm for charging energy storage elements

Stefka Fidanova, Venelin Todorov, Dimitar Arnaudov, 2021, FedCSIS.

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.

Asymptotic expansions and approximations for the Caputo derivative

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

Quadrature formulas and taylor series of secant and tangent

Venelin Todorov, Yuri Dimitrov, Radan Miryanov, 2017 .

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

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

High-order compact difference schemes with Richardson extrapolation for semilinear parabolic systems

Lubin G. Vulkov, Venelin Todorov, Ivan Dimov, 2016 .

Approximations for the Caputo derivative (II)

Venelin Todorov, Yuri Dimitrov, Radan Miryanov, 2016 .