Venelin Todorov

According to our database, Venelin Todorov authored at least 66 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Cutting-Edge Monte Carlo Framework: Novel "Walk on Equations" Algorithm for Linear Algebraic Systems.

Venelin Todorov, Ivan Dimov

Axioms, January, 2024

2023

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

Ivan Dimov, Venelin Todorov, Slavi G. Georgiev

Axioms, February, 2023

Improved Stochastic Lattice Methods for Large-Scale Air Pollution Model.

Venelin Todorov, Slavi G. Georgiev, Ivan Tomov Dimov, Rayna Georgieva, Tzvetan Ostromsky

Proceedings of the Large-Scale Scientific Computations - 14th International Conference, 2023

Optimization of the Standard Lattice Sequence for Multidimensional Integrals Regarding Large-Scale Finance Problems.

Venelin Todorov, Slavi G. Georgiev, Borislav Chakarov, Svetoslav Hadzhiivanov

Proceedings of the Large-Scale Scientific Computations - 14th International Conference, 2023

An Improved Algorithm for Fredholm Integral Equations.

Venelin Todorov, Slavi G. Georgiev, Stoyan Apostolov, Ivan Tomov Dimov

Proceedings of the Large-Scale Scientific Computations - 14th International Conference, 2023

A Stochastic Optimization Technique for UNI-DEM framework.

Venelin Todorov, Slavi G. Georgiev, Ivan Dimov, Tzvetan Ostromsky

Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

Sensitivity Study of a Large-scale Air Pollution Model on the Bulgarian Petascale Supercomputer Discoverer.

Tzvetan Ostromsky, Ivan Dimov, Rayna Georgieva, Venelin Todorov

Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

2022

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

Ivan Dimov, Sylvain Maire, Venelin Todorov

Neural Comput. Appl., 2022

A study of highly efficient stochastic sequences for multidimensional sensitivity analysis.

Ivan Dimov, Venelin Todorov, Karl Sabelfeld

Monte Carlo Methods Appl., 2022

Advanced Methods and Algorithms to Study the High Pollutant Concentrations in Europe.

Venelin Todorov, Slavi G. Georgiev, Ivan T. Dimov

Proceedings of the Recent Advances in Computational Optimization - Selected Papers from the WCO 2022, 2022

Advanced Stochastic Sequences for Multidimensional Integrals Used in Neural Networks.

Venelin Todorov, Slavi G. Georgiev

Proceedings of the Recent Advances in Computational Optimization - Selected Papers from the WCO 2022, 2022

On a Full Stochastic Optimization Approach for European Option Pricing.

Venelin Todorov, Slavi G. Georgiev

Proceedings of the Recent Advances in Computational Optimization - Selected Papers from the WCO 2022, 2022

Advanced Stochastic Approaches for Applied Computing in Environmental Modeling.

Venelin Todorov, Ivan Dimov, Maria Ganzha, Marcin Paprzycki

Proceedings of the Parallel Processing and Applied Mathematics, 2022

Optimized Stochastic Approaches Based on Sobol Quasirandom Sequences for Fredholm Integral Equations of the Second Kind.

Venelin Todorov, Ivan Dimov, Rayna Georgieva, Tzvetan Ostromsky

Proceedings of the Numerical Methods and Applications - 10th International Conference, 2022

Sensitivity Analysis of an Air Pollution Model with Using Innovative Monte Carlo Methods in Calculating Multidimensional Integrals.

Tzvetan Ostromsky, Venelin Todorov, Ivan Dimov, Rayna Georgieva

Proceedings of the Numerical Methods and Applications - 10th International Conference, 2022

On an Optimization of the Lattice Sequence for the Multidimensional Integrals Connected with Bayesian Statistics.

Venelin Todorov, Slavi G. Georgiev

Proceedings of the Modelling and Development of Intelligent Systems, 2022

Innovative Lattice Sequences Based on Component by Component Construction Method for Multidimensional Sensitivity Analysis.

Venelin Todorov, Slavi G. Georgiev

Proceedings of the Modelling and Development of Intelligent Systems, 2022

Generating Functions and Approximations of the Caputo Fractional Derivative.

Yuri Dimitrov, Venelin Todorov, Radan Miryanov, Stefka Fidanova, Jan Rusinek

Proceedings of the Advanced Communication and Intelligent Systems, 2022

A Stochastic Optimization Method for European Option Pricing.

Venelin Todorov, Slavi G. Georgiev

Proceedings of the Communication Papers of the 17th Conference on Computer Science and Intelligence Systems, 2022

An Optimization Technique for Estimating Sobol Sensitivity Indices.

Venelin Todorov, Slavi G. Georgiev

Proceedings of the Communication Papers of the 17th Conference on Computer Science and Intelligence Systems, 2022

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

Venelin Todorov, Ivan Dimov, Stefka Fidanova, Rayna Georgieva, Tzvetan Ostromsky, Stoyan Poryazov

Proceedings of the Communication Papers of the 17th Conference on Computer Science and Intelligence Systems, 2022

2021

Advanced stochastic approaches for Sobol' sensitivity indices evaluation.

Venelin Todorov, Ivan Dimov, Tzvetan Ostromsky, Stoyan Apostolov, Rayna Georgieva, Yuri Dimitrov, Zahari Zlatev

Neural Comput. Appl., 2021

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

Karl K. Sabelfeld, Dmitry Smirnov, Ivan Dimov, Venelin Todorov

Monte Carlo Methods Appl., 2021

Multidimensional Sensitivity Analysis of an Air Pollution Model Based on Modifications of the van der Corput Sequence.

Venelin Todorov, Ivan Dimov, Rayna Georgieva, Tzvetan Ostromsky, Zahari Zlatev, Stoyan Poryazov

Proceedings of the Large-Scale Scientific Computing - 13th International Conference, 2021

Advanced Stochastic Approaches Based on Optimization of Lattice Sequences for Large-Scale Finance Problems.

Venelin Todorov, Ivan Dimov, Rayna Georgieva, Stoyan Apostolov, Stoyan Poryazov

Proceedings of the Large-Scale Scientific Computing - 13th International Conference, 2021

Sensitivity Study of Large-Scale Air Pollution Model Based on Modifications of the Latin Hypercube Sampling Method.

Tzvetan Ostromsky, Venelin Todorov, Ivan Dimov, Rayna Georgieva, Zahari Zlatev, Stoyan Poryazov

Proceedings of the Large-Scale Scientific Computing - 13th International Conference, 2021

Constructions of Second Order Approximations of the Caputo Fractional Derivative.

Stoyan Apostolov, Yuri Dimitrov, Venelin Todorov

Proceedings of the Large-Scale Scientific Computing - 13th International Conference, 2021

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

Venelin Todorov, Ivan Dimov, Stoyan Apostolov, Stoyan Poryazov

Proceedings of Sixth International Congress on Information and Communication Technology, 2021

Optimized Nano Grid Approach for Small Critical Loads.

Daniel Todorov, Venelin Todorov, Stefka Fidanova

Proceedings of the Position and Communication Papers of the 16th Conference on Computer Science and Intelligence Systems, 2021

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

Venelin Todorov, Tzvetan Ostromsky, Ivan Dimov, Rayna Georgieva

Proceedings of the Position and Communication Papers of the 16th Conference on Computer Science and Intelligence Systems, 2021

An Optimized Technique for Wigner Kernel Estimation.

Venelin Todorov, Stefka Fidanova, Ivan Dimov, Stoyan Poryazov

Proceedings of the 16th Conference on Computer Science and Intelligence Systems, 2021

Optimized lattice rule and adaptive approach for multidimensional integrals with applications.

Venelin Todorov, Ivan Dimov, Stefka Fidanova, Stoyan Poryazov

Proceedings of the Position and Communication Papers of the 16th Conference on Computer Science and Intelligence Systems, 2021

Optimized stochastic approach for integral equations.

Venelin Todorov, Ivan Dimov, Stefka Fidanova, Rayna Georgieva

Proceedings of the 16th Conference on Computer Science and Intelligence Systems, 2021

An Optimized Stochastic Techniques related to Option Pricing.

Venelin Todorov, Ivan Dimov, Stefka Fidanova, Stoyan Apostolov

Proceedings of the 16th Conference on Computer Science and Intelligence Systems, 2021

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

Venelin Todorov, Ivan Dimov, Stefka Fidanova

Proceedings of the 16th Conference on Computer Science and Intelligence Systems, 2021

Combinatorial etude.

Miroslav Stoenchev, Venelin Todorov

Proceedings of the 16th Conference on Computer Science and Intelligence Systems, 2021

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

Krasimir Kishkin, Dimitar D. Arnaudov, Venelin Todorov, Stefka Fidanova

Proceedings of the Position and Communication Papers of the 16th Conference on Computer Science and Intelligence Systems, 2021

2020

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

Venelin Todorov, Juri D. Kandilarov, Ivan Dimov, Lubin G. Vulkov

Neural Comput. Appl., 2020

Adaptive Monte Carlo algorithm for Wigner kernel evaluation.

Venelin Todorov, Ivan Dimov, Rayna Georgieva, Stoyan Dimitrov

Neural Comput. Appl., 2020

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

Venelin Todorov, Tzvetan Ostromsky, Ivan Dimov, Stefka Fidanova

Proceedings of the Communication Papers of the 2020 Federated Conference on Computer Science and Information Systems, 2020

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

Venelin Todorov, Tzvetan Ostromsky, Ivan Dimov, Stefka Fidanova

Proceedings of the Communication Papers of the 2020 Federated Conference on Computer Science and Information Systems, 2020

Advanced Stochastic Approaches for Multidimensional Integrals in Neural Networks.

Venelin Todorov, Stefka Fidanova, Ivan Dimov, Stoyan Poryazov, Stoyan Apostolov, Daniel Todorov

Proceedings of the Recent Advances in Computational Optimization, 2020

A New Optimized Adaptive Approach for Estimation of the Wigner Kernel.

Venelin Todorov, Stefka Fidanova, Ivan Dimov, Stoyan Poryazov

Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, 2020

Improved Stochastic Approaches for Evaluation of the Wigner Kernel.

Venelin Todorov, Ivan Dimov, Stoyan Poryazov

Proceedings of the Recent Advances in Computational Optimization, 2020

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

Venelin Todorov, Ivan Dimov, Tzvetan Ostromsky, Zahari Zlatev, Rayna Georgieva, Stoyan Poryazov

Proceedings of the Recent Advances in Computational Optimization, 2020

Sensitivity Study of a Large-Scale Air Pollution Model by Using Optimized Latin Hyprecube Sampling.

Venelin Todorov, Ivan Dimov, Tzvetan Ostromsky, Zahari Zlatev, Rayna Georgieva, Stoyan Poryazov

Proceedings of the Recent Advances in Computational Optimization, 2020

Expansions on Quadrature Formulas and Numerical Solutions of Ordinary Differential Equations.

Venelin Todorov, Yuri Dimitrov, Radan Miryanov, Ivan Dimov, Stoyan Poryazov

Proceedings of the Recent Advances in Computational Optimization, 2020

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

Venelin Todorov, Yuri Dimitrov, Radan Miryanov, Ivan Dimov, Stefka Fidanova, Stoyan Poryazov

Proceedings of the Communication Papers of the 2020 Federated Conference on Computer Science and Information Systems, 2020

A New Optimized Stochastic Approach for Multiple Integrals in Option Pricing.

Venelin Todorov, Ivan Dimov, Stefka Fidanova, Stoyan Poryazov

Proceedings of the Communication Papers of the 2020 Federated Conference on Computer Science and Information Systems, 2020

An Optimal Monte Carlo Algorithm for a Class of Multidimensional Integrals.

Venelin Todorov, Ivan Dimov, Stoyan Apostolov, Stefka Fidanova, Stoyan Poryazov, Yuri Dimitrov

Proceedings of the Communication Papers of the 2020 Federated Conference on Computer Science and Information Systems, 2020

A New Optimized Stochastic Approach for Multidimensional Integrals in Machine Learning.

Venelin Todorov, Stoyan Apostolov, Ivan Dimov, Stefka Fidanova

Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, 2020

A Numerical Study on Optimal Monte Carlo Algorithm for Multidimensional Integrals.

Venelin Todorov, Stoyan Apostolov, Ivan Dimov, Yuri Dimitrov, Stoyan Poryazov, Daniel Todorov

Proceedings of the Recent Advances in Computational Optimization, 2020

Advanced Stochastic Approaches Based on Lattice Rules for Multiple Integrals in Option Pricing.

Venelin Todorov

Proceedings of the Recent Advances in Computational Optimization, 2020

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

Tsvetomir Gotsov, Venelin Todorov, Tsvetelin Kolev

Proceedings of the Communication Papers of the 2020 Federated Conference on Computer Science and Information Systems, 2020

Research of the Use of Battery Shunting Locomotive with Regenerative Brake.

Tsvetomir Gotsov, Venelin Todorov

Proceedings of the Recent Advances in Computational Optimization, 2020

2019

Efficient Stochastic Approaches for Multidimensional Integrals in Bayesian Statistics.

Venelin Todorov, Ivan Dimov

Proceedings of the Large-Scale Scientific Computing - 12th International Conference, 2019

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

Tzvetan Ostromsky, Venelin Todorov, Ivan Dimov, Zahari Zlatev

Proceedings of the Large-Scale Scientific Computing - 12th International Conference, 2019

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

Venelin Todorov, Ivan Dimov, Tzvetan Ostromsky, Zahari Zlatev

Proceedings of the Advances in High Performance Computing, 2019

Second Order Shifted Approximations for the First Derivative.

Venelin Todorov, Yuri Dimitrov, Ivan Dimov

Proceedings of the Advances in High Performance Computing, 2019

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

Tzvetan Ostromsky, Venelin Todorov, Ivan Dimov, Zahari Zlatev

Proceedings of the Advances in High Performance Computing, 2019

2018

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

Tzvetan Ostromsky, Ivan Dimov, Venelin Todorov, Zahari Zlatev

Proceedings of the Numerical Methods and Applications - 9th International Conference, 2018

Numerical Analysis of a Pollution and Environment Interaction Model.

Ivan Dimov, Juri D. Kandilarov, Venelin Todorov, Lubin G. Vulkov

Proceedings of the Numerical Methods and Applications - 9th International Conference, 2018

A New Monte Carlo Algorithm for Linear Algebraic Systems Based on the "Walk on Equations" Algorithm.

Venelin Todorov, Nikolay Ikonomov, Ivan Dimov, Rayna Georgieva

Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, 2018

2017

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

Ivan Dimov, Juri D. Kandilarov, Venelin Todorov, Lubin G. Vulkov

Proceedings of the Large-Scale Scientific Computing - 11th International Conference, 2017

2016

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

Stoyan Dimitrov, Ivan Dimov, Venelin Todorov

Proceedings of the Numerical Analysis and Its Applications - 6th International Conference, 2016

2014

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

Ivan Dimov, Rayna Georgieva, Venelin Todorov

Proceedings of the Numerical Methods and Applications - 8th International Conference, 2014