Venelin Todorov

Orcid: 0000-0001-7134-5901

According to our database1, Venelin Todorov authored at least 63 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Cutting-Edge Monte Carlo Framework: Novel "Walk on Equations" Algorithm for Linear Algebraic Systems.
Axioms, January, 2024

2023
A Super-Convergent Stochastic Method Based on the Sobol Sequence for Multidimensional Sensitivity Analysis in Environmental Protection.
Axioms, February, 2023

A Stochastic Optimization Technique for UNI-DEM framework.
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.
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.
Neural Comput. Appl., 2022

A study of highly efficient stochastic sequences for multidimensional sensitivity analysis.
Monte Carlo Methods Appl., 2022

Advanced Methods and Algorithms to Study the High Pollutant Concentrations in Europe.
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.
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.
Proceedings of the Recent Advances in Computational Optimization - Selected Papers from the WCO 2022, 2022

Advanced Stochastic Approaches for Applied Computing in Environmental Modeling.
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.
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.
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.
Proceedings of the Modelling and Development of Intelligent Systems, 2022

Innovative Lattice Sequences Based on Component by Component Construction Method for Multidimensional Sensitivity Analysis.
Proceedings of the Modelling and Development of Intelligent Systems, 2022

Generating Functions and Approximations of the Caputo Fractional Derivative.
Proceedings of the Advanced Communication and Intelligent Systems, 2022

A Stochastic Optimization Method for European Option Pricing.
Proceedings of the Communication Papers of the 17th Conference on Computer Science and Intelligence Systems, 2022

An Optimization Technique for Estimating Sobol Sensitivity Indices.
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.
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.
Neural Comput. Appl., 2021

A global random walk on grid algorithm for second order elliptic equations.
Monte Carlo Methods Appl., 2021

Multidimensional Sensitivity Analysis of an Air Pollution Model Based on Modifications of the van der Corput Sequence.
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.
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.
Proceedings of the Large-Scale Scientific Computing - 13th International Conference, 2021

Constructions of Second Order Approximations of the Caputo Fractional Derivative.
Proceedings of the Large-Scale Scientific Computing - 13th International Conference, 2021

Highly Efficient Stochastic Approaches for Computation of Multiple Integrals for European Options.
Proceedings of Sixth International Congress on Information and Communication Technology, 2021

Optimized Nano Grid Approach for Small Critical Loads.
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.
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.
Proceedings of the 16th Conference on Computer Science and Intelligence Systems, 2021

Optimized lattice rule and adaptive approach for multidimensional integrals with applications.
Proceedings of the Position and Communication Papers of the 16th Conference on Computer Science and Intelligence Systems, 2021

Optimized stochastic approach for integral equations.
Proceedings of the 16th Conference on Computer Science and Intelligence Systems, 2021

An Optimized Stochastic Techniques related to Option Pricing.
Proceedings of the 16th Conference on Computer Science and Intelligence Systems, 2021

Optimized Method based on Lattice Sequences for Multidimensional Integrals in Neural Networks.
Proceedings of the 16th Conference on Computer Science and Intelligence Systems, 2021

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

Multicriterial evaluation and optimization of an algorithm for charging energy storage elements.
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.
Neural Comput. Appl., 2020

Adaptive Monte Carlo algorithm for Wigner kernel evaluation.
Neural Comput. Appl., 2020

Sensitivity Study of a Large-Scale Air Pollution Model by Using Optimized Stochastic Algorithm.
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.
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.
Proceedings of the Recent Advances in Computational Optimization, 2020

A New Optimized Adaptive Approach for Estimation of the Wigner Kernel.
Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, 2020

Improved Stochastic Approaches for Evaluation of the Wigner Kernel.
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.
Proceedings of the Recent Advances in Computational Optimization, 2020

Sensitivity Study of a Large-Scale Air Pollution Model by Using Optimized Latin Hyprecube Sampling.
Proceedings of the Recent Advances in Computational Optimization, 2020

Expansions on Quadrature Formulas and Numerical Solutions of Ordinary Differential Equations.
Proceedings of the Recent Advances in Computational Optimization, 2020

An Optimization on Quadrature Formulas and Numerical Solutions of Ordinary Differential Equations.
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.
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.
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.
Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, 2020

A Numerical Study on Optimal Monte Carlo Algorithm for Multidimensional Integrals.
Proceedings of the Recent Advances in Computational Optimization, 2020

Advanced Stochastic Approaches Based on Lattice Rules for Multiple Integrals in Option Pricing.
Proceedings of the Recent Advances in Computational Optimization, 2020

Energetic Optimization of the Use of Battery Shunting Locomotive in Industrial Plant with Regenerative Brake.
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.
Proceedings of the Recent Advances in Computational Optimization, 2020

2019
Efficient Stochastic Approaches for Multidimensional Integrals in Bayesian Statistics.
Proceedings of the Large-Scale Scientific Computing - 12th International Conference, 2019

Efficient Stochastic Algorithms for the Sensitivity Analysis Problem in the Air Pollution Modelling.
Proceedings of the Large-Scale Scientific Computing - 12th International Conference, 2019

Advanced Quasi-Monte Carlo Algorithms for Multidimensional Integrals in Air Pollution Modelling.
Proceedings of the Advances in High Performance Computing, 2019

Second Order Shifted Approximations for the First Derivative.
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.
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.
Proceedings of the Numerical Methods and Applications - 9th International Conference, 2018

Numerical Analysis of a Pollution and Environment Interaction Model.
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.
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.
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.
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.
Proceedings of the Numerical Methods and Applications - 8th International Conference, 2014


  Loading...