Ivan Dimov

ORCID

Publication Activity (10 Years)

Years Active: 1995-2023
Publications (10 Years): 60

Top Venues

LSSC

FedCSIS

WCO@FedCSIS

FedCSIS (Communication Papers)

Publications

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) (2023)
Ivan Dimov, Venelin Todorov, Karl Sabelfeld
A study of highly efficient stochastic sequences for multidimensional sensitivity analysis. Monte Carlo Methods Appl. 28 (1) (2022)
Venelin Todorov, Ivan Dimov, Maria Ganzha, Marcin Paprzycki
Advanced Stochastic Approaches for Applied Computing in Environmental Modeling. PPAM (1) (2022)
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)
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) (2022)
Dmitriy Kolyukhin, Karl K. Sabelfeld, Ivan Dimov
Sensitivity analysis of the concentration transport estimation in a turbulent flow. Monte Carlo Methods Appl. 28 (3) (2022)
Stefka Fidanova, Ivan Dimov, Denitsa Angelova, Maria Ganzha
Agricultural System Modelling with Ant Colony Optimization. FedCSIS (2022)
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) (2021)
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) (2021)
Venelin Todorov, Tzvetan Ostromsky, Ivan Dimov, Rayna Georgieva
Optimized stochastic methods for sensitivity analysis for large-scale air pollution model. FedCSIS (Position Papers) (2021)
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)
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)
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)
Venelin Todorov, Ivan Dimov, Stefka Fidanova, Rayna Georgieva
Optimized stochastic approach for integral equations. FedCSIS (2021)
Venelin Todorov, Stefka Fidanova, Ivan Dimov, Stoyan Poryazov
An Optimized Technique for Wigner Kernel Estimation. FedCSIS (2021)
Zahari Zlatev, Ivan Dimov, István Faragó, Krassimir Georgiev, Ágnes Havasi
Running an Atmospheric Chemistry Scheme from a Large Air Pollution Model by Using Advanced Versions of the Richardson Extrapolation. LSSC (2021)
Venelin Todorov, Ivan Dimov, Stefka Fidanova
Optimized Method based on Lattice Sequences for Multidimensional Integrals in Neural Networks. FedCSIS (2021)
Venelin Todorov, Ivan Dimov, Stefka Fidanova, Stoyan Poryazov
Optimized lattice rule and adaptive approach for multidimensional integrals with applications. FedCSIS (Position Papers) (2021)
Venelin Todorov, Ivan Dimov, Stefka Fidanova, Stoyan Apostolov
An Optimized Stochastic Techniques related to Option Pricing. FedCSIS (2021)
Venelin Todorov, Ivan Dimov, Stoyan Apostolov, Stoyan Poryazov
Highly Efficient Stochastic Approaches for Computation of Multiple Integrals for European Options. ICICT (2) (2021)
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)
Venelin Todorov, Ivan Dimov, Rayna Georgieva, Stoyan Dimitrov
Adaptive Monte Carlo algorithm for Wigner kernel evaluation. Neural Comput. Appl. 32 (14) (2020)
Venelin Todorov, Stefka Fidanova, Ivan Dimov, Stoyan Poryazov, Stoyan Apostolov, Daniel Todorov
Advanced Stochastic Approaches for Multidimensional Integrals in Neural Networks. WCO@FedCSIS (2020)
Ivan Dimov, Mladen Savov
Probabilistic analysis of the Single Particle Wigner Monte-Carlo method. Math. Comput. Simul. 173 (2020)
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) (2020)
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)
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)
Nico Krauter, Sven Eckert, Thomas Gundrum, Frank Stefani, Thomas Wondrak, Ruslan Khalilov, Ivan Dimov, Peter Frick
Experimental Validation of an Inductive System for Magnesium Level Detection in a Titanium Reduction Reactor. Sensors 20 (23) (2020)
Venelin Todorov, Ivan Dimov, Stefka Fidanova, Stoyan Poryazov
A New Optimized Stochastic Approach for Multiple Integrals in Option Pricing. FedCSIS (Communication Papers) (2020)
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)
Venelin Todorov, Ivan Dimov, Stoyan Poryazov
Improved Stochastic Approaches for Evaluation of the Wigner Kernel. WCO@FedCSIS (2020)
Venelin Todorov, Yuri Dimitrov, Radan Miryanov, Ivan Dimov, Stoyan Poryazov
Expansions on Quadrature Formulas and Numerical Solutions of Ordinary Differential Equations. WCO@FedCSIS (2020)
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)
Venelin Todorov, Stoyan Apostolov, Ivan Dimov, Stefka Fidanova
A New Optimized Stochastic Approach for Multidimensional Integrals in Machine Learning. FedCSIS (2020)
Zahari Zlatev, Ivan Dimov, István Faragó, Krassimir Georgiev, Ágnes Havasi
Explicit Runge-Kutta Methods Combined with Advanced Versions of the Richardson Extrapolation. Comput. Methods Appl. Math. 20 (4) (2020)
Venelin Todorov, Stefka Fidanova, Ivan Dimov, Stoyan Poryazov
A New Optimized Adaptive Approach for Estimation of the Wigner Kernel. FedCSIS (2020)
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)
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)
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)
Venelin Todorov, Yuri Dimitrov, Ivan Dimov
Second Order Shifted Approximations for the First Derivative. HPC (2019)
John Armitage, Leszek J. Spalek, Malgorzata Nguyen, Mark Nikolka, Ian E. Jacobs, Lorena Marañón, Iyad Nasrallah, Guillaume Schweicher, Ivan Dimov, Dimitrios Simatos, Iain McCulloch, Christian B. Nielsen, Gareth John Conduit, Henning Sirringhaus
Fragment Graphical Variational AutoEncoding for Screening Molecules with Small Data. CoRR (2019)
Zahari Zlatev, Ivan Dimov, István Faragó, Krassimir Georgiev, Ágnes Havasi
Studying the Influence of Climate Changes on European Ozone Levels. LSSC (2019)
Venelin Todorov, Ivan Dimov, Tzvetan Ostromsky, Zahari Zlatev
Advanced Quasi-Monte Carlo Algorithms for Multidimensional Integrals in Air Pollution Modelling. HPC (2019)
Venelin Todorov, Ivan Dimov
Efficient Stochastic Approaches for Multidimensional Integrals in Bayesian Statistics. LSSC (2019)
Tzvetan Ostromsky, Venelin Todorov, Ivan Dimov, Zahari Zlatev
Efficient Stochastic Algorithms for the Sensitivity Analysis Problem in the Air Pollution Modelling. LSSC (2019)
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)
Mihail Nedjalkov, Paul Ellinghaus, Josef Weinbub, Toufik Sadi, Asen Asenov, Ivan Dimov, Siegfried Selberherr
Stochastic analysis of surface roughness models in quantum wires. Comput. Phys. Commun. 228 (2018)
Ivan Dimov, Juri D. Kandilarov, Venelin Todorov, Lubin G. Vulkov
Numerical Analysis of a Pollution and Environment Interaction Model. NMA (2018)
Zahari Zlatev, Ivan Dimov, István Faragó, Krassimir Georgiev, Ágnes Havasi
Absolute Stability and Implementation of the Two-Times Repeated Richardson Extrapolation Together with Explicit Runge-Kutta Methods. FDM (2018)
Zahari Zlatev, Ivan Dimov, István Faragó, Krassimir Georgiev, Ágnes Havasi
Stability Properties of Repeated Richardson Extrapolation Applied Together with Some Implicit Runge-Kutta Methods. FDM (2018)
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)
Kristina G. Kapanova, Ivan Dimov, Jean Michel D. Sellier
On randomization of neural networks as a form of post-learning strategy. Soft Comput. 21 (9) (2017)
Zahari Zlatev, Ivan Dimov, István Faragó, Krassimir Georgiev, Ágnes Havasi
Stability of the Richardson Extrapolation combined with some implicit Runge-Kutta methods. J. Comput. Appl. Math. 310 (2017)
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)
Zahari Zlatev, Ivan Dimov, Krassimir Georgiev, Svetozar Margenov
Numerical algorithms for scientific and engineering applications. J. Comput. Appl. Math. 310 (2017)
Zahari Zlatev, Ivan Dimov, Krassimir Georgiev, Radim Blaheta
Using Advanced Mathematical Tools in Complex Studies Related to Climate Changes and High Pollution Levels. LSSC (2017)
Tzvetan Ostromsky, Vassil N. Alexandrov, Ivan Dimov, Zahari Zlatev
On the Performance, Scalability and Sensitivity Analysis of a Large Air Pollution Model. ICCS (2016)
Zahari Zlatev, Ivan Dimov, Ivan Lirkov
Efficient numerical methods for large-scale scientific computations: Introduction. J. Comput. Appl. Math. 293 (2016)
Jean Michel D. Sellier, Rosangela F. Sviercoski, Ivan Dimov
On the Wigner Monte Carlo method coupled to pseudopotential models. J. Comput. Appl. Math. 293 (2016)
Stoyan Dimitrov, Ivan Dimov, Venelin Todorov
Latin Hypercube Sampling and Fibonacci Based Lattice Method Comparison for Computation of Multidimensional Integrals. NAA (2016)
Jean Michel D. Sellier, Ivan Dimov
A sensitivity study of the Wigner Monte Carlo method. J. Comput. Appl. Math. 277 (2015)
Zahari Zlatev, Krassimir Georgiev, Ivan Dimov
Selecting Explicit Runge-Kutta Methods with Improved Stability Properties. LSSC (2015)
Tzvetan Ostromsky, Ivan Dimov, Vassil N. Alexandrov, Zahari Zlatev
Preparing input data for sensitivity analysis of an air pollution model by using high-performance supercomputers and algorithms. Comput. Math. Appl. 70 (11) (2015)
Jean Michel D. Sellier, Ivan Dimov
On the simulation of indistinguishable fermions in the many-body Wigner formalism. J. Comput. Phys. 280 (2015)
Jean Michel D. Sellier, Mihail Nedjalkov, Ivan Dimov, Siegfried Selberherr
A benchmark study of the Wigner Monte Carlo method. Monte Carlo Methods Appl. 20 (1) (2014)
Zahari Zlatev, Ivan Dimov, István Faragó, Krassimir Georgiev, Ágnes Havasi, Tzvetan Ostromsky
Application of Richardson extrapolation for multi-dimensional advection equations. Comput. Math. Appl. 67 (12) (2014)
Jean Michel D. Sellier, Ivan Dimov
The Wigner-Boltzmann Monte Carlo method applied to electron transport in the presence of a single dopant. Comput. Phys. Commun. 185 (10) (2014)
Jean Michel D. Sellier, Ivan Dimov
A Wigner Monte Carlo approach to density functional theory. J. Comput. Phys. 270 (2014)
Zahari Zlatev, Krassimir Georgiev, Ivan Dimov
Studying absolute stability properties of the Richardson Extrapolation combined with explicit Runge-Kutta methods. Comput. Math. Appl. 67 (12) (2014)
Ivan Dimov, Rayna Georgieva, Venelin Todorov
Balancing of Systematic and Stochastic Errors in Monte Carlo Algorithms for Integral Equations. NMA (2014)
Jean Michel D. Sellier, Ivan Dimov
The many-body Wigner Monte Carlo method for time-dependent ab-initio quantum simulations. J. Comput. Phys. 273 (2014)
Jean Michel D. Sellier, Mihail Nedjalkov, Ivan Dimov, Siegfried Selberherr
The Role of Annihilation in a Wigner Monte Carlo Approach. LSSC (2013)
Ivan Dimov, Rayna Georgieva, Tzvetan Ostromsky, Zahari Zlatev
Advanced algorithms for multidimensional sensitivity studies of large-scale air pollution models based on Sobol sequences. Comput. Math. Appl. 65 (3) (2013)
Zahari Zlatev, Krassimir Georgiev, Ivan Dimov
Stability Properties of Explicit Runge-Kutta Methods Combined with Richardson Extrapolation. LSSC (2013)
Zahari Zlatev, Krassimir Georgiev, Ivan Dimov
Influence of climatic changes on pollution levels in the Balkan Peninsula. Comput. Math. Appl. 65 (3) (2013)
Philipp Schwaha, Mihail Nedjalkov, Siegfried Selberherr, Jean Michel D. Sellier, Ivan Dimov, Rayna Georgieva
Stochastic Formulation of Newton's Acceleration. LSSC (2013)
Ivan Dimov, Rayna Georgieva, Tzvetan Ostromsky, Zahari Zlatev
Variance-Based Sensitivity Analysis of the Unified Danish Eulerian Model According to Variations of Chemical Rates. NAA (2012)
Tzvetan Ostromsky, Ivan Dimov, Rayna Georgieva, Pencho Marinov, Zahari Zlatev
High Performance Computing of Data for a New Sensitivity Analysis Algorithm, Applied in an Air Pollution Model. NAA (2012)
Ivan Dimov, Rayna Georgieva, Tzvetan Ostromsky
Monte Carlo sensitivity analysis of an Eulerian large-scale air pollution model. Reliab. Eng. Syst. Saf. 107 (2012)
Tzvetan Ostromsky, Ivan Dimov, Rayna Georgieva, Zahari Zlatev
Parallel Computation of Sensitivity Analysis Data for the Danish Eulerian Model. LSSC (2011)
Philipp Schwaha, Mihail Nedjalkov, Siegfried Selberherr, Ivan Dimov
Phonon-Induced Decoherence in Electron Evolution. LSSC (2011)
Mihail Nedjalkov, Siegfried Selberherr, Ivan Dimov
Stochastic Algorithm for Solving the Wigner-Boltzmann Correction Equation. NMA (2010)
Ivan Dimov, Rayna Georgieva, Sofiya Ivanovska, Tzvetan Ostromsky, Zahari Zlatev
Studying the sensitivity of pollutants' concentrations caused by variations of chemical rates. J. Comput. Appl. Math. 235 (2) (2010)
Zahari Zlatev, Ivan Dimov, István Faragó, Krassimir Georgiev, Ágnes Havasi, Tzvetan Ostromsky
Richardson Extrapolated Numerical Methods for Treatment of One-Dimensional Advection Equations. NMA (2010)
Ivan Dimov, Rayna Georgieva
Monte Carlo algorithms for evaluating Sobol' sensitivity indices. Math. Comput. Simul. 81 (3) (2010)
Ivan Dimov, Rayna Georgieva
Monte Carlo Method for Numerical Integration Based on Sobol's Sequences. NMA (2010)
Ivan Dimov, Rayna Georgieva
Monte Carlo Adaptive Technique for Sensitivity Analysis of a Large-Scale Air Pollution Model. LSSC (2009)
Tzvetan Ostromsky, Ivan Dimov, Rayna Georgieva, Zahari Zlatev
Sensitivity Analysis of a Large-Scale Air Pollution Model: Numerical Aspects and a Highly Parallel Implementation. LSSC (2009)
Tzvetan Ostromsky, Ivan Dimov, Zahari Zlatev
Parallel Performance and Scalability Experiments with the Danish Eulerian Model on the EPCC Supercomputers. NAA (2008)
Ivan Dimov, Jack J. Dongarra, Kaj Madsen, Jerzy Wasniewski, Zahari Zlatev
Special section: Applications of distributed and grid computing. Future Gener. Comput. Syst. 24 (6) (2008)
Ivan Dimov, Vassil N. Alexandrov, Rumyana Papancheva, Christian Weihrauch
Monte Carlo Numerical Treatment of Large Linear Algebra Problems. International Conference on Computational Science (1) (2007)
Todor V. Gurov, Emanouil I. Atanassov, Mihail Nedjalkov, Ivan Dimov
Modeling of Carrier Transport in Nanowires. International Conference on Computational Science (1) (2007)
Petra Csomós, Ivan Dimov, István Faragó, Ágnes Havasi, Tzvetan Ostromsky
Computational complexity of weighted splitting schemes on parallel computers. Int. J. Parallel Emergent Distributed Syst. 22 (3) (2007)
Mihail Nedjalkov, Dragica Vasileska, Ivan Dimov, Goce L. Arsov
Mixed initial-boundary value problem in particle modeling of microelectronic devices. Monte Carlo Methods Appl. 13 (4) (2007)
Ivan Dimov, Rayna Georgieva
Complexity of Monte Carlo Algorithms for a Class of Integral Equations. International Conference on Computational Science (1) (2007)
Christian Weihrauch, Ivan Dimov, Simon Branford, Vassil N. Alexandrov
Comparison of the Computational Cost of a Monte Carlo and Deterministic Algorithm for Computing Bilinear Forms of Matrix Powers. International Conference on Computational Science (3) (2006)
Ivan Dimov, Vassil N. Alexandrov, Simon Branford, Christian Weihrauch
Error Analysis of a Monte Carlo Algorithm for Computing Bilinear Forms of Matrix Powers. International Conference on Computational Science (3) (2006)
Todor V. Gurov, Emanouil I. Atanassov, Ivan Dimov, Vassil Palankovski
Femtosecond Evolution of Spatially Inhomogeneous Carrier Excitations Part II: Stochastic Approach and Grid Implementation. LSSC (2005)
Vassil N. Alexandrov, Emanouil I. Atanassov, Ivan Dimov, Simon Branford, Ashish Thandavan, Christian Weihrauch
Parallel Hybrid Monte Carlo Algorithms for Matrix Computations. International Conference on Computational Science (3) (2005)
V. Alexandov, Emanouil I. Atanassov, Ivan Dimov
Parallel Quasi-Monte Carlo Methods for Linear Algebra Problems. Monte Carlo Methods Appl. 10 (3-4) (2004)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ivan Dimov