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ORCIDIvan Tomov Dimov
Ivan Dimov 0001 – Ivan T. Dimov
Person information
- affiliation: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies, Department of Parallel Algorithms, Sofia, Bulgaria
Other persons with the same name
- Ivan Dimov — disambiguation page
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2020 – today
- 2024
[j50]Venelin Todorov
, Ivan Dimov:
Cutting-Edge Monte Carlo Framework: Novel "Walk on Equations" Algorithm for Linear Algebraic Systems. Axioms 13(1): 53 (2024)- 2023
- [j49]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): 146 (2023) - [c101]Tzvetan Ostromsky, Ivan Dimov, Rayna Georgieva, Venelin Todorov:
Sensitivity Study of a Large-scale Air Pollution Model on the Bulgarian Petascale Supercomputer Discoverer. FedCSIS 2023: 1093-1100 - [c100]Venelin Todorov, Slavi G. Georgiev, Ivan Dimov, Tzvetan Ostromsky:
A Stochastic Optimization Technique for UNI-DEM framework. FedCSIS 2023: 1167-1172 - [c99]Venelin Todorov, Slavi G. Georgiev, Stoyan Apostolov, Ivan Tomov Dimov:
An Improved Algorithm for Fredholm Integral Equations. LSSC 2023: 262-270 - [c98]Venelin Todorov, Slavi G. Georgiev, Ivan Tomov Dimov, Rayna Georgieva, Tzvetan Ostromsky:
Improved Stochastic Lattice Methods for Large-Scale Air Pollution Model. LSSC 2023: 363-371 - 2022
- [j48]Ivan Dimov, Venelin Todorov, Karl Sabelfeld:
A study of highly efficient stochastic sequences for multidimensional sensitivity analysis. Monte Carlo Methods Appl. 28(1): 1-12 (2022) - [j47]Dmitriy Kolyukhin, Karl K. Sabelfeld, Ivan Dimov:
Sensitivity analysis of the concentration transport estimation in a turbulent flow. Monte Carlo Methods Appl. 28(3): 211-219 (2022) - [j46]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): 1527-1540 (2022) - [c97]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: 101-104 - [c96]Stefka Fidanova, Ivan Dimov, Denitsa Angelova, Maria Ganzha:
Agricultural System Modelling with Ant Colony Optimization. FedCSIS 2022: 329-332 - [c95]Tzvetan Ostromsky, Venelin Todorov, Ivan Dimov, Rayna Georgieva:
Sensitivity Analysis of an Air Pollution Model with Using Innovative Monte Carlo Methods in Calculating Multidimensional Integrals. NMA 2022: 258-270 - [c94]Venelin Todorov, Ivan Dimov, Rayna Georgieva, Tzvetan Ostromsky:
Optimized Stochastic Approaches Based on Sobol Quasirandom Sequences for Fredholm Integral Equations of the Second Kind. NMA 2022: 302-313 - [c93]Venelin Todorov, Ivan Dimov, Maria Ganzha, Marcin Paprzycki:
Advanced Stochastic Approaches for Applied Computing in Environmental Modeling. PPAM (1) 2022: 55-67 - [c92]Stefka Fidanova, Ivan T. Dimov, Denitsa Angelova, Maria Ganzha:
Application of Methaeuristics for Agricultural System Modelling. WCO 2022: 88-109 - [c91]Venelin Todorov, Slavi G. Georgiev, Ivan T. Dimov:
Advanced Methods and Algorithms to Study the High Pollutant Concentrations in Europe. WCO 2022: 243-277 - 2021
- [j45]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): 325-339 (2021) - [j44]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): 1999-2014 (2021) - [c90]Venelin Todorov, Ivan Dimov, Stefka Fidanova, Stoyan Poryazov:
Optimized lattice rule and adaptive approach for multidimensional integrals with applications. FedCSIS (Position Papers) 2021: 75-80 - [c89]Venelin Todorov, Tzvetan Ostromsky, Ivan Dimov, Rayna Georgieva:
Optimized stochastic methods for sensitivity analysis for large-scale air pollution model. FedCSIS (Position Papers) 2021: 85-88 - [c88]Venelin Todorov, Stefka Fidanova, Ivan Dimov, Stoyan Poryazov:
An Optimized Technique for Wigner Kernel Estimation. FedCSIS 2021: 235-238 - [c87]Venelin Todorov, Ivan Dimov, Stefka Fidanova, Rayna Georgieva:
Optimized stochastic approach for integral equations. FedCSIS 2021: 239-242 - [c86]Venelin Todorov, Ivan Dimov, Stefka Fidanova:
Optimized Method based on Lattice Sequences for Multidimensional Integrals in Neural Networks. FedCSIS 2021: 243-246 - [c85]Venelin Todorov, Ivan Dimov, Stefka Fidanova, Stoyan Apostolov:
An Optimized Stochastic Techniques related to Option Pricing. FedCSIS 2021: 247-250 - [c84]Venelin Todorov, Ivan Dimov, Stoyan Apostolov, Stoyan Poryazov:
Highly Efficient Stochastic Approaches for Computation of Multiple Integrals for European Options. ICICT (2) 2021: 1-9 - [c83]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: 156-163 - [c82]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: 180-187 - [c81]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: 188-197 - [c80]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: 257-265 - [e8]Ivan Dimov, Stefka Fidanova:
Advances in High Performance Computing - Results of the International Conference on "High Performance Computing", HPC 2019, Borovets, Bulgaria, September 2-6, 2019. Studies in Computational Intelligence 902, Springer 2021, ISBN 978-3-030-55346-3 [contents] - 2020
- [j43]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): 739-762 (2020) - [j42]Ivan Dimov, Mladen Savov:
Probabilistic analysis of the Single Particle Wigner Monte-Carlo method. Math. Comput. Simul. 173: 32-50 (2020) - [j41]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): 6025-6040 (2020) - [j40]Venelin Todorov, Ivan Dimov, Rayna Georgieva, Stoyan Dimitrov:
Adaptive Monte Carlo algorithm for Wigner kernel evaluation. Neural Comput. Appl. 32(14): 9953-9964 (2020) - [c79]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: 13-16 - [c78]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: 17-20 - [c77]Venelin Todorov, Ivan Dimov, Stefka Fidanova, Stoyan Poryazov:
A New Optimized Stochastic Approach for Multiple Integrals in Option Pricing. FedCSIS (Communication Papers) 2020: 21-24 - [c76]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: 25-28 - [c75]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: 29-32 - [c74]Venelin Todorov, Stoyan Apostolov, Ivan Dimov, Stefka Fidanova:
A New Optimized Stochastic Approach for Multidimensional Integrals in Machine Learning. FedCSIS 2020: 337-340 - [c73]Venelin Todorov, Stefka Fidanova, Ivan Dimov, Stoyan Poryazov:
A New Optimized Adaptive Approach for Estimation of the Wigner Kernel. FedCSIS 2020: 341-344 - [c72]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: 371-387 - [c71]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: 389-405 - [c70]Venelin Todorov, Stefka Fidanova, Ivan Dimov, Stoyan Poryazov, Stoyan Apostolov, Daniel Todorov:
Advanced Stochastic Approaches for Multidimensional Integrals in Neural Networks. WCO@FedCSIS 2020: 425-438 - [c69]Venelin Todorov, Ivan Dimov, Stoyan Poryazov:
Improved Stochastic Approaches for Evaluation of the Wigner Kernel. WCO@FedCSIS 2020: 439-450 - [c68]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: 451-461 - [c67]Venelin Todorov, Yuri Dimitrov, Radan Miryanov, Ivan Dimov, Stoyan Poryazov:
Expansions on Quadrature Formulas and Numerical Solutions of Ordinary Differential Equations. WCO@FedCSIS 2020: 463-475
2010 – 2019
- 2019
- [j39]Ivan T. Dimov, Sylvain Maire:
A new unbiased stochastic algorithm for solving linear Fredholm equations of the second kind. Adv. Comput. Math. 45(3): 1499-1519 (2019) - [c66]Venelin Todorov, Ivan Dimov, Tzvetan Ostromsky, Zahari Zlatev:
Advanced Quasi-Monte Carlo Algorithms for Multidimensional Integrals in Air Pollution Modelling. HPC 2019: 155-167 - [c65]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: 184-195 - [c64]Venelin Todorov, Yuri Dimitrov, Ivan Dimov:
Second Order Shifted Approximations for the First Derivative. HPC 2019: 428-437 - [c63]Zahari Zlatev, Ivan Dimov, István Faragó, Krassimir Georgiev, Ágnes Havasi:
Studying the Influence of Climate Changes on European Ozone Levels. LSSC 2019: 391-399 - [c62]Tzvetan Ostromsky, Venelin Todorov, Ivan Dimov, Zahari Zlatev:
Efficient Stochastic Algorithms for the Sensitivity Analysis Problem in the Air Pollution Modelling. LSSC 2019: 420-428 - [c61]Venelin Todorov, Ivan Dimov:
Efficient Stochastic Approaches for Multidimensional Integrals in Bayesian Statistics. LSSC 2019: 454-462 - [e7]Ivan Dimov, István Faragó, Lubin G. Vulkov:
Finite Difference Methods. Theory and Applications - 7th International Conference, FDM 2018, Lozenetz, Bulgaria, June 11-16, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11386, Springer 2019, ISBN 978-3-030-11538-8 [contents] - 2018
- [j38]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: 30-37 (2018) - [j37]K. G. Kapanova, Ivan Tomov Dimov, Jean Michel D. Sellier:
A genetic approach to automatic neural network architecture optimization. Neural Comput. Appl. 29(5): 1481-1492 (2018) - [c60]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: 114-125 - [c59]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: 678-686 - [c58]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: 257-260 - [c57]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: 281-289 - [c56]Ivan Dimov, Juri D. Kandilarov, Venelin Todorov, Lubin G. Vulkov:
Numerical Analysis of a Pollution and Environment Interaction Model. NMA 2018: 383-391 - 2017
- [j36]K. G. Kapanova, Ivan Tomov Dimov, Jean Michel D. Sellier:
A neural network sensitivity analysis in the presence of random fluctuations. Neurocomputing 224: 177-183 (2017) - [j35]Zahari Zlatev, Ivan Dimov, Krassimir Georgiev, Svetozar Margenov:
Numerical algorithms for scientific and engineering applications. J. Comput. Appl. Math. 310: 1-4 (2017) - [j34]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: 224-240 (2017) - [j33]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): 2385-2393 (2017) - [c55]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: 450-457 - [c54]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: 552-559 - [e6]Ivan Dimov, István Faragó, Lubin G. Vulkov:
Numerical Analysis and Its Applications - 6th International Conference, NAA 2016, Lozenetz, Bulgaria, June 15-22, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10187, 2017, ISBN 978-3-319-57098-3 [contents] - 2016
- [j32]Zahari Zlatev, Ivan Dimov, Ivan Lirkov:
Efficient numerical methods for large-scale scientific computations: Introduction. J. Comput. Appl. Math. 293: 1-6 (2016) - [j31]Jean Michel D. Sellier, Rosangela F. Sviercoski, Ivan Dimov:
On the Wigner Monte Carlo method coupled to pseudopotential models. J. Comput. Appl. Math. 293: 217-222 (2016) - [c53]Tzvetan Ostromsky, Vassil Alexandrov, Ivan Dimov, Zahari Zlatev:
On the Performance, Scalability and Sensitivity Analysis of a Large Air Pollution Model. ICCS 2016: 2053-2061 - [c52]Stoyan Dimitrov, Ivan Dimov, Venelin Todorov:
Latin Hypercube Sampling and Fibonacci Based Lattice Method Comparison for Computation of Multidimensional Integrals. NAA 2016: 302-310 - 2015
- [j30]Jean Michel D. Sellier, D. Y. Ivanova, Ivan Tomov Dimov:
Molecular descriptors and quasi-distribution functions. Comput. Math. Appl. 70(11): 2726-2731 (2015) - [j29]Tzvetan Ostromsky, Ivan Dimov, Vassil 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): 2773-2782 (2015) - [j28]Jean Michel D. Sellier, Ivan Dimov:
A sensitivity study of the Wigner Monte Carlo method. J. Comput. Appl. Math. 277: 87-93 (2015) - [j27]Jean Michel D. Sellier, Ivan Dimov:
On the simulation of indistinguishable fermions in the many-body Wigner formalism. J. Comput. Phys. 280: 287-294 (2015) - [j26]Jean Michel D. Sellier, Mihail Nedjalkov, Ivan Tomov Dimov, Siegfried Selberherr:
A comparison of approaches for the solution of the Wigner equation. Math. Comput. Simul. 107: 108-119 (2015) - [c51]Tatiana P. Chernogorova, Ivan Tomov Dimov, Lubin G. Vulkov:
A Splitting Numerical Method for Primary and Secondary Pollutant Models. LSSC 2015: 319-326 - [c50]Zahari Zlatev, Krassimir Georgiev, Ivan Dimov:
Selecting Explicit Runge-Kutta Methods with Improved Stability Properties. LSSC 2015: 409-416 - [e5]Ivan Dimov, István Faragó, Lubin G. Vulkov:
Finite Difference Methods, Theory and Applications - 6th International Conference, FDM 2014, Lozenetz, Bulgaria, June 18-23, 2014, Revised Selected Papers. Lecture Notes in Computer Science 9045, Springer 2015, ISBN 978-3-319-20238-9 [contents] - [e4]Ivan Dimov, Stefka Fidanova, Ivan Lirkov:
Numerical Methods and Applications - 8th International Conference, NMA 2014, Borovets, Bulgaria, August 20-24, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8962, Springer 2015, ISBN 978-3-319-15584-5 [contents] - [i1]K. G. Kapanova, Ivan Tomov Dimov, Jean Michel D. Sellier:
On randomization of neural networks as a form of post-learning strategy. CoRR abs/1511.08366 (2015) - 2014
- [j25]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): 2279-2293 (2014) - [j24]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): 2294-2307 (2014) - [j23]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): 2427-2435 (2014) - [j22]Jean Michel D. Sellier, Ivan Dimov:
A Wigner Monte Carlo approach to density functional theory. J. Comput. Phys. 270: 265-277 (2014) - [j21]Jean Michel D. Sellier, Ivan Dimov:
The many-body Wigner Monte Carlo method for time-dependent ab-initio quantum simulations. J. Comput. Phys. 273: 589-597 (2014) - [j20]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): 43-51 (2014) - [c49]Jean Michel D. Sellier, Rayna Georgieva, Ivan Tomov Dimov:
Sensitivity Analysis of Design Parameters for Silicon Diodes. NMA 2014: 34-43 - [c48]Ivan Dimov, Rayna Georgieva, Venelin Todorov:
Balancing of Systematic and Stochastic Errors in Monte Carlo Algorithms for Integral Equations. NMA 2014: 44-51 - 2013
- [j19]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): 338-351 (2013) - [j18]Zahari Zlatev, Krassimir Georgiev, Ivan Dimov:
Influence of climatic changes on pollution levels in the Balkan Peninsula. Comput. Math. Appl. 65(3): 544-562 (2013) - [c47]Philipp Schwaha, Mihail Nedjalkov, Siegfried Selberherr, Jean Michel D. Sellier, Ivan Dimov, Rayna Georgieva:
Stochastic Formulation of Newton's Acceleration. LSSC 2013: 178-185 - [c46]Jean Michel D. Sellier, Mihail Nedjalkov, Ivan Dimov, Siegfried Selberherr:
The Role of Annihilation in a Wigner Monte Carlo Approach. LSSC 2013: 186-193 - [c45]Zahari Zlatev, Krassimir Georgiev, Ivan Dimov:
Stability Properties of Explicit Runge-Kutta Methods Combined with Richardson Extrapolation. LSSC 2013: 428-435 - [e3]Ivan Dimov, István Faragó, Lubin G. Vulkov:
Numerical Analysis and Its Applications - 5th International Conference, NAA 2012, Lozenetz, Bulgaria, June 15-20, 2012, Revised Selected Papers. Lecture Notes in Computer Science 8236, Springer 2013, ISBN 978-3-642-41514-2 [contents] - 2012
- [j17]Ivan Dimov, Rayna Georgieva, Tzvetan Ostromsky:
Monte Carlo sensitivity analysis of an Eulerian large-scale air pollution model. Reliab. Eng. Syst. Saf. 107: 23-28 (2012) - [c44]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: 247-254 - [c43]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: 428-436 - 2011
- [c42]Tzvetan Ostromsky, Ivan Dimov, Rayna Georgieva, Zahari Zlatev:
Parallel Computation of Sensitivity Analysis Data for the Danish Eulerian Model. LSSC 2011: 307-315 - [c41]Philipp Schwaha, Mihail Nedjalkov, Siegfried Selberherr, Ivan Dimov:
Phonon-Induced Decoherence in Electron Evolution. LSSC 2011: 472-479 - [e2]Ivan Dimov, Stefka Dimova, Natalia T. Kolkovska:
Numerical Methods and Applications - 7th International Conference, NMA 2010, Borovets, Bulgaria, August 20-24, 2010. Revised Papers. Lecture Notes in Computer Science 6046, Springer 2011, ISBN 978-3-642-18465-9 [contents] - 2010
- [j16]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): 391-402 (2010) - [j15]Ivan Dimov, Rayna Georgieva:
Monte Carlo algorithms for evaluating Sobol' sensitivity indices. Math. Comput. Simul. 81(3): 506-514 (2010) - [c40]Ivan Dimov, Rayna Georgieva:
Monte Carlo Method for Numerical Integration Based on Sobol's Sequences. NMA 2010: 50-59 - [c39]Mihail Nedjalkov, Siegfried Selberherr, Ivan Dimov:
Stochastic Algorithm for Solving the Wigner-Boltzmann Correction Equation. NMA 2010: 95-102 - [c38]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: 198-206
2000 – 2009
- 2009
- [c37]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: 197-205 - [c36]Ivan Dimov, Rayna Georgieva:
Monte Carlo Adaptive Technique for Sensitivity Analysis of a Large-Scale Air Pollution Model. LSSC 2009: 387-394 - [c35]Anton A. Penzov, Ivan Tomov Dimov, László Szirmay-Kalos, V. N. Koylazov:
Analysis of the Monte Carlo Image Creation by Uniform Separation. LSSC 2009: 419-426 - 2008
- [j14]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): 582-584 (2008) - [j13]Simon Branford, Cihan Sahin, Ashish Thandavan, Christian Weihrauch, Vassil N. Alexandrov, Ivan Tomov Dimov:
Monte Carlo methods for matrix computations on the grid. Future Gener. Comput. Syst. 24(6): 605-612 (2008) - [c34]Ivan Tomov Dimov, Stanislava S. Stoilova, N. Mitev:
Diaphony of Uniform Samples over Hemisphere and Sphere. NAA 2008: 257-264 - [c33]Tzvetan Ostromsky, Ivan Dimov, Zahari Zlatev:
Parallel Performance and Scalability Experiments with the Danish Eulerian Model on the EPCC Supercomputers. NAA 2008: 447-453 - 2007
- [j12]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): 299-331 (2007) - [j11]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): 137-147 (2007) - [c32]Ivan Dimov, Rayna Georgieva:
Complexity of Monte Carlo Algorithms for a Class of Integral Equations. International Conference on Computational Science (1) 2007: 731-738 - [c31]Todor V. Gurov, Emanouil I. Atanassov, Mihail Nedjalkov, Ivan Dimov:
Modeling of Carrier Transport in Nanowires. International Conference on Computational Science (1) 2007: 739-746 - [c30]Ivan Dimov, Vassil Alexandrov, Rumyana Papancheva, Christian Weihrauch:
Monte Carlo Numerical Treatment of Large Linear Algebra Problems. International Conference on Computational Science (1) 2007: 747-754 - [c29]Cihan Sahin, Christian Weihrauch, Ivan Tomov Dimov, Vassil N. Alexandrov:
A Collaborative Working Environment for a Large Scale Environmental Model. LSSC 2007: 442-449 - 2006
- [c28]Ivan Dimov, Vassil 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: 632-639 - [c27]Christian Weihrauch, Ivan Dimov, Simon Branford, Vassil 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: 640-647 - [c26]Ivan T. Dimov:
Optimal Monte Carlo Algorithms. John Vincent Atanasoff Symposium 2006: 125-131 - [c25]Ivan Tomov Dimov, Emanouil I. Atanassov:
Exact Error Estimates and Optimal Randomized Algorithms for Integration. Numerical Methods and Applications 2006: 131-139 - [c24]Ivan Tomov Dimov, Anton A. Penzov, Stanislava S. Stoilova:
Parallel Monte Carlo Approach for Integration of the Rendering Equation. Numerical Methods and Applications 2006: 140-147 - [c23]Ivan Tomov Dimov, Anton A. Penzov, Stanislava S. Stoilova:
Parallel Monte Carlo Sampling Scheme for Sphere and Hemisphere. Numerical Methods and Applications 2006: 148-155 - 2005
- [c22]Vassil 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: 752-759 - [c21]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: 157-163 - 2004
- [j10]V. Alexandov, Emanouil I. Atanassov, Ivan Dimov:
Parallel Quasi-Monte Carlo Methods for Linear Algebra Problems. Monte Carlo Methods Appl. 10(3-4): 213-219 (2004) - [j9]Ivan T. Dimov, István Faragó, Ágnes Havasi, Zahari Zlatev:
Operator splitting and commutativity analysis in the Danish Eulerian Model. Math. Comput. Simul. 67(3): 217-233 (2004) - [c20]Ivan Tomov Dimov, Todor V. Gurov, Anton A. Penzov:
A Monte Carlo Approach for the Cook-Torrance Model. NAA 2004: 257-265 - [c19]Tzvetan Ostromsky, Ivan Dimov, Zahari Zlatev:
Parallel Implementation and One Year Experiments with the Danish Eulerian Model. NAA 2004: 440-447 - 2003
- [j8]Vassil N. Alexandrov, Ivan T. Dimov, Aneta Karaivanova, Chih Jeng Kenneth Tan:
Parallel Monte Carlo algorithms for information retrieval. Math. Comput. Simul. 62(3-6): 289-295 (2003) - [j7]Emanouil I. Atanassov, Ivan Dimov, Alain Dubus:
A new weighted Monte Carlo algorithm for elastic electron backscattering from surfaces. Math. Comput. Simul. 62(3-6): 297-305 (2003) - [j6]Ivan T. Dimov, R. Y. Papancheva:
Green's function Monte Carlo algorithms for elliptic problems. Math. Comput. Simul. 63(6): 587-604 (2003) - [c18]Emanouil I. Atanassov, Ivan Dimov, Mariya K. Durchova:
A New Quasi-Monte Carlo Algorithm for Numerical Integration of Smooth Functions. LSSC 2003: 128-135 - [c17]Todor V. Gurov, Ivan Dimov:
A Parallel Monte Carlo Method for Electron Quantum Kinetic Equation. LSSC 2003: 153-161 - [e1]Ivan Dimov, Ivan Lirkov, Svetozar Margenov, Zahari Zlatev:
Numerical Methods and Applications, 5th International Conference, NMA 2002, Borovets, Bulgaria, August 20-24, 2002, Revised Papers. Lecture Notes in Computer Science 2542, Springer 2003, ISBN 3-540-00608-7 [contents] - 2002
- [c16]Ivan Dimov, Aneta Karaivanova, Rayna Georgieva, Sofiya Ivanovska:
Parallel Importance Separation and Adaptive Monte Carlo Algorithms for Multiple Integrals. Numerical Methods and Application 2002: 99-107 - [c15]Todor V. Gurov, Paula A. Whitlock, Ivan Dimov:
Monte Carlo and Quasi-Monte Carlo Algorithms for the Barker-Ferry Equation with Low Complexity. Numerical Methods and Application 2002: 108-116 - [c14]R. J. Papancheva, Ivan Dimov, Todor V. Gurov:
A New Class of Grid-Free Monte Carlo Algorithms for Elliptic Boundary Value Problems. Numerical Methods and Application 2002: 132-139 - 2001
- [j5]Mihail Nedjalkov, Hans Kosina, Siegfried Selberherr, Ivan Tomov Dimov:
A Backward Monte Carlo Method for Simulation of the Electron Quantum Kinetics in Semiconductors. VLSI Design 13(1-4): 405-411 (2001) - [c13]Ivan Dimov, Emanouil I. Atanassov, Mariya K. Durchova:
An Improved Monte Carlo Algorithm for Elastic Electron Backscattering from Surfaces. LSSC 2001: 141-148 - [c12]Aneta Karaivanova, Ivan Dimov, Sofiya Ivanovska:
A Quasi-Monte Carlo Method for Integration with Improved Convergence. LSSC 2001: 158-165 - 2000
- [c11]Todor V. Gurov, Paula A. Whitlock, Ivan Dimov:
A Grid Free Monte Carlo Algorithm for Solving Elliptic Boundary Value Problems. NAA 2000: 359-367 - [c10]Tzvetan Ostromsky, Ivan Dimov, Ilia Tzvetanov, Zahari Zlatev:
Estimation of the Wheat Losses Caused by the Tropospheric Ozone in Bulgaria and Denmark. NAA 2000: 636-643
1990 – 1999
- 1999
- [j4]Emanouil I. Atanassov, Ivan Tomov Dimov:
A new optimal Monte Carlo method for calculating integrals of smooth functions. Monte Carlo Methods Appl. 5(2): 149-168 (1999) - [c9]Ivan Dimov, Tzvetan Ostromsky, Ilia Tzvetanov, Zahari Zlatev:
Economical Estimation of the Losses of Crops Due to High Ozone Levels. LSSC 1999: 275-282 - 1998
- [j3]Ivan Dimov, Aneta Karaivanova:
Parallel computations of eigenvalues based on a Monte Carlo approach. Monte Carlo Methods Appl. 4(1): 33-52 (1998) - [c8]Ivan Dimov, Vassil Alexandrov, Aneta Karaivanova:
Implementation of Monte Carlo Algorithms for Eigenvalue Problem Using MPI. PVM/MPI 1998: 346-353 - 1997
- [c7]Ivan Dimov, Krassimir Georgiev, Zahari Zlatev:
Long-Range Transport of Air Pollutants and Source-Receptor Relation. LSSC 1997: 155-166 - [c6]Ivan Dimov, Zahari Zlatev:
Testing the Sensitivity of Air Pollution Levels to Variations of Some Chemical Rate Constants. LSSC 1997: 167-175 - 1996
- [j2]Ivan T. Dimov, Aneta Karaivanova, Herbert Kuchen, Holger Stoltze:
Monte Carlo Algorithms for Elliptic Differential Equations. Data Parallel Functional Approach. Parallel Algorithms Appl. 9(1-2): 39-65 (1996) - [c5]Jørgen Brandt, Jesper H. Christensen, Ivan Dimov, Krassimir Georgiev, I. Uria, Zahari Zlatev:
Treatment of Large Air Pollution Models. WNAA 1996: 66-77 - [c4]Ivan T. Dimov, Aneta Karaivanova:
Iterative Monte Carlo Algorithms for Linear Algebra Problems. WNAA 1996: 150-160 - [c3]Jørgen Brandt, Ivan Dimov, Krassimir Georgiev, Jerzy Wasniewski, Zahari Zlatev:
Coupling the Advection and the Chemical Parts of Large Air Pollution Models. PARA 1996: 65-76 - 1995
- [c2]Ivan Dimov, Krassimir Georgiev, Jerzy Wasniewski, Zahari Zlatev:
Three-Dimensional Version of the Danish Eulerian Model. PARA 1995: 151-157 - [c1]Zahari Zlatev, Ivan Dimov, Krassimir Georgiev, Jerzy Wasniewski:
Parallel Computations with Large Atmospheric Models. PARA 1995: 550-560 - 1994
- [j1]Graham M. Megson, V. N. Aleksandrov, Ivan T. Dimov:
Systolic Matrix Inversion Using a Monte Carlo Method. Parallel Algorithms Appl. 3(3-4): 311-330 (1994)
Coauthor Index
Vassil Alexandrov 0001
aka: Vassil N. Alexandrov
aka: Vassil N. Alexandrov
[j50] [j49] [c101] [c100] [c99] [c98] [j48] [j46] [c97] [c95] [c94] [c93] [c91] [j45] [j44] [c90] [c89] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [c80] [j41] [j40] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c62] [c61] [c58] [c57] [c56] [c55] [c52] [c48]
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