default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Journal Articles
- 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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)
Conference and Workshop Papers
- 2024
- [c102]Stefka Fidanova, Ivan Dimov, Denitsa Angelova:
Ant Colony Optimization for Planting Vegetables and Annual Fruit Crops. MDIS 2024: 49-59 - 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
- [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
- [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 - 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 - 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 - 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
- [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 - 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
- [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 - 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
- [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 - 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 - 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 - 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
- [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
- [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
- [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
- [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 - 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
- [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 - 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
- [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
- [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
Editorship
- 2021
- [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] - 2019
- [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] - 2017
- [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] - 2015
- [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] - 2013
- [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] - 2011
- [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] - 2003
- [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]
Informal and Other Publications
- 2015
- [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)
Coauthor Index
Vassil Alexandrov 0001
aka: Vassil N. Alexandrov
aka: Vassil N. Alexandrov
[j50] [j49] [j48] [j46] [j45] [j44] [j41] [j40] [c101] [c100] [c99] [c98] [c97] [c95] [c94] [c93] [c91] [c90] [c89] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c62] [c61] [c58] [c57] [c56] [c55] [c52] [c48]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-05-28 20:32 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
