Ivan Tomov Dimov

发表

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

Rayna Georgieva, Ivan Tomov Dimov, Venelin Todorov, 2014, NMA.

Numerical algorithms for scientific and engineering applications

Zahari Zlatev, Svetozar Margenov, Ivan Tomov Dimov, 2016, Journal of Computational and Applied Mathematics.

An Improved Monte Carlo Algorithm for Elastic Electron Backscattering from Surfaces

Ivan Tomov Dimov, Emanouil I. Atanassov, Mariya K. Durchova, 2001, LSSC.

A sensitivity study of the Wigner Monte Carlo method

Ivan Tomov Dimov, Jean Michel D. Sellier, 2015, J. Comput. Appl. Math..

Variance-Based Sensitivity Analysis of the Unified Danish Eulerian Model According to Variations of Chemical Rates

Zahari Zlatev, Rayna Georgieva, Tzvetan Ostromsky, 2012, NAA.

Exact Error Estimates and Optimal Randomized Algorithms for Integration

Ivan Tomov Dimov, Emanouil I. Atanassov, 2006, Numerical Methods and Applications.

The many-body Wigner Monte Carlo method for time-dependent ab-initio quantum simulations

Ivan Tomov Dimov, Jean Michel D. Sellier, 2014, J. Comput. Phys..

Parallel Hybrid Monte Carlo Algorithms for Matrix Computations

Ivan Tomov Dimov, Vassil N. Alexandrov, Emanouil I. Atanassov, 2005, International Conference on Computational Science.

High Performance Computing of Data for a New Sensitivity Analysis Algorithm, Applied in an Air Pollution Model

Zahari Zlatev, Rayna Georgieva, Tzvetan Ostromsky, 2012, NAA.

Monte Carlo sensitivity analysis of an Eulerian large-scale air pollution model

Rayna Georgieva, Tzvetan Ostromsky, Ivan Tomov Dimov, 2012, Reliab. Eng. Syst. Saf..

Studying the sensitivity of pollutants' concentrations caused by variations of chemical rates

Zahari Zlatev, Rayna Georgieva, Tzvetan Ostromsky, 2010, J. Comput. Appl. Math..

Selecting Explicit Runge-Kutta Methods with Improved Stability Properties

Zahari Zlatev, Ivan Tomov Dimov, Krassimir Georgiev, 2015, LSSC.

Influence of climatic changes on pollution levels in the Balkan Peninsula

Zahari Zlatev, Ivan Tomov Dimov, Krassimir Georgiev, 2013, Comput. Math. Appl..

Modeling of Carrier Transport in Nanowires

Ivan Tomov Dimov, Emanouil I. Atanassov, Todor V. Gurov, 2007, International Conference on Computational Science.

Monte Carlo Numerical Treatment of Large Linear Algebra Problems

Ivan Tomov Dimov, Vassil N. Alexandrov, Christian Weihrauch, 2007, International Conference on Computational Science.

Absolute Stability and Implementation of the Two-Times Repeated Richardson Extrapolation Together with Explicit Runge-Kutta Methods

Zahari Zlatev, Ivan Tomov Dimov, Krassimir Georgiev, 2018, FDM.

Preparing input data for sensitivity analysis of an air pollution model by using high-performance supercomputers and algorithms

Zahari Zlatev, Tzvetan Ostromsky, Ivan Tomov Dimov, 2015, Comput. Math. Appl..

On randomization of neural networks as a form of post-learning strategy

Ivan Tomov Dimov, Kristina G. Kapanova, Jean Michel D. Sellier, 2015, Soft Comput..

On the Performance, Scalability and Sensitivity Analysis of a Large Air Pollution Model

Zahari Zlatev, Tzvetan Ostromsky, Ivan Tomov Dimov, 2016, ICCS.

A New Quasi-Monte Carlo Algorithm for Numerical Integration of Smooth Functions

Ivan Tomov Dimov, Emanouil I. Atanassov, Mariya K. Durchova, 2003, LSSC.

An Optimal Monte Carlo Algorithm for a Class of Multidimensional Integrals

Stefka Fidanova, Ivan Tomov Dimov, Venelin Todorov, 2020, FedCSIS.

Estimation of the Wheat Losses Caused by the Tropospheric Ozone in Bulgaria and Denmark

Zahari Zlatev, Tzvetan Ostromsky, Ivan Tomov Dimov, 2000, NAA.

Second Order Shifted Approximations for the First Derivative

Ivan Tomov Dimov, Venelin Todorov, Yuri Dimitrov, 2019, HPC.

Treatment of Large Air Pollution Models

Zahari Zlatev, Ivan Tomov Dimov, Krassimir Georgiev, 1996, WNAA.

Stability Properties of Explicit Runge-Kutta Methods Combined with Richardson Extrapolation

Zahari Zlatev, Ivan Tomov Dimov, Krassimir Georgiev, 2013, LSSC.

Three-Dimensional Version of the Danish Eulerian Model

Zahari Zlatev, Jerzy Wasniewski, Ivan Tomov Dimov, 1995, PARA.

A Grid Free Monte Carlo Algorithm for Solving Elliptic Boundary Value Problems

Ivan Tomov Dimov, Todor V. Gurov, Paula A. Whitlock, 2000, NAA.

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

Zahari Zlatev, Tzvetan Ostromsky, Ivan Tomov Dimov, 2019, HPC.

Mixed initial-boundary value problem in particle modeling of microelectronic devices

Dragica Vasileska, Ivan Tomov Dimov, Mihail Nedjalkov, 2007, Monte Carlo Methods Appl..

Parallel Monte Carlo Sampling Scheme for Sphere and Hemisphere

Ivan Tomov Dimov, Anton A. Penzov, Stanislava S. Stoilova, 2006, Numerical Methods and Applications.

Special section: Applications of distributed and grid computing

Zahari Zlatev, Jack J. Dongarra, Jerzy Wasniewski, 2008, Future generations computer systems.

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

Ivan Tomov Dimov, Venelin Todorov, Stoyan Dimitrov, 2016, NAA.

A Backward Monte Carlo Method for Simulation of the Electron Quantum Kinetics in Semiconductors

Siegfried Selberherr, Ivan Tomov Dimov, Mihail Nedjalkov, 2001, VLSI Design.

Parallel Computation of Sensitivity Analysis Data for the Danish Eulerian Model

Zahari Zlatev, Rayna Georgieva, Tzvetan Ostromsky, 2011, LSSC.

Stochastic Formulation of Newton's Acceleration

Rayna Georgieva, Siegfried Selberherr, Ivan Tomov Dimov, 2013, LSSC.

Computational complexity of weighted splitting schemes on parallel computers

Tzvetan Ostromsky, Ivan Tomov Dimov, István Faragó, 2007, Int. J. Parallel Emergent Distributed Syst..

Parallel Quasi-Monte Carlo Methods for Linear Algebra Problems

Ivan Tomov Dimov, Emanouil I. Atanassov, V. Alexandov, 2004, Monte Carlo Methods Appl..

Studying absolute stability properties of the Richardson Extrapolation combined with explicit Runge-Kutta methods

Zahari Zlatev, Ivan Tomov Dimov, Krassimir Georgiev, 2014, Comput. Math. Appl..

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

Stefka Fidanova, Tzvetan Ostromsky, Ivan Tomov Dimov, 2020, FedCSIS.

Economical Estimation of the Losses of Crops Due to High Ozone Levels

Zahari Zlatev, Tzvetan Ostromsky, Ivan Tomov Dimov, 1999, LSSC.

A New Optimized Adaptive Approach for Estimation of the Wigner Kernel

Stefka Fidanova, Ivan Tomov Dimov, Venelin Todorov, 2020, 2020 15th Conference on Computer Science and Information Systems (FedCSIS).

Stability Properties of Repeated Richardson Extrapolation Applied Together with Some Implicit Runge-Kutta Methods

Zahari Zlatev, Ivan Tomov Dimov, Krassimir Georgiev, 2018, FDM.

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

Stefka Fidanova, Ivan Tomov Dimov, Venelin Todorov, 2020, FedCSIS.

Monte Carlo and Quasi-Monte Carlo Algorithms for the Barker-Ferry Equation with Low Complexity

Ivan Tomov Dimov, Todor V. Gurov, Paula A. Whitlock, 2002, Numerical Methods and Application.

A new optimal Monte Carlo method for calculating integrals of smooth functions

Ivan Tomov Dimov, Emanouil I. Atanassov, I. Dimov, 1999, Monte Carlo Methods Appl..

A Monte Carlo Approach for the Cook-Torrance Model

Ivan Tomov Dimov, Todor V. Gurov, Anton A. Penzov, 2004, NAA.

A Splitting Numerical Method for Primary and Secondary Pollutant Models

Lubin G. Vulkov, Ivan Tomov Dimov, Tatiana P. Chernogorova, 2015, LSSC.

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

Lubin G. Vulkov, Ivan Tomov Dimov, Venelin Todorov, 2017, LSSC.

Parallel Performance and Scalability Experiments with the Danish Eulerian Model on the EPCC Supercomputers

Zahari Zlatev, Tzvetan Ostromsky, Ivan Tomov Dimov, 2009, NAA.

A new weighted Monte Carlo algorithm for elastic electron backscattering from surfaces

Ivan Tomov Dimov, Emanouil I. Atanassov, Alain Dubus, 2003, Math. Comput. Simul..

A neural network sensitivity analysis in the presence of random fluctuations

Ivan Tomov Dimov, Jean Michel D. Sellier, K. G. Kapanova, 2017, Neurocomputing.

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

Zahari Zlatev, Tzvetan Ostromsky, Ivan Tomov Dimov, 2018, NMA.

Parallel Implementation and One Year Experiments with the Danish Eulerian Model

Zahari Zlatev, Tzvetan Ostromsky, Ivan Tomov Dimov, 2004, NAA.

A genetic approach to automatic neural network architecture optimization

Ivan Tomov Dimov, Jean Michel D. Sellier, K. G. Kapanova, 2018, Neural Computing and Applications.

Phonon-Induced Decoherence in Electron Evolution

Siegfried Selberherr, Ivan Tomov Dimov, Mihail Nedjalkov, 2011, LSSC.

A Quasi-Monte Carlo Method for Integration with Improved Convergence

Ivan Tomov Dimov, Aneta Karaivanova, Sofiya Ivanovska, 2001, LSSC.

Efficient Stochastic Approaches for Multidimensional Integrals in Bayesian Statistics

Ivan Tomov Dimov, Venelin Todorov, 2019, LSSC.

Coupling the Advection and the Chemical Parts of Large Air Pollution Models

Zahari Zlatev, Jerzy Wasniewski, Ivan Tomov Dimov, 1996, PARA.

Efficient numerical methods for large-scale scientific computations: Introduction

Zahari Zlatev, Ivan Lirkov, Ivan Tomov Dimov, 2016, J. Comput. Appl. Math..

Monte Carlo Adaptive Technique for Sensitivity Analysis of a Large-Scale Air Pollution Model

Rayna Georgieva, Ivan Tomov Dimov, 2009, LSSC.

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

Stefka Fidanova, Tzvetan Ostromsky, Ivan Tomov Dimov, 2020, FedCSIS.

Studying the Influence of Climate Changes on European Ozone Levels

Zahari Zlatev, Ivan Tomov Dimov, Krassimir Georgiev, 2019, LSSC.

A Wigner Monte Carlo approach to density functional theory

Ivan Tomov Dimov, Jean Michel D. Sellier, 2014, J. Comput. Phys..

On the simulation of indistinguishable fermions in the many-body Wigner formalism

Ivan Tomov Dimov, Jean Michel D. Sellier, 2015, J. Comput. Phys..

Testing the Sensitivity of Air Pollution Levels to Variations of Some Chemical Rate Constants

Zahari Zlatev, Ivan Tomov Dimov, 1997, LSSC.

Monte Carlo Method for Numerical Integration Based on Sobol's Sequences

Rayna Georgieva, Ivan Tomov Dimov, 2010, NMA.

A Parallel Monte Carlo Method for Electron Quantum Kinetic Equation

Ivan Tomov Dimov, Todor V. Gurov, T. Gurov, 2003, LSSC.

Molecular descriptors and quasi-distribution functions

Ivan Tomov Dimov, Jean Michel D. Sellier, D. Y. Ivanova, 2015, Comput. Math. Appl..

Advanced algorithms for multidimensional sensitivity studies of large-scale air pollution models based on Sobol sequences

Zahari Zlatev, Rayna Georgieva, Tzvetan Ostromsky, 2013, Comput. Math. Appl..

Stability of the Richardson Extrapolation combined with some implicit Runge-Kutta methods

Zahari Zlatev, Ivan Tomov Dimov, Krassimir Georgiev, 2017, J. Comput. Appl. Math..

Stochastic Algorithm for Solving the Wigner-Boltzmann Correction Equation

Siegfried Selberherr, Ivan Tomov Dimov, Mihail Nedjalkov, 2010, NMA.

Long-Range Transport of Air Pollutants and Source-Receptor Relation

Zahari Zlatev, Ivan Tomov Dimov, Krassimir Georgiev, 1997, LSSC.

A benchmark study of the Wigner Monte Carlo method

Siegfried Selberherr, Ivan Tomov Dimov, Jean Michel D. Sellier, 2014, Monte Carlo Methods Appl..

A New Optimized Stochastic Approach for Multiple Integrals in Option Pricing

Stefka Fidanova, Ivan Tomov Dimov, Venelin Todorov, 2020, FedCSIS.

Sensitivity Analysis of a Large-Scale Air Pollution Model: Numerical Aspects and a Highly Parallel Implementation

Zahari Zlatev, Rayna Georgieva, Tzvetan Ostromsky, 2009, LSSC.

A New Optimized Stochastic Approach for Multidimensional Integrals in Machine Learning

Stefka Fidanova, Ivan Tomov Dimov, Venelin Todorov, 2020, 2020 15th Conference on Computer Science and Information Systems (FedCSIS).

Sensitivity Analysis of Design Parameters for Silicon Diodes

Rayna Georgieva, Ivan Tomov Dimov, Jean Michel D. Sellier, 2014, NMA.

A New Class of Grid-Free Monte Carlo Algorithms for Elliptic Boundary Value Problems

Ivan Tomov Dimov, Todor V. Gurov, R. J. Papancheva, 2002, Numerical Methods and Application.

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

Zahari Zlatev, Tzvetan Ostromsky, Ivan Tomov Dimov, 2019, LSSC.

On the Wigner Monte Carlo method coupled to pseudopotential models

Ivan Tomov Dimov, Jean Michel D. Sellier, Rosangela F. Sviercoski, 2016, J. Comput. Appl. Math..

A Collaborative Working Environment for a Large Scale Environmental Model

Ivan Tomov Dimov, Cihan Sahin, Vassil N. Alexandrov, 2007, LSSC.

Analysis of the Monte Carlo Image Creation by Uniform Separation

László Szirmay-Kalos, Ivan Tomov Dimov, Anton A. Penzov, 2009, LSSC.

Implementation of Monte Carlo Algorithms for Eigenvalue Problem Using MPI

Ivan Tomov Dimov, Vassil N. Alexandrov, Aneta Karaivanova, 1998, PVM/MPI.

Comparison of the Computational Cost of a Monte Carlo and Deterministic Algorithm for Computing Bilinear Forms of Matrix Powers

Ivan Tomov Dimov, Vassil N. Alexandrov, Simon Branford, 2006, International Conference on Computational Science.

Error Analysis of a Monte Carlo Algorithm for Computing Bilinear Forms of Matrix Powers

Ivan Tomov Dimov, Vassil N. Alexandrov, Simon Branford, 2006, International Conference on Computational Science.

Parallel Monte Carlo Approach for Integration of the Rendering Equation

Ivan Tomov Dimov, Anton A. Penzov, Stanislava S. Stoilova, 2006, Numerical Methods and Applications.

Using Advanced Mathematical Tools in Complex Studies Related to Climate Changes and High Pollution Levels

Zahari Zlatev, Ivan Tomov Dimov, Krassimir Georgiev, 2017, LSSC.

Stochastic analysis of surface roughness models in quantum wires

Toufik Sadi, A. Asenov, Siegfried Selberherr, 2018, Comput. Phys. Commun..

The Role of Annihilation in a Wigner Monte Carlo Approach

Siegfried Selberherr, Ivan Tomov Dimov, Jean Michel D. Sellier, 2013, LSSC.

Parallel Importance Separation and Adaptive Monte Carlo Algorithms for Multiple Integrals

Rayna Georgieva, Ivan Tomov Dimov, Aneta Karaivanova, 2002, Numerical Methods and Application.

Diaphony of Uniform Samples over Hemisphere and Sphere

Ivan Tomov Dimov, Stanislava S. Stoilova, N. Mitev, 2008, NAA.

Parallel computations of eigenvalues based on a Monte Carlo approach

Ivan Tomov Dimov, Aneta Karaivanova, 1998, Monte Carlo Methods Appl..

Parallel Computations with Large Atmospheric Models

Zahari Zlatev, Jerzy Wasniewski, Ivan Tomov Dimov, 1995, PARA.

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

Zahari Zlatev, Tzvetan Ostromsky, Ivan Tomov Dimov, 2019, HPC.

Femtosecond Evolution of Spatially Inhomogeneous Carrier Excitations Part II: Stochastic Approach and Grid Implementation

Ivan Tomov Dimov, Emanouil I. Atanassov, Todor V. Gurov, 2005, LSSC.

A New Monte Carlo Algorithm for Linear Algebraic Systems Based on the “Walk on Equations” Algorithm

Rayna Georgieva, Ivan Tomov Dimov, Venelin Todorov, 2018, 2018 Federated Conference on Computer Science and Information Systems (FedCSIS).

Numerical Analysis of a Pollution and Environment Interaction Model

Lubin G. Vulkov, Ivan Tomov Dimov, Venelin Todorov, 2018, NMA.

Monte Carlo methods for matrix computations on the grid

Ivan Tomov Dimov, Cihan Sahin, Vassil N. Alexandrov, 2008, Future Gener. Comput. Syst..

Monte Carlo algorithms for evaluating Sobol' sensitivity indices

Rayna Georgieva, Ivan Tomov Dimov, I. Dimov, 2010, Math. Comput. Simul..

Richardson Extrapolated Numerical Methods for Treatment of One-Dimensional Advection Equations

Zahari Zlatev, Tzvetan Ostromsky, Ivan Tomov Dimov, 2010, NMA.

Complexity of Monte Carlo Algorithms for a Class of Integral Equations

Rayna Georgieva, Ivan Tomov Dimov, I. Dimov, 2007, International Conference on Computational Science.

A comparison of approaches for the solution of the Wigner equation

Siegfried Selberherr, Ivan Tomov Dimov, Jean Michel D. Sellier, 2015, Mathematics and Computers in Simulation.

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

Ivan Tomov Dimov, Venelin Todorov, Stoyan Poryazov, 2021, ICICT.

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

Rayna Georgieva, Tzvetan Ostromsky, Ivan Tomov Dimov, 2021, FedCSIS.

Optimized lattice rule and adaptive approach for multidimensional integrals with applications

Stefka Fidanova, Ivan Tomov Dimov, Venelin Todorov, 2021, FedCSIS.

An Optimized Technique for Wigner Kernel Estimation

Stefka Fidanova, Ivan Tomov Dimov, Venelin Todorov, 2021, 2021 16th Conference on Computer Science and Intelligence Systems (FedCSIS).

Optimized stochastic approach for integral equations

Rayna Georgieva, Stefka Fidanova, Ivan Tomov Dimov, 2021, 2021 16th Conference on Computer Science and Intelligence Systems (FedCSIS).