Distributed Control using Shared Input. - Zdravko Karakehayov; Tzvetan Ostromsky (Applied Informatics, 1994)

Two Enhancements in a Partitioned Sparse Code. - Per Christian Hansen; Tzvetan Ostromsky; Zahari Zlatev (PARA, 1994)

A Parallel Sparse QR-Factorization Algorithm. - Tzvetan Ostromsky; Per Christian Hansen; Zahari Zlatev (PARA, 1995)

Locally Optimized Reordering Algorithm and its Application to a Parallel Sparse Linear System Solver. - Kyle A. Gallivan; Per Christian Hansen; Tzvetan Ostromsky; Zahari Zlatev (Computing, 1995)

Using Dense Matrix Computations in the Solution of Sparse Problems. - Tzvetan Ostromsky; Zahari Zlatev (WNAA, 1996)

Parallel Solution of Sparse Problems by Using a Sequence of Large Dense Blocks. - Tzvetan Ostromsky; Stefano Salvini; Jerzy Wasniewski; Zahari Zlatev (PARA, 1996)

Application of Sparse Matrix Techniques in the Chemical Part of a Large Air Pollution Model. - Tzvetan Ostromsky; Zahari Zlatev (LSSC, 1997)

A Coarse-Grained Parallel QR-Factorization Algorithm for Sparse Least Squares Problems. - Tzvetan Ostromsky; Per Christian Hansen; Zahari Zlatev (Parallel Comput., 1998)

Economical Estimation of the Losses of Crops Due to High Ozone Levels. - Ivan Dimov 001; Tzvetan Ostromsky; Ilia Tzvetanov; Zahari Zlatev (LSSC, 1999)

Estimation of the Wheat Losses Caused by the Tropospheric Ozone in Bulgaria and Denmark. - Tzvetan Ostromsky; Ivan Dimov 001; Ilia Tzvetanov; Zahari Zlatev (NAA, 2000)

Computational challenges in large-scale air pollution modelling. - Tzvetan Ostromsky; Wojciech Owczarz; Zahari Zlatev (ICS, 2001)

Parallel Implementation of a Large-Scale 3-D Air Pollution Model. - Tzvetan Ostromsky; Zahari Zlatev (LSSC, 2001)

Flexible Two-Level Parallel Implementations of a Large Air Pollution Model. - Tzvetan Ostromsky; Zahari Zlatev (Numerical Methods and Application, 2002)

Parallel Implementation and One Year Experiments with the Danish Eulerian Model. - Tzvetan Ostromsky; Ivan Dimov 001; Zahari Zlatev (NAA, 2004)

Parallel and GRID Implementation of a Large Scale Air Pollution Model. - Tzvetan Ostromsky; Zahari Zlatev (Numerical Methods and Applications, 2006)

Computational complexity of weighted splitting schemes on parallel computers. - Petra Csomós; Ivan Dimov 001; István Faragó; Ágnes Havasi; Tzvetan Ostromsky (Int. J. Parallel Emergent Distributed Syst., 2007)

Parallel Performance and Scalability Experiments with the Danish Eulerian Model on the EPCC Supercomputers. - Tzvetan Ostromsky; Ivan Dimov 001; Zahari Zlatev (NAA, 2008)

Sensitivity Analysis of a Large-Scale Air Pollution Model: Numerical Aspects and a Highly Parallel Implementation. - Tzvetan Ostromsky; Ivan Dimov 001; Rayna Georgieva; Zahari Zlatev (LSSC, 2009)

Richardson Extrapolated Numerical Methods for Treatment of One-Dimensional Advection Equations. - Zahari Zlatev; Ivan Dimov 001; István Faragó; Krassimir Georgiev; Ágnes Havasi; Tzvetan Ostromsky (NMA, 2010)

Studying the sensitivity of pollutants' concentrations caused by variations of chemical rates. - Ivan Dimov 001; Rayna Georgieva; Sofiya Ivanovska; Tzvetan Ostromsky; Zahari Zlatev (J. Comput. Appl. Math., 2010)

New Parallel Implementation of an Air Pollution Computer Model - Performance Study on an IBM Blue Gene/P Computer. - Krassimir Georgiev; Tzvetan Ostromsky; Zahari Zlatev (LSSC, 2011)

Parallel Computation of Sensitivity Analysis Data for the Danish Eulerian Model. - Tzvetan Ostromsky; Ivan Dimov 001; Rayna Georgieva; Zahari Zlatev (LSSC, 2011)

Variance-Based Sensitivity Analysis of the Unified Danish Eulerian Model According to Variations of Chemical Rates. - Ivan Dimov 001; Rayna Georgieva; Tzvetan Ostromsky; Zahari Zlatev (NAA, 2012)

High Performance Computing of Data for a New Sensitivity Analysis Algorithm, Applied in an Air Pollution Model. - Tzvetan Ostromsky; Ivan Dimov 001; Rayna Georgieva; Pencho Marinov; Zahari Zlatev (NAA, 2012)

Monte Carlo sensitivity analysis of an Eulerian large-scale air pollution model. - Ivan Dimov 001; Rayna Georgieva; Tzvetan Ostromsky (Reliab. Eng. Syst. Saf., 2012)

Advanced algorithms for multidimensional sensitivity studies of large-scale air pollution models based on Sobol sequences. - Ivan Dimov 001; Rayna Georgieva; Tzvetan Ostromsky; Zahari Zlatev (Comput. Math. Appl., 2013)

Application of Richardson extrapolation for multi-dimensional advection equations. - Zahari Zlatev; Ivan Dimov 001; István Faragó; Krassimir Georgiev; Ágnes Havasi; Tzvetan Ostromsky (Comput. Math. Appl., 2014)

Preparing input data for sensitivity analysis of an air pollution model by using high-performance supercomputers and algorithms. - Tzvetan Ostromsky; Ivan Dimov 001; Vassil Alexandrov 001; Zahari Zlatev (Comput. Math. Appl., 2015)

On the Performance, Scalability and Sensitivity Analysis of a Large Air Pollution Model. - Tzvetan Ostromsky; Vassil Alexandrov 001; Ivan Dimov 001; Zahari Zlatev (ICCS, 2016)

Sensitivity Analysis of an Air Pollution Model by Using Quasi-Monte Carlo Algorithms for Multidimensional Numerical Integration. - Tzvetan Ostromsky; Ivan Dimov 001; Venelin Todorov; Zahari Zlatev (NMA, 2018)

Sensitivity Studies of an Air Pollution Model by Using Efficient Stochastic Algorithms for Multidimensional Numerical Integration. - Tzvetan Ostromsky; Venelin Todorov; Ivan Dimov 001; Zahari Zlatev (HPC, 2019)

Advanced Quasi-Monte Carlo Algorithms for Multidimensional Integrals in Air Pollution Modelling. - Venelin Todorov; Ivan Dimov 001; Tzvetan Ostromsky; Zahari Zlatev (HPC, 2019)

Efficient Stochastic Algorithms for the Sensitivity Analysis Problem in the Air Pollution Modelling. - Tzvetan Ostromsky; Venelin Todorov; Ivan Dimov 001; Zahari Zlatev (LSSC, 2019)

Sensitivity Study of a Large-Scale Air Pollution Model by Using Optimized Latin Hyprecube Sampling. - Venelin Todorov; Ivan Dimov 001; Tzvetan Ostromsky; Zahari Zlatev; Rayna Georgieva; Stoyan Poryazov (WCO@FedCSIS, 2020)

Optimized Quasi-Monte Carlo Methods Based on Van der Corput Sequence for Sensitivity Analysis in Air Pollution Modelling. - Venelin Todorov; Ivan Dimov 001; Tzvetan Ostromsky; Zahari Zlatev; Rayna Georgieva; Stoyan Poryazov (WCO@FedCSIS, 2020)

Optimized Quasi-Monte Carlo Method Based on Low Discrepancy Sequences for Sensitivity Analysis in Air Pollution Modelling. - Venelin Todorov; Tzvetan Ostromsky; Ivan Dimov 001; Stefka Fidanova (FedCSIS (Communication Papers), 2020)

Sensitivity Study of a Large-Scale Air Pollution Model by Using Optimized Stochastic Algorithm. - Venelin Todorov; Tzvetan Ostromsky; Ivan Dimov 001; Stefka Fidanova (FedCSIS (Communication Papers), 2020)

Optimized stochastic methods for sensitivity analysis for large-scale air pollution model. - Venelin Todorov; Tzvetan Ostromsky; Ivan Dimov 001; Rayna Georgieva (FedCSIS (Position Papers), 2021)

Sensitivity Study of Large-Scale Air Pollution Model Based on Modifications of the Latin Hypercube Sampling Method. - Tzvetan Ostromsky; Venelin Todorov; Ivan Dimov 001; Rayna Georgieva; Zahari Zlatev; Stoyan Poryazov (LSSC, 2021)

Multidimensional Sensitivity Analysis of an Air Pollution Model Based on Modifications of the van der Corput Sequence. - Venelin Todorov; Ivan Dimov 001; Rayna Georgieva; Tzvetan Ostromsky; Zahari Zlatev; Stoyan Poryazov (LSSC, 2021)

Advanced stochastic approaches for Sobol' sensitivity indices evaluation. - Venelin Todorov; Ivan Dimov 001; Tzvetan Ostromsky; Stoyan Apostolov; Rayna Georgieva; Yuri Dimitrov; Zahari Zlatev (Neural Comput. Appl., 2021)

Performance and Scalability Experiments with a Large-scale Air Pollution Model on the EuroHPC Petascale Supercomputer DISCOVERER. - Tzvetan Ostromsky (FedCSIS (Communication Papers), 2022)

An Optimized Monte Carlo Approach for Multidimensional Integrals Related to Intelligent Systems. - Venelin Todorov; Ivan Dimov 001; Stefka Fidanova; Rayna Georgieva; Tzvetan Ostromsky; Stoyan Poryazov (FedCSIS (Communication Papers), 2022)

Sensitivity Analysis of an Air Pollution Model with Using Innovative Monte Carlo Methods in Calculating Multidimensional Integrals. - Tzvetan Ostromsky; Venelin Todorov; Ivan Dimov 001; Rayna Georgieva (NMA, 2022)

Optimized Stochastic Approaches Based on Sobol Quasirandom Sequences for Fredholm Integral Equations of the Second Kind. - Venelin Todorov; Ivan Dimov 001; Rayna Georgieva; Tzvetan Ostromsky (NMA, 2022)

Optimization, Performance and Scalability Experiments of a Large Air Pollution Model by Using the EuroHPC Petascale Supercomputer DISCOVERER. - Tzvetan Ostromsky (WCO, 2022)

Sensitivity Study of a Large-scale Air Pollution Model on the Bulgarian Petascale Supercomputer Discoverer. - Tzvetan Ostromsky; Ivan Dimov 001; Rayna Georgieva; Venelin Todorov (FedCSIS, 2023)

A Stochastic Optimization Technique for UNI-DEM framework. - Venelin Todorov; Slavi G. Georgiev; Ivan Dimov 001; Tzvetan Ostromsky (FedCSIS, 2023)

Improved Stochastic Lattice Methods for Large-Scale Air Pollution Model. - Venelin Todorov; Slavi G. Georgiev; Ivan Tomov Dimov; Rayna Georgieva; Tzvetan Ostromsky (LSSC, 2023)

Sensitivity Analysis in Air Pollution Modeling Supported by High Performance Supercomputers. - Tzvetan Ostromsky; Silvi-Maria Gurova; Meglena D. Lazarova (FedCSIS (Communication Papers), 2024)