Tzvetan Ostromsky

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Parallel Solution of Sparse Problems by Using a Sequence of Large Dense Blocks

Zahari Zlatev, Tzvetan Ostromsky, Stefano Salvini, 1996, PARA.

Application of Sparse Matrix Techniques in the Chemical Part of a Large Air Pollution Model

Zahari Zlatev, Tzvetan Ostromsky, 1997, LSSC.

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

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

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..

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

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

Two Enhancements in a Partitioned Sparse Code

Zahari Zlatev, Per Christian Hansen, Tzvetan Ostromsky, 1994, PARA.

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

Zahari Zlatev, Tzvetan Ostromsky, Ivan Tomov Dimov, 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.

A Coarse-Grained Parallel QR-Factorization Algorithm for Sparse Least Squares Problems

Zahari Zlatev, Per Christian Hansen, Tzvetan Ostromsky, 1998, Parallel Comput..

Parallel Computation of Sensitivity Analysis Data for the Danish Eulerian Model

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

Computational challenges in large-scale air pollution modelling

Zahari Zlatev, Tzvetan Ostromsky, Wojciech Owczarz, 2001, ICS '01.

A Parallel Sparse QR-Factorization Algorithm

Zahari Zlatev, Per Christian Hansen, Tzvetan Ostromsky, 1995, PARA.

Computational complexity of weighted splitting schemes on parallel computers

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

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.

Air pollution modelling, sensitivity analysis and parallel implementation

Zahari Zlatev, Rayna Georgieva, Tzvetan Ostromsky, 2011 .

A locally optimized reordering algorithm and its application to a parallel sparse linear system solver

Zahari Zlatev, Per Christian Hansen, Tzvetan Ostromsky, 1995, Computing.

Application of Richardson extrapolation for multi-dimensional advection equations

Zahari Zlatev, Tzvetan Ostromsky, Krassimir Georgiev, 2014, Comput. Math. Appl..

Parallel Implementation of a Large-Scale 3-D Air Pollution Model

Zahari Zlatev, Tzvetan Ostromsky, 2001, LSSC.

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

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

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.

Distributed Control using Shared Input

Tzvetan Ostromsky, Zdravko Karakehayov, 1994, Applied Informatics.

New Parallel Implementation of an Air Pollution Computer Model - Performance Study on an IBM Blue Gene/P Computer

Zahari Zlatev, Tzvetan Ostromsky, Krassimir Georgiev, 2011, 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.

Flexible Two-Level Parallel Implementations of a Large Air Pollution Model

Zahari Zlatev, Tzvetan Ostromsky, Z. Zlatev, 2002, Numerical Methods and Application.

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..

Parallel and GRID Implementation of a Large Scale Air Pollution Model

Zahari Zlatev, Tzvetan Ostromsky, Z. Zlatev, 2006, Numerical Methods and Applications.

Using Dense Matrix Computations in the Solution of Sparse Problems

Zahari Zlatev, Tzvetan Ostromsky, 1996, WNAA.

Advanced stochastic approaches for Sobol’ sensitivity indices evaluation

Zahari Zlatev, Rayna Georgieva, Tzvetan Ostromsky, 2020, Neural Computing and Applications.

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

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

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

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

Challenges in Using Splitting Techniques for Large-Scale Environmental Modeling

Zahari Zlatev, Tzvetan Ostromsky, Ivan Dimov, 2005 .

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

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

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

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

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

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