Tzvetan Ostromsky

发表

Improving the numerical stability and the performance of a parallel sparse solver

P. Hansen, Z. Zlatev, H. Wijshoff, 1995 .

A comparison of advanced quasi Monte Carlo methods for multidimensional integrals in air pollution modeling

Tzvetan Ostromsky, I. Dimov, V. Todorov, 2020 .

Sensitivity studies of pollutant concentrations calculated by the UNI-DEM with respect to the input emissions

Z. Zlatev, Tzvetan Ostromsky, I. Dimov, 2013 .

Monte Carlo methods for sensitivity studies of large-scale air pollution model

Tzvetan Ostromsky, I. Dimov, V. Todorov, 2020 .

Impact of Climate Changes on Pollution Levels in Europe Final Report NATO Project CLG 980505

Z. Zlatev, S. Margenov, Tzvetan Ostromsky, 2006 .

APPLICATION OF RICHARDSON EXTRAPOLATION WITH THE CRANK – NICOLSON SCHEME FOR MULTI-DIMENSIONAL ADVECTION

Z. Zlatev, Tzvetan Ostromsky, I. Dimov, 2013 .

Solving Advection Equations by Applying the Crank-Nicolson Scheme Combined with the Richardson Extrapolation

Z. Zlatev, Tzvetan Ostromsky, I. Dimov, 2011 .

SOLVING SPARSE LINEAR LEAST SQUARESPROBLEMS ON SOME SUPERCOMPUTERSBY USING A SEQUENCE OF LARGE DENSEBLOCKSP

Tzvetan Ostromsky, .. Hansen, 1997 .

Adaptive Monte Carlo Algorithm for Sensitivity Studies of Eulerian Large-scale Air Pollution Models

Tzvetan Ostromsky, I. Dimov, R. Georgieva, 2010 .

Computational Challenges in the Numerical Treatment of Large Air Pollution Models

Z. Zlatev, K. Georgiev, Z. Zlatev, 2001 .

Calculating losses of crops in Denmark caused by high ozone levels

Z. Zlatev, A. Bastrup-Birk, Z. Zlatev, 2001 .

An Optimized Monte Carlo Approach for Multidimensional Integrals Related to Intelligent Systems

Tzvetan Ostromsky, I. Dimov, R. Georgieva, 2022, FedCSIS.

Advanced stochastic approaches for Sobol’ sensitivity indices evaluation

Z. Zlatev, Tzvetan Ostromsky, I. Dimov, 2020, Neural Computing and Applications.

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

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

A Parallel Sparse QR-Factorization Algorithm

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

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

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

Reordering of Sparse Matrices for Parallel Processing

P. Hansen, Z. Zlatev, Tzvetan Ostromsky, 1994 .

Solving sparse linear least-squares problems on some supercomputers by using large dense blocks

Zahari Zlatev, Per Christian Hansen, Ahmed Sameh, 1997 .

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.

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

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

Parallel and GRID Implementation of a Large Scale Air Pollution Model

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

Parallel Implementation and One Year Experiments with the Danish Eulerian Model

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

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

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

Computational challenges in large-scale air pollution modelling

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

Traces of palaeoseismic activity in Lednika Cave, Western Rhodopes Mts, South Bulgaria

Tzvetan Ostromsky, K. Kostov, 2021, Review of the Bulgarian Geological Society.

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

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

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.

Efficient stochastic approaches for sensitivity studies of an Eulerian large-scale air pollution model

Rayna Georgieva, Venelin Todorov, Ivan Dimov, 2017 .

Computational complexity of weighted splitting schemes on parallel computers

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

Challenges in Using Splitting Techniques for Large-Scale Environmental Modeling

Zahari Zlatev, Tzvetan Ostromsky, Ivan Dimov, 2005 .

Application of Richardson extrapolation for multi-dimensional advection equations

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

Optimized Quasi-Monte Carlo Methods Based on Van der Corput Sequence for Sensitivity Analysis in Air Pollution Modelling

Z. Zlatev, Tzvetan Ostromsky, I. Dimov, 2021, WCO@FedCSIS.

Air pollution modelling, sensitivity analysis and parallel implementation

Zahari Zlatev, Rayna Georgieva, Tzvetan Ostromsky, 2011 .

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..