Tzvetan Ostromsky

Publication Activity (10 Years)

Years Active: 1994-2023
Publications (10 Years): 21

Top Topics

Monte Carlo Methods

Stochastic Methods

Sensitivity Analysis

Top Venues

FedCSIS (Communication Papers)

Publications

Venelin Todorov, Slavi G. Georgiev, Ivan Dimov, Tzvetan Ostromsky
A Stochastic Optimization Technique for UNI-DEM framework. FedCSIS (2023)
Venelin Todorov, Slavi G. Georgiev, Ivan Tomov Dimov, Rayna Georgieva, Tzvetan Ostromsky
Improved Stochastic Lattice Methods for Large-Scale Air Pollution Model. LSSC (2023)
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)
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)
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)
Tzvetan Ostromsky
Performance and Scalability Experiments with a Large-scale Air Pollution Model on the EuroHPC Petascale Supercomputer DISCOVERER. FedCSIS (Communication Papers) (2022)
Tzvetan Ostromsky
Optimization, Performance and Scalability Experiments of a Large Air Pollution Model by Using the EuroHPC Petascale Supercomputer DISCOVERER. WCO (2022)
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)
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) (2021)
Venelin Todorov, Tzvetan Ostromsky, Ivan Dimov, Rayna Georgieva
Optimized stochastic methods for sensitivity analysis for large-scale air pollution model. FedCSIS (Position Papers) (2021)
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)
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)
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)
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)
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)
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)
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)
Venelin Todorov, Ivan Dimov, Tzvetan Ostromsky, Zahari Zlatev
Advanced Quasi-Monte Carlo Algorithms for Multidimensional Integrals in Air Pollution Modelling. HPC (2019)
Tzvetan Ostromsky, Venelin Todorov, Ivan Dimov, Zahari Zlatev
Efficient Stochastic Algorithms for the Sensitivity Analysis Problem in the Air Pollution Modelling. LSSC (2019)
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)
Tzvetan Ostromsky, Vassil N. Alexandrov, Ivan Dimov, Zahari Zlatev
On the Performance, Scalability and Sensitivity Analysis of a Large Air Pollution Model. ICCS (2016)
Tzvetan Ostromsky, Ivan Dimov, Vassil N. 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) (2015)
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) (2014)
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) (2013)
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)
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)
Ivan Dimov, Rayna Georgieva, Tzvetan Ostromsky
Monte Carlo sensitivity analysis of an Eulerian large-scale air pollution model. Reliab. Eng. Syst. Saf. 107 (2012)
Tzvetan Ostromsky, Ivan Dimov, Rayna Georgieva, Zahari Zlatev
Parallel Computation of Sensitivity Analysis Data for the Danish Eulerian Model. LSSC (2011)
Krassimir Georgiev, Tzvetan Ostromsky, Zahari Zlatev
New Parallel Implementation of an Air Pollution Computer Model - Performance Study on an IBM Blue Gene/P Computer. LSSC (2011)
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) (2010)
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)
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)
Tzvetan Ostromsky, Ivan Dimov, Zahari Zlatev
Parallel Performance and Scalability Experiments with the Danish Eulerian Model on the EPCC Supercomputers. NAA (2008)
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) (2007)
Tzvetan Ostromsky, Zahari Zlatev
Parallel and GRID Implementation of a Large Scale Air Pollution Model. Numerical Methods and Applications (2006)
Tzvetan Ostromsky, Ivan Dimov, Zahari Zlatev
Parallel Implementation and One Year Experiments with the Danish Eulerian Model. NAA (2004)
Tzvetan Ostromsky, Zahari Zlatev
Flexible Two-Level Parallel Implementations of a Large Air Pollution Model. Numerical Methods and Application (2002)
Tzvetan Ostromsky, Wojciech Owczarz, Zahari Zlatev
Computational challenges in large-scale air pollution modelling. ICS (2001)
Tzvetan Ostromsky, Zahari Zlatev
Parallel Implementation of a Large-Scale 3-D Air Pollution Model. LSSC (2001)
Tzvetan Ostromsky, Ivan Dimov, Ilia Tzvetanov, Zahari Zlatev
Estimation of the Wheat Losses Caused by the Tropospheric Ozone in Bulgaria and Denmark. NAA (2000)
Ivan Dimov, Tzvetan Ostromsky, Ilia Tzvetanov, Zahari Zlatev
Economical Estimation of the Losses of Crops Due to High Ozone Levels. LSSC (1999)
Tzvetan Ostromsky, Per Christian Hansen, Zahari Zlatev
-Factorization Algorithm for Sparse Least Squares Problems. Parallel Comput. 24 (5-6) (1998)
Tzvetan Ostromsky, Zahari Zlatev
Application of Sparse Matrix Techniques in the Chemical Part of a Large Air Pollution Model. LSSC (1997)
Tzvetan Ostromsky, Zahari Zlatev
Using Dense Matrix Computations in the Solution of Sparse Problems. WNAA (1996)
Tzvetan Ostromsky, Stefano Salvini, Jerzy Wasniewski, Zahari Zlatev
Parallel Solution of Sparse Problems by Using a Sequence of Large Dense Blocks. PARA (1996)
Tzvetan Ostromsky, Per Christian Hansen, Zahari Zlatev
-Factorization Algorithm. PARA (1995)
Kyle A. Gallivan, Per Christian Hansen, Tzvetan Ostromsky, Zahari Zlatev
Locally Optimized Reordering Algorithm and its Application to a Parallel Sparse Linear System Solver. Computing 54 (1) (1995)
Per Christian Hansen, Tzvetan Ostromsky, Zahari Zlatev
Two Enhancements in a Partitioned Sparse Code. PARA (1994)
Zdravko Karakehayov, Tzvetan Ostromsky
Distributed Control using Shared Input. Applied Informatics (1994)