Parameter identification in a probabilistic setting BV Rosić, A Kučerová, J Sýkora, O Pajonk, A Litvinenko, HG Matthies Engineering Structures 50, 179-196, 2013 | 126 | 2013 |
Sampling-free linear Bayesian update of polynomial chaos representations BV Rosić, A Litvinenko, O Pajonk, HG Matthies Journal of Computational Physics 231 (17), 5761-5787, 2012 | 93 | 2012 |
A deterministic filter for non-Gaussian Bayesian estimation—applications to dynamical system estimation with noisy measurements O Pajonk, BV Rosić, A Litvinenko, HG Matthies Physica D: Nonlinear Phenomena 241 (7), 775-788, 2012 | 84 | 2012 |
Inverse problems in a Bayesian setting HG Matthies, E Zander, BV Rosić, A Litvinenko, O Pajonk Computational Methods for Solids and Fluids: Multiscale Analysis …, 2016 | 80 | 2016 |
Parametric and uncertainty computations with tensor product representations HG Matthies, A Litvinenko, O Pajonk, BV Rosić, E Zander Uncertainty Quantification in Scientific Computing: 10th IFIP WG 2.5 Working …, 2012 | 43 | 2012 |
Ensemble-based water flooding optimization applied to mature fields O Pajonk, R Schulze-Riegert, M Krosche, H Mustafa, M Nwakile SPE Middle East Oil and Gas Show and Conference, SPE-142621-MS, 2011 | 28 | 2011 |
Data assimilation coupled to evolutionary algorithms—A case example in history matching R Schulze-Riegert, M Krosche, O Pajonk, H Mustafa SPE Reservoir Characterisation and Simulation Conference and Exhibition …, 2009 | 27 | 2009 |
Sampling-free linear Bayesian updating of model state and parameters using a square root approach O Pajonk, BV Rosić, HG Matthies Computers & Geosciences 55, 70-83, 2013 | 26 | 2013 |
Direct Bayesian update of polynomial chaos representations BV Rosic, A Litvinenko, O Pajonk, HG Matthies Journal of Computational Physics, 2011 | 25 | 2011 |
Strategic scope of alternative optimization methods in history matching and prediction workflows R Schulze-Riegert, F Chataigner, N Kueck, O Pajonk, J Baffoe, I Ajala, ... SPE Middle East Oil and Gas Show and Conference, SPE-164337-MS, 2013 | 21 | 2013 |
Comparison of numerical approaches to Bayesian updating B Rosić, J Sýkora, O Pajonk, A Kučerová, HG Matthies Computational Methods for Solids and Fluids: Multiscale Analysis …, 2016 | 18 | 2016 |
Overview of system identification with focus on inverse modeling O Pajonk Institute of scientific computing, Technical University of Braunschweig, 2009 | 12 | 2009 |
Hybrid optimization coupling EnKF and evolutionary algorithms for history matching: a case example R Schulze-Riegert, M Krosche, O Pajonk SPE Europec featured at EAGE Conference and Exhibition?, SPE-121965-MS, 2009 | 11 | 2009 |
Stochastic Optimization Using EA and EnKF–A Comparison O Pajonk, M Krosche, R Schulze-Riegert, R Niekamp, HG Matthies ECMOR XI-11th European Conference on the Mathematics of Oil Recovery, cp-62 …, 2008 | 8 | 2008 |
Stochastic spectral methods for linear Bayesian inference O Pajonk Dissertation, Braunschweig, Technische Universität Braunschweig, 2012 | 5 | 2012 |
Overview of System Identification with Focus on Inverse Modeling: Literature Review O Pajonk | 4 | 2009 |
A software component based parallel simulation and optimization environment for reservoir simulation M Krosche, JK Axmann, O Pajonk, R Schulze-Riegert, O Haase | 4 | 2005 |
Inverse problems in a Bayesian setting, Computational Methods for Solids and Fluids Multiscale Analysis, Probability Aspects and Model Reduction Editors: Ibrahimbegovic, Adnan … H Matthies, E Zander, O Pajonk, B Rosic, A Litvinenko Springer, 2016 | 3 | 2016 |
Stochastic setting for inverse identification problems. Report to workshop numerical methods for PDE constrained optimization with uncertain data HG Matthies, A Litvinenko, BV Rosic, A Kucerová, J Sýkora, O Pajonk Report, 2013 | 2 | 2013 |
A Deterministic Filter for non‐Gaussian State Estimation O Pajonk, BV Rosić, A Litvinenko, HG Matthies PAMM 11 (1), 703-704, 2011 | 2 | 2011 |