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2020 – today
- 2024
[j80]Marcin Los
, Maciej Paszynski:
Parallel shared-memory open-source code for simulations of transient problems using isogeometric analysis, implicit direction splitting and residual minimization (IGA-ADS-RM). Adv. Eng. Softw. 196: 103723 (2024)- [j79]Marcin Skotniczny, Anna Paszynska, Sergio Rojas, Maciej Paszynski:
Complexity of direct and iterative solvers on space-time formulations and time-marching schemes for h-refined grids towards singularities. J. Comput. Sci. 76: 102216 (2024) - [j78]Marcin Los, Leszek Siwik, Maciej Wozniak, Dominik Grybos, Pawel Maczuga, Albert Oliver Serra, Jacek Leszczynski, Maciej Paszynski:
Shock waves generators: From prevention of hail storms to reduction of the smog in urban areas - experimental verification and numerical simulations. J. Comput. Sci. 77: 102238 (2024) - [j77]Maciej Sikora, Patryk Krukowski, Anna Paszynska, Maciej Paszynski:
Comparison of Physics Informed Neural Networks and Finite Element Method Solvers for advection-dominated diffusion problems. J. Comput. Sci. 81: 102340 (2024) - [j76]Sergey V. Kovalchuk, Clélia de Mulatier, Valeria V. Krzhizhanovskaya, Jirí Mikyska, Maciej Paszynski, Jack J. Dongarra, Peter M. A. Sloot:
Computation at the Cutting Edge of Science. J. Comput. Sci. 81: 102379 (2024) - [c68]Lijing Luo, Sergey V. Kovalchuk, Valeria V. Krzhizhanovskaya, Maciej Paszynski, Clélia de Mulatier, Jack J. Dongarra, Peter M. A. Sloot:
Trends in Computational Science: Natural Language Processing and Network Analysis of 23 Years of ICCS Publications. ICCS (2) 2024: 19-33 - [c67]Alicja Niewiadomska, Pawel Maczuga, Albert Oliver Serra, Leszek Siwik, Paulina Sepúlveda-Salas, Anna Paszynska, Maciej Paszynski, Keshav Pingali:
Modeling Tsunami Waves at the Coastline of Valparaiso Area of Chile with Physics Informed Neural Networks. ICCS (2) 2024: 204-218 - [c66]Mateusz Dobija, Anna Paszynska, Carlos Uriarte, Maciej Paszynski:
Accelerating Training of Physics Informed Neural Network for 1D PDEs with Hierarchical Matrices. ICCS (3) 2024: 352-362 - [c65]Mateusz Ksyta, Wojciech Kordylewski, Marcin Los, Piotr Gurgul, Maciej Sikora, Maciej Paszynski:
Fast Simulations in Augmented Reality. ICCS (3) 2024: 453-460 - [e22]Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2024 - 24th International Conference, Malaga, Spain, July 2-4, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14832, Springer 2024, ISBN 978-3-031-63748-3 [contents] - [e21]Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2024 - 24th International Conference, Malaga, Spain, July 2-4, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14833, Springer 2024, ISBN 978-3-031-63753-7 [contents] - [e20]Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2024 - 24th International Conference, Malaga, Spain, July 2-4, 2024, Proceedings, Part III. Lecture Notes in Computer Science 14834, Springer 2024, ISBN 978-3-031-63758-2 [contents] - [e19]Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2024 - 24th International Conference, Malaga, Spain, July 2-4, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 14835, Springer 2024, ISBN 978-3-031-63771-1 [contents] - [e18]Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2024 - 24th International Conference, Malaga, Spain, July 2-4, 2024, Proceedings, Part V. Lecture Notes in Computer Science 14836, Springer 2024, ISBN 978-3-031-63774-2 [contents] - [e17]Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2024 - 24th International Conference, Malaga, Spain, July 2-4, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 14837, Springer 2024, ISBN 978-3-031-63777-3 [contents] - [e16]Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2024 - 24th International Conference, Malaga, Spain, July 2-4, 2024, Proceedings, Part VII. Lecture Notes in Computer Science 14838, Springer 2024, ISBN 978-3-031-63785-8 [contents] - [i21]Marcin Los, Maciej Paszynski:
Robust Physics Informed Neural Networks. CoRR abs/2401.02300 (2024) - [i20]Magdalena Pabisz, Judit Muñoz-Matute, Maciej Paszynski:
Augmenting MRI scan data with real-time predictions of glioblastoma brain tumor evolution using exponential time integrators. CoRR abs/2402.02273 (2024) - [i19]Pawel Maczuga, Marcin Los, Eirik Valseth, Albert Oliver Serra, Leszek Siwik, Elisabete Alberdi Celaya, Anna Paszynska, Maciej Paszynski:
Simulating the aftermath of Northern European Enclosure Dam (NEED) break and flooding of European coast. CoRR abs/2405.02310 (2024) - [i18]Maciej Sikora, Albert Oliver Serra, Leszek Siwik, Natalia Leszczynska, Tomasz Maciej Ciesielski, Eirik Valseth, Jacek Leszczynski, Anna Paszynska, Maciej Paszynski:
Graph grammars and Physics Informed Neural Networks for simulating of pollution propagation on Spitzbergen. CoRR abs/2409.08799 (2024) - 2023
- [j75]Tomasz Sluzalec, Rafal Wojciech Grzeszczuk, Sergio Rojas, Witold Dzwinel, Maciej Paszynski:
Quasi-optimal hp-finite element refinements towards singularities via deep neural network prediction. Comput. Math. Appl. 142: 157-174 (2023) - [j74]Victor M. Calo, Pouria Behnoudfar, Marcin Los, Maciej Paszynski:
A Kronecker product linear-cost solver for the high-order generalized-α method for multi-dimensional hyperbolic systems. Comput. Math. Appl. 142: 257-267 (2023) - [j73]Marcin Los, Maciej Wozniak, Keshav Pingali, Luis E. García-Castillo, Julen Álvarez-Aramberri, David Pardo, Maciej Paszynski:
Fast parallel IGA-ADS solver for time-dependent Maxwell's equations. Comput. Math. Appl. 151: 36-49 (2023) - [j72]Marcin Los, Paulina Sepúlveda, Maciej Sikora, Maciej Paszynski:
Solver algorithm for stabilized space-time formulation of advection-dominated diffusion problem. Comput. Math. Appl. 152: 67-80 (2023) - [j71]Grzegorz Gurgul, Bartosz Balis, Maciej Paszynski:
Cloud-native alternating directions solver for isogeometric analysis. Future Gener. Comput. Syst. 140: 151-172 (2023) - [j70]Marcin Los, Maciej Paszynski:
Stability of non-linear flow in heterogeneous porous media simulations using higher order and continuity basis functions. J. Comput. Appl. Math. 428: 115141 (2023) - [j69]Sergey V. Kovalchuk, Clélia de Mulatier, Derek Groen, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
The computational planet. J. Comput. Sci. 72: 102102 (2023) - [c64]Pawel Maczuga, Maciej Paszynski:
Influence of Activation Functions on the Convergence of Physics-Informed Neural Networks for 1D Wave Equation. ICCS (1) 2023: 74-88 - [c63]Krzysztof Misan, Maciej Kozieja, Marcin Los, Dominik Grybos, Jacek Leszczynski, Pawel Maczuga, Maciej Wozniak, Albert Oliver Serra, Maciej Paszynski:
The First Scientiffic Evidence for the Hail Cannon. ICCS (1) 2023: 177-190 - [c62]Tomasz Sluzalec, Maciej Paszynski:
Fast Solver for Advection Dominated Diffusion Using Residual Minimization and Neural Networks. ICCS (2) 2023: 517-531 - [e15]Jirí Mikyska, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14073, Springer 2023, ISBN 978-3-031-35994-1 [contents] - [e14]Jirí Mikyska, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14074, Springer 2023, ISBN 978-3-031-36020-6 [contents] - [e13]Jirí Mikyska, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14075, Springer 2023, ISBN 978-3-031-36023-7 [contents] - [e12]Jirí Mikyska, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part IV. Lecture Notes in Computer Science 14076, Springer 2023, ISBN 978-3-031-36026-8 [contents] - [e11]Jirí Mikyska, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part V. Lecture Notes in Computer Science 14077, Springer 2023, ISBN 978-3-031-36029-9 [contents] - [i17]Marcin Los, Paulina Sepúlveda-Salas, Maciej Paszynski:
Solver algorithm for stabilized space-time formulation of advection-dominated diffusion problem. CoRR abs/2306.16514 (2023) - [i16]Maciej Sikora, Patryk Krukowski, Anna Paszynska, Maciej Paszynski:
Physics Informed Neural Networks with strong and weak residuals for advection-dominated diffusion problems. CoRR abs/2307.07647 (2023) - [i15]Sergio Rojas, Pawel Maczuga, Judit Muñoz-Matute, David Pardo, Maciej Paszynski:
Robust Variational Physics-Informed Neural Networks. CoRR abs/2308.16910 (2023) - [i14]Pawel Maczuga, Maciej Skoczen, Przemyslaw Roznawski, Filip Tluszcz, Marcin Szubert, Marcin Los, Witold Dzwinel, Keshav Pingali, Maciej Paszynski:
Physics Informed Neural Network Code for 2D Transient Problems (PINN-2DT) Compatible with Google Colab. CoRR abs/2310.03755 (2023) - 2022
- [j68]Maciej Paszynski, Leszek Siwik, Witold Dzwinel, Keshav Pingali:
Supermodeling, a convergent data assimilation meta-procedure used in simulation of tumor progression. Comput. Math. Appl. 113: 214-224 (2022) - [j67]Leszek Siwik, Marcin Los, Adrian Klusek, Anna Paszynska, Keshav Pingali, Witold Dzwinel, Maciej Paszynski:
Tuning three-dimensional tumor progression simulations on a cluster of GPGPUs. J. Comput. Appl. Math. 412: 114308 (2022) - [j66]Sergey V. Kovalchuk, Valeria V. Krzhizhanovskaya, Maciej Paszynski, Dieter Kranzlmüller, Jack J. Dongarra, Peter M. A. Sloot:
Computational science for a better future. J. Comput. Sci. 62: 101745 (2022) - [j65]Pouria Behnoudfar, Victor Manuel Calo, Marcin Los, Pawel Maczuga, Maciej Paszynski:
A variational splitting of high-order linear multistep methods for heat transfer and advection-diffusion parabolic problems. J. Comput. Sci. 63: 101807 (2022) - [j64]Pawel Maczuga, Albert Oliver Serra, Anna Paszynska, Eirik Valseth, Maciej Paszynski:
Graph-grammar based algorithm for asteroid tsunami simulations. J. Comput. Sci. 64: 101856 (2022) - [c61]Krzysztof Misan, Maciej Kozieja, Anna Paszynska, Maciej Paszynski:
Prototype of Cooperative Computational Framework for Incorporating Air Pollution Prognosis in Urban Design. CDVE 2022: 225-230 - [c60]Pawel Maczuga, Maciej Paszynski, Victor M. Calo:
Linear Computational Cost Implicit Variational Splitting Solver with Non-regular Material Data for Parabolic Problems. ICCS (1) 2022: 132-138 - [c59]Krzysztof Misan, Weronika Ormaniec, Adam Kania, Maciej Kozieja, Marcin Los, Dominik Grybos, Jacek Leszczynski, Maciej Paszynski:
Fast Isogeometric Analysis Simulations of a Process of Air Pollution Removal by Artificially Generated Shock Waves. ICCS (3) 2022: 298-311 - [c58]Kamil Doleglo, Maciej Paszynski, Leszek F. Demkowicz:
Deep Neural Networks and Smooth Approximation of PDEs. ICCS (1) 2022: 328-332 - [e10]Derek Groen, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2022 - 22nd International Conference, London, UK, June 21-23, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13350, Springer 2022, ISBN 978-3-031-08750-9 [contents] - [e9]Derek Groen, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2022 - 22nd International Conference, London, UK, June 21-23, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13351, Springer 2022, ISBN 978-3-031-08753-0 [contents] - [e8]Derek Groen, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2022 - 22nd International Conference, London, UK, June 21-23, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13352, Springer 2022, ISBN 978-3-031-08756-1 [contents] - [e7]Derek Groen, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2022 - 22nd International Conference, London, UK, June 21-23, 2022, Proceedings, Part IV. Lecture Notes in Computer Science 13353, Springer 2022, ISBN 978-3-031-08759-2 [contents] - [i13]Kamil Doleglo, Anna Paszynska, Maciej Paszynski, Leszek F. Demkowicz:
Deep neural networks for smooth approximation of physics with higher order and continuity B-spline base functions. CoRR abs/2201.00904 (2022) - [i12]Tomasz Sluzalec, Rafal Wojciech Grzeszczuk, Sergio Rojas, Witold Dzwinel, Maciej Paszynski:
Quasi-optimal hp-finite element refinements towards singularities via deep neural network prediction. CoRR abs/2209.05844 (2022) - [i11]Tomasz Sluzalec, Mateusz Dobija, Anna Paszynska, Ignacio Muga, Maciej Paszynski:
Automatic stabilization of finite-element simulations using neural networks and hierarchical matrices. CoRR abs/2212.12695 (2022) - 2021
- [j63]Barbara Glut, Maciej Paszynski:
Overview of Adaptive and Low-Rank Approximation Algorithms for Modeling of The Influence of Electromagnetic Waves Generated by The Cell Phone Antenna on The Human Head. Comput. Sci. 22(4) (2021) - [j62]Marcin Los, Ignacio Muga, Judit Muñoz-Matute, Maciej Paszynski:
Isogeometric residual minimization (iGRM) for non-stationary Stokes and Navier-Stokes problems. Comput. Math. Appl. 95: 200-214 (2021) - [j61]Krzysztof Podsiadlo, Albert Oliver Serra, Anna Paszynska, Rafael Montenegro, Ian Henriksen, Maciej Paszynski, Keshav Pingali:
Parallel graph-grammar-based algorithm for the longest-edge refinement of triangular meshes and the pollution simulations in Lesser Poland area. Eng. Comput. 37(4): 3857-3880 (2021) - [j60]Marcin Los, Sergio Rojas, Maciej Paszynski, Ignacio Muga, Victor M. Calo:
DGIRM: Discontinuous Galerkin based isogeometric residual minimization for the Stokes problem. J. Comput. Sci. 50: 101306 (2021) - [j59]Sergey V. Kovalchuk, Valeria V. Krzhizhanovskaya, Maciej Paszynski, Gábor Závodszky, Michael Lees, Jack J. Dongarra, Peter M. A. Sloot:
20 years of computational science: Selected papers from 2020 International Conference on Computational Science. J. Comput. Sci. 53: 101395 (2021) - [j58]Maciej Paszynski, Marcin Los:
Higher order and continuity L2 projections with piece-wise constant test functions. J. Comput. Sci. 55: 101442 (2021) - [c57]Maciej Paszynski, Rafal Wojciech Grzeszczuk, David Pardo, Leszek F. Demkowicz:
Deep Learning Driven Self-adaptive Hp Finite Element Method. ICCS (1) 2021: 114-121 - [c56]Albert Mosialek, Andrzej Szaflarski, Rafal Pych, Marek Kisiel-Dorohinicki, Maciej Paszynski, Anna Paszynska:
Graph-Grammar Based Longest-Edge Refinement Algorithm for Three-Dimensional Optimally p Refined Meshes with Tetrahedral Elements. ICCS (4) 2021: 200-213 - [e6]Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2021 - 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12742, Springer 2021, ISBN 978-3-030-77960-3 [contents] - [e5]Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2021 - 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12743, Springer 2021, ISBN 978-3-030-77963-4 [contents] - [e4]Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2021 - 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part III. Lecture Notes in Computer Science 12744, Springer 2021, ISBN 978-3-030-77966-5 [contents] - [e3]Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2021 - 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part IV. Lecture Notes in Computer Science 12745, Springer 2021, ISBN 978-3-030-77969-6 [contents] - [e2]Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2021 - 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part V. Lecture Notes in Computer Science 12746, Springer 2021, ISBN 978-3-030-77976-4 [contents] - [e1]Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2021 - 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part VI. Lecture Notes in Computer Science 12747, Springer 2021, ISBN 978-3-030-77979-5 [contents] - [i10]Marcin Los, Judit Muñoz-Matute, Ignacio Muga, Maciej Paszynski:
Isogeometric Residual Minimization Method (iGRM) with Direction Splitting for Non-Stationary Advection-Diffusion Problems. CoRR abs/2103.04625 (2021) - [i9]Maciej Paszynski, Marcin Los:
Isogeometric Residual Minimization Method (iGRM) with Direction Splitting for Non-Stationary Maxwell Problems. CoRR abs/2103.06998 (2021) - [i8]Marcin Skotniczny, Anna Paszynska, Maciej Paszynski:
Cost of space-time formulations: a study on the performance of direct and iterative solvers on space-time formulations versus time-marching schemes. CoRR abs/2110.05804 (2021) - 2020
- [j57]Grzegorz Gurgul, Marcin Los, Maciej Paszynski, Victor M. Calo:
Linear computational cost implicit solver for parabolic problems. Comput. Sci. 21(1) (2020) - [j56]Marcin Los, Judit Muñoz-Matute, Ignacio Muga, Maciej Paszynski:
Isogeometric Residual Minimization Method (iGRM) with direction splitting for non-stationary advection-diffusion problems. Comput. Math. Appl. 79(2): 213-229 (2020) - [j55]Marcin Los, Pouria Behnoudfar, Maciej Paszynski, Victor M. Calo:
Fast isogeometric solvers for hyperbolic wave propagation problems. Comput. Math. Appl. 80(1): 109-120 (2020) - [j54]Anna Paszynska, Maciej Paszynski:
Computational Costs of Multi-Frontal Direct Solvers with Analysis-Suitable T-Splines. Symmetry 12(12): 2070 (2020) - [c55]Maciej Paszynski, Leszek Siwik, Krzysztof Podsiadlo, Peter D. Minev:
A Massively Parallel Algorithm for the Three-Dimensional Navier-Stokes-Boussinesq Simulations of the Atmospheric Phenomena. ICCS (1) 2020: 102-117 - [c54]Marcin Los, Judit Muñoz-Matute, Krzysztof Podsiadlo, Maciej Paszynski, Keshav Pingali:
Parallel Shared-Memory Isogeometric Residual Minimization (iGRM) for Three-Dimensional Advection-Diffusion Problems. ICCS (7) 2020: 133-148 - [c53]Marcin Los, Sergio Rojas, Maciej Paszynski, Ignacio Muga, Victor M. Calo:
A Stable Discontinuous Galerkin Based Isogeometric Residual Minimization for the Stokes Problem. ICCS (2) 2020: 197-211 - [i7]Marcin Los, Judit Muñoz-Matute, Ignacio Muga, Maciej Paszynski:
Isogeometric Residual Minimization Method (iGRM) for Stokes and Time-Dependent Stokes Problems. CoRR abs/2001.00178 (2020)
2010 – 2019
- 2019
- [j53]Grzegorz Gurgul, Maciej Paszynski:
Object-oriented implementation of the alternating directions implicit solver for isogeometric analysis. Adv. Eng. Softw. 128: 187-220 (2019) - [j52]Maciej Paszynski, Konrad Jopek, Anna Paszynska, Muhammad Amber Hasaan, Keshav Pingali:
Hypergraph grammar based multi-thread multi-frontal direct solver with Galois scheduler. Comput. Sci. 20(1) (2019) - [j51]Adrian Klusek, Marcin Los, Maciej Paszynski, Witold Dzwinel:
Efficient model of tumor dynamics simulated in multi-GPU environment. Int. J. High Perform. Comput. Appl. 33(3) (2019) - [j50]Leszek Siwik, Maciej Wozniak, Marcin Los, Maciej Paszynski:
Fast and green parallel isogeometric analysis computations for multi-objective optimization of liquid fossil fuel reserve exploitation with minimal groundwater contamination. J. Parallel Distributed Comput. 134: 89-103 (2019) - [j49]Leszek Siwik, Maciej Wozniak, Victor Trujillo, David Pardo, Victor Manuel Calo, Maciej Paszynski:
Parallel Refined Isogeometric Analysis in 3D. IEEE Trans. Parallel Distributed Syst. 30(5): 1134-1142 (2019) - [i6]Marcin Los, Quanling Deng, Ignacio Muga, Victor M. Calo, Maciej Paszynski:
Isogeometric Residual Minimization Method (iGRM) with Direction Splitting Preconditoner for Stationary Advection-Diffusion Problems. CoRR abs/1906.06727 (2019) - [i5]Maciej Paszynski:
Isogeometric analysis with piece-wise constant test functions. CoRR abs/1910.08535 (2019) - [i4]Marcin Los, Pouria Behnoudfar, Maciej Paszynski, Victor Manuel Calo:
Fast isogeometric solvers for hyperbolic wave propagation problems. CoRR abs/1911.08158 (2019) - [i3]Leszek Siwik, Marcin Los, Adrian Klusek, Keshav Pingali, Witold Dzwinel, Maciej Paszynski:
Supermodeling of tumor dynamics with parallel isogeometric analysis solver. CoRR abs/1912.12836 (2019) - 2018
- [j48]Marcin Los, Robert Schaefer, Maciej Paszynski:
Parallel space-time hp adaptive discretization scheme for parabolic problems. J. Comput. Appl. Math. 344: 819-835 (2018) - [j47]Maciej Paszynski, Leszek Siwik, Maciej Wozniak:
Concurrency of three-dimensional refined isogeometric analysis. Parallel Comput. 80: 1-22 (2018) - [c52]Hassan AbouEisha, Victor M. Calo, Konrad Jopek, Mikhail Moshkov, Anna Paszynska, Maciej Paszynski:
Bisections-Weighted-by-Element-Size-and-Order Algorithm to Optimize Direct Solver Performance on 3D hp-adaptive Grids. ICCS (2) 2018: 760-772 - [c51]Leszek Siwik, Marcin Los, Adrian Klusek, Witold Dzwinel, Maciej Paszynski:
Tuning two-dimensional tumor growth simulations. SummerSim 2018: 9:1-9:12 - 2017
- [j46]Marcin Los, Maciej Paszynski:
Applications of Alternating Direction Solver for simulations of time-dependent problems. Comput. Sci. 18(2): 117-128 (2017) - [j45]Hassan AbouEisha, Victor Manuel Calo, Konrad Jopek, Mikhail Moshkov, Anna Paszynska, Maciej Paszynski, Marcin Skotniczny:
Element Partition Trees For H-Refined Meshes to Optimize Direct Solver Performance. Part I: Dynamic Programming. Int. J. Appl. Math. Comput. Sci. 27(2): 351 (2017) - [j44]Maciej Wozniak, Marcin Los, Maciej Paszynski, Lisandro Dalcín, Victor Manuel Calo:
Parallel Fast Isogeometric Solvers for Explicit Dynamics. Comput. Informatics 36(2): 423-448 (2017) - [j43]Marcin Los, Maciej Wozniak, Maciej Paszynski, Andrew Lenharth, Muhammad Amber Hassaan, Keshav Pingali:
IGA-ADS: Isogeometric analysis FEM using ADS solver. Comput. Phys. Commun. 217: 99-116 (2017) - [j42]Maciej Paszynski:
Agent-based simulations, adaptive algorithms and solvers. J. Comput. Sci. 18: 57-58 (2017) - [j41]Ignacio Martinez-Fernandez, Maciej Wozniak, Luis E. García-Castillo, Maciej Paszynski:
Mesh-based multi-frontal solver with reuse of partial LU factorizations for antenna array. J. Comput. Sci. 18: 132-142 (2017) - [c50]Aleksander Byrski, Maciej Paszynski, Robert Schaefer, Victor M. Calo, David Pardo:
ICCS 2017 Workshop on Agent-Based Simulations, Adaptive Algorithms and Solvers. ICCS 2017: 796-797 - [c49]Maciej Paszynski, Antônio Tadeu Azevedo Gomes:
A wrapper around parallel MUMPS solver to reduce its memory usage and execution time for finite element method computations. ICCS 2017: 838-847 - [c48]Bartosz Janota, Maciej Paszynski:
Algorithms for construction of Element Partition Trees for Direct Solver executed over h refined grids with B-splines and C0 separators. ICCS 2017: 857-866 - [c47]Witold Dzwinel, Adrian Klusek, Maciej Paszynski:
A concept of a prognostic system for personalized anti-tumor therapy based on supermodeling. ICCS 2017: 1832-1841 - [c46]Luis E. García-Castillo, Ignacio Gómez-Revuelto, Adrian Amor-Martin, Marcin Los, Maciej Paszynski:
Algorithm for simultaneous adaptation and time step iterations for the electromagnetic waves propagation and heating of the human head induced by cell phone. ICCS 2017: 2448-2452 - 2016
- [j40]Piotr Faliszewski, Maciej Smolka, Robert Schaefer, Maciej Paszynski:
On the Computational Cost and Complexity of Stochastic Inverse Solvers. Comput. Sci. 17(2): 225-264 (2016) - [j39]Maciej Wozniak, Maciej Paszynski:
Application of projection-based interpolation algorithm for non-stationary problem. Comput. Sci. 17(3): 297-320 (2016) - [j38]Pawel Piotr Lipski, Maciej Paszynski:
One-dimensional fully automatic h-adaptive isogeometric finite element method package. Comput. Sci. 17(4): 439-460 (2016) - [c45]Maciej Wozniak, Maciej Smolka, Adriano M. A. Côrtes, Maciej Paszynski, Robert Schaefer:
Scalability of Direct Solver for Non-stationary Cahn-hilliard Simulations with Linearized Time Integration Scheme. ICCS 2016: 834-844 - [c44]Hassan AbouEisha, Konrad Jopek, Bartlomiej Medygral, Szymon Nosek, Mikhail Ju. Moshkov, Anna Paszynska, Maciej Paszynski, Keshav Pingali:
Hybrid Direct and Iterative Solver with Library of Multi-criteria Optimal Orderings for h Adaptive Finite Element Method Computations. ICCS 2016: 865-874 - 2015
- [j37]Piotr Gurgul, Maciej Paszynski, Anna Paszynska:
Hypergrammar Based Parallel Multi-frontal Solver for Grids with Point singularities. Comput. Sci. 16(1): 75-102 (2015) - [j36]Maciej Smolka, Robert Schaefer, Maciej Paszynski, David Pardo, Julen Álvarez-Aramberri:
An Agent-Oriented Hierarchic Strategy for Solving Inverse Problems. Int. J. Appl. Math. Comput. Sci. 25(3): 483-498 (2015) - [j35]Maciej Smolka, Ewa Gajda-Zagórska, Robert Schaefer, Maciej Paszynski, David Pardo:
A hybrid method for inversion of 3D AC resistivity logging measurements. Appl. Soft Comput. 36: 442-456 (2015) - [j34]Arkadiusz Szymczak, Maciej Paszynski, David Pardo, Anna Paszynska:
Petri Nets Modeling of Dead-End Refinement Problems in a 3D Anisotropic hp-Adaptive Finite Element Method. Comput. Informatics 34(2): 425-457 (2015) - [j33]Maciej Paszynski, David Pardo, Victor M. Calo:
Direct solvers performance on h-adapted grids. Comput. Math. Appl. 70(3): 282-295 (2015) - [j32]David Pardo, Julen Álvarez-Aramberri, Maciej Paszynski, Lisandro Dalcín, Victor M. Calo:
Impact of element-level static condensation on iterative solver performance. Comput. Math. Appl. 70(10): 2331-2341 (2015) - [j31]Iwona Ryszka, Anna Paszynska, Ewa Grabska, Marcin Sieniek, Maciej Paszynski:
Graph Transformation Systems for Modeling Three Dimensional Finite Element Method. Part I. Fundam. Informaticae 140(2): 129-172 (2015) - [j30]Iwona Ryszka, Anna Paszynska, Ewa Grabska, Marcin Sieniek, Maciej Paszynski:
Graph Transformation Systems for Modeling Three Dimensional Finite Element Method. Part II. Fundam. Informaticae 140(2): 173-203 (2015) - [j29]Maciej Paszynski:
Agent-based simulations, adaptive algorithms and solvers. J. Comput. Sci. 11: 121-122 (2015) - [j28]Robert Schaefer, Marcin Los, Marcin Sieniek, Leszek F. Demkowicz, Maciej Paszynski:
Quasi-linear computational cost adaptive solvers for three dimensional modeling of heating of a human head induced by cell phone. J. Comput. Sci. 11: 163-174 (2015) - [j27]Ewa Gajda-Zagórska, Robert Schaefer, Maciej Smolka, Maciej Paszynski, David Pardo:
A hybrid method for inversion of 3D DC resistivity logging measurements. Nat. Comput. 14(3): 355-374 (2015) - [j26]Anna Paszynska, Maciej Paszynski, Konrad Jopek, Maciej Wozniak, Damian Goik, Piotr Gurgul, Hassan AbouEisha, Mikhail Moshkov, Victor Manuel Calo, Andrew Lenharth, Donald Nguyen, Keshav Pingali:
Quasi-Optimal Elimination Trees for 2D Grids with Singularities. Sci. Program. 2015: 303024:1-303024:18 (2015) - [c43]Marcin Los, Maciej Wozniak, Maciej Paszynski, Lisandro Dalcín, Victor M. Calo:
Dynamics with Matrices Possessing Kronecker Product Structure. ICCS 2015: 286-295 - [c42]Hassan AbouEisha, Mikhail Ju. Moshkov, Konrad Jopek, Pawel Gepner, Jacek Kitowski, Maciej Paszynski:
Towards Green Multi-frontal Solver for Adaptive Finite Element Method. ICCS 2015: 984-993 - [c41]Robert Schaefer, Maciej Smolka, Lisandro Dalcín, Maciej Paszynski:
A New time Integration Scheme for Cahn-hilliard Equations. ICCS 2015: 1003-1012 - [c40]Pawel Piotr Lipski, Maciej Wózniak, Maciej Paszynski:
Comparison of the Structure of Equation Systems and the GPU Multifrontal Solver for Finite Difference, Collocation and Finite Element Method. ICCS 2015: 1072-1081 - [c39]Anna Paszynska, Konrad Jopek, Krzysztof Banas, Maciej Paszynski, Piotr Gurgul, Andrew Lenerth, Donald Nguyen, Keshav Pingali, Lisandro Dalcín, Victor M. Calo:
Telescopic Hybrid Fast Solver for 3D Elliptic Problems with Point Singularities. ICCS 2015: 2744-2748 - [c38]Pawel Jerzy Matuszyk, Marcin Sieniek, Maciej Paszynski:
Fully Automatic 2D hp-adaptive Finite Element Method for Non-stationary Heat Transfer. ICCS 2015: 2883-2887 - 2014
- [j25]Barbara Barabasz, Ewa Gajda-Zagórska, Stanislaw Migórski, Maciej Paszynski, Robert Schaefer, Maciej Smolka:
A hybrid algorithm for solving inverse problems in elasticity. Int. J. Appl. Math. Comput. Sci. 24(4): 865-886 (2014) - [j24]Maciej Wozniak, Krzysztof Kuznik, Maciej Paszynski, Victor M. Calo, David Pardo:
Computational cost estimates for parallel shared memory isogeometric multi-frontal solvers. Comput. Math. Appl. 67(10): 1864-1883 (2014) - [c37]Hassan AbouEisha, Mikhail Moshkov, Victor M. Calo, Maciej Paszynski, Damian Goik, Konrad Jopek:
Dynamic Programming Algorithm for Generation of Optimal Elimination Trees for Multi-frontal Direct Solver Over H-refined Grids. ICCS 2014: 947-959 - [c36]Damian Goik, Konrad Jopek, Maciej Paszynski, Andrew Lenharth, Donald Nguyen, Keshav Pingali:
Graph Grammar based Multi-thread Multi-frontal Direct Solver with Galois Scheduler. ICCS 2014: 960-969 - [c35]Damian Goik, Marcin Sieniek, Maciej Wozniak, Anna Paszynska, Maciej Paszynski:
Hypergraph Grammar based Adaptive Linear Computational Cost Projection Solvers for Two and Three Dimensional Modeling of Brain. ICCS 2014: 1002-1013 - [c34]Piotr Gurgul, Anna Paszynska, Maciej Paszynski:
Hypergraph Grammar based Linear Computational Cost Solver for Three Dimensional Grids with Point Singularities. ICCS 2014: 1078-1089 - 2013
- [j23]Piotr Gurgul, Marcin Sieniek, Maciej Paszynski, Lukasz Madej, Nathan O. Collier:
Two-dimensional HP-adaptive Algorithm for Continuous Approximations of Material Data Using Space Projection. Comput. Sci. 14(1): 97-112 (2013) - [j22]Krzysztof Wróbel, Pawel Torba, Maciej Paszynski, Aleksander Byrski:
Evolutionary Multi-Agent Computing in Inverse Problems. Comput. Sci. 14(3): 367-384 (2013) - [j21]Krzysztof Kuznik, Maciej Paszynski, Victor M. Calo:
Grammar Based Multi-frontal Solver for Isogeometric Analysis in 1D. Comput. Sci. 14(4): 589-614 (2013) - [j20]Ewa Gajda-Zagórska, Maciej Paszynski, Robert Schaefer, David Pardo:
hp-HGS strategy for inverse AC/DC resistivity logging measurement simulations. Comput. Sci. 14(4): 629-644 (2013) - [j19]Barbara Strug, Anna Paszynska, Maciej Paszynski, Ewa Grabska:
Using a graph grammar system in the finite element method. Int. J. Appl. Math. Comput. Sci. 23(4): 839-853 (2013) - [j18]Maciej Paszynski, David Pardo, Victor M. Calo:
A direct solver with reutilization of LU factorizations for hh-adaptive finite element grids with point singularities. Comput. Math. Appl. 65(8): 1140-1151 (2013) - [j17]Maciej Paszynski, Krzysztof Cetnarowicz, Robert Schaefer, David Pardo, Victor M. Calo:
Preface. J. Comput. Sci. 4(3): 125-126 (2013) - [j16]Arkadiusz Szymczak, Anna Paszynska, Maciej Paszynski, David Pardo:
Preventing deadlock during anisotropic 2D mesh adaptation in hp-adaptive FEM. J. Comput. Sci. 4(3): 170-179 (2013) - [c33]Damian Goik, Marcin Sieniek, Maciej Paszynski, Lukasz Madej:
Employing an Adaptive Projection-Based Interpolation to Prepare Discontinuous 3D Material Data for Finite Element Analysis. ICCS 2013: 1535-1544 - [c32]Krzysztof Kuznik, Maciej Paszynski, Victor M. Calo:
Grammar-Based Multi-Frontal Solver for One Dimensional Isogeometric Analysis with Multiple Right-Hand-Sides. ICCS 2013: 1574-1583 - [c31]Arkadiusz Szymczak, Anna Paszynska, Piotr Gurgul, Maciej Paszynski:
Graph Grammar Based Direct Solver for Hp-adaptive Finite Element Method with Point Singularities. ICCS 2013: 1594-1603 - [c30]Hassan AbouEisha, Piotr Gurgul, Anna Paszynska, Maciek Paszynski, Krzysztof Kuznik, Mikhail Moshkov:
An Automatic Way of Finding Robust Elimination Trees for a Multi-frontal Sparse Solver for Radical 2D Hierarchical Meshes. PPAM (2) 2013: 531-540 - 2012
- [j15]Anna Paszynska, Ewa Grabska, Maciej Paszynski:
A Graph Grammar Model of the hp Adaptive Three Dimensional Finite Element Method. Part I. Fundam. Informaticae 114(2): 149-182 (2012) - [j14]Anna Paszynska, Ewa Grabska, Maciej Paszynski:
A Graph Grammar Model of the hp Adaptive Three Dimensional Finite Element Method. Part II. Fundam. Informaticae 114(2): 183-201 (2012) - [c29]Ewa Gajda-Zagórska, Maciej Paszynski, Robert Schaefer, David Pardo, Victor M. Calo:
hp-HGS strategy for inverse 3D DC resistivity logging measurement simulations. ICCS 2012: 927-936 - [c28]Anna Paszynska, Maciej Paszynski, Arkadiusz Szymczak, David Pardo:
Petri Nets for Detecting a 3D Deadlock Problem in Hp-adaptive Finite Element Simulations. ICCS 2012: 1434-1443 - [c27]Krzysztof Kuznik, Maciej Paszynski, Victor M. Calo:
Graph Grammar-Based Multi-Frontal Parallel Direct Solver for Two-Dimensional Isogeometric Analysis. ICCS 2012: 1454-1463 - [c26]Julen Álvarez-Aramberri, David Pardo, Maciej Paszynski, Nathan O. Collier, Lisandro Dalcín, Victor M. Calo:
On Round-off Error for Adaptive Finite Element Methods. ICCS 2012: 1474-1483 - [p1]Maciej Paszynski, Anna Paszynska, Robert Schaefer:
Graph Grammar Based Model for Three Dimensional Multi-physics Simulations. Advances in Intelligent Modelling and Simulation 2012: 299-324 - [i2]Nathan O. Collier, David Pardo, Maciej Paszynski, Victor M. Calo:
Computational complexity and memory usage for multi-frontal direct solvers in structured mesh finite elements. CoRR abs/1204.1718 (2012) - [i1]Maciej Paszynski, Victor M. Calo, David Pardo:
A direct solver with reutilization of previously-computed LU factorizations for h-adaptive finite element grids with point singularities. CoRR abs/1212.1992 (2012) - 2011
- [j13]Maciej Paszynski:
Convergence of iterative Solvers for non-Linear Step-and-Flash imprint lithography Simulations. Comput. Sci. 12: 63-84 (2011) - [j12]Maciej Paszynski, Tomasz Jurczyk, David Pardo:
Multi-frontal Solver for Simulations of Linear Elasticity coupled with Acoustics. Comput. Sci. 12: 85-102 (2011) - [c25]Marcin Sieniek, Piotr Gurgul, Maciej Paszynski:
Application of Agent-based Approach for Multiscale hp-adaptive Finite Element Method. CISIS 2011: 458-461 - [c24]Victor M. Calo, David Pardo, Maciej Paszynski:
Goal-Oriented Self-Adaptive hp Finite Element Simulation of 3D DC Borehole Resistivity Simulations. ICCS 2011: 1485-1495 - [c23]Maciej Paszynski, David Pardo, Anna Paszynska, Leszek F. Demkowicz:
Out-of-core multi-frontal solver for multi-physics hp adaptive problems. ICCS 2011: 1788-1797 - [c22]Arkadiusz Szymczak, Anna Paszynska, Maciej Paszynski, David Pardo:
Anisotropic 2D mesh adaptation in hp-adaptive FEM. ICCS 2011: 1818-1827 - [c21]Marcin Sieniek, Piotr Gurgul, Marcin Skotniczny, Krzysztof Magiera, Maciej Paszynski:
Agent-oriented image processing with the hp-adaptive projection-based interpolation operator. ICCS 2011: 1844-1853 - [c20]Victor M. Calo, Nathan O. Collier, David Pardo, Maciej Paszynski:
Computational complexity and memory usage for multi-frontal direct solvers used in p finite element analysis. ICCS 2011: 1854-1861 - 2010
- [j11]Arkadiusz Szymczak, Maciej Paszynski, David Pardo:
Graph Grammar Based Petri Net Controlled Direct Solver Algorithm. Comput. Sci. 11: 65-80 (2010) - [j10]Maciej Paszynski:
H-Relation Personalized Communication Strategy. Comput. Sci. 11: 81-98 (2010) - [j9]Maciej Paszynski, Robert Schaefer:
Graph grammar-driven parallel partial differential equation solver. Concurr. Comput. Pract. Exp. 22(9): 1063-1097 (2010) - [j8]Maciej Paszynski, David Pardo, Anna Paszynska:
Parallel multi-frontal solver for p adaptive finite element modeling of multi-physics computational problems. J. Comput. Sci. 1(1): 48-54 (2010) - [j7]Maciej Paszynski, David Pardo, Carlos Torres-Verdín, Leszek F. Demkowicz, Victor M. Calo:
A parallel direct solver for the self-adaptive hp Finite Element Method. J. Parallel Distributed Comput. 70(3): 270-281 (2010) - [c19]Krzysztof Cetnarowicz, Maciej Paszynski, David Pardo, Tibor Bosse, Han La Poutré:
Agent-based computing, adaptive algorithms and bio computing. ICCS 2010: 1951-1952 - [c18]Marcin Sieniek, Piotr Gurgul, Pawel Kolodziejczyk, Maciej Paszynski:
Agent-based parallel system for numerical computations. ICCS 2010: 1971-1981 - [c17]Maciej Paszynski, David Pardo, Anna Paszynska:
Parallel multi-frontal solver for multi-physics p adaptive problems. ICCS 2010: 1983-1992 - [c16]Pawel Obrok, Pawel Pierzchala, Arkadiusz Szymczak, Maciej Paszynski:
Graph grammar-based multi-thread multi-frontal parallel solver with trace theory-based scheduler. ICCS 2010: 1993-2001
2000 – 2009
- 2009
- [j6]Anna Paszynska, Maciej Paszynski:
Application of a Hierarchical Chromosome Based Genetic Algorithm to the Problem of Finding Optimal Initial Meshes for the Self-Adaptive hp-FEM. Comput. Informatics 28(2): 209-223 (2009) - [j5]Maciej Paszynski:
On the Parallelization of Self-Adaptive hp-Finite Element Methods Part I. Composite Programmable Graph GrammarModel. Fundam. Informaticae 93(4): 411-434 (2009) - [j4]Maciej Paszynski:
On the Parallelization of Self-Adaptive hp-Finite Element Methods Part II. Partitioning Communication Agglomeration Mapping (PCAM) Analysis. Fundam. Informaticae 93(4): 435-457 (2009) - [c15]Robert Schaefer, Barbara Barabasz, Maciej Paszynski:
Solving inverse problems by the multi-deme hierarchic genetic strategy. IEEE Congress on Evolutionary Computation 2009: 3157-3163 - [c14]Arkadiusz Szymczak, Maciej Paszynski:
Graph Grammar Based Petri Nets Model of Concurrency for Self-adaptive hp-Finite Element Method with Triangular Elements. ICCS (2) 2009: 845-854 - [c13]Anna Paszynska, Maciej Paszynski, Ewa Grabska:
Graph Transformations for Modeling hp-Adaptive Finite Element Method with Mixed Triangular and Rectangular Elements. ICCS (2) 2009: 875-884 - [c12]Barbara Barabasz, Robert Schaefer, Maciej Paszynski:
Handling Ambiguous Inverse Problems by the Adaptive Genetic Strategy hp-HGS. ICCS (2) 2009: 904-913 - [c11]Arkadiusz Szymczak, Maciej Paszynski:
Graph Grammar Based Petri Nets Model of Concurrency for Self-adaptive hp-Finite Element Method with Rectangular Elements. PPAM (1) 2009: 95-104 - 2008
- [c10]Maciej Paszynski:
Parallel Direct Solver for hp Finite Element Method Controlled by Composite Programmable Graph Grammar. Artificial Intelligence and Pattern Recognition 2008: 187-194 - [c9]Krzysztof Cetnarowicz, Robert Schaefer, Bojin Zheng, Maciej Paszynski, Bartlomiej Sniezynski:
Intelligent Agents and Evolvable Systems. ICCS (3) 2008: 533-534 - [c8]Anna Paszynska, Maciej Paszynski, Ewa Grabska:
Graph Transformations for Modeling hp-Adaptive Finite Element Method with Triangular Elements. ICCS (3) 2008: 604-613 - [c7]Maciej Paszynski, Robert Schaefer:
Reutilization of Partial LU Factorizations for Self-adaptive hpFinite Element Method Solver. ICCS (1) 2008: 965-974 - 2007
- [j3]Maciej Paszynski, Leszek F. Demkowicz:
Parallel, fully automatic hp-adaptive 3D finite element package. Eng. Comput. 23(3): 241 (2007) - [c6]Maciej Paszynski, Barbara Barabasz, Robert Schaefer:
Efficient Adaptive Strategy for Solving Inverse Problems. International Conference on Computational Science (1) 2007: 342-349 - [c5]Maciej Paszynski:
Agents Based Hierarchical Parallelization of Complex Algorithms on the Example of hp Finite Element Method. International Conference on Computational Science (2) 2007: 912-919 - [c4]Maciej Paszynski:
Performance of Multi Level Parallel Direct Solver for hpFinite Element Method. PPAM 2007: 1303-1312 - [c3]Maciej Paszynski, Anna Paszynska:
Graph Transformations for Modeling Parallel hp-Adaptive Finite Element Method. PPAM 2007: 1313-1322 - 2006
- [j2]Maciej Paszynski, Leszek F. Demkowicz:
Parallel, fully automatic hp-adaptive 3D finite element package. Eng. Comput. 22(3-4): 255-276 (2006) - [j1]David Pardo, Leszek F. Demkowicz, Carlos Torres-Verdín, Maciej Paszynski:
Two-Dimensional High-Accuracy Simulation of Resistivity Logging-While-Drilling (LWD) Measurements Using a Self-Adaptive Goal-Oriented hp Finite Element Method. SIAM J. Appl. Math. 66(6): 2085-2106 (2006) - [c2]Maciej Paszynski:
The Application of Agents to Parallel Mesh Refinements in Domain Decomposition Based Parallel Fully Automatic hp Adaptive Finite Element Codes. International Conference on Computational Science (3) 2006: 751-758 - [c1]Maciej Paszynski, David Pardo, Leszek F. Demkowicz, Carlos Torres-Verdín:
Parallel hp-Finite Element Simulations of 3D Resistivity Logging Instruments. CE 2006: 635-642
Coauthor Index
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