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Andrew Pownuk
Andrew Pownuk
University of Texas at El Paso
Verified email at pownuk.com - Homepage
Title
Cited by
Cited by
Year
Linear systems with large uncertainties, with applications to truss structures
A Neumaier, A Pownuk
Reliable Computing 13 (2), 149-172, 2007
1582007
Analysis of linear mechanical structures with uncertainties by means of interval methods
Z Kulpa, A Pownuk, I Skalna
Computer Assisted Methods in Engineering and Science 5 (4), 443-477, 2023
902023
Efficient method of solution of large scale engineering problems with interval parameters
A Pownuk
Proc. NSF workshop on reliable engineering computing, 2004
472004
Systems of fuzzy equations in structural mechanics
I Skalna, MVR Rao, A Pownuk
Journal of computational and Applied Mathematics 218 (1), 149-156, 2008
432008
Transient response of structures with uncertain structural parameters
MVR Rao, A Pownuk, S Vandewalle, D Moens
Structural safety 32 (6), 449-460, 2010
412010
Numerical solutions of fuzzy partial differential equations and its applications in computational mechanics
A Pownuk
Fuzzy Partial Differential Equations and Relational Equations: Reservoir …, 2004
272004
Optimization of mechanical structures using interval analysis
A Pownuk
Computer Assisted Mechanics and Engineering Sciences 7 (4), 699-706, 2000
182000
From interval computations to constraint-related set computations: towards faster estimation of statistics and odes under interval, p-box, and fuzzy uncertainty
M Ceberio, V Kreinovich, A Pownuk, B Bede
Novel Developments in Granular Computing: Applications for Advanced Human …, 2010
122010
General interval FEM program based on sensitivity analysis
A Pownuk
NSF workshop on Reliable Engineering Computing, 397-428, 2008
122008
Why linear interpolation?
A Pownuk, V Kreinovich
Математические структуры и моделирование, 43-49, 2017
112017
Calculation of displacement in elastic and elastic-plastic structures with interval parameters
A Pownuk
33rd Solid Mechanics Conference, Zakopane, Poland, 160-161, 2000
102000
In system identification, interval (and fuzzy) estimates can lead to much better accuracy than the traditional statistical ones: General algorithm and case study
SI Kumkov, V Kreinovich, A Pownuk
2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017
92017
Von Mises failure criterion in mechanics of materials: how to efficiently use it under interval and fuzzy uncertainty
G Xiang, A Pownuk, O Kosheleva, SA Starks
NAFIPS 2007-2007 Annual Meeting of the North American Fuzzy Information …, 2007
92007
Calculating risk of cost using Monte Carlo simulations with fuzzy parameters in civil engineering
ML BETKOWSKI, A POWNUK
risk 10, 6, 2004
82004
Modelling of heat transfer in biological tissue by interval FEM
M Jasiński, A Pownuk
Computer Assisted Mechanics and Engineering Sciences 7 (4), 551-558, 2000
82000
Combining interval and probabilistic uncertainty: what is computable?
V Kreinovich, A Pownuk, O Kosheleva
Advances in Stochastic and Deterministic Global Optimization, 13-32, 2016
72016
A global optimisation method for computing interval hull solution for parametric linear systems
I Skalna, A Pownuk
International Journal of Reliability and Safety 3 (1-3), 235-245, 2009
72009
On using global optimization method for approximating interval hull solution of parametric linear systems
I Skalna, A Pownuk
Proceedings of NSF workshop on Reliable Engineering Computing (REC 2008 …, 2008
72008
Calculation of the extreme values of displacements in truss structures with interval parameters
A Pownuk
72004
Granular approach to data processing under probabilistic uncertainty
A Pownuk, V Kreinovich
Granular Computing 6, 489-505, 2021
62021
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