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Chris L. Pettit
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Journal Articles
- 2021
- [j7]Rimple Sandhu, Mohammad Khalil, Chris L. Pettit, Dominique Poirel, Abhijit Sarkar:
Nonlinear sparse Bayesian learning for physics-based models. J. Comput. Phys. 426: 109728 (2021) - 2017
- [j6]Sergey N. Vecherin, D. Keith Wilson, Chris L. Pettit:
Optimisation of numbers, types, and locations of wireless sensors with communication, finite supply, and multiple-sensor coverage constraints. Int. J. Sens. Networks 23(4): 222-232 (2017) - [j5]D. Keith Wilson, Carl R. Hart, Chris L. Pettit, Daniel J. Breton, Edward T. Nykaza, Vladimir E. Ostashev:
Scattered signal distributions, parametric uncertainties, and Bayesian sequential updating. Proc. Meet. Acoust. 31(1) (2017) - 2016
- [j4]Rimple Sandhu, Dominique Poirel, Chris L. Pettit, Mohammad Khalil, Abhijit Sarkar:
Bayesian inference of nonlinear unsteady aerodynamics from aeroelastic limit cycle oscillations. J. Comput. Phys. 316: 534-557 (2016) - 2011
- [j3]Sergey N. Vecherin, D. Keith Wilson, Chris L. Pettit:
Optimal sensor placement with signal propagation effects and inhomogeneous coverage preferences. Int. J. Sens. Networks 9(2): 107-120 (2011) - 2010
- [j2]Fulvio Tonon, Chris L. Pettit:
Toward a definition and understanding of correlation for variables constrained by random relations. Int. J. Gen. Syst. 39(6): 577-604 (2010) - 2006
- [j1]Philip S. Beran, Chris L. Pettit, Daniel R. Millman:
Uncertainty quantification of limit-cycle oscillations. J. Comput. Phys. 217(1): 217-247 (2006)
Conference and Workshop Papers
- 2012
- [c1]Kenneth K. Yamamoto, Sergey N. Vecherin, D. Keith Wilson, Christian T. Borden, Elizabeth Bettencourt, Chris L. Pettit:
General software for multimodal signal modeling and optimal sensor placement: Environmental Awareness for Sensor and Emitter Employment (EASEE). ICCST 2012: 66-77
Informal and Other Publications
- 2023
- [i5]Nastaran Dabiran, Brandon Robinson, Rimple Sandhu, Mohammad Khalil, Chris L. Pettit, Dominique Poirel, Abhijit Sarkar:
Exploring hierarchical framework of nonlinear sparse Bayesian learning algorithm through numerical investigations. CoRR abs/2310.14749 (2023) - 2022
- [i4]Ajit Desai, Mohammad Khalil, Chris L. Pettit, Dominique Poirel, Abhijit Sarkar:
Domain Decomposition of Stochastic PDEs: Development of Probabilistic Wirebasket-based Two-level Preconditioners. CoRR abs/2208.10713 (2022) - [i3]Philippe Bisaillon, Brandon Robinson, Mohammad Khalil, Chris L. Pettit, Dominique Poirel, Abhijit Sarkar:
Robust Bayesian state and parameter estimation framework for stochastic dynamical systems with combined time-varying and time-invariant parameters. CoRR abs/2210.08730 (2022) - [i2]Rimple Sandhu, Brandon Robinson, Mohammad Khalil, Chris L. Pettit, Dominique Poirel, Abhijit Sarkar:
Encoding nonlinear and unsteady aerodynamics of limit cycle oscillations using nonlinear sparse Bayesian learning. CoRR abs/2210.11476 (2022) - [i1]Sandip Chajjed, Mohammad Khalil, Dominique Poirel, Chris L. Pettit, Abhijit Sarkar:
Probabilistic Prediction of Coalescence Flutter Using Measurements: Application to the Flutter Margin Method. CoRR abs/2210.15667 (2022)
Coauthor Index
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