Journal articles on the topic 'Stochastic inverse modeling'
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Hestir, Kevin, Stephen J. Martel, Stacy Vail, Jane Long, Pete D'Onfro, and William D. Rizer. "Inverse hydrologic modeling using stochastic growth algorithms." Water Resources Research 34, no. 12 (December 1998): 3335–47. http://dx.doi.org/10.1029/98wr01549.
Full textHohenegger, Christel, and M. Gregory Forest. "Direct and inverse modeling for stochastic passive microbead rheology." PAMM 7, no. 1 (December 2007): 1110505–6. http://dx.doi.org/10.1002/pamm.200700640.
Full textPonski, Mariusz, and Andrzej Sluzalec. "Modeling and Simulation of Stochastic Inverse Problems in Viscoplasticity." Transactions of the Indian Institute of Metals 72, no. 10 (June 27, 2019): 2803–17. http://dx.doi.org/10.1007/s12666-019-01757-2.
Full textBoluh, Kateryna, and Natalija Shchestyuk. "Simulating Stochastic Diffusion Processes and Processes with “Market” Time." Mohyla Mathematical Journal 3 (January 29, 2021): 25–30. http://dx.doi.org/10.18523/2617-70803202025-30.
Full textPreziosi, L., G. Teppati, and N. Bellomo. "Modeling and solution of stochastic inverse problems in mathematical physics." Mathematical and Computer Modelling 16, no. 5 (May 1992): 37–51. http://dx.doi.org/10.1016/0895-7177(92)90118-5.
Full textAbou-Elyazied Abdallh, Ahmed, and Luc Dupré. "Stochastic modeling error reduction using Bayesian approach coupled with an adaptive Kriging-based model." COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 33, no. 3 (April 29, 2014): 856–67. http://dx.doi.org/10.1108/compel-10-2012-0230.
Full textLlopis-Albert, Carlos, Francisco Rubio, and Francisco Valero. "Characterization and assessment of composite materials via inverse finite element modeling." Multidisciplinary Journal for Education, Social and Technological Sciences 6, no. 2 (October 3, 2019): 1. http://dx.doi.org/10.4995/muse.2019.12374.
Full textHan, S. L., and Takeshi Kinoshita. "Stochastic inverse modeling of nonlinear roll damping moment of a ship." Applied Ocean Research 39 (January 2013): 11–19. http://dx.doi.org/10.1016/j.apor.2012.09.003.
Full textLlopis-Albert, Carlos, Francisco Rubio, Francisco Valero, Hunchang Liao, and Shouzhen Zeng. "Stochastic inverse finite element modeling for characterization of heterogeneous material properties." Materials Research Express 6, no. 11 (October 23, 2019): 115806. http://dx.doi.org/10.1088/2053-1591/ab4c72.
Full textLi, Liangping, Sanjay Srinivasan, Haiyan Zhou, and J. Jaime Gómez-Hernández. "A local–global pattern matching method for subsurface stochastic inverse modeling." Environmental Modelling & Software 70 (August 2015): 55–64. http://dx.doi.org/10.1016/j.envsoft.2015.04.008.
Full textHu, Zhi Gang, Yong Lin Zhang, Jian Ping Ye, Shao Yun Song, and Li Ping Chen. "Numerical Modeling and Simulation of Random Road Surface Using IFFT Method." Advanced Materials Research 199-200 (February 2011): 999–1004. http://dx.doi.org/10.4028/www.scientific.net/amr.199-200.999.
Full textBenth, F. E., and L. Vos. "Cross-Commodity Spot Price Modeling with Stochastic Volatility and Leverage For Energy Markets." Advances in Applied Probability 45, no. 2 (June 2013): 545–71. http://dx.doi.org/10.1239/aap/1370870129.
Full textBenth, F. E., and L. Vos. "Cross-Commodity Spot Price Modeling with Stochastic Volatility and Leverage For Energy Markets." Advances in Applied Probability 45, no. 02 (June 2013): 545–71. http://dx.doi.org/10.1017/s0001867800006431.
Full textButko, A. A., O. I. Rodkin, and V. A. Pashinski. "Stochastic modeling of meteorological elements for solving environmental monitoring problems." Vesnik of Yanka Kupala State University of Grodno. Series 6. Engineering Science 12, no. 1 (September 9, 2022): 51–64. http://dx.doi.org/10.52275/2223-5396-2022-12-1-51-64.
Full textAzevedo, Leonardo, Dario Grana, and Leandro de Figueiredo. "Stochastic perturbation optimization for discrete-continuous inverse problems." GEOPHYSICS 85, no. 5 (July 28, 2020): M73—M83. http://dx.doi.org/10.1190/geo2019-0520.1.
Full textFu, Jianlin, and J. Jaime Gómez-Hernández. "A Blocking Markov Chain Monte Carlo Method for Inverse Stochastic Hydrogeological Modeling." Mathematical Geosciences 41, no. 2 (December 12, 2008): 105–28. http://dx.doi.org/10.1007/s11004-008-9206-0.
Full textPace, Francesca, Alessandro Santilano, and Alberto Godio. "A Review of Geophysical Modeling Based on Particle Swarm Optimization." Surveys in Geophysics 42, no. 3 (April 13, 2021): 505–49. http://dx.doi.org/10.1007/s10712-021-09638-4.
Full textKlimczak, Konrad, Piotr Oprocha, Jan Kusiak, Danuta Szeliga, Paweł Morkisz, Paweł Przybyłowicz, Natalia Czyżewska, and Maciej Pietrzyk. "Inverse Problem in Stochastic Approach to Modelling of Microstructural Parameters in Metallic Materials during Processing." Mathematical Problems in Engineering 2022 (April 12, 2022): 1–15. http://dx.doi.org/10.1155/2022/9690742.
Full textChiodo, Elio, and Luigi Pio Di Noia. "Stochastic Extreme Wind Speed Modeling and Bayes Estimation under the Inverse Rayleigh Distribution." Applied Sciences 10, no. 16 (August 14, 2020): 5643. http://dx.doi.org/10.3390/app10165643.
Full textDagan, Gedeon. "Stochastic Modeling of Groundwater Flow by Unconditional and Conditional Probabilities: The Inverse Problem." Water Resources Research 21, no. 1 (January 1985): 65–72. http://dx.doi.org/10.1029/wr021i001p00065.
Full textCherpeau, Nicolas, Guillaume Caumon, Jef Caers, and Bruno Lévy. "Method for Stochastic Inverse Modeling of Fault Geometry and Connectivity Using Flow Data." Mathematical Geosciences 44, no. 2 (January 26, 2012): 147–68. http://dx.doi.org/10.1007/s11004-012-9389-2.
Full textKlein, Olaf, Daniele Davino, and Ciro Visone. "On forward and inverse uncertainty quantification for models involving hysteresis operators." Mathematical Modelling of Natural Phenomena 15 (2020): 53. http://dx.doi.org/10.1051/mmnp/2020009.
Full textMoura, Henrique Gomes, Edson Costa Junior, Arcanjo Lenzi, and Vinicius Carvalho Rispoli. "On a Stochastic Regularization Technique for Ill-Conditioned Linear Systems." Open Engineering 9, no. 1 (February 26, 2019): 52–60. http://dx.doi.org/10.1515/eng-2019-0008.
Full textDell'Oca, A., A. Manzoni, M. Siena, N. G. Bona, L. Moghadasi, M. Miarelli, D. Renna, and A. Guadagnini. "Stochastic inverse modeling of transient laboratory-scale three-dimensional two-phase core flooding scenarios." International Journal of Heat and Mass Transfer 202 (March 2023): 123716. http://dx.doi.org/10.1016/j.ijheatmasstransfer.2022.123716.
Full textKravtsov, S., D. Kondrashov, and M. Ghil. "Multilevel Regression Modeling of Nonlinear Processes: Derivation and Applications to Climatic Variability." Journal of Climate 18, no. 21 (November 1, 2005): 4404–24. http://dx.doi.org/10.1175/jcli3544.1.
Full textNi, C. F., Y. J. Huang, T. C. J. Yeh, J. J. Dong, J. S. Chen, and M. H. Li. "Stochastic inversion of sequential hydraulic tests for transient and highly permeable unconfined aquifer systems." Hydrology and Earth System Sciences Discussions 10, no. 12 (December 10, 2013): 14949–86. http://dx.doi.org/10.5194/hessd-10-14949-2013.
Full textCarletti, Margherita, and Malay Banerjee. "A Backward Technique for Demographic Noise in Biological Ordinary Differential Equation Models." Mathematics 7, no. 12 (December 9, 2019): 1204. http://dx.doi.org/10.3390/math7121204.
Full textNan, Jing, Zhonghua Jian, Chuanfeng Ning, and Wei Dai. "A Lightweight Learning Method for Stochastic Configuration Networks Using Non-Inverse Solution." Electronics 11, no. 2 (January 14, 2022): 262. http://dx.doi.org/10.3390/electronics11020262.
Full textLiu, Xiaoping, Zhenyu Wu, Dejun Cui, Bin Guo, and Lijie Zhang. "A Modeling Method of Stochastic Parameters’ Inverse Gauss Process Considering Measurement Error under Accelerated Degradation Test." Mathematical Problems in Engineering 2019 (May 21, 2019): 1–11. http://dx.doi.org/10.1155/2019/9752920.
Full textGlazunov, Andrey, Üllar Rannik, Victor Stepanenko, Vasily Lykosov, Mikko Auvinen, Timo Vesala, and Ivan Mammarella. "Large-eddy simulation and stochastic modeling of Lagrangian particles for footprint determination in the stable boundary layer." Geoscientific Model Development 9, no. 9 (August 31, 2016): 2925–49. http://dx.doi.org/10.5194/gmd-9-2925-2016.
Full textNádai, László. "Modeling Photon Counting Experiments using Fuzzy Logic Controller." Journal of Advanced Computational Intelligence and Intelligent Informatics 6, no. 2 (June 20, 2002): 72–78. http://dx.doi.org/10.20965/jaciii.2002.p0072.
Full textHagemann, Paul, Johannes Hertrich, and Gabriele Steidl. "Stochastic Normalizing Flows for Inverse Problems: A Markov Chains Viewpoint." SIAM/ASA Journal on Uncertainty Quantification 10, no. 3 (September 28, 2022): 1162–90. http://dx.doi.org/10.1137/21m1450604.
Full textKaulakys, B., M. Alaburda, and J. Ruseckas. "Modeling of long-range memory processes with inverse cubic distributions by the nonlinear stochastic differential equations." Journal of Statistical Mechanics: Theory and Experiment 2016, no. 5 (May 20, 2016): 054035. http://dx.doi.org/10.1088/1742-5468/2016/05/054035.
Full textKaczka, David W., Christopher B. Massa, and Brett A. Simon. "Reliability of Estimating Stochastic Lung Tissue Heterogeneity from Pulmonary Impedance Spectra: A Forward-Inverse Modeling Study." Annals of Biomedical Engineering 35, no. 10 (June 9, 2007): 1722–38. http://dx.doi.org/10.1007/s10439-007-9339-1.
Full textKaczka, David W., Christopher B. Massa, and Brett A. Simon. "Reliability of Estimating Stochastic Lung Tissue Heterogeneity from Pulmonary Impedance Spectra: A Forward-Inverse Modeling Study." Annals of Biomedical Engineering 35, no. 10 (June 26, 2007): 1838. http://dx.doi.org/10.1007/s10439-007-9342-6.
Full textG�mez-Hern�ndez, J. J., H. J. W. M. Hendricks Franssen, and A. Sahuquillo. "Stochastic conditional inverse modeling of subsurface mass transport: A brief review and the self-calibrating method." Stochastic Environmental Research and Risk Assessment (SERRA) 17, no. 5 (November 1, 2003): 319–28. http://dx.doi.org/10.1007/s00477-003-0153-5.
Full textSun, Y., Z. Hou, M. Huang, F. Tian, and L. Ruby Leung. "Inverse modeling of hydrologic parameters using surface flux and runoff observations in the Community Land Model." Hydrology and Earth System Sciences 17, no. 12 (December 10, 2013): 4995–5011. http://dx.doi.org/10.5194/hess-17-4995-2013.
Full textSun, Y., Z. Hou, M. Huang, F. Tian, and L. R. Leung. "Inverse modeling of hydrologic parameters using surface flux and runoff observations in the Community Land Model." Hydrology and Earth System Sciences Discussions 10, no. 4 (April 23, 2013): 5077–119. http://dx.doi.org/10.5194/hessd-10-5077-2013.
Full textAl-Marzouki, Sanaa, Farrukh Jamal, Christophe Chesneau, and Mohammed Elgarhy. "Half Logistic Inverse Lomax Distribution with Applications." Symmetry 13, no. 2 (February 12, 2021): 309. http://dx.doi.org/10.3390/sym13020309.
Full textZhang, Chao, and Hong-Sen Yan. "Inverse control of multi-dimensional Taylor network for permanent magnet synchronous motor." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 36, no. 6 (November 6, 2017): 1676–89. http://dx.doi.org/10.1108/compel-12-2016-0565.
Full textPukl, Radomír, Tereza Sajdlová, Drahomír Novák, and David Lehký. "Fracture-Mechanical Parameters for Modeling of Quasi-Brittle Materials and Structures." Advanced Materials Research 1106 (June 2015): 106–9. http://dx.doi.org/10.4028/www.scientific.net/amr.1106.106.
Full textThomas, Erin E., Daniel J. Vimont, Matthew Newman, Cécile Penland, and Cristian Martínez-Villalobos. "The Role of Stochastic Forcing in Generating ENSO Diversity." Journal of Climate 31, no. 22 (October 17, 2018): 9125–50. http://dx.doi.org/10.1175/jcli-d-17-0582.1.
Full textShcherbina, Yu V., S. D. Asabashvili, and A. M. Prokopenko. "SIMULATION OF ASYMMETRICALLY DISTRIBUTED PROCESSES." Key title: Zbìrnik naukovih pracʹ Odesʹkoï deržavnoï akademìï tehnìčnogo regulûvannâ ta âkostì -, no. 1(16) (2020): 42–47. http://dx.doi.org/10.32684/2412-5288-2020-1-16-42-47.
Full textRussian, A., M. Riva, E. R. Russo, M. A. Chiaramonte, and A. Guadagnini. "Stochastic inverse modeling and global sensitivity analysis to assist interpretation of drilling mud losses in fractured formations." Stochastic Environmental Research and Risk Assessment 33, no. 10 (September 21, 2019): 1681–97. http://dx.doi.org/10.1007/s00477-019-01729-4.
Full textBai, Jie, and Rishi Raj. "Inverse Problems in Stochastic Modeling of Mixed-Mode Power-Law and Diffusional Creep for Distributed Grain Size." Metallurgical and Materials Transactions A 41, no. 2 (December 18, 2009): 308–17. http://dx.doi.org/10.1007/s11661-009-0120-y.
Full textRubin, Y., J. P. Lobo Ferreira, J. D. Rodrigues, and G. Dagan. "Estimation of the hydraulic parameters of the Rio-Maior aquifer in Portugal by using stochastic inverse modeling." Journal of Hydrology 118, no. 1-4 (October 1990): 257–79. http://dx.doi.org/10.1016/0022-1694(90)90262-v.
Full textHan, S. L., and Takeshi Kinoshita. "Stochastic Inverse Identification of Nonlinear Roll Damping Moment of a Ship Moving at Nonzero-Forward Speeds." Mathematical Problems in Engineering 2012 (2012): 1–22. http://dx.doi.org/10.1155/2012/769385.
Full textJin, Bangti, Zehui Zhou, and Jun Zou. "On the Saturation Phenomenon of Stochastic Gradient Descent for Linear Inverse Problems." SIAM/ASA Journal on Uncertainty Quantification 9, no. 4 (January 2021): 1553–88. http://dx.doi.org/10.1137/20m1374456.
Full textStanislavsky, Aleksander A., and Aleksander Weron. "Subdiffusive search with home returns via stochastic resetting: a subordination scheme approach." Journal of Physics A: Mathematical and Theoretical 55, no. 7 (January 28, 2022): 074004. http://dx.doi.org/10.1088/1751-8121/ac4a1c.
Full textKitanidis, Peter K. "Comment on “Stochastic Modeling of Groundwater Flow by Unconditional and Conditional Probabilities: The Inverse Problem” by Gedeon Dagan." Water Resources Research 22, no. 6 (June 1986): 984–86. http://dx.doi.org/10.1029/wr022i006p00984.
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