NUMERICAL APPROXIMATION OF THE FINAL STATE OF AN INCOMPLETE DATA HEAT PROBLEM
Abstract
We determine the state at an instant $T_0$ of a 2D heat problem whose initial condition is partially known on a part of the domain. We use a non-standard method to solve this problem numerically.
References
[1]A. F. Bennett, Inverse Modeling of the Ocean and Atmosphere, Cambridge University Press, Cambridge, 2002.
[2]Abani Maidaoua Ali, Dia Bassirou, Diop Oulimata, Sembene Ama Diop Niang and Benjamin Mampassi, Solving an incomplete data inverse problem by a pseudo-spectral approximation method with a non standard approach, International Journal of Numerical Methods and Applications 18(2) (2019), 9-21.
[3]K. J. Beven and J. Freer, Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology, Journal of Hydrology 249 (2001), 11-29.
[4]D. H. Burn and D. B. Boorman, Estimation of hydrological parameters at ungauged catchments, Journal of Hydrology 143 (1992), 429-454.
[5]D. G. Cacuci, Sensitivity theory for nonlinear systems: I. Nonlinear functional analysis approach, J. Math. Phys. 22 (1981), 2794-2802.
[6]D. G. Cacuci, Sensitivity theory for nonlinear systems: II. Extensions to additional classes of responses, J. Math. Phys. 22 (1981), 2803-2812.
[7]D. G. Cacuci, Sensitivity analysis, optimization, and global critical points, United States, 1989, pp. 602-603.
[8]R. Daley, Atmospheric Data Analysis, Cambridge University Press, 1991.
[9]Jacques Hadamard, On partial differential problems and their physical significance, Princeton University Bulletin, 1902, pp. 49-52.
[10]E. Kalnay, S. Ki Park, Z.-X. Pu and J. Gao, Application of the quasi-inverse method to data assimilation, Month. Weather Rev. 128 (2000), 864-875.
[11]L. S. Gandin, Objective Analysis of Meteorological Fields, Gidrometeorologicheskoe Izdatelstvo, Leningrad, 1963, Translation by Israel Program for Scientific Translations, Jerusalem, 1965, 242 pp.
[12]Jean-Pierre Puel, A non standard approach to a data assimilation problem and Tychonov regularization revisited, SIAM J. Control Optim. 48(2) (2009), 1089-1111.
[13]A. C. Lorenc, A global three-dimensional multivariate statistical interpolation scheme, Quart. J. Roy. Meteor. Soc. 109 (1981), 701-721.
[14]D. Luenberger, Observers for multivariable systems, IEEE Trans. Automat. Control 11 (1966), 190-197.
[15]O. Talagrand, Assimilation of observations, an introduction, J. Met. Soc. Japan 75(1B) (1997), 191-209.