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dc.contributor.authorCalo, Victor
dc.contributor.authorCollier, N.
dc.contributor.authorGehre, M.
dc.contributor.authorJin, B.
dc.contributor.authorRadwan, H.
dc.contributor.authorSantillana, M.
dc.date.accessioned2017-03-24T11:52:50Z
dc.date.available2017-03-24T11:52:50Z
dc.date.created2017-03-23T06:59:53Z
dc.date.issued2013
dc.identifier.citationCalo, V. and Collier, N. and Gehre, M. and Jin, B. and Radwan, H. and Santillana, M. 2013. Gradient-based estimation of Manning's friction coefficient from noisy data. Journal of Computational and Applied Mathematics. 238 (1): pp. 1-13.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/51358
dc.identifier.doi10.1016/j.cam.2012.08.004
dc.description.abstract

We study the numerical recovery of Manning's roughness coefficient for the diffusive wave approximation of the shallow water equation. We describe a conjugate gradient method for the numerical inversion. Numerical results for one-dimensional models are presented to illustrate the feasibility of the approach. Also we provide a proof of the differentiability of the weak form with respect to the coefficient as well as the continuity and boundedness of the linearized operator under reasonable assumptions using the maximal parabolic regularity theory. © 2012 Elsevier B.V. All rights reserved.

dc.publisherElsevier
dc.titleGradient-based estimation of Manning's friction coefficient from noisy data
dc.typeJournal Article
dcterms.source.volume238
dcterms.source.number1
dcterms.source.startPage1
dcterms.source.endPage13
dcterms.source.issn0377-0427
dcterms.source.titleJournal of Computational and Applied Mathematics
curtin.departmentDepartment of Applied Geology
curtin.accessStatusOpen access via publisher


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