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Books > Science & Mathematics > Physics > Applied physics & special topics > Geophysics
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Parameter Identification and Inverse Problems in Hydrology, Geology and Ecology (Paperback, Softcover reprint of the original 1st ed. 1996)
Loot Price: R4,474
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Parameter Identification and Inverse Problems in Hydrology, Geology and Ecology (Paperback, Softcover reprint of the original 1st ed. 1996)
Series: Water Science and Technology Library, 23
Expected to ship within 10 - 15 working days
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The Workshop on Parameter Identification and Inverse Problems in
Hydrology, Geology and Ecology, Karlsruhe, April 10-12, 1995, was
organized to bring to gether an interdisciplinary group drawn from
the areas of science, engineering and mathematics for the following
purposes: - to promote, encourage and influence more understanding
and cooperation in the community of parameter identifiers from
various disciplines, - to forge unity in diversity by bringing
together a variety of disciplines that attempt to understand the
reconstruction of inner model parameters, un known nonlinear
constitutive relations, heterogeneous structures inside of
geological objects, sources or sinks from observational data, - to
discuss modern regularization tools for handling improperly posed
pro blems and strategies of incorporating a priori knowledge from
the applied problem into the model and its treatment. These
proceedings contain some of the results of the workshop,
representing a bal anced selection of contributions from the
various groups of participants. The reviewed invited and
contributed articles are grouped according to the broad headings of
hydrology, non-linear diffusion and soil physics, geophysical
methods, mathematical analysis of inverse and ill-posed problems
and parallel algorithms for inverse problems. Some of the issues
adressed by the articles in these proceedings include the rela tion
between least squares and direct formulations of inverse problems
for partial differential equations, nonlinear regularization,
identification of nonlinear consti tutive relations, fast parallel
algorithms for large scale inverse problems, reduction of model
structures, geostatistical inversion techniques.
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