Abstract:
The sensitivity storage is used to solve the inverse coefficient problems. The capability of this approach is demonstrated for constructing new algorithms of residual function
minimization and new stopping criteria of minimization
processes. The use of sensitivity storage is illustrated by the example of
numerical solution of a model problem of hydraulic conductivity
identification for a three-dimensional anisotropic confined aquifer.
Keywords:identification problem, sensitivity storage, filtration, minimization of functions, residual function minimization.
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