چکیده
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In this paper, we consider coefficient inverse problems,
which are associated with the identification of unknown time dependent control parameter and unknown solution of two-dimensional parabolic inverse problem with overspecialization at a point in the spatial domain.After suitable finite difference approximation of time variable,an MLPG method is used for spatial discretization. To improve the efficiency of the MLPG method, a greedy algorithm is used. In fact, using the greedy algorithm, we avoid using more points from the data
site than absolutely necessary and therefore, the method becomes more efficient. Comparison of the different kind of point selection and
the effect of noisy data are performed for four test problems while our
last test problem considers a problem with unknown solution. The
results reveal that the method is efficient.
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