A continuum steady-state model of cerebral oxygen transport is
considered. It consists of two semilinear elliptic equations describing
the distributions of blood and tissue oxygen concentrations. The inverse
problem is to find unknown intensities of the sources of the equation
for the blood oxygen transport. As conditions of overdetermination, the
average values of the blood oxygen concentration in some neighborhoods
of the sources, are taken. In addition, the reconstruction of the blood
and tissue oxygen concentrations are also required. The existence
theorem is proved without assumptions of smallness. The conditions for
the uniqueness of the solution are established. A numerical algorithm
based on the Tikhonov regularization method is constructed and its
convergence is shown by a numerical example. (C) 2021 Elsevier Inc. All
rights reserved.
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A continuum steady-state model of cerebral oxygen transport is
considered. It consists of two semilinear elliptic equations describing
the distributions of blood and tissue oxygen concentrations. The inverse
problem is to find unknown intensities of the sources of the equation
for the blood oxygen transport. As conditions of overdetermination, the
average values of the blood oxygen concentration in some neighborhoods
of the sources, are taken. In addition, the reconstruction of the blood
and tis...
»