A fundamental imaging problem in microstructural analysis of metals is the reconstruction of local crystallographic orientations from X-ray diffraction measurements. This work deals
with the computation of the 3D orientation distribution function for individual grains of the material
in consideration. We present an iterative large-scale algorithm that uses preconditioned regularizing
CGLS iterations with a stopping criterion based on the information available in the residual vectors.
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