Modification of conjugate gradient iteration to enable control of the eigenvalue range
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The basis for choosing the scaling factors for conjugate gradient iteration is changed
from the minimization of the data variance to the accurate inversion of eigenvalues over
a predetermined range. This different basis enables the inversion to be controlled using
knowledge of the inversion problem and produces a greater likelihood inversion while keeping
the favorable characteristics of conjugate gradient intact.