Documentation of 'cern.colt.matrix.tfloat.algo.solver.FloatMRNSD' Java class
FloatMRNSD
cern.colt.matrix.tfloat.algo.solver

Class FloatMRNSD

  • All Implemented Interfaces:
    FloatIterativeSolver


    public class FloatMRNSD
    extends AbstractFloatIterativeSolver
    MRNSD is Modified Residual Norm Steepest Descent method used for solving large-scale, ill-posed inverse problems of the form: b = A*x + noise. This algorithm is nonnegatively constrained.

    References:

    [1] J. Nagy, Z. Strakos, "Enforcing nonnegativity in image reconstruction algorithms" in Mathematical Modeling, Estimation, and Imaging, David C. Wilson, et.al., Eds., 4121 (2000), pg. 182--190.

    [2] L. Kaufman, "Maximum likelihood, least squares and penalized least squares for PET", IEEE Trans. Med. Imag. 12 (1993) pp. 200--214.

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