public class DoubleMRNSD extends AbstractDoubleIterativeSolver
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.
Modifier and Type | Field and Description |
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static double |
sqrteps |
Constructor and Description |
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DoubleMRNSD() |
Modifier and Type | Method and Description |
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DoubleMatrix1D |
solve(DoubleMatrix2D A,
DoubleMatrix1D b,
DoubleMatrix1D x)
Solves the given problem, writing result into the vector.
|
getIterationMonitor, getPreconditioner, setIterationMonitor, setPreconditioner
public DoubleMatrix1D solve(DoubleMatrix2D A, DoubleMatrix1D b, DoubleMatrix1D x) throws IterativeSolverDoubleNotConvergedException
DoubleIterativeSolver
A
- Matrix of the problemb
- Right hand sidex
- Solution is stored here. Also used as initial guessIterativeSolverDoubleNotConvergedException
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