Free Access
Volume 20, Number 1, 1986
Page(s) 75 - 87
Published online 31 January 2017
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  3. P. WAHBA, Practical approximate solutions to linear operator équations when the data are noisy. SIAM, J. Num. Anal. 14 (1977), 651-667. [MR: 471299] [Zbl: 0402.65032]
  4. P. CRAVEN, G. WAHBA, Smoothing noisy data with spline functions. Numer. Math. 31 (1979) 377-403. [EuDML: 132586] [MR: 516581] [Zbl: 0377.65007]
  5. M. STONE, Cross-validatory choice and assessment of statistical prediction (with discussion). J. Roy. Statist. Soc, Ser. B, 36 (1974) pp. 111-147. [MR: 356377] [Zbl: 0308.62063]
  6. G. GOLUB, C. REINSCH, Singular value decomposition and least square solution. Numer. Math. 14, 403-420 (1970). [EuDML: 131963] [MR: 1553974] [Zbl: 0181.17602]
  7. R. ALLEMAND et al., A new time-of-flight method for positron computed tomography in D. A. B. Lindberg and P. L. Reichertz Eds., Biomedical Images and Computers. Berlin : Springer, 1980.
  8. D. GIRARD, Les méthodes de régularisation optimale et leurs applications en tomographie. Thesis, University of Grenoble, 1984.

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