@article{M2AN_1986__20_1_75_0, author = {Girard, Didier}, title = {Practical optimal regularization of large linear systems}, journal = {ESAIM: Mod\'elisation math\'ematique et analyse num\'erique}, pages = {75--87}, publisher = {AFCET - Gauthier-Villars}, address = {Paris}, volume = {20}, number = {1}, year = {1986}, mrnumber = {844517}, zbl = {0596.65024}, language = {en}, url = {http://archive.numdam.org/item/M2AN_1986__20_1_75_0/} }
TY - JOUR AU - Girard, Didier TI - Practical optimal regularization of large linear systems JO - ESAIM: Modélisation mathématique et analyse numérique PY - 1986 SP - 75 EP - 87 VL - 20 IS - 1 PB - AFCET - Gauthier-Villars PP - Paris UR - http://archive.numdam.org/item/M2AN_1986__20_1_75_0/ LA - en ID - M2AN_1986__20_1_75_0 ER -
%0 Journal Article %A Girard, Didier %T Practical optimal regularization of large linear systems %J ESAIM: Modélisation mathématique et analyse numérique %D 1986 %P 75-87 %V 20 %N 1 %I AFCET - Gauthier-Villars %C Paris %U http://archive.numdam.org/item/M2AN_1986__20_1_75_0/ %G en %F M2AN_1986__20_1_75_0
Girard, Didier. Practical optimal regularization of large linear systems. ESAIM: Modélisation mathématique et analyse numérique, Tome 20 (1986) no. 1, pp. 75-87. http://archive.numdam.org/item/M2AN_1986__20_1_75_0/
[1] Smoothing by spline functions II. Numer. Math., 16 (1971), pp. 451-454. | MR
,[2] Smoothing noisy data with spline functions. Numer. Math., 24 (1975),pp. 383-393. | MR | Zbl
,[3] Practical approximate solutions to linear operator équations when the data are noisy. SIAM, J. Num. Anal. 14 (1977), 651-667. | MR | Zbl
,[4] Smoothing noisy data with spline functions. Numer. Math. 31 (1979) 377-403. | MR | Zbl
, ,[5] Cross-validatory choice and assessment of statistical prediction (with discussion). J. Roy. Statist. Soc, Ser. B, 36 (1974) pp. 111-147. | MR | Zbl
,[6] Singular value decomposition and least square solution. Numer. Math. 14, 403-420 (1970). | MR | Zbl
, ,[7] 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.
et al.,[8] Les méthodes de régularisation optimale et leurs applications en tomographie. Thesis, University of Grenoble, 1984.
,