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Referencias:

• Björk, A., (1996) Numerical Methods for Least Squares Problems, , SIAM, Philadelphia
• Browne, J.A., De Pierro, A.R., A row-action alternative to the EM Algorithm for maximizing likelihoods in emission tomography (1996) IEEE Transactions on Medical Imaging, 15 (4), pp. 687-699
• Browne, J.A., Herman, G.T., Odhner, D., (1993) SNARK93 a programming system for image reconstruction from projections, , Department of Radiology, University of Pennsylvania, Medical Image Processing Group, Technical Report MIPG198
• Byrne, C., Accelerating the EMML algorithm and related iterative algorithms by rescaled block-iterative method (1998) IEEE Transactions on Image Processing, 7 (1), pp. 100-109
• Byrne, C., Iterative oblique projection onto convex sets and the split feasibility problem (2002) Inverse Problems, 18, pp. 441-453
• Byrne, C., Censor, Y., Proximity function minimization using multiple Bregman projections with applications to split feasibility and Kullback–Leibler distance minimization (2001) Annals of Operations Research, 105, pp. 77-98
• Censor, Y., Elfving, T., Block-iterative algorithms with diagonally scaled oblique projections for the linear feasibility problem (2002) SIAM Journal on Matrix Analysis and Applications, 24, pp. 40-58
• Censor, Y., Gordon, D., Gordon, R., Component averaging (2001) Parallel Computing, 27, pp. 777-808. , an efficient iterative parallel algorithm for large and sparse unstructured problems
• Censor, Y., Zenios, S., (1997) Parallel Optimization: Theory and Applications, , Oxford University Press, New York
• Csiszár, I., Tusnády, G., Information geometry and alternating minimization procedures (1984) Statistics and Decisions, 1, pp. 205-237
• Echebest, N., Guardarucci, M.T., Scolnik, H.D., Vacchino, M.C., An accelerated iterative method with diagonally scaled oblique projections for solving linear feasibility problems (2005) Annals of Operations Research, 138, pp. 235-257
• García Palomares, U.M., Parallel projected aggregation methods for solving the convex feasibility problem (1993) SIAM Journal of Optimization, 3, pp. 882-900
• Hansen, P.C., (1998) Rank-Deficient and Discrete Ill-Posed Problems, , SIAM, Philadelphia
• Hansen, P.C., O’Leary, D.P., The use of L-curve in the regularization of discrete ill-posed problems (1993) SIAM Journal of Scientific Computing, 14, pp. 1487-1503
• Herman, G.T., Odhner, D., Perfomance evaluation of an iterative image reconstruction algorithm for positron emission tomography (1991) IEEE Transactions on Medical Imaging, 10, pp. 336-346
• Jiang, M., Wang, G., Convergence studies on iterative algorithms for image reconstruction (2003) IEEE Transactions on Medical Imaging, 22, pp. 569-579
• Kaczmarz, S., Angenäherte Auflösung von Systemen linearer Gleichungen (1937) Bulletin of the International Academy of Polonaise Science Letters, 35, pp. 355-357
• Koltracht, I., Lancaster, F., Smith, D., The structure of some matrices arising in tomography (1990) Linear Algebra Applications, 130, pp. 193-218
• Landweber, L., An iteration formula for Fredholm integral equations of the first kind (1951) American Journal of Mathematics, 73, pp. 615-624
• Lange, K., Convergence of EM image reconstruction algorithms with Gibbs smoothing (1990) IEEE Transactions on Medical Imaging, 9, pp. 439-446
• Lewitt, R.M., Multidimensional digital image representations using generalized Kaiser-Bessel window functions (1990) Journal of the Optical Society of America A, 7 (10), pp. 1834-1846
• Luenberger, D.G., (1986) Linear and Nonlinear Programming, , Addison Wesley Publishing Company, New York
• Popa, C., Extensions of block-projections methods with relaxation parameters to inconsistent and rank-deficient least-squares problems (1998) BIT, 38, pp. 151-176
• Popa, C., Zdunek, R., Kaczmarz extended algorithm for tomographic image reconstruction from limited data (2004) Mathematics and Computers in Simulation, 65, pp. 579-598
• Popa, C., Zdunek, R., Penalized least squares image reconstruction for borehole tomography (2005) Proceedings of Algorithmy, pp. 260-269
• Pralat, A., Zdunek, R., Electromagnetic geotomography – selection of measuring frequency (2005) IEEE Sensors Journal, 5 (2), pp. 242-250
• Scolnik, H.D., Echebest, N., Guardarucci, M.T., Vacchino, M.C., A class of optimized row projection methods for solving large non-symmetric linear systems (2002) Applied Numerical Mathematics, 41, pp. 499-513
• Scolnik, H.D., Echebest, N., Guardarucci, M.T., Vacchino, M.C., Acceleration scheme for parallel projected aggregation methods for solving large linear systems (2002) Annals of Operations Research, 117, pp. 95-115
• Scolnik, H.D., Echebest, N., Guardarucci, M.T., Extensions of incomplete oblique projections method for solving rank-deficient least-squares problems (2006) Proceedings of Latin-Ibero American Congress of Operations Research, , Montevideo, Uruguay, November 27–30 (submitted to the, Journal of Industrial and Management Optimization, 2007)
• Scolnik, H.D., Echebest, N., Guardarucci, M.T., Vacchino, M.C., Incomplete oblique projections for solving large inconsistent linear systems (2008) Mathematical Programming B, 111, pp. 273-300
• Tikhonov, A.N., Solution of incorrectly formulated problems and the regularization method (1963) Soviet Mathematics Doklady, 4, pp. 1035-1038
• Wahba, G., Practical approximate solutions to linear operator equations when the data are noisy (1977) SIAM Journal of Numerical Analytics, 14, pp. 651-667
• Wahba, G., (1990) Spline models for observational data. DBMS-NSF Regional Conference Series in Applied Mathematics, 59. , SIAM, Philadelphia, PA

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