Geodesic
On the Convergence of One Class of the Regularization Methods for Ill-Posed Quadratic Minimization Problems With Constraint
Publications de l'Institut Mathématique, _N_S_97 (2015) no. 111, p. 89 Cet article a éte moissonné depuis la source eLibrary of Mathematical Institute of the Serbian Academy of Sciences and Arts

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We study a class of regularization methods for solving least-squares ill-posed problem with a convex constraint. Convergence and convergence rate results are proven for the problems which satisfy so called power source condition. All the results are obtained under the assumptions that, instead of exact initial data, only their approximations are known.
DOI : 10.2298/PIM140923001J
Keywords: quadratic programming, ill-posed problems, regularization 
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     author = {Milojica Ja\'cimovi\'c and Izedin Krni\'c and Oleg Obradovi\'c},
     title = {On the {Convergence} of {One} {Class} of the {Regularization} {Methods} for {Ill-Posed} {Quadratic} {Minimization} {Problems} {With} {Constraint}},
     journal = {Publications de l'Institut Math\'ematique},
     pages = {89 },
     year = {2015},
     volume = {_N_S_97},
     number = {111},
     doi = {10.2298/PIM140923001J},
     language = {en},
     url = {http://geodesic.mathdoc.fr/articles/10.2298/PIM140923001J/}
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Milojica Jaćimović; Izedin Krnić; Oleg Obradović. On the Convergence of One Class of the Regularization Methods for Ill-Posed Quadratic Minimization Problems With Constraint. Publications de l'Institut Mathématique, _N_S_97 (2015) no. 111, p. 89 . doi: 10.2298/PIM140923001J

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