The regularizing properties of the adjoint gradient method in ill-posed problems
USSR Computational Mathematics and Mathematical Physics
Fundamentals of digital image processing
Fundamentals of digital image processing
A Technique for the Numerical Solution of Certain Integral Equations of the First Kind
Journal of the ACM (JACM)
An interior-point method for large constrained discrete ill-posed problems
Journal of Computational and Applied Mathematics
A reduced Newton method for constrained linear least-squares problems
Journal of Computational and Applied Mathematics
A hybrid multilevel-active set method for large box-constrained linear discrete ill-posed problems
Calcolo: a quarterly on numerical analysis and theory of computation
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Many questions in science and engineering give rise to linear discrete ill-posed problems. Often it is desirable that the computed approximate solution satisfies certain constraints, e.g., that some or all elements of the computed solution be nonnegative. This paper describes an iterative method of active set-type for the solution of large-scale problems of this kind. The method employs conjugate gradient iteration with a stopping criterion based on the discrepancy principle and allows updates of the active set by more than one index at a time.