The active-set method for nonnegative regularization of linear ill-posed problems
暂无分享,去创建一个
[1] Per Christian Hansen,et al. Rank-Deficient and Discrete Ill-Posed Problems , 1996 .
[2] D K Smith,et al. Numerical Optimization , 2001, J. Oper. Res. Soc..
[3] P. Hansen. Rank-Deficient and Discrete Ill-Posed Problems: Numerical Aspects of Linear Inversion , 1987 .
[4] J. Nagy,et al. Quasi-Newton approach to nonnegative image restorations , 2000 .
[5] Carl Tim Kelley,et al. Iterative methods for optimization , 1999, Frontiers in applied mathematics.
[6] Johnathan M. Bardsley,et al. A Nonnegatively Constrained Convex Programming Method for Image Reconstruction , 2003, SIAM J. Sci. Comput..
[7] A. N. Tikhonov,et al. Solutions of ill-posed problems , 1977 .
[8] D. Bertsekas. On the Goldstein-Levitin-Polyak gradient projection method , 1974, CDC 1974.
[9] Roger Fletcher,et al. Projected Barzilai-Borwein methods for large-scale box-constrained quadratic programming , 2005, Numerische Mathematik.
[10] S. Nash,et al. Linear and Nonlinear Programming , 1987 .
[11] Johnathan M Bardsley. A limited-memory, quasi-Newton preconditioner for nonnegatively constrained image reconstruction. , 2004, Journal of the Optical Society of America. A, Optics, image science, and vision.
[12] D. Bertsekas. Projected Newton methods for optimization problems with simple constraints , 1981, 1981 20th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.
[13] David G. Luenberger,et al. Linear and Nonlinear Programming: Second Edition , 2003 .