TY - GEN A1 - Calvetti, Daniela A1 - Lewis, Bryan A1 - Reichel, Lothar A2 - Campbell, Stephen L. - ed. PB - Zielona Góra: Uniwersytet Zielonogórski N2 - Many iterative methods for the solution of linear discrete ill-posed problems with a large matrix require the computed approximate solutions to be orthogonal to the null space of the matrix. We show that when the desired solution is not smooth, it may be possible to determine meaningful approximate solutions with less computational work by not imposing this orthogonality condition. L1 - http://www.zbc.uz.zgora.pl/Content/58804/AMCS_2001_11_5_4.pdf L2 - http://www.zbc.uz.zgora.pl/Content/58804 KW - minimal residual method KW - conjugate gradient methods KW - ill-posed problems T1 - On the choice of subspace for iterative methods for linear discrete ill-posed problems UR - http://www.zbc.uz.zgora.pl/dlibra/docmetadata?id=58804 ER -