Creator:

Calvetti, Daniela ; Lewis, Bryan ; Reichel, Lothar

Contributor:

Campbell, Stephen L. - ed.

Title:

On the choice of subspace for iterative methods for linear discrete ill-posed problems

Subtitle:

Numerical Analysis and Systems Theory

Group publication title:

AMCS, volume 11 (2001)

Subject and Keywords:

minimal residual method ; conjugate gradient methods ; ill-posed problems

Abstract:

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.

Publisher:

Zielona Góra: Uniwersytet Zielonogórski

Date:

2001

Resource Type:

artykuł

Pages:

1069-1092

Source:

AMCS, volume 11, number 5 (2001) ; click here to follow the link

Language:

eng

License CC BY 4.0:

click here to follow the link

Rights:

Biblioteka Uniwersytetu Zielonogórskiego