A projection-based approach to general-form Tikhonov regularization
Publication: Research - peer-review › Journal article – Annual report year: 2007
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A projection-based approach to general-form Tikhonov regularization. / Kilmer, Misha E.; Hansen, Per Christian; Espanol, Malena I.
In: S I A M Journal on Scientific Computing, Vol. 29, No. 1, 2007, p. 315-330.Publication: Research - peer-review › Journal article – Annual report year: 2007
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TY - JOUR
T1 - A projection-based approach to general-form Tikhonov regularization
A1 - Kilmer,Misha E.
A1 - Hansen,Per Christian
A1 - Espanol,Malena I.
AU - Kilmer,Misha E.
AU - Hansen,Per Christian
AU - Espanol,Malena I.
PB - Society for Industrial and Applied Mathematics
PY - 2007
Y1 - 2007
N2 - We present a projection-based iterative algorithm for computing general-form Tikhonov regularized solutions to the problem minx| Ax-b |2^2+lambda2| Lx |2^2, where the regularization matrix L is not the identity. Our algorithm is designed for the common case where lambda is not known a priori. It is based on a joint bidiagonalization algorithm and is appropriate for large-scale problems when it is computationally infeasible to transform the regularized problem to standard form. By considering the projected problem, we show how estimates of the corresponding optimal regularization parameter can be efficiently obtained. Numerical results illustrate the promise of our projection-based approach.
AB - We present a projection-based iterative algorithm for computing general-form Tikhonov regularized solutions to the problem minx| Ax-b |2^2+lambda2| Lx |2^2, where the regularization matrix L is not the identity. Our algorithm is designed for the common case where lambda is not known a priori. It is based on a joint bidiagonalization algorithm and is appropriate for large-scale problems when it is computationally infeasible to transform the regularized problem to standard form. By considering the projected problem, we show how estimates of the corresponding optimal regularization parameter can be efficiently obtained. Numerical results illustrate the promise of our projection-based approach.
U2 - 10.1137/050645592
DO - 10.1137/050645592
JO - S I A M Journal on Scientific Computing
JF - S I A M Journal on Scientific Computing
SN - 1064-8275
IS - 1
VL - 29
SP - 315
EP - 330
ER -