MS3 Implementation and Application issues in regularizing least squares and total least squares

MS3 Thursday Afternoon

16:55 A Truncated Singular Component Method for Ill-Posed Problems
Bert W. Rust,
NIST, USA
(with Dianne P. O'Leary, University of Maryland)

17:20 Truncation Rules for Iterative Deblurring Methods
John Bardsley
University of Montana, USA

17:45 Lanczos Hybrid Regularization for Image Processing Applications
James Nagy,
Emory University, Atlanta GA, USA

18:10 On solvability of total least squares problem
Iveta Hnetynková
Charles University in Prague, and Institute of Computer Science, Academy of Sciences, Czech Republic.

18:35 A Newton Iteration for estimating the regularizing parameter for least squares
Rosemary A Renaut
Arizona State University, Phoenix, USA
(with Jodi Mead, Boise State University)

MS3 Friday Morning

10:35 Block splitting least square regularization for structured matrices arising in nonlinear microwave imaging
Claudio Estatico
University of Cagliari, Italy

11:00 Signal and Image regularization via antireflective transform
Antonio Arico,
Università degli studi di Cagliari, taly

11:25 Regularizing Least Squares with the Concentration Method
Wolfgang Stefan,
(with Rosemary Renaut and Anne Gelb, Arizona State University)

11:50 Calculating Weights in Least Squares Estimation Using the Chi-squared Method
Jodi Mead
Boise State University, Idaho
(with Rosemary Renaut, ASU)

12:15