On the regularizing behavior of the SDA and SDC gradient methods in the solution of linear ill-posed problems

Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter

Gene H. Golub, Michael T. Heath, Grace Wahba · Technometrics · 1979 · 3.8K citations

Computing, Biostatistics, Data Science +11

Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems

Mário A. T. Figueiredo, Robert D. Nowak, Stephen J. Wright · IEEE Journal of Selected Topics in Signal Processing · 2007 · 3.5K citations

Natural Sciences, Computer Science, Biomedical Signal Processing +13

The Use of the L-Curve in the Regularization of Discrete Ill-Posed Problems

Per Christian Hansen, Dianne P. O’Leary · SIAM Journal on Scientific Computing · 1993 · 3.1K citations

Natural Sciences, Computer Science, Finite Element Analysis +13

Two-Point Step Size Gradient Methods

Jonathan Barzilai, Jonathan M. Borwein · IMA Journal of Numerical Analysis · 1988 · 2.9K citations

Computing, Computer Science, Algorithms +11

REGULARIZATION TOOLS: A Matlab package for analysis and solution of discrete ill-posed problems

Per Christian Hansen · Numerical Algorithms · 1994 · 1.7K citations

Computing, Computational Engineering, Computer Science +15