@article{chiche:hal-01057577, TITLE = {{How the augmented Lagrangian algorithm can deal with an infeasible convex quadratic optimization problem}}, AUTHOR = {Chiche, Alice and Gilbert, Jean Charles}, URL = {https://inria.hal.science/hal-01057577}, JOURNAL = {{Journal of Convex Analysis}}, PUBLISHER = {{Heldermann}}, VOLUME = {23}, NUMBER = {2}, YEAR = {2016}, KEYWORDS = {augmented Lagrangian algorithm ; augmentation parameter update ; quasi-global error bound ; closest feasible problem ; proximal point algorithm ; convex quadratic optimization ; global linear convergence ; feasible shift ; infeasible problem ; shifted constraint}, PDF = {https://inria.hal.science/hal-01057577/file/RR-8583.pdf}, HAL_ID = {hal-01057577}, HAL_VERSION = {v1}, }