Data for: Benefits of noise in M-estimators: Optimal noise level and probability density
Description of this data
This zipped file contains the program of solving the inequality constrained optimization problem of Eq.(A.6) by the interior point function methods (Matlab code).
Experiment data files
This data is associated with the following publication:
Cite this dataset
Duan, Fabing (2019), “Data for: Benefits of noise in M-estimators: Optimal noise level and probability density”, Mendeley Data, v1 http://dx.doi.org/10.17632/h2nxrghrfw.1