Data for: Benefits of noise in M-estimators: Optimal noise level and probability density

Name: Data for: Benefits of noise in M-estimators: Optimal noise level and probability density
Creator: Fabing Duan
Published: 2019-10-23T06:52:10.412Z
Keywords: Constrained Optimization

Duan, Fabing

doi:10.17632/h2nxrghrfw.1

Data for: Benefits of noise in M-estimators: Optimal noise level and probability density

Published: 23 October 2019| Version 1 | DOI: 10.17632/h2nxrghrfw.1

Contributor:

Fabing Duan

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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).

Data for: Benefits of noise in M-estimators: Optimal noise level and probability density

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