{"push_id":1337078042,"size":2,"distinct_size":2,"ref":"refs/heads/sh/cov_model_homogenization","head":"c0f7403186f6ad2ade25f1d159dd4fa9f6c1b881","before":"c535842c599f67995be838e3b34519b8ae9fc96c","commits":[{"sha":"da9e308df074250ac1c4990a0c2061fed45cf95e","author":{"name":"Sofiane HADDAD","email":"48e225efb1f7086f62d8811d8ce47a6d54e4f56f@imacs.polytechnique.fr"},"message":"No need to use std::abs for norms","distinct":true,"url":"https://api.github.com/repos/sofianehaddad/openturns/commits/da9e308df074250ac1c4990a0c2061fed45cf95e"},{"sha":"c0f7403186f6ad2ade25f1d159dd4fa9f6c1b881","author":{"name":"Sofiane HADDAD","email":"48e225efb1f7086f62d8811d8ce47a6d54e4f56f@imacs.polytechnique.fr"},"message":"In various covariance models, homogenization of case tau small\n\nWe use the convention in Matern for all models : we should return\n1 + nuggetFactor_ if value is smaller than epsilon, not\nexactly zero (as input parameter is scaled over theta)","distinct":true,"url":"https://api.github.com/repos/sofianehaddad/openturns/commits/c0f7403186f6ad2ade25f1d159dd4fa9f6c1b881"}]}
{"actor":{"display_login":"sofianehaddad"}}