{"action":"closed","issue":{"url":"https://api.github.com/repos/jonathf/chaospy/issues/109","repository_url":"https://api.github.com/repos/jonathf/chaospy","labels_url":"https://api.github.com/repos/jonathf/chaospy/issues/109/labels{/name}","comments_url":"https://api.github.com/repos/jonathf/chaospy/issues/109/comments","events_url":"https://api.github.com/repos/jonathf/chaospy/issues/109/events","html_url":"https://github.com/jonathf/chaospy/issues/109","id":368242292,"node_id":"MDU6SXNzdWUzNjgyNDIyOTI=","number":109,"title":"Residue","user":{"login":"marcrocasalonso","id":37378243,"node_id":"MDQ6VXNlcjM3Mzc4MjQz","avatar_url":"https://avatars3.githubusercontent.com/u/37378243?v=4","gravatar_id":"","url":"https://api.github.com/users/marcrocasalonso","html_url":"https://github.com/marcrocasalonso","followers_url":"https://api.github.com/users/marcrocasalonso/followers","following_url":"https://api.github.com/users/marcrocasalonso/following{/other_user}","gists_url":"https://api.github.com/users/marcrocasalonso/gists{/gist_id}","starred_url":"https://api.github.com/users/marcrocasalonso/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/marcrocasalonso/subscriptions","organizations_url":"https://api.github.com/users/marcrocasalonso/orgs","repos_url":"https://api.github.com/users/marcrocasalonso/repos","events_url":"https://api.github.com/users/marcrocasalonso/events{/privacy}","received_events_url":"https://api.github.com/users/marcrocasalonso/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":3,"created_at":"2018-10-09T14:33:30Z","updated_at":"2018-10-10T11:06:34Z","closed_at":"2018-10-10T11:06:34Z","author_association":"NONE","body":"Dear Jonathan,\r\n\r\nI want to evaluate de residual in Point Collocation Polynomial Chaos. Chaospy have some function to known the orthogonal base matrix? I want to do this operation:\r\n\r\nBase Matrix * Fourier Coefficients - Evaluations = Residual\r\n\r\nThanks in advance,\r\n\r\nMarc"}}
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