{"action":"closed","issue":{"url":"https://api.github.com/repos/embotech/ecos/issues/76","labels_url":"https://api.github.com/repos/embotech/ecos/issues/76/labels{/name}","comments_url":"https://api.github.com/repos/embotech/ecos/issues/76/comments","events_url":"https://api.github.com/repos/embotech/ecos/issues/76/events","html_url":"https://github.com/embotech/ecos/issues/76","id":39873445,"number":76,"title":"Solution unbounded when should be 0","user":{"login":"madeleineudell","id":829940,"avatar_url":"https://avatars.githubusercontent.com/u/829940?v=3","gravatar_id":"","url":"https://api.github.com/users/madeleineudell","html_url":"https://github.com/madeleineudell","followers_url":"https://api.github.com/users/madeleineudell/followers","following_url":"https://api.github.com/users/madeleineudell/following{/other_user}","gists_url":"https://api.github.com/users/madeleineudell/gists{/gist_id}","starred_url":"https://api.github.com/users/madeleineudell/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/madeleineudell/subscriptions","organizations_url":"https://api.github.com/users/madeleineudell/orgs","repos_url":"https://api.github.com/users/madeleineudell/repos","events_url":"https://api.github.com/users/madeleineudell/events{/privacy}","received_events_url":"https://api.github.com/users/madeleineudell/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"milestone":null,"comments":3,"created_at":"2014-08-09T00:18:26Z","updated_at":"2015-02-02T22:14:05Z","closed_at":"2015-02-02T22:14:05Z","body":"The following cvxpy problem returns 'unbounded' for n>5:\r\n```\r\nx = Variable()\r\ne = 0\r\nfor i in range(10):\r\n    e += x\r\np = Problem(Minimize(e), [x>=0])\r\np.solve(\"ECOS\")\r\n```\r\nThis corresponds to the ECOS problem with data:\r\n```\r\n(array([ 10.]),\r\n <1x1 sparse matrix of type '<type 'numpy.float64'>'\r\n\twith 1 stored elements in Compressed Sparse Column format>,\r\n array([-0.]),\r\n {'ep': 0, 'f': 0, 'l': 1, 'q': [], 's': []},\r\n <0x1 sparse matrix of type '<type 'numpy.float64'>'\r\n\twith 0 stored elements in Compressed Sparse Column format>,\r\n array([], dtype=float64))\r\n```"}}