{"action":"opened","issue":{"url":"https://api.github.com/repos/convexopt/gpkit/issues/171","labels_url":"https://api.github.com/repos/convexopt/gpkit/issues/171/labels{/name}","comments_url":"https://api.github.com/repos/convexopt/gpkit/issues/171/comments","events_url":"https://api.github.com/repos/convexopt/gpkit/issues/171/events","html_url":"https://github.com/convexopt/gpkit/issues/171","id":60010326,"number":171,"title":"Exploiting DCP rules for log-log convexity, GGP","user":{"login":"whoburg","id":6042395,"avatar_url":"https://avatars.githubusercontent.com/u/6042395?v=3","gravatar_id":"","url":"https://api.github.com/users/whoburg","html_url":"https://github.com/whoburg","followers_url":"https://api.github.com/users/whoburg/followers","following_url":"https://api.github.com/users/whoburg/following{/other_user}","gists_url":"https://api.github.com/users/whoburg/gists{/gist_id}","starred_url":"https://api.github.com/users/whoburg/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/whoburg/subscriptions","organizations_url":"https://api.github.com/users/whoburg/orgs","repos_url":"https://api.github.com/users/whoburg/repos","events_url":"https://api.github.com/users/whoburg/events{/privacy}","received_events_url":"https://api.github.com/users/whoburg/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/convexopt/gpkit/labels/enhancement","name":"enhancement","color":"0052cc"}],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":0,"created_at":"2015-03-05T20:24:41Z","updated_at":"2015-03-05T20:24:41Z","closed_at":null,"body":"Get DCP rules for free via cvxpy\r\n@SteveDiamond interested in helping\r\n\r\nExample: sum of the largest 5 posynomials out of 10 is a log-log convex function.\r\nExample: might lead to being able to solve mixed-linear GPs.\r\nExample: modeling exp(x)\r\nExample: modeling -log(1-x) ??\r\n\r\nWould need to solve these with exponential cone solvers, not GP solvers. Exponential cone solver options: SCS, ECOS (soon, good), cvxopt (via general convex solver)."}}