{"action":"created","issue":{"url":"https://api.github.com/repos/scijs/ndarray-blas-level1/issues/15","repository_url":"https://api.github.com/repos/scijs/ndarray-blas-level1","labels_url":"https://api.github.com/repos/scijs/ndarray-blas-level1/issues/15/labels{/name}","comments_url":"https://api.github.com/repos/scijs/ndarray-blas-level1/issues/15/comments","events_url":"https://api.github.com/repos/scijs/ndarray-blas-level1/issues/15/events","html_url":"https://github.com/scijs/ndarray-blas-level1/issues/15","id":145458744,"number":15,"title":"Kahan Summation","user":{"login":"tab58","id":8979140,"avatar_url":"https://avatars.githubusercontent.com/u/8979140?v=3","gravatar_id":"","url":"https://api.github.com/users/tab58","html_url":"https://github.com/tab58","followers_url":"https://api.github.com/users/tab58/followers","following_url":"https://api.github.com/users/tab58/following{/other_user}","gists_url":"https://api.github.com/users/tab58/gists{/gist_id}","starred_url":"https://api.github.com/users/tab58/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/tab58/subscriptions","organizations_url":"https://api.github.com/users/tab58/orgs","repos_url":"https://api.github.com/users/tab58/repos","events_url":"https://api.github.com/users/tab58/events{/privacy}","received_events_url":"https://api.github.com/users/tab58/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":4,"created_at":"2016-04-03T06:12:32Z","updated_at":"2016-04-14T20:40:56Z","closed_at":null,"body":"For the extra added numerical accuracy kick, would it be appropriate to write a Kahan summation algorithm and use it for functions like `dot()`, `nrm2()`, and `asum()` seeing as how they're basically sums anyway?\r\n\r\nI guess the real question here is whether the overhead is worth the extra bit of accuracy. I know I would be interested in getting the accuracy for my own projects, but maybe it's not everyone's focus."},"comment":{"url":"https://api.github.com/repos/scijs/ndarray-blas-level1/issues/comments/210139811","html_url":"https://github.com/scijs/ndarray-blas-level1/issues/15#issuecomment-210139811","issue_url":"https://api.github.com/repos/scijs/ndarray-blas-level1/issues/15","id":210139811,"user":{"login":"rreusser","id":572717,"avatar_url":"https://avatars.githubusercontent.com/u/572717?v=3","gravatar_id":"","url":"https://api.github.com/users/rreusser","html_url":"https://github.com/rreusser","followers_url":"https://api.github.com/users/rreusser/followers","following_url":"https://api.github.com/users/rreusser/following{/other_user}","gists_url":"https://api.github.com/users/rreusser/gists{/gist_id}","starred_url":"https://api.github.com/users/rreusser/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/rreusser/subscriptions","organizations_url":"https://api.github.com/users/rreusser/orgs","repos_url":"https://api.github.com/users/rreusser/repos","events_url":"https://api.github.com/users/rreusser/events{/privacy}","received_events_url":"https://api.github.com/users/rreusser/received_events","type":"User","site_admin":false},"created_at":"2016-04-14T20:40:56Z","updated_at":"2016-04-14T20:40:56Z","body":"Awesome. Will look ASAP."}}