{"action":"created","comment":{"url":"https://api.github.com/repos/odlgroup/odl/pulls/comments/76378598","id":76378598,"diff_hunk":"@@ -118,40 +118,91 @@ def matrix_representation(op):\n     return matrix\n \n \n-def power_method_opnorm(op, niter, xstart=None):\n+def power_method_opnorm(op, xstart=None, maxiter=100, rtol=1e-05, atol=1e-08,\n+                        callback=None):\n     \"\"\"Estimate the operator norm with the power method.\n \n-    The operator norm ``||op(x)||`` is defined by as the smallest number such\n-    that::\n-\n-        ||op(x)|| <= ||op|| ||x||\n-\n-    for all ``x``.\n-\n     Parameters\n     ----------\n     op : `Operator`\n         Operator whose norm is to be estimated. If its `Operator.range`\n         range does not coincide with its `Operator.domain`, an\n         `Operator.adjoint` must be defined (which implies that the\n         operator must be linear).\n-    niter : positive `int`\n-        Number of iterations to perform. If the domain and range of ``op``\n-        do not match, it needs to be an even number.\n     xstart : `Operator.domain` `element`, optional\n         Starting point of the iteration. By default, the ``one``\n         element of the `Operator.domain` is used.\n+    maxiter : positive `int`, optional\n+        Number of iterations to perform. If the domain and range of ``op``\n+        do not match, it needs to be an even number. If None is given, iterate\n+        untill convergence.\n+    rtol : `float`, optional\n+        Relative tolerance parameter (see Notes).\n+    atol : `float`, optional\n+        Absolute tolerance parameter (see Notes).\n+    callback : `callable`, optional\n+        Function called with the current iterate in each iteration.\n \n     Returns\n     -------\n     est_opnorm : `float`\n-        The estimated operator norm\n+        The estimated operator norm of ``op``.\n+\n+    Examples\n+    --------\n+    Verify that the identity operator has norm 1","path":"odl/operator/oputils.py","position":48,"original_position":48,"commit_id":"2d3bf8c3fa1939b8b00ae9085f01872b33d87943","original_commit_id":"2d3bf8c3fa1939b8b00ae9085f01872b33d87943","user":{"login":"adler-j","id":2202312,"avatar_url":"https://avatars.githubusercontent.com/u/2202312?v=3","gravatar_id":"","url":"https://api.github.com/users/adler-j","html_url":"https://github.com/adler-j","followers_url":"https://api.github.com/users/adler-j/followers","following_url":"https://api.github.com/users/adler-j/following{/other_user}","gists_url":"https://api.github.com/users/adler-j/gists{/gist_id}","starred_url":"https://api.github.com/users/adler-j/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/adler-j/subscriptions","organizations_url":"https://api.github.com/users/adler-j/orgs","repos_url":"https://api.github.com/users/adler-j/repos","events_url":"https://api.github.com/users/adler-j/events{/privacy}","received_events_url":"https://api.github.com/users/adler-j/received_events","type":"User","site_admin":false},"body":"Agree on \":\"","created_at":"2016-08-26T07:57:49Z","updated_at":"2016-08-26T07:57:49Z","html_url":"https://github.com/odlgroup/odl/pull/527#discussion_r76378598","pull_request_url":"https://api.github.com/repos/odlgroup/odl/pulls/527","_links":{"self":{"href":"https://api.github.com/repos/odlgroup/odl/pulls/comments/76378598"},"html":{"href":"https://github.com/odlgroup/odl/pull/527#discussion_r76378598"},"pull_request":{"href":"https://api.github.com/repos/odlgroup/odl/pulls/527"}}},"pull_request":{"url":"https://api.github.com/repos/odlgroup/odl/pulls/527","id":82730324,"html_url":"https://github.com/odlgroup/odl/pull/527","diff_url":"https://github.com/odlgroup/odl/pull/527.diff","patch_url":"https://github.com/odlgroup/odl/pull/527.patch","issue_url":"https://api.github.com/repos/odlgroup/odl/issues/527","number":527,"state":"open","locked":false,"title":"ENH: improve implementation of power_method_opnorm to terminate 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