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- Supplying multidimensional initial guess to `curvefit` · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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1537140981 | https://github.com/pydata/xarray/issues/7768#issuecomment-1537140981 | https://api.github.com/repos/pydata/xarray/issues/7768 | IC_kwDOAMm_X85bnuj1 | mgunyho 20118130 | 2023-05-06T13:18:47Z | 2023-05-06T13:18:47Z | CONTRIBUTOR | I implemented this for I can also do this for the bounds, just didn't have time to do it yet. How do you think the multidimensional bounds should be passed? As a tuple of arrays, or as an array of tuples, or something else? To me, it would make most sense to pass them as tuples of "things that can be broadcast", so that e.g. the lower bound of can be a scalar 0, but the upper bound could vary. |
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Supplying multidimensional initial guess to `curvefit` 1674818753 |
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