Curve Fitting Application as a Tutorial #1

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opened 2025-09-13 12:03:29 +03:00 by ougur · 1 comment
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Soon, I wish to write a small tutorial under /tutorials folder (in my forked repo) for how to use the algorithms (methods) to compute the model that best fits (in some sense) to the given data. Here is a tentative plan of mine:

  1. Description of the Basics of Curve Fitting
  2. Use Algorithms (in numethods) to compute a polynomial model (we may then enhance later in the repo data-fitting-models or elsewhere) to fit to the given data
  3. Implement a curve_fit using polynomial basis to the methods in numethods so that we may directly use it.
Soon, I wish to write a small tutorial under `/tutorials` folder (in my forked repo) for how to use the algorithms (methods) to compute the model that best fits (in some sense) to the given data. Here is a tentative plan of mine: 1. Description of the Basics of Curve Fitting 2. Use Algorithms (in `numethods`) to compute a *polynomial* model (we may then enhance later in the repo `data-fitting-models` or elsewhere) to fit to the given data 3. Implement a `curve_fit` using polynomial basis to the methods in `numethods` so that we may directly use it.
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Thanks for the merge.

Thanks for the merge.
ougur closed this issue 2025-09-14 14:05:18 +03:00
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Reference: denizdonmez/numethods#1
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