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An application that illustrates the efficacy of different curve fitting and interpolation models.

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Curve Interpolation

An application that illustrates the efficacy of different curve fitting and interpolation models.

Description

  • User can make polynomial & Spline & Nearest 1-D interpolation.
  • In polynomial interpolation the user can see the equation for every chunk.
  • The user can see the error precentage of fitting curve.
  • The user can generate error map for the curve choosing the x and y axis.

Dependincies

  • python 3.10

Used packege:

PyQt5 pyqtgraph scipy functools numpy pandas matplotlib

to install: pip install [python-library]

Preivew

image image image image


Note: problem in :

  • Overlap fitting.
  • Overlap in Error map.
  • Enhance Design - not important.

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An application that illustrates the efficacy of different curve fitting and interpolation models.

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