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tf-for-splineapprox

Spline Approximation with TensorFlow Gradient Descent Optimizers for Use in Cam Approximation

https://github.com/hawaclawek/tf-for-splineapprox

Science Score: 57.0%

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Repository

Spline Approximation with TensorFlow Gradient Descent Optimizers for Use in Cam Approximation

Basic Info
  • Host: GitHub
  • Owner: hawaclawek
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage:
  • Size: 9.96 MB
Statistics
  • Stars: 1
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 4 years ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation

README.md

Spline Approximation with TensorFlow Gradient Descent Optimizers for Use in Cam Approximation

Follow-up work / code: https://github.com/JRC-ISIA/ml-optimized-orthogonal-basis-1d-pp

Experimental Python code developed for research on paper "Ck-continuous Spline Approximation with TensorFlow Gradient Descent Optimizers", doi: https://doi.org/10.1007/978-3-031-25312-668.
If you use this software or parts of it, please cite as outlined in _CITATION.cff.

Experiments

Folder experiments includes test runs performed for research on paper "Ck-continuous Spline Approximation with TensorFlow Gradient Descent Optimizers", doi: https://doi.org/10.1007/978-3-031-25312-6_68.

Module tfspline

Allows fitting of polynomial splines of arbitrary degree and C^k-continuity.

Sine

Usage

The following Jupyter Notebooks demostrate usage and main functionalities:
- demobasics.ipynb: Import cam tables, fit spline to data and visualize results
- _demooptions.ipynb_: Demonstrates some configuration options

Owner

  • Login: hawaclawek
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software or parts of it, please cite as below."
authors:
- family-names: "Waclawek"
  given-names: "Hannes"
- family-names: "Huber"
  given-names: "Stefan"
title: "Ck-continuous Spline Approximation with TensorFlow Gradient Descent Optimizers"
doi: https://doi.org/10.1007/978-3-031-25312-6_68
date-released: 2023-02-10

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