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amber

Multivariate Bernstein polynomials

https://github.com/octoflar/amber

Science Score: 57.0%

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    Found 4 DOI reference(s) in README
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    Low similarity (7.9%) to scientific vocabulary

Keywords

multivariate-regression
Last synced: 6 months ago · JSON representation ·

Repository

Multivariate Bernstein polynomials

Basic Info
Statistics
  • Stars: 3
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
multivariate-regression
Created about 3 years ago · Last pushed 11 months ago
Metadata Files
Readme License Citation Authors

README.md

Graphical abstract

Amber provides code to evaluate multivariate Bernstein polynomials in TensorFlow using de Casteljau's algorithm. Multivariate Bernstein basis polynomials are particularly useful for linear multivariate regression with linear inequality constraints.

Package CodeQL codecov

Getting started

Amber requires miniconda. To test the Amber software cd into the project root directory and type:

conda env create --file=./environment.yml
conda activate amber
pytest

Further reading

Mama Foupouagnigni, Merlin Mouafo Wouodjié (2020). "On Multivariate Bernstein Polynomials" Mathematics 8, 1397. https://doi.org/10.3390/math8091397

Esmeralda Mainar, J.M. Pena (2006). "Evaluation algorithms for multivariate polynomials in Bernstein-Bezier form." Journal of Approximation Theory 143, 44-61. https://doi.org/10.1016/j.jat.2006.05.007.

Owner

  • Name: R. Quast
  • Login: octoflar
  • Kind: user
  • Location: Hamburg, Germany

Citation (CITATION.cff) 

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: Amber - Multivariate Bernstein polynomials
message: >-
  If you use this software, please cite it using these
  metadata.
type: software
authors:
  - family-names: Quast
    given-names: Ralf
    orcid: 'https://orcid.org/0000-0002-6857-6503'
repository-code: 'https://github.com/octoflar/amber'
url: 'https://octoflar.github.io/amber'
abstract: >-
  Amber provides code to evaluate multivariate Bernstein
  polynomials in TensorFlow using de Casteljau's algorithm.
  Multivariate Bernstein basis polynomials are particularly
  useful for linear multivariate regression with linear
  inequality constraints.
keywords:
  - multivariate regression
license: MIT

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