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dissertation-code

This repository contains the Matlab code used in the dissertation "Optimal Sampling Methods for Function Approximation on General 2D Domains"

https://github.com/nchmiele/dissertation-code

Science Score: 31.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (1.5%) to scientific vocabulary
Last synced: 7 months ago · JSON representation ·

Repository

This repository contains the Matlab code used in the dissertation "Optimal Sampling Methods for Function Approximation on General 2D Domains"

Basic Info
  • Host: GitHub
  • Owner: nchmiele
  • Default Branch: main
  • Size: 1.95 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created 12 months ago · Last pushed 12 months ago
Metadata Files
Readme Citation

README.md

Dissertation-Code

This repository contains the Matlab code used in the dissertation "Optimal Sampling Methods for Function Approximation on General 2D Domains"

Owner

  • Login: nchmiele
  • Kind: user

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: >-
  Optimal Sampling Methods for Function Approximation on
  General 2D Domains Code
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Nicholas
    email: nicholas.t.chmielewski@gmail.com
    family-names: Chmielewski
repository-code: 'https://github.com/nchmiele/Dissertation-Code'
abstract: >-
  Software used for the results obtained in the dissertation
  "Optimal Sampling Methods for Function Approximation on
  General 2D Domains"
date-released: '2025-04-09'

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