https://github.com/abelsiqueira/abelsiqueira

https://github.com/abelsiqueira/abelsiqueira

Science Score: 13.0%

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

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 3 DOI reference(s) in README
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (7.2%) to scientific vocabulary
Last synced: 9 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: abelsiqueira
  • Default Branch: master
  • Size: 416 KB
Statistics
  • Stars: 0
  • Watchers: 2
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Created almost 6 years ago · Last pushed over 4 years ago

https://github.com/abelsiqueira/abelsiqueira/blob/master/

# [![Abel Soares Siqueira](https://raw.githubusercontent.com/abelsiqueira/abelsiqueira/master/header.jpg)](https://abelsiqueira.github.io)

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--- [![Abel Siqueira's github stats](https://github-readme-stats.vercel.app/api?username=abelsiqueira&bg_color=1893f8&title_color=f6d110&text_color=ffffff&icon_color=0927eb&count_private=true&show_icons=true)](https://github.com/abelsiqueira/github-readme-stats) ## Research Software Engineer at the Netherlands eScience Center More info soon :tm: ---

## [JuliaSmoothOptimizers](https://github.com/JuliaSmoothOptimizers) I am lead developer of packages inside the JuliaSmoothOptimizers organization. These packages are focused on the development of optimization methods for nonlinear optimization. Some of our main packages: - [**NLPModels.jl**](https://github.com/JuliaSmoothOptimizers/NLPModels.jl): Defines an optimization model and the API to access the problem. The following packages implement this: [AmplNLReader.jl](https://github.com/JuliaSmoothOptimizers/) [CUTEst.jl](https://github.com/JuliaSmoothOptimizers/CUTEst.jl), [NLPModelsJuMP.jl](https://github.com/JuliaSmoothOptimizers/NLPModelsJuMP.jl). - [**Krylov.jl**](https://github.com/JuliaSmoothOptimizers/Krylov.jl): Implement Krylov methods for linear systems and least-squares problems. Uses [LinearOperators.jl](https://github.com/JuliaSmoothOptimizers/LinearOperators.jl) to deal with matrices. - [**CaNNOLeS.jl**](https://github.com/JuliaSmoothOptimizers/CaNNOLeS.jl), [**JSOSolvers.jl**](https://github.com/JuliaSmoothOptimizers/JSOSolvers.jl), [**NLPModelsIpopt.jl**](https://github.com/JuliaSmoothOptimizers/NLPModelsIpopt.jl), [**NLPModelsKnitro.jl**](https://github.com/JuliaSmoothOptimizers/NLPModelsKnitro.jl), [**Percival.jl**](https://github.com/JuliaSmoothOptimizers/Percival.jl): Our nonlinear optimization solvers and wrappers. ---

## [CiDAMO](https://cidamo.com.br) I am co-founder of CiDAMO, a Data Science, Machine Learning, and Optimization study and research group inside the Federal University of Paran in Brazil. We advise students and stimulate discussions about these topics weekly. We have monthly meetups (online) with guest speakers. Check the [website](https://cidamo.com.br) for more information. We have also created one of the first data science events on the university, with 8 companies and several participants, called [CiDWeek](https://cidamo.com.br/CiDWeek/), early 2020. --- ## [ThinkJulia translation to PT-BR](https://juliaintro.github.io/JuliaIntroBR.jl/) I have participated on the translation of the ThinkJulia book to PT-BR, available [here](https://juliaintro.github.io/JuliaIntroBR.jl/). It is a great book to start programming or to learn Julia. ---

## [JILL](https://github.com/abelsiqueira/jill) - Julia Installer 4 Linux (Light) A simple script to install Linux and MacOS using the latest binaries on the page. TL;DR: bash -ci "$(curl -fsSL https://raw.githubusercontent.com/abelsiqueira/jill/master/jill.sh)" --- ## [Perprof-py](https://github.com/ufpr-opt/perprof-py) [![](https://img.shields.io/badge/doi-10.5334/jors.81-70a.svg?style=flat-square)](http://doi.org/10.5334/jors.81) A Python module for performance profiling (as described by Dolan and Mor) with TikZ and matplotlib output.

Owner

  • Name: Abel Soares Siqueira
  • Login: abelsiqueira
  • Kind: user
  • Location: Amsterdam - The Netherlands
  • Company: Netherlands eScience Center

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