#cvxpy — Public Fediverse posts

As an experiment, I began a complete rewrite of [CVXR](https://cvxr.rbind.io) from ground up exploiting [S7](https://cran.r-project.org/web/packages/S7/index.html) classes in R. See what was accomplished using Claude code:

Slides and Video: https://naras.su.domains/blog/

TL;DR : See slide 25
#rstats #python #cvxpy #claude

As an experiment, I began a complete rewrite of [CVXR](https://cvxr.rbind.io) from ground up exploiting [S7](https://cran.r-project.org/web/packages/S7/index.html) classes in R. See what was accomplished using Claude code:

Slides and Video: https://naras.su.domains/blog/

TL;DR : See slide 25
#rstats #python #cvxpy #claude

As an experiment, I began a complete rewrite of [CVXR](https://cvxr.rbind.io) from ground up exploiting [S7](https://cran.r-project.org/web/packages/S7/index.html) classes in R. See what was accomplished using Claude code:

Slides and Video: https://naras.su.domains/blog/

TL;DR : See slide 25
#rstats #python #cvxpy #claude

As an experiment, I began a complete rewrite of [CVXR](https://cvxr.rbind.io) from ground up exploiting [S7](https://cran.r-project.org/web/packages/S7/index.html) classes in R. See what was accomplished using Claude code:

Slides and Video: https://naras.su.domains/blog/

TL;DR : See slide 25
#rstats #python #cvxpy #claude

As an experiment, I began a complete rewrite of [CVXR](https://cvxr.rbind.io) from ground up exploiting [S7](https://cran.r-project.org/web/packages/S7/index.html) classes in R. See what was accomplished using Claude code:

Slides and Video: https://naras.su.domains/blog/

TL;DR : See slide 25
#rstats #python #cvxpy #claude

小売業における数理最適化事例
https://qiita.com/mizoguchi_ryosuke/items/80a86b5ada2c41687a3b?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items

#qiita #Python #数理最適化 #cvxpy #小売業

小売業における数理最適化事例
https://qiita.com/mizoguchi_ryosuke/items/80a86b5ada2c41687a3b?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items

#qiita #Python #数理最適化 #cvxpy #小売業

小売業における数理最適化事例
https://qiita.com/mizoguchi_ryosuke/items/80a86b5ada2c41687a3b?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items

#qiita #Python #数理最適化 #cvxpy #小売業

小売業における数理最適化事例
https://qiita.com/mizoguchi_ryosuke/items/80a86b5ada2c41687a3b?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items

#qiita #Python #数理最適化 #cvxpy #小売業

#cvxpy #cbc #cylp
Не могу найти, где раньше жил PyArray_DOUBLE
Потому что теперь его там нет.
А без него не собрать CyLP

cylp/cpp/ICbcModel.cpp:11:58: error:
‘PyArray_DOUBLE’ was not declared in this scope

#cvxpy #cbc #cylp
Не могу найти, где раньше жил PyArray_DOUBLE
Потому что теперь его там нет.
А без него не собрать CyLP

cylp/cpp/ICbcModel.cpp:11:58: error:
‘PyArray_DOUBLE’ was not declared in this scope

Production mix - Conclusions
We built a linear program in six Python libraries: #Pyomo, #PuLP, #ORTools, #Gekko, #CVXPY, and #SciPy.
This blog article summarizes our conclusions from using each of the libraries. We also indicate which library we prefer for various types of optimization modelling.
https://www.solvermax.com/blog/production-mix-conclusions
#orms #Python #DataScience #optimization

Production mix - Conclusions
We built a linear program in six Python libraries: #Pyomo, #PuLP, #ORTools, #Gekko, #CVXPY, and #SciPy.
This blog article summarizes our conclusions from using each of the libraries. We also indicate which library we prefer for various types of optimization modelling.
https://www.solvermax.com/blog/production-mix-conclusions
#orms #Python #DataScience #optimization

Production mix - Conclusions
We built a linear program in six Pythons libraries: #Pyomo, #PuLP, #ORTools, #Gekko, #CVXPY, and #SciPy.
This blog article summarizes our conclusions from using each of the libraries. We also indicate which library we prefer for various types of optimization modelling.
https://www.solvermax.com/blog/production-mix-conclusions
#orms #Python #DataScience #optimization

Production mix - Conclusions
We built a linear program in six Python libraries: #Pyomo, #PuLP, #ORTools, #Gekko, #CVXPY, and #SciPy.
This blog article summarizes our conclusions from using each of the libraries. We also indicate which library we prefer for various types of optimization modelling.
https://www.solvermax.com/blog/production-mix-conclusions
#orms #Python #DataScience #optimization

Production mix - Conclusions
We built a linear program in six Python libraries: #Pyomo, #PuLP, #ORTools, #Gekko, #CVXPY, and #SciPy.
This blog article summarizes our conclusions from using each of the libraries. We also indicate which library we prefer for various types of optimization modelling.
https://www.solvermax.com/blog/production-mix-conclusions
#orms #Python #DataScience #optimization

📖 Convex Optimization for Machine Learning by Changho Suh

#machineLearning #optimization #python #tensorflow #keras #cvxpy #free #pdf

https://www.nowpublishers.com/Article/BookDetails/9781638280521

Production mix - Model 10, CVXPY
We build Model 10 of the Python "Production mix" series.
Our objective is to compare a model built using CVXPY with the same model built using Pyomo.
#orms #Python #DataScience #optimization #Pyomo #CVXPY
https://www.solvermax.com/blog/production-mix-model-10-cvxpy

Production mix - Model 10, CVXPY
We build Model 10 of the Python "Production mix" series.
Our objective is to compare a model built using CVXPY with the same model built using Pyomo.
#orms #Python #DataScience #optimization #Pyomo #CVXPY
https://www.solvermax.com/blog/production-mix-model-10-cvxpy

Production mix - Model 10, CVXPY
We build Model 10 of the Python "Production mix" series.
Our objective is to compare a model built using CVXPY with the same model built using Pyomo.
#orms #Python #DataScience #optimization #Pyomo #CVXPY
https://www.solvermax.com/blog/production-mix-model-10-cvxpy