OK done @benmsanderson.bsky.social @jquaas.bsky.social @rustneversleeps.bsky.social
github.com/chrisroadmap...
I'll work on improving the climate model and updating the socioeconomic assumptions soon, as was done in this paper (iopscience.iop.org/article/10.1...).
github.com/chrisroadmap...
I'll work on improving the climate model and updating the socioeconomic assumptions soon, as was done in this paper (iopscience.iop.org/article/10.1...).
November 17, 2024 at 8:56 PM
OK done @benmsanderson.bsky.social @jquaas.bsky.social @rustneversleeps.bsky.social
github.com/chrisroadmap...
I'll work on improving the climate model and updating the socioeconomic assumptions soon, as was done in this paper (iopscience.iop.org/article/10.1...).
github.com/chrisroadmap...
I'll work on improving the climate model and updating the socioeconomic assumptions soon, as was done in this paper (iopscience.iop.org/article/10.1...).
This is how I feel except they're also the only models I've had success with for my science work :/
You see + know a lot more than me though - maybe I haven't tried the right model(s) or workflow(s)? It's generally the bioinformatics + niche python pkg (pyomo) that I end up having to debug w claude
You see + know a lot more than me though - maybe I haven't tried the right model(s) or workflow(s)? It's generally the bioinformatics + niche python pkg (pyomo) that I end up having to debug w claude
June 14, 2026 at 10:16 PM
This is how I feel except they're also the only models I've had success with for my science work :/
You see + know a lot more than me though - maybe I haven't tried the right model(s) or workflow(s)? It's generally the bioinformatics + niche python pkg (pyomo) that I end up having to debug w claude
You see + know a lot more than me though - maybe I haven't tried the right model(s) or workflow(s)? It's generally the bioinformatics + niche python pkg (pyomo) that I end up having to debug w claude
🐧 **Pyomo – object-oriented algebraic modeling language**
Pyomo is an object-oriented algebraic modeling language designed for formulating, analyzing, and solving structured optimization problems. The post Pyomo – object-oriented algebraic modeling langua...
📰 Source: LinuxLinks
🔗 Link […]
Pyomo is an object-oriented algebraic modeling language designed for formulating, analyzing, and solving structured optimization problems. The post Pyomo – object-oriented algebraic modeling langua...
📰 Source: LinuxLinks
🔗 Link […]
Original post on igeek.gamer-geek-news.com
igeek.gamer-geek-news.com
June 15, 2026 at 9:01 AM
🐧 **Pyomo – object-oriented algebraic modeling language**
Pyomo is an object-oriented algebraic modeling language designed for formulating, analyzing, and solving structured optimization problems. The post Pyomo – object-oriented algebraic modeling langua...
📰 Source: LinuxLinks
🔗 Link […]
Pyomo is an object-oriented algebraic modeling language designed for formulating, analyzing, and solving structured optimization problems. The post Pyomo – object-oriented algebraic modeling langua...
📰 Source: LinuxLinks
🔗 Link […]
just spent the last 30+ min basically proselytizing pyomo to my labmates oops 🙊
#Python #MathematicalModeling
#Python #MathematicalModeling
May 12, 2025 at 8:18 PM
just spent the last 30+ min basically proselytizing pyomo to my labmates oops 🙊
#Python #MathematicalModeling
#Python #MathematicalModeling
New week, a new blog post about optimization. This time about a new modeling framework in Python called "pyOptInterface". Is it any good? Where does it fall short? Let's find out!
oberdieck.dk/2025/05/25/p...
#modeling #optimization #pyoptinterface #pyomo #blog
oberdieck.dk/2025/05/25/p...
#modeling #optimization #pyoptinterface #pyomo #blog
pyOptInterface - what can it do? - Richard Oberdieck
pyOptInterface just turned 1 year old, and I finally had an opportunity to take it for a spin. Let's have a look!
oberdieck.dk
May 26, 2025 at 9:02 PM
New week, a new blog post about optimization. This time about a new modeling framework in Python called "pyOptInterface". Is it any good? Where does it fall short? Let's find out!
oberdieck.dk/2025/05/25/p...
#modeling #optimization #pyoptinterface #pyomo #blog
oberdieck.dk/2025/05/25/p...
#modeling #optimization #pyoptinterface #pyomo #blog
Locational marginal pricing of potatoes
We apply Locational Marginal Pricing (LMP) to the supply of potatoes. The article describes the model, calculation of LMPs, and scenarios for how the suppliers and contractors may respond to the price signals.
#orms #pyomo
www.solvermax.com/blog/locatio...
We apply Locational Marginal Pricing (LMP) to the supply of potatoes. The article describes the model, calculation of LMPs, and scenarios for how the suppliers and contractors may respond to the price signals.
#orms #pyomo
www.solvermax.com/blog/locatio...
March 7, 2025 at 10:56 PM
Locational marginal pricing of potatoes
We apply Locational Marginal Pricing (LMP) to the supply of potatoes. The article describes the model, calculation of LMPs, and scenarios for how the suppliers and contractors may respond to the price signals.
#orms #pyomo
www.solvermax.com/blog/locatio...
We apply Locational Marginal Pricing (LMP) to the supply of potatoes. The article describes the model, calculation of LMPs, and scenarios for how the suppliers and contractors may respond to the price signals.
#orms #pyomo
www.solvermax.com/blog/locatio...
I’m learning Pyomo (an optimization package in Python) right now with a focus on their parameter estimation and design of experiments so this is reverse relatable haha
April 30, 2025 at 2:10 AM
I’m learning Pyomo (an optimization package in Python) right now with a focus on their parameter estimation and design of experiments so this is reverse relatable haha
• Open-source toolkits such as Google OR-Tools and Pyomo deliver world-class heuristics, branch-and-cut and CP-SAT engines at zero license cost.
• Domain-specific libraries (e.g., RoutingPy, OptaPlanner) let developers stand up customized solutions in days, not months.
• Domain-specific libraries (e.g., RoutingPy, OptaPlanner) let developers stand up customized solutions in days, not months.
August 24, 2026 at 3:30 PM
• Open-source toolkits such as Google OR-Tools and Pyomo deliver world-class heuristics, branch-and-cut and CP-SAT engines at zero license cost.
• Domain-specific libraries (e.g., RoutingPy, OptaPlanner) let developers stand up customized solutions in days, not months.
• Domain-specific libraries (e.g., RoutingPy, OptaPlanner) let developers stand up customized solutions in days, not months.
Know of any examples that show how to do this in Pyomo/Linopy? I just took a quick look at the GenX GitHub, but it looks like JuMP has its own unique syntax and I haven't programmed in julia before. github.com/GenXProject/...
Here's the current code that uses cvxopt: github.com/RyanCMann/OS...
Here's the current code that uses cvxopt: github.com/RyanCMann/OS...
September 19, 2024 at 6:48 AM
Know of any examples that show how to do this in Pyomo/Linopy? I just took a quick look at the GenX GitHub, but it looks like JuMP has its own unique syntax and I haven't programmed in julia before. github.com/GenXProject/...
Here's the current code that uses cvxopt: github.com/RyanCMann/OS...
Here's the current code that uses cvxopt: github.com/RyanCMann/OS...
lol I just did it with one that sits mostly in vram, it was so much faster. 🙃
So now I can explore context length + model options that’ll work reasonably.
Will be interesting to try a more quantized or smaller model to see if it can still figure out pyomo with the system prompt I needed
So now I can explore context length + model options that’ll work reasonably.
Will be interesting to try a more quantized or smaller model to see if it can still figure out pyomo with the system prompt I needed
May 10, 2026 at 2:28 AM
lol I just did it with one that sits mostly in vram, it was so much faster. 🙃
So now I can explore context length + model options that’ll work reasonably.
Will be interesting to try a more quantized or smaller model to see if it can still figure out pyomo with the system prompt I needed
So now I can explore context length + model options that’ll work reasonably.
Will be interesting to try a more quantized or smaller model to see if it can still figure out pyomo with the system prompt I needed
About one month ago, I have the pleasure of teaching the short course at the University of São Paulo “Computational #Optimization in Python”. Here are free tutorial to learning how to use #Pyomo and its many power extensions: ndcbe.github.io/optimization... #OperationsResearch #OpenSource
Computational Optimization in Python (São Paulo, Brazil) — Optimization for Decision Science
ndcbe.github.io
November 21, 2024 at 11:56 PM
About one month ago, I have the pleasure of teaching the short course at the University of São Paulo “Computational #Optimization in Python”. Here are free tutorial to learning how to use #Pyomo and its many power extensions: ndcbe.github.io/optimization... #OperationsResearch #OpenSource
Feed: "PyPI recent updates"
By: dwg176@gmail.com on Saturday, July 18, 2026
By: dwg176@gmail.com on Saturday, July 18, 2026
pyomo-cvp 0.6.3.1
Control vector parameterization for pyomo.dae: piecewise control profiles by variable elimination instead of linking constraints.
pypi.org
July 18, 2026 at 1:20 AM
Feed: "PyPI recent updates"
By: dwg176@gmail.com on Saturday, July 18, 2026
By: dwg176@gmail.com on Saturday, July 18, 2026
pyomoの変数配列がNumpyじゃないことにうんざり。これで性能出なかったら泣ける。
May 8, 2024 at 8:47 AM
pyomoの変数配列がNumpyじゃないことにうんざり。これで性能出なかったら泣ける。
今のpyomoでそのまま動くTSPの実例はどこにあるんだよ？！
May 8, 2024 at 6:58 AM
今のpyomoでそのまま動くTSPの実例はどこにあるんだよ？！
Pyomo+IPOPTだと相補性条件を扱えなくて、書き下すかPATH使えばいいんだけどPyomo側でなんとかならんかと思ってmpecモジュール眺めてたらSolverFactory("mpec_nlp")を使えばいいらしい
February 25, 2025 at 9:21 PM
Pyomo+IPOPTだと相補性条件を扱えなくて、書き下すかPATH使えばいいんだけどPyomo側でなんとかならんかと思ってmpecモジュール眺めてたらSolverFactory("mpec_nlp")を使えばいいらしい
Even though pyomo (Python library for mathematical optimization, github.com/Pyomo/pyomo) is heavily used in this book, the theory is also well explained. Great job 👍
Hands-On Mathematical Optimization with Python — Companion code for the book "Hands-On Mathematical Optimization with Python"
mobook.github.io
June 2, 2024 at 9:43 PM
Even though pyomo (Python library for mathematical optimization, github.com/Pyomo/pyomo) is heavily used in this book, the theory is also well explained. Great job 👍
Other solver systems look kind of like this at the 20000 foot level. Cvxpy, pyomo pysat etc.
May 20, 2026 at 2:08 PM
Other solver systems look kind of like this at the 20000 foot level. Cvxpy, pyomo pysat etc.
If you're using JuMP (or Pyomo or Linopy) already, it is seamless to switch the optimizer you are using. Check out the notebooks for Julia/JuMP power systems models from my course here for examples using HiGHS
github.com/Power-System...
github.com/Power-System...
GitHub - Power-Systems-Optimization-Course/power-systems-optimization: Power systems optimization course materials
Power systems optimization course materials. Contribute to Power-Systems-Optimization-Course/power-systems-optimization development by creating an account on GitHub.
github.com
September 18, 2024 at 1:18 PM
If you're using JuMP (or Pyomo or Linopy) already, it is seamless to switch the optimizer you are using. Check out the notebooks for Julia/JuMP power systems models from my course here for examples using HiGHS
github.com/Power-System...
github.com/Power-System...
(2/4) As the name implies, the book is hands-on with Python examples, mainly using Pyomo. The book covers different optimization methods, such as:
✅ Mathematical Optimization
✅ Linear Optimization
✅ Network Optimization
✅ Convex Optimization
✅ Stochastic Optimization
✅ Mathematical Optimization
✅ Linear Optimization
✅ Network Optimization
✅ Convex Optimization
✅ Stochastic Optimization
May 18, 2024 at 1:45 PM
(2/4) As the name implies, the book is hands-on with Python examples, mainly using Pyomo. The book covers different optimization methods, such as:
✅ Mathematical Optimization
✅ Linear Optimization
✅ Network Optimization
✅ Convex Optimization
✅ Stochastic Optimization
✅ Mathematical Optimization
✅ Linear Optimization
✅ Network Optimization
✅ Convex Optimization
✅ Stochastic Optimization
I first learned how to do optimization in MATLAB, so I'm used to manually creating the A matrices and b/c vectors when setting up LPs, & can't figure out how to set up multi-timestep energy-modeling problems using packages like Pyomo/Linopy where equations are written out algebraically.
September 19, 2024 at 6:44 AM
I first learned how to do optimization in MATLAB, so I'm used to manually creating the A matrices and b/c vectors when setting up LPs, & can't figure out how to set up multi-timestep energy-modeling problems using packages like Pyomo/Linopy where equations are written out algebraically.