pyipopt | A Python connector to IPOPT

by xuy C Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | pyipopt Summary

pyipopt is a C library. pyipopt has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

PyIpopt is a python module that allows you to use [Ipopt] in Python. It is developed by Eric Xu when he was a PhD student at [Washington University] and issued under the BSD license.

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pyipopt has a low active ecosystem.

It has 173 star(s) with 70 fork(s). There are 23 watchers for this library.

It had no major release in the last 6 months.

There are 13 open issues and 22 have been closed. On average issues are closed in 144 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pyipopt is current.

Quality

pyipopt has no bugs reported.

Security

pyipopt has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

pyipopt does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

pyipopt releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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pyipopt Key Features

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pyipopt Examples and Code Snippets

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Community Discussions

Trending Discussions on pyipopt

How to pass options to objective in cyipopt

How to install ipopt for python on Windows using Anaconda

QUESTION

How to pass options to objective in cyipopt

Asked 2021-May-13 at 00:34

I'm trying to pass options to a NLP I'm solving in cyipopt.

These options would for affect the objective in the same way in each iteration. For example, the tutorial problem is to minimize

x_1 * x_4 * (x_1 + x_2 + _3) + x_3

subject to some constraints (see https://pythonhosted.org/ipopt/tutorial.html).

I'd like to solve the related problem

scale * x_1 * x_4 * (x_1 + x_2 + _3) + x_3

where scale is a parameter that is set before optimization. The below code shows how to set up the problem in pyipopt, but the scale is hardcoded as 2. How can I set it as an option so that it can be changed flexibly?

...

ANSWER

Answered 2021-May-13 at 00:34

Add them to the class itself:

Source https://stackoverflow.com/questions/67495549

QUESTION

How to install ipopt for python on Windows using Anaconda

Asked 2020-Apr-19 at 07:22

For my current project i needed a solver. My selection fell on IPOPT.

When trying to install IPOPT for Python using Anaconda i stumbled upon multiple problems.

For example:

conda install ipopt

installed the ipopt package formally but trying to import it afterwards in Python didn't work.

...

ANSWER

Answered 2019-Dec-06 at 13:56

This is what fixed the problem for me and allowed for a clean ipopt installation in a seperate environment:

Source https://stackoverflow.com/questions/59214553

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install pyipopt

First, get the latest source code using:. In your PyIpopt folder, edit setup.py to reflect the configuration of your system, then do.

Support

Create a branch (git checkout -b my_pyipopt). Commit your changes (git commit -am "your awesome message"). Push to the branch (git push origin my_pyipopt). Create a pull request. Nag me about it if I am lazy.

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