python-mip | Python tools for the modeling and solution of Mixed-Integer

by coin-or Python Version: 1.15.0 License: EPL-2.0

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

kandi X-RAY | python-mip Summary

python-mip is a Python library. python-mip has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. However python-mip build file is not available. You can install using 'pip install python-mip' or download it from GitHub, PyPI.

Python MIP is a collection of Python tools for the modeling and solution of Mixed-Integer Linear programs (MIPs). MIP syntax was inspired by Pulp. Just like CyLP it also provides access to advanced solver features like cut generation, lazy constraints, MIPstarts and solution Pools. Porting Pulp and Gurobi models should be quite easy.

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Quality

Security

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python-mip has a low active ecosystem.

It has 430 star(s) with 77 fork(s). There are 18 watchers for this library.

It had no major release in the last 12 months.

There are 75 open issues and 138 have been closed. On average issues are closed in 299 days. There are 7 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of python-mip is 1.15.0

Quality

python-mip has 0 bugs and 0 code smells.

Security

python-mip has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

python-mip code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

python-mip is licensed under the EPL-2.0 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

python-mip releases are available to install and integrate.

Deployable package is available in PyPI.

python-mip has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are available. Examples and code snippets are not available.

python-mip saves you 11143 person hours of effort in developing the same functionality from scratch.

It has 22574 lines of code, 667 functions and 79 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed python-mip and discovered the below as its top functions. This is intended to give you an instant insight into python-mip implemented functionality, and help decide if they suit your requirements.

Optimize the model
Get double attribute
Clear solr
Get an integer attribute
Generate a set of restriction filter constraints
Filter the model by removing all constraints
Return the constr by name
Optimize the problem
Clear solver
Generate a model
Adds a constraint to the model
Create a new variable tensor
Builds an infeasible model
Write the model to a file
Set objective function
Check that the optimization results are violated
Merge constraints
Set the processing limits
Get a constant expression
Create a model for a given solution
Returns the LinExpr expression
Validate the feasibility of the model
Read the RCPP file
Construct a hierarchy of constraints
Generate cut pool
Add a constraint to the model
Queries the model

Get all kandi verified functions for this library.

python-mip Key Features

No Key Features are available at this moment for python-mip.

python-mip Examples and Code Snippets

No Code Snippets are available at this moment for python-mip.

Community Discussions

Trending Discussions on python-mip

How to make integer optimization with absolute values in python?

Multiple Traveling Salemans Problem with MIP

QUESTION

How to make integer optimization with absolute values in python?

Asked 2020-Sep-29 at 12:18

I have a program where I want to minimize an absolute difference of two variables (an absolute error function). Say:

...

ANSWER

Answered 2020-Sep-28 at 21:08

You can (and should) reformulate. Because you are minimizing the absolute value of a function, you can introduce a dummy variable and 2 constraints on that variable and then minimize the dummy variable to keep it linear. (ABS is a non-linear function).

So, introduce z such that:

Source https://stackoverflow.com/questions/64108936

QUESTION

Multiple Traveling Salemans Problem with MIP

Asked 2020-Jun-14 at 17:28

I've been trying to implement a mTSP in a normal TSP using the already made code in MIP Link

So this is the code I have so far in python and its throwing me an error which I don't understand:

...

ANSWER

Answered 2020-Jun-14 at 17:28

This is a Python issue, not a Gurobi issue. You don't completely understand how nested list-comprehensions work.

We can reproduce this with:

Source https://stackoverflow.com/questions/62365849

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

Vulnerabilities

No vulnerabilities reported

Install python-mip

You can install using 'pip install python-mip' or download it from GitHub, PyPI.
You can use python-mip like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

The full Python-MIP documentation is available at https://docs.python-mip.com/en/latest/. A PDF version is also available: https://python-mip.readthedocs.io/_/downloads/en/latest/pdf/.

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