SimplexSolver | Python script that solves standard linear programs with the Simplex algorithm and outputs step-by-st | Learning library

by MichaelStott Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | SimplexSolver Summary

SimplexSolver is a Python library typically used in Tutorial, Learning, Example Codes, Latex applications. SimplexSolver has no bugs, it has no vulnerabilities and it has low support. However SimplexSolver build file is not available. You can download it from GitHub.

Python script that solves standard linear programs with the Simplex algorithm and outputs step-by-step LaTeX instructions.

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SimplexSolver has a low active ecosystem.

It has 59 star(s) with 20 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 2 have been closed. On average issues are closed in 154 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of SimplexSolver is current.

Quality

SimplexSolver has 0 bugs and 0 code smells.

Security

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

SimplexSolver code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

SimplexSolver 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

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

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

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

SimplexSolver saves you 228 person hours of effort in developing the same functionality from scratch.

It has 558 lines of code, 38 functions and 2 files.

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

Top functions reviewed by kandi - BETA

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

Run the Simplex algorithm
Add the final solution doc
Generate the documentation for the current solution
Print the tableau

Get all kandi verified functions for this library.

SimplexSolver Key Features

No Key Features are available at this moment for SimplexSolver.

SimplexSolver Examples and Code Snippets

No Code Snippets are available at this moment for SimplexSolver.

Community Discussions

Trending Discussions on SimplexSolver

linear programming - how to set variable to be 0 or 1?

Possible to get shadow prices with org.apache.commons.math3.optim?

Apache commons SimplexSolver: OutOfMemoryError

Apache common SimplexSolver LinearConstraint with OR condition

Apache commons math 3: always getting UnboundedSolutionException when constructing a model

QUESTION

linear programming - how to set variable to be 0 or 1?

Asked 2020-Jan-21 at 22:16

I am trying to apply linear programming for my problem using Apache commons Math library. I saw an example online to solve the following example

...

ANSWER

Answered 2019-Aug-23 at 00:07

Well... no. Not within the bounds of linear programming. The reason is that in linear programming your constraints must be linear, and your solution space must be convex. The constraint of either 1 or 0 is not linear. The solution space {0, 1} in the real numbers is not convex (proof: the average of 0 and 1 is .5 and is not in the solution space).

The solver you're using in your code runs the Simplex algorithm, a very popular linear program solver, but it really only solves pure linear programs.

To get either 0 or 1 you need integer linear programming, which is a little different. Basically, it's linear programming but with all (or some, in the case of mixed integer linear programming) values forced to be integers. The specifics are a bit out of scope for Stack Overflow (check out the Math Stack Exchange!); suffice it to say it's not linear programming but it is doable, and there are libraries that let you do it. There are even algorithms for it that are fairly easy to understand (e.g. branch and bound) albeit not a walk in the park to implement (they're generally the sorts of algorithms you want to let someone else implement, rather than roll your own).

If this makes you say "I need an integer linear program solver!" then you might be interested in this question and this question.

Source https://stackoverflow.com/questions/57618197

QUESTION

Possible to get shadow prices with org.apache.commons.math3.optim?

Asked 2019-Jan-10 at 16:17

I have a large LP problem looking like:

...

ANSWER

Answered 2019-Jan-10 at 16:17

It does not return duals. You can probably retrieve them from the final tableau but that may require some plumbing.

It is noted that this is not a good solver for any but the smallest LP problems. It is not a serious algorithm but rather a textbook chapter 1 implementation of the full tableau simplex method. Not recommended for large problems.

Source https://stackoverflow.com/questions/54128506

QUESTION

Apache commons SimplexSolver: OutOfMemoryError

Asked 2018-Jan-22 at 10:20

I have a problem with 841 variables and 23382 constraints (not particularly large for LP).

Nevertheless, i get an OutOfMemoryError when using the Apache SimplexSolver, even for a heap size of 1GB.

According to the error trace this happens when creating the Tableau. The matrix is quite sparse as most of the constraints only involve two or three variables. For the LinearConstraints i'm using the SparseRealVector (though not sure if it brings anything).

Is there anything i can configure on the solver to overcome this problem? Or is this simply a limitation of the simplex solver?

Thank you

An example below:

...

ANSWER

Answered 2018-Jan-22 at 10:20

To summarise the comments above into an answer:

This solver is a really a very simplistic implementation, basically using a dense text book algorithm (no one should use that in a practical implementation). There are much better solvers around, including solvers that deal with large sparse problems in a much more efficient way.
Coin CLP is a good LP solver and there is a java interface. Others include glpk and google Or-Tools.

Source https://stackoverflow.com/questions/48363017

QUESTION

Apache common SimplexSolver LinearConstraint with OR condition

Asked 2017-Nov-29 at 09:42

I use SimplexSolver to solve a linear problem from apache-commons: org.apache.commons.math3.optim.linear.SimplexSolver

But I have a condition

...

ANSWER

Answered 2017-Nov-29 at 09:42

Sorry, you can't do that with a continuous LP solver. You need MIP (Mixed Integer Programming) capabilities for this.

E.g.

Source https://stackoverflow.com/questions/47546598

QUESTION

Apache commons math 3: always getting UnboundedSolutionException when constructing a model

Asked 2017-May-28 at 20:06

i want to solve the following model with commons math 3 from apache:

...

ANSWER

Answered 2017-May-28 at 20:04

Never used that lib, but the docs tell you this:

public NonNegativeConstraint(boolean restricted)

Parameters:

restricted - If true, all the variables must be positive.

And you are doing exactly the opposite:

Source https://stackoverflow.com/questions/44231196

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

Vulnerabilities

No vulnerabilities reported

Install SimplexSolver

You can download it from GitHub.
You can use SimplexSolver 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

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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