OpenMDAO1 | performance computing platform for systems analysis

by OpenMDAO Python Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | OpenMDAO1 Summary

OpenMDAO1 is a Python library. OpenMDAO1 has no bugs, it has no vulnerabilities, it has build file available and it has low support. However OpenMDAO1 has a Non-SPDX License. You can download it from GitHub.

This code, now known as OpenMDAO1, is now supplanted by the OpenMDAO 2.0.x Alpha. The OpenMDAO 1.7.3 codebase repo has been renamed to OpenMDAO1, and it resides here at The OpenMDAO 2.0.x code has taken the name OpenMDAO, and it resides at Installation of 2.0.x code will now work with pip install openmdao. Installation of 1.7.3 code will now only work with a version specifier: pip install openmdao==1.7.3. To use the OpenMDAO v0.x legacy version (versions 0.13.0 and older) of the OpenMDAO-Framework, go here: To install OpenMDAO 1.X : Install Python, Pip, Numpy, and Scipy. (Anaconda Python, comes bundled with everything you need: ).

Support

Quality

Security

License

Reuse

Support

OpenMDAO1 has a low active ecosystem.

It has 119 star(s) with 86 fork(s). There are 38 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 7 have been closed. On average issues are closed in 196 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of OpenMDAO1 is current.

Quality

OpenMDAO1 has 0 bugs and 0 code smells.

Security

OpenMDAO1 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

OpenMDAO1 code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

OpenMDAO1 has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

OpenMDAO1 releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

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

OpenMDAO1 saves you 20427 person hours of effort in developing the same functionality from scratch.

It has 40205 lines of code, 2632 functions and 254 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed OpenMDAO1 and discovered the below as its top functions. This is intended to give you an instant insight into OpenMDAO1 implemented functionality, and help decide if they suit your requirements.

Calculate gradient ln_solver .
Compute the Jacobian .
Assemble derivative data
Run the optimizer .
Parse data from file .
Plot the low Earth orbit .
Build runlist .
Setup the data transfer .
Compute complex step Jacobian .
Generate documentation for OpenMDAO source .

Get all kandi verified functions for this library.

OpenMDAO1 Key Features

No Key Features are available at this moment for OpenMDAO1.

OpenMDAO1 Examples and Code Snippets

No Code Snippets are available at this moment for OpenMDAO1.

Community Discussions

Trending Discussions on OpenMDAO1

Nested problems in Openmdao2

QUESTION

Nested problems in Openmdao2

Asked 2018-Jul-05 at 12:24

We want to make a nested problem in openmdao2

The toplevel problem: - generate initial parameters for the subproblem using the DOEDriver

Subproblem: - optimize the parameters using ScipyOptimizedriver

There is an example for openmdao1.7 (https://openmdao.readthedocs.io/en/1.7.3/usr-guide/tutorials/subproblem.html), but the subproblem is not present in openmdao2.

Is it possible to do in an other way in openmdao2

...

ANSWER

Answered 2018-Jul-05 at 12:24

There is no built-in subproblem support in OpenMDAO2 as of version 2.3. For your specific case, all you have to do is write your own component wrapper for the problem you want to use as a sub-problem.

Alternatively, you could consider writing your own custom driver that combined the DOE driver and optimizers.

Source https://stackoverflow.com/questions/51189162

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

Vulnerabilities

No vulnerabilities reported

Install OpenMDAO1

You can download it from GitHub.
You can use OpenMDAO1 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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