mdolab / mdolab/pyoptsparse

Add function to check linear-feasibility of any point

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enhancement stale
Dominant language
Python
Stars
270
Forks
123
Avg merge
1d 18h
Merged PRs (30d)
3

Description

Type of issue

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Select the appropriate type(s) that describe this issue

  • New feature (non-breaking change which adds functionality)

Description

Add a function which will check whether a point satisfies the linear constraints specified for the optimization problem. This only requires (hopefully sparse) matrix-vector products so is cheap enough to do. This can be used to check, for example, whether the initial point of an optimization is feasible wrt the linear constraints given.

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First steps

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  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

No file, test, or entry point is named. Start by locating the optimization-problem API for linear constraints and its matrix-vector operations; the work is done when a function can check whether any supplied point satisfies those constraints, including an initial optimization point.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
backend
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
30/100

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