SciML / SciML/ModelOrderReduction.jl

Manifold Boundary Approximation Method (MBAM)

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new-algorithm
Dominant language
Julia
Stars
43
Forks
8
Avg merge
11h 47m
Merged PRs (30d)
14

Description

From the catch-all tracking issue https://github.com/SciML/ModelOrderReduction.jl/issues/78

Implement the Manifold Boundary Approximation Method (MBAM) for geometric/parameter reduction of complex models.

https://arxiv.org/abs/1605.08705

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

The issue names no files, tests, or entry points. Start by reviewing tracking issue #78 and the cited MBAM paper to define the geometric and parameter-reduction scope. Done means implementing MBAM for complex models in this repository, with the expected behavior and validation established from that research.

Written by the indexing model from the issue text.

Assessment

Tech stack
julia
Domain
hpc
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Active
Clarity
Needs clarification
Newbie friendliness
25/100

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