future work for MIQCQP support
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 35/100
Research direction
Start by reviewing the existing miqps_(), miqcqps_master(), qcqps_master(), and qps_master() entry points to understand the current solver and pricing behavior. Select and scope one item from the list, then define its supported options, output fields, and solver behavior before implementation. Done means the selected MIQCQP capability is implemented and covered by the relevant tests.
Written by the indexing model from the issue text.
Description
Here is a short list of items that would be nice to include (eventually) for MIQCQP support.
- Support for more solvers (CPLEX, MOSEK, Artelys Knitro?)
miqcqps_cplex()miqcqps_knitro()miqcqps_mosek()
- Support for running a pricing stage after the mixed integer solve, in order to compute shadow prices (like the
miqps_<solver>functions do).- With
skip_pricesandprice_stage_warn_toloption support.
- With
- Support for
mip_gapandmip_gap_absoptions. - Support for
mip_gapfield inoutput. - Make
miqcqps_master()callmiqps_master()explicitly for a problem with no quadratic constraints (I think).- Same for
qcqps_master()andqps_master().
- Same for
- Dominant language
- MATLAB
- Stars
- 10
- Forks
- 5
- PR merge metrics
- No merged PRs in 30d
Getting set up
- No Dockerfile or Docker Compose file
- No pull request template
- Read the contributing guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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