Published May 8, 2025
| Version SciMLJacobianOperators-v0.1.4
Software
Open
NonlinearSolve.jl
Description
SciMLJacobianOperators SciMLJacobianOperators-v0.1.4
Diff since SciMLJacobianOperators-v0.1.3
Merged pull requests:
- Add a GPU tutorial (#589) (@ChrisRackauckas)
- Add Alefeld method to documentation page (#591) (@fgittins)
- chore(deps): bump julia-actions/julia-format from 3 to 4 (#592) (@dependabot[bot])
- Update CI_NonlinearSolve.yml (#594) (@ChrisRackauckas)
- Fix test error for non-CUDA machines (#595) (@fgittins)
- early exit in SimpleTrustRegion (#598) (@ChrisRackauckas)
- CompatHelper: bump compat for SciMLOperators to 0.4 for package NonlinearSolveBase, (keep existing compat) (#601) (@github-actions[bot])
- CompatHelper: bump compat for SciMLOperators to 0.4 for package NonlinearSolveQuasiNewton, (keep existing compat) (#602) (@github-actions[bot])
- CompatHelper: bump compat for SciMLOperators to 0.4 for package SciMLJacobianOperators, (keep existing compat) (#603) (@github-actions[bot])
Closed issues:
- Add a tutorial on using SimpleNonlinearSolve inside kernels (#405)
- Solver fail when jac_prototype is BandedMatrix{BigFloat} (#587)
SimpleTrustRegionfails for SCC decomposition of problem (#596)
Notes
Files
SciML/NonlinearSolve.jl-SciMLJacobianOperators-v0.1.4.zip
Files
(352.7 kB)
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Additional details
Related works
- Is supplement to
- Software: https://github.com/SciML/NonlinearSolve.jl/tree/SciMLJacobianOperators-v0.1.4 (URL)
Software
- Repository URL
- https://github.com/SciML/NonlinearSolve.jl