`NonlinearSolveSciPy`

High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.

Ecosystem
juliahub.com

Latest Release
1.3.0
4 months ago

Versions
4

1.3.0

Published: 4 months ago
Registry - Documentation -

1.2.0

Published: 5 months ago
Registry - Documentation -

1.1.0

Published: 6 months ago
Registry - Documentation -

1.0.0

Published: 9 months ago
Registry - Documentation -

Links

Registry	juliahub.com
Source	Repository
Homepage	Homepage
Docs	Documentation
JSON API	View JSON
CodeMeta	codemeta.json

Package Details

PURL	`pkg:julia/NonlinearSolveSciPy` spec
License	MIT
First Release	9 months ago
Last Synced	29 days ago

Keywords
nonlinear-equations steady-state equilibrium deep-equilibrium-models bracketing newton-raphson sparse-matrices high-performance-computing differential-equations factorization julia newton-krylov newton-method scientific-machine-learning sciml sparse-matrix

Repository

Stars	275 on GitHub
Forks	54 on GitHub
Commits	1050
Committers	48
Avg per Author	21.875
DDS	0.581

commits.ecosyste.ms

repos.ecosyste.ms

Funding

https://github.com/sponsors/SciML

ecosyste.ms

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