ModelingToolkitBase
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
Ecosystem
juliahub.com
juliahub.com
Latest Release
27 days ago
1.14.0
27 days ago
Versions
30
30
Downloads
1,593 total
1,593 total
Links
| Registry | juliahub.com |
| Source | Repository |
| Homepage | Homepage |
| Docs | Documentation |
| JSON API | View JSON |
| CodeMeta | codemeta.json |
Package Details
| PURL |
pkg:julia/ModelingToolkitBase
spec |
| License | MIT |
| First Release | 3 months ago |
| Last Synced | 7 days ago |
Keywords
differential-equations ode dae ordinary-differential-equations pde sde dde stochastic-differential-equations delay-differential-equations julia symbolic symbolic-computation symbolic-numerics computer-algebra sciml scientific-machine-learning optimization nonlinear-programming acausal equation-based
differential-equations ode dae ordinary-differential-equations pde sde dde stochastic-differential-equations delay-differential-equations julia symbolic symbolic-computation symbolic-numerics computer-algebra sciml scientific-machine-learning optimization nonlinear-programming acausal equation-based