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
23 days ago
1.24.0
23 days ago
Versions
42
42
Downloads
26,704 last month
26,704 last month
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 | 4 months ago |
| Last Synced | 3 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