Better support for ModelingToolkit JIT tracing on SDEs.
Updated to support ModelingToolkit v9 from the Julia side with the JIT compilation.
Support new DiffEqGPU syntax. This requires passing a backend. Supports NVIDIA CUDA, Intel OneAPI, AMD GPUs, and Apple Metal GPUs. Also much faster GPU compilation and runtime performance.
Bugfixes for newer Julia versions.
This package now ensures that the tests are not run on build so that installation of Julia will not occur unless the user specifically asks for it via diffeqr::diffeq_setup()
Full recreation of the package. This provides a new simplified interface over DifferentialEquations.jl that matches the Julia interface almost 1-1.
This is a quick patch to fix the vignettes of the v0.1.0 release.
This is the initial release of the package. It provides a simplified interface over DifferentialEquations.jl. Currently it’s interfaced via 5 functions:
The return is a list with sol\(u and sol\)t. In future updates this will be backwards compatibly updated to be a full solution object with the interpolation.