Releases: LudwigBoess/SPHKernels.jl
Releases · LudwigBoess/SPHKernels.jl
v2.4.0
SPHKernels v2.4.0
Merged pull requests:
- performance improvements and memory reduction (#36) (@LudwigBoess)
v2.3.0
v2.2.0
SPHKernels v2.2.0
Closed issues:
- Choose between u = r/h or q = r / (N*h) (#13)
Merged pull requests:
- Precompile (#30) (@LudwigBoess)
v2.1.0
v2.0.1
SPHKernels v2.0.1
Merged pull requests:
- added tests for Julia 1.7+1.8 (#23) (@LudwigBoess)
- CompatHelper: bump compat for Documenter to 0.27, (keep existing compat) (#24) (@github-actions[bot])
- added tests for Julia 1.8 (#25) (@LudwigBoess)
- added zenodo properties (#26) (@LudwigBoess)
- updated docs (#27) (@LudwigBoess)
v2.0.0
SPHKernels v2.0.0
Closed issues:
- Implementing another kernel and curiosity about derivative=gradient aspect (#11)
- Simplify kernel structs, value and derivative for different dimensions. (#14)
- Potential Future Advanced Functionality: Automatic Differentiation of Kernels (#16)
Merged pull requests:
- Simplify kernel functions (#17) (@LudwigBoess)
- Implementation of kernel gradient, divergence and curl (#18) (@LudwigBoess)
- catch up to roadmap for 2.0 (#20) (@LudwigBoess)
- Gradient div curl (#21) (@LudwigBoess)
- Roadmap to 2 0 (#22) (@LudwigBoess)
v1.5.0
SPHKernels v1.5.0
Closed issues:
- Question about x/h and h_inv (#8)
Merged pull requests:
- Par structs (#10) (@LudwigBoess)
v1.4.0
SPHKernels v1.4.0
Closed issues:
- TagBot trigger issue (#7)
Merged pull requests:
- added wenland c8 kernel + bugfixes (#6) (@LudwigBoess)
- 1 d kernels (#9) (@LudwigBoess)