Add OrdinaryDiffEqSIMDRK as a standalone sublibrary #2831
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This PR adds SIMDRungeKutta.jl code as a new sublibrary OrdinaryDiffEqSIMDRK in the lib folder. Key points: - The sublibrary is NOT a dependency of OrdinaryDiffEq.jl - It is NOT imported or re-exported by OrdinaryDiffEq.jl - Users can depend on it directly as a separate package - Contains MER5v2, MER6v2, and RK6v4 SIMD-optimized Runge-Kutta methods This follows the pattern of having sublibraries in the lib folder that can be used independently. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
Following the pattern of other OrdinaryDiffEq sublibraries: - Removed test/Project.toml - Added test dependencies to [extras] block in main Project.toml - Added compat entries for test dependencies - Updated test files to use OrdinaryDiffEqSIMDRK module name 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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Summary
This PR adds the SIMDRungeKutta.jl code as a new sublibrary
OrdinaryDiffEqSIMDRKin the lib folder.Important Notes
Pkg.add(url="https://github.com/SciML/OrdinaryDiffEq.jl", subdir="lib/OrdinaryDiffEqSIMDRK")Contents
The sublibrary provides SIMD-optimized Runge-Kutta methods:
MER5v2: 5th order methodMER6v2: 6th order methodRK6v4: 6th order methodFiles Added
lib/OrdinaryDiffEqSIMDRK/- New sublibrary folderThis follows the existing pattern of having sublibraries in the lib folder that can be used independently without being part of the main OrdinaryDiffEq.jl package.
🤖 Generated with Claude Code