docs: remove NonlinearSolve refactoring

Already near completion in SciML/NonlinearSolve.jl#483

small_grants.md

@@ -269,34 +269,6 @@ would be helpful for debugging.
 
 **Reviewers**: Chris Rackauckas
 
-## Refactor NonlinearSolve.jl to use Sub-Packages of Solvers (\$300)
-
-With the successful splitting of [OrdinaryDiffEq.jl](https://sciml.ai/news/2024/08/10/sciml_small_grants_successes/),
-we suspect that similar installation and loading time improvements can be had by
-splitting NonlinearSolve.jl and BoundaryValueDiffEq.jl in such a way that the solvers
-can precompile in parallel and allow for depending on only a portion of the algorithms.
-In particular, OrdinaryDiffEq.jl only needs to depend on a trust region method, meaning
-that other sets of methods can be fully discarded from its dependency stack.
-
-**Information to Get Started**: The OrdinaryDiffEq.jl solvers are all found in
-[the Github repository](https://github.com/SciML/OrdinaryDiffEq.jl) and
-the format of the package is docmented in the
-[developer documentation](https://docs.sciml.ai/DiffEqDevDocs/stable/). [https://github.com/SciML/OrdinaryDiffEq.jl/issues/2177](https://github.com/SciML/OrdinaryDiffEq.jl/issues/2177)
-documents the process on OrdinaryDiffEq.jl to
-
-**Related Issues**:
-
-**Success Criteria**: The independent solver packages are registered and released,
-and a breaking update to OrdinaryDiffEq.jl is released which reduces the loading
-time by not including all solvers by default. This success also requires updating
-package documentation to reflect these changes.
-
-**Recommended Skills**: Since all of the code for the solvers exists and this a refactor,
-no prior knowledge of numerical differential equations is required. Only standard software
-development skills and test-driven development of a large code base is required.
-
-**Reviewers**: Chris Rackauckas, Avik Pal
-
 ## Refactor OrdinaryDiffEq.jl Solver Sets to Reuse perform_step! Implementations via Tableaus (\$100/solver set)
 
 **In Progress**: Claimed by Param Umesh Thakkar for the time period of August 11th, 2024 - September 11th 2024.