JuliaSmoothOptimizers / JuliaSmoothOptimizers/PartitionedVectors.jl
Developper documentation
Open
- Dominant language
- Julia
- Stars
- 8
- Forks
- 2
- PR merge metrics
- No merged PRs in 30d
Description
We should explain some code:
- general scheme to define dedicated methods depending the usage of PartitionedVector parameters: `Val{true}` and `Val{false}`;
- mention #23 to explain how the partitioned dot product is computed.
Contributor guide
Research direction
Start by reviewing how PartitionedVector parameters use Val{true} and Val{false}, then read issue #23 for the partitioned dot-product explanation. Done means the developer documentation explains the general method-definition scheme and links to or incorporates the computation details from issue #23.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100