Create comprehensive documentation for algorithm selection

Develop detailed documentation to guide users in selecting the appropriate algorithm for their use case:

## Documentation Components:
1. Algorithm selection flowcharts by category:
- Sorting algorithms
- Searching algorithms
- Graph traversal
- String matching
- Dynamic programming approaches

2. Comparison tables with:
- Time complexity (best/average/worst)
- Space complexity
- Stability
- In-place vs. not in-place
- Parallelizability
- Input sensitivity

3. Use case recommendations:
- Data size considerations
- Input distribution considerations
- Special case optimizations

4. Implementation notes specific to Hy:
- Performance characteristics in Hy vs. other languages
- Hy-specific optimizations
- Integration with Python ecosystem

This comprehensive documentation will serve as a valuable reference for users when deciding which algorithm to use for specific problems.

The issue names no files or tests, so first locate the repository's existing algorithm implementations and documentation structure. Define the flowcharts, comparison tables, use-case guidance, and Hy/Python integration notes across the listed algorithm categories. Done means all requested categories and comparison criteria are documented with actionable selection guidance.

Written by the indexing model from the issue text.