Implement trie data structure and algorithms

Create implementations for trie data structure and related algorithms:

## Trie implementations:
- Basic trie (prefix tree)
- Compressed trie
- Ternary search tree
- Radix tree
- Suffix tree
- Suffix array

## Operations:
- Insert
- Search
- Delete
- Find all words with given prefix
- Auto-complete suggestions
- Longest common prefix

## Applications:
- Spell checker
- Auto-complete system
- Longest prefix matching (IP routing)
- Pattern matching in strings
- Word boggle solver
- T9 dictionary implementation

## Requirements:
- Provide space and time complexity analysis
- Include visualizations for trie structure
- Create comprehensive test cases
- Document practical applications

This collection will demonstrate the power of tries for efficient string operations and their applications in text processing and information retrieval.