Data Structures

  1. Practical Application and Selection
    1. Choosing Appropriate Data Structures
      1. Problem Constraint Analysis
        1. Input Size Considerations
          1. Operation Types
            1. Operation Frequency
            2. Time vs Space Trade-offs
              1. Memory Usage Considerations
                1. Performance Optimization
                2. Operation Pattern Analysis
                  1. Read-heavy Scenarios
                    1. Write-heavy Scenarios
                  2. Combining Data Structures
                    1. Hybrid Data Structures
                      1. Layered Approaches
                      2. Common Problem Patterns
                        1. Sliding Window Problems
                          1. Two-pointer Techniques
                            1. Caching Strategies
                              1. Memoization Techniques
                                1. Real-world Case Studies

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                              6. Advanced Data Structures

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                              1. Introduction to Data Structures and Algorithms