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Data Structures Series #3: Binary Trees - Implementation & Use Cases
- Binary Trees are hierarchical data structures with at most two children per node, essential for algorithms and applications.
- Basic Binary Tree Implementation involves nodes with values and references to left and right children.
- Traversal methods include in-order, pre-order, post-order, and level-order for visiting tree nodes.
- Binary Search Trees (BSTs) organize nodes strategically for efficient search operations.
- Real-world applications range from file systems and expression trees to decision trees and auto-complete functionalities.
- Performance optimization tips include memory-efficient node handling and batch operations for better efficiency.
- Tree construction problems like building trees from traversals and balancing arrays to form BSTs are common interview topics.
- Optimizing tree operations using iterative approaches, Morris traversal, and batch operations enhances performance.
- Understanding tree structures is crucial for developers dealing with hierarchical data and decision-making processes.
- Binary Trees are used in various applications such as file systems, auto-complete, and AI/ML decision-making systems.
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