The challenge of scalability in blockchain technology has prompted a necessity for innovative solutions, particularly focused on optimizing tree structures like Merkle trees.
Adaptive Merkle trees demonstrate significant improvements in efficiency and performance by restructuring algorithms that accommodate the dynamic nature of data within blockchain systems.
Our research on path encoding within adaptive Merkle trees reveals opportunities to enhance performance metrics in blockchain applications, showcasing the flexibility of tree structures.
Through practical examples and innovative algorithms, our work illustrates how restructuring can lead to better handling of leaf nodes and ultimately greater scalability in blockchain systems.
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