Dynamic data structures are data organizations that can adjust their size and configuration during program execution, allowing for efficient insertion and deletion of data elements. Unlike static structures, they do not require a fixed memory allocation at compilation time. These structures adapt to changing data requirements.
Context
In blockchain technology, dynamic data structures are crucial for managing the constantly growing ledger and supporting complex state changes within smart contracts. Merkle Patricia Tries, used in Ethereum, are an example, enabling efficient updates and retrievals of account balances and contract storage. Their performance significantly impacts the scalability and operational efficiency of decentralized platforms.
Research introduces a Dynamic Universal Accumulator that compresses massive data sets into a constant-size cryptographic proof, enabling efficient, constant-time verification for scalable systems.
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