Theoretical optimality describes the best possible performance or outcome that a system or algorithm could achieve under ideal conditions, based on mathematical principles. This concept represents a benchmark against which practical implementations are measured. It defines the upper bound of efficiency or solution quality. Reaching this state is often a design goal.
Context
In blockchain and digital asset development, theoretical optimality is frequently referenced when evaluating the ultimate potential of new protocols regarding scalability, security, or decentralization. News might compare current system performance against its theoretical limits, highlighting areas for improvement. Researchers continuously strive to design systems that approach these ideal performance metrics.
This new signature-free asynchronous Byzantine agreement protocol achieves the theoretical optimal communication complexity for unauthenticated consensus.
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