‘NP-hard’ denotes a class of computational problems for which no known efficient algorithm exists to find an optimal solution in polynomial time. Solving these problems typically requires resources that grow exponentially with the size of the input. Many complex optimization and decision problems fall into this category.
Context
The relevance of NP-hard problems in the cryptocurrency and blockchain domain often arises in contexts such as complex cryptographic constructions, network optimization, and resource allocation challenges. Discussions may involve the exploration of approximation algorithms or heuristic approaches to find feasible solutions within practical timeframes, given the inherent difficulty of exact solutions. Future considerations include the potential impact of quantum computing on solving certain NP-hard problems.
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