Stress-testing memcomputing on hard combinatorial optimization problems.

IEEE Transactions on Neural Networks and Learning Systems(2020)

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摘要
Memcomputing is a novel computing paradigm that employs time non-local dynamical systems to compute with and in memory. The digital version of these machines [digital memcomputing machines or (DMMs)] is scalable, and is particularly suited to solve combinatorial optimization problems. One of its possible realizations is by means of standard electronic circuits, with and without memory. Since these...
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关键词
Search problems,Computational modeling,Optimization,Standards,Mathematical model,Memory management,Approximation algorithms
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