Titlebook: Complexity in Information Theory; Yaser S. Abu-Mostafa Book 1988 Springer-Verlag New York Inc. 1988 communication.complexity.complexity th

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978-1-4612-8344-7Springer-Verlag New York Inc. 1988

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Univariate Exploratory Data AnalysisThe communication complexity of a function . is the number of bits two persons have to exchange in order to determine . (.,.) when, initially, one person knows . and the other knows ..

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外面

Computational Information Theory,g power is always available. As a result, in applications such as cryptography, where computational cost plays a central role, the classical information theory does not provide a totally satisfactory framework. In recent years, after Diffie and Hellman proposed the use of trapdoor function as the co

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Collective Computation, Content-Adressable Memory, and Optimization Problems,nventional digital circuit designs in emphasizing the large connectivity and analog response that biological “computational” systems employ. When such circuits have symmetric connections, they display a dynamics which is complex enough to use for computation, but simple enough to yield some general

Capitulate

Complexity of Random Problems,ve a concise effective definition. We discuss the heuristic and formal aspects of random problems, and quantify their difficulty through a number of complexity measures. The relations between these measures provide lower and upper bounds on the cost of the system that solves a given random problem.

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