页数:584 定价:USD 110.00 装帧:Hardcover ISBN:9780198570837 豆瓣评分 评价人数不足 评价: 写笔记 写书评 加入购书单 分享到 推荐 内容简介· ··· This book presents a unified approach to a rich and rapidly evolving research domain at the interface between statistical physics, theoretical computer...
Computing reviewsMarc Mezard and Andrea Montanari. Information, Physics, and Com- putation. Oxford University Press, Inc., New York, NY, USA, 2009.Me´zard, M., & Montanari, A. (2009). Information, Physics and Computation. Oxford University Press....
(near)dissipationlesscomputing.Apparently,therearenophysicallawsthatrequirereversiblecomputationstodissipateenergy.Itisforthisreasonthatnotionsofreversiblecomputers,bothphysicalandlogical,arerapidlygainingprominence.Wetreatreversiblecomputingfirstbecauseitisusedinsomeofthelatertopicsinthischapter.Wegivebothavarietyofphysical...
This paper presents several observations on the connections between information, physics, and computation. In particular, the computing power of quantum computers is examined. Quantum theory is characterized by superimposed states and nonlocal interactions. It is argued that recently studied quantum compute...
Information Physics: Physics-Information and Quantum Analogies for Complex Modeling presents a new theory of complex systems that uses analogy across various aspects of physics, in...read full description Purchase book Share this book Table of contents ...
Master of Data Science,无ACS认证:1年制,需要等同于澳洲4年制荣誉学士学位毕业,本科专业需在以下领域:A quantitative discipline includes data science, computer science, mathematics, statistics, engineering, physics, economics, finance or other disciplines that are deemed equivalent; ...
In information processing, as in physics, our classical world view provides an incomplete approximation to an underlying quantum reality. Quantum effects like interference and entanglement play no direct role in conventional information processing, but they can—in principle now, but probably eventually ...
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Optimization; Physics-Based Simulations; Process Modeling for Engineering Applications; Qualification, Verification and Validation of Computational Models; Symbolic Computing for Engineering Applications; Tolerance Modeling; Topology and Shape Optimization; Virtual and Augmented Reality Environments; Virtual ...
and others interested in state-of-the art research activities in information, knowledge engineering and intelligent systems. Readers are assumed to have a common interest in information science, but with diverse backgrounds in fields such as engineering, mathematics, statistics, physics, computer science...