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Titlebook: Classical and Quantum Computing; with C++ and Java Si Yorick Hardy,Willi-Hans Steeb Textbook 2001 Springer Basel AG 2001 C++.Graph.Inform.S

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書(shū)目名稱Classical and Quantum Computing
副標(biāo)題with C++ and Java Si
編輯Yorick Hardy,Willi-Hans Steeb
視頻videohttp://file.papertrans.cn/228/227159/227159.mp4
圖書(shū)封面Titlebook: Classical and Quantum Computing; with C++ and Java Si Yorick Hardy,Willi-Hans Steeb Textbook 2001 Springer Basel AG 2001 C++.Graph.Inform.S
描述."Classical and Quantum computing". provides a self-contained, systematic and comprehensive introduction to all the subjects and techniques important in scientific computing. The style and presentation are readily accessible to undergraduates and graduates. A large number of examples, accompanied by complete C++ and Java code wherever possible, cover every topic. .Features and benefits:.- Comprehensive coverage of the theory with many examples.- Topics in classical computing include boolean algebra, gates, circuits, latches, error detection and correction, neural networks, Turing machines, cryptography, genetic algorithms .- For the first time, genetic expression programming is presented in a textbook.- Topics in quantum computing include mathematical foundations, quantum algorithms, quantum information theory, hardware used in quantum computing.This book serves as a textbook for courses in scientific computing and is also very suitable for self-study. Students, professionals and practitioners in computer science, applied mathematics and physics will benefit from using the book and the included software simulations..
出版日期Textbook 2001
關(guān)鍵詞C++; Graph; Inform; Simula; Turing machine; algorithms; class; code; cryptography; information; information th
版次1
doihttps://doi.org/10.1007/978-3-0348-8366-5
isbn_softcover978-3-7643-6610-0
isbn_ebook978-3-0348-8366-5
copyrightSpringer Basel AG 2001
The information of publication is updating

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https://doi.org/10.1007/978-0-85729-412-8n is possible if a problem can be solved using the solution of a simpler problem of the same type and a solution to the simplest of problems of the same type is known. A recursive solution to a problem consists of
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Stefano Bistarelli,Barry O’Sullivannes some methods of limiting the effect of errors in data representation and transmission. Error control coding should protect digital data against errors which occur during transmission over a noisy communication channel or during storage in an unreliable memory. The last decade has been characteri
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https://doi.org/10.1007/978-0-85729-412-8via axon connections. Such a model bears a strong resemblance to axons and dendrites in a nervous system. The first fundamental modelling of neural nets was proposed in 1943 by McCulloch and Pitts in terms of a computational model of “nervous activity”. The McCulloch-Pitts neuron is a binary device
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