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 Explorations in Quantum Computing (Texts in Computer Science)
In the decade since the publication of the first edition of “Explorations in Quantum Computing” the field has blossomed into a rich and diverse body of knowledge, and tremendous progress has been made on building functional quantum computer hardware. Yet I find that a discussion of applications of quantum computers still remains... | | Spring Python 1.1
Spring Python captures the concepts of the Spring Framework and Spring Security and brings them to the world of Python and provides many functional parts to assemble applications. Spring Python is all about using the many useful features of Spring to the fullest and making these features available when working with Python.
Get to... | | Infrared and Raman Spectroscopic Imaging
The breakthrough of Raman, mid - infrared and near - infrared spectroscopy as practical imaging tools with rational measurement and evaluation times has only taken place in recent years, although Raman and infrared spectroscopy are well - established analytical techniques for research, quality assurance and process control since many decades.... |
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Electric Vehicle Battery Systems
Electric Vehicle Battery Systems provides operational theory and design guidance for engineers and technicians working to design and develop efficient electric vehicle (EV) power sources. As Zero Emission Vehicles become a requirement in more areas of the world, the technology required to design and maintain their complex battery systems is... | | Easy To Understand Guide Hom Com
TO MANY PEOPLE, the word "computer" is a kind of future shock - an image of huge, intimidating machines banked in specially climate-controlled rooms, deep in corporate America. The people who use them, we think, are an elite group - far from ordinary people, hunched over their glowing video screens like sorcerers bending over a... | | Learning Classifier Systems: From Foundations to Applications
Learning classi er systems are a machine learning paradigm introduced by John Holland in 1976. They are rule-based systems in which learning is viewed as a process of ongoing adaptation to a partially unknown environment through genetic algorithms and temporal di erence learning.
From the beginning, classi er systems have attracted... |
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