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Computation in Science最新文献

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Formalizing computation 形式化计算
Pub Date : 2020-09-01 DOI: 10.1088/978-0-7503-3287-3ch3
K. Hinsen
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引用次数: 0
Outlook: scientific knowledge in the digital age 展望:数字时代的科学知识
Pub Date : 2020-09-01 DOI: 10.1088/978-0-7503-3287-3ch7
K. Hinsen
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引用次数: 0
Automating computation 自动计算
Pub Date : 2020-09-01 DOI: 10.1088/978-0-7503-3287-3ch4
K. Hinsen
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引用次数: 0
Computational reproducibility 计算再现性
Pub Date : 2020-09-01 DOI: 10.1088/978-0-7503-3287-3ch6
K. Hinsen
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引用次数: 0
Computation in science 科学中的计算
Pub Date : 2015-12-01 DOI: 10.1088/978-1-6817-4093-5
K. Hinsen
Computation in Science provides a theoretical background in computation to scientists who use computational methods. It explains how computing is used in the natural sciences, and provides a high-level overview of those aspects of computer science and software engineering that are most relevant for computational science. The focus is on concepts, results, and applications, rather than on proofs and derivations. The unique feature of this book is that it connects the dots between computational science, the theory of computation and information, and software engineering. It should help scientists to better understand how they use computers in their work, and how computers work. It is meant to compensate for the general lack of any formal training in computer science and information theory. Readers will learn something that they can use throughout their careers.
科学计算为使用计算方法的科学家提供了计算的理论背景。它解释了如何在自然科学中使用计算,并提供了与计算科学最相关的计算机科学和软件工程的那些方面的高层次概述。重点是概念、结果和应用,而不是证明和推导。这本书的独特之处在于它连接了计算科学、计算和信息理论以及软件工程之间的点。它应该有助于科学家更好地了解他们如何在工作中使用计算机,以及计算机是如何工作的。这是为了弥补在计算机科学和信息理论方面普遍缺乏正规培训的不足。读者将会学到一些可以在他们的职业生涯中使用的东西。
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引用次数: 2
期刊
Computation in Science
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