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Algorithmic Aspects of Analysis, Prediction, and Control in Science and Engineering: An Approach Based on Symmetry and Similarity: 14 (Studies in Systems, Decision and Control, 14) - Softcover
Book 10 of 378: Studies in Systems, Decision and Control
Synopsis
This book demonstrates how to describe and analyze a system's behavior and extract the desired prediction and control algorithms from this analysis. A typical prediction is based on observing similar situations in the past, knowing the outcomes of these past situations, and expecting that the future outcome of the current situation will be similar to these past observed outcomes. In mathematical terms, similarity corresponds to symmetry, and similarity of outcomes to invariance.
This book shows how symmetries can be used in all classes of algorithmic problems of sciences and engineering: from analysis to prediction to control. Applications cover chemistry, geosciences, intelligent control, neural networks, quantum physics, and thermal physics. Specifically, it is shown how the approach based on symmetry and similarity can be used in the analysis of real-life systems, in the algorithms of prediction, and in the algorithms of control.
"synopsis" may belong to another edition of this title.
From the Back Cover
This book demonstrates how to describe and analyze a
system's behavior and extract the desired prediction and control
algorithms from this analysis. A typical prediction is based on observing similar
situations in the past, knowing the outcomes of these past
situations, and expecting that the future outcome of the current
situation will be similar to these past observed outcomes. In
mathematical terms, similarity corresponds to symmetry, and
similarity of outcomes to invariance.
This book shows how symmetries can be used in all classes of algorithmic problems of
sciences and engineering: from analysis to prediction to control.
Applications cover chemistry, geosciences, intelligent control,
neural networks, quantum physics, and thermal physics.
Specifically, it is shown how the approach based
on symmetry and similarity can be used in the analysis of real-life systems, in the
algorithms of prediction, and in the algorithms of control.
"About this title" may belong to another edition of this title.
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Algorithmic Aspects of Analysis, Prediction, and Control in Science and Engineering (eng)
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Algorithmic Aspects of Analysis, Prediction, and Control in Science and Engineering : An Approach Based on Symmetry and Similarity
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Algorithmic Aspects of Analysis, Prediction, and Control in Science and Engineering
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book demonstrates how to describe and analyze a system's behavior and extract the desired prediction and control algorithms from this analysis. A typical prediction is based on observing similar situations in the past, knowing the outcomes of these past situations, and expecting that the future outcome of the current situation will be similar to these past observed outcomes. In mathematical terms, similarity corresponds to symmetry, and similarity of outcomes to invariance. This book shows how symmetries can be used in all classes of algorithmic problems of sciences and engineering: from analysis to prediction to control. Applications cover chemistry, geosciences, intelligent control, neural networks, quantum physics, and thermal physics. Specifically, it is shown how the approach based on symmetry and similarity can be used in the analysis of real-life systems, in the algorithms of prediction, and in the algorithms of control. 164 pp. Englisch. Seller Inventory # 9783662511596
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Algorithmic Aspects of Analysis, Prediction, and Control in Science and Engineering: An Approach Based on Symmetry and Similarity (Studies in Systems, Decision and Control, 14)
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Algorithmic Aspects of Analysis, Prediction, and Control in Science and Engineering : An Approach Based on Symmetry and Similarity
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book demonstrates how to describe and analyze a system's behavior and extract the desired prediction and control algorithms from this analysis. A typical prediction is based on observing similar situations in the past, knowing the outcomes of these past situations, and expecting that the future outcome of the current situation will be similar to these past observed outcomes. In mathematical terms, similarity corresponds to symmetry, and similarity of outcomes to invariance. This book shows how symmetries can be used in all classes of algorithmic problems of sciences and engineering: from analysis to prediction to control. Applications cover chemistry, geosciences, intelligent control, neural networks, quantum physics, and thermal physics. Specifically, it is shown how the approach based on symmetry and similarity can be used in the analysis of real-life systems, in the algorithms of prediction, and in the algorithms of control. Seller Inventory # 9783662511596
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Algorithmic Aspects of Analysis, Prediction, and Control in Science and Engineering | An Approach Based on Symmetry and Similarity
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Taschenbuch. Condition: Neu. Algorithmic Aspects of Analysis, Prediction, and Control in Science and Engineering | An Approach Based on Symmetry and Similarity | Jaime Nava (u. a.) | Taschenbuch | viii | Englisch | 2016 | Springer | EAN 9783662511596 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 103162608
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Algorithmic Aspects of Analysis, Prediction, and Control in Science and Engineering
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book demonstrates how to describe and analyze a system's behavior and extract the desired prediction and control algorithms from this analysis. A typical prediction is based on observing similar situations in the past, knowing the outcomes of these past situations, and expecting that the future outcome of the current situation will be similar to these past observed outcomes. In mathematical terms, similarity corresponds to symmetry, and similarity of outcomes to invariance.This book shows how symmetries can be used in all classes of algorithmic problems of sciences and engineering: from analysis to prediction to control. Applications cover chemistry, geosciences, intelligent control, neural networks, quantum physics, and thermal physics. Specifically, it is shown how the approach based on symmetry and similarity can be used in the analysis of real-life systems, in the algorithms of prediction, and in the algorithms of control.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 164 pp. Englisch. Seller Inventory # 9783662511596