Algorithmic Aspects of Analysis, Prediction, and Control in Science and Engineering : An Approach Based on Symmetry and Similarity
Language: English
Published by Springer, 2014
Series: Book 10 of 378 - Studies in Systems, Decision and Control
- Hardcover
- Used
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Title
- Algorithmic Aspects of Analysis, Prediction, and Control in Science and Engineering : An Approach Based on Symmetry and Similarity
- Author
- Nava, Jaime; Kreinovich, Vladik
- Publisher
- Springer
- Publication year
- 2014
- Condition
- As New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3662449544
- ISBN 13
- 9783662449547
- Series
- Book 10 of 378: Studies in Systems, Decision and Control
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 the title" may belong to another edition of this title.
GreatBookPricesUK
Woodford Green, United Kingdom
AbeBooks seller since January 28, 2020
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