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008 141018s2015 gw | s |||| 0|eng d
020 _a9783662449554
024 7 _a10.1007/978-3-662-44955-4
_2doi
050 4 _aQA76.9.A43
_bN383 2015 EB
040 _aES-MaUEC
_bspa
100 1 _aNava, Jaime
_eautor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_1http://viaf.org/viaf/59291635/
245 1 0 _aAlgorithmic Aspects of Analysis, Prediction, and Control in Science and Engineering
_bAn Approach Based on Symmetry and Similarity
_cby Jaime Nava, Vladik Kreinovich.
264 1 _aBerlin, Heidelberg
_bSpringer International Publishing
_c2015
300 _a1 recurso en línea (VIII, 155 páginas 8 ilustraciones)
490 0 _aStudies in Systems, Decision and Control
_x2198-4182 ;
_v14
505 0 _aIntroduction: Symmetries and Similarities as a Methodology for Algorithmics of Analysis, Prediction, and Control in Science and Engineering.- Algorithmic Aspects of Real-Life Systems Analysis: Approach Based on Symmetry and Simila -- Algorithmic Aspects of Prediction: An Approach Based on Symmetry and Similarity -- Algorithmic Aspects of Control: Approach Based on Symmetry and Similarity -- Possible Ideas for FutureWork.
520 3 _aThis 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
650 7 _aAlgoritmos computacionales
_2embne
_9151819
700 1 _aKreinovich, Vladik
_eautor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_0http://id.loc.gov/authorities/names/n95102697
_1http://viaf.org/viaf/37212054/
_998177
776 0 8 _iEdición impresa:
_z9783662449561
776 0 8 _iEdición impresa:
_z9783662449547
776 0 8 _iEdición impresa:
_z9783662511596
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-662-44955-4
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490 0 _aEngineering (Springer-11647)
998 _b03/2019
_dz
_ef
_feng
_ggw
_h0
999 _c103220
_d103220
_x1