Titlebook: Mathematics for Natural Scientists; Fundamentals and Bas Lev Kantorovich Textbook 20161st edition Springer Science+Business Media, LLC, par

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Lev Kantorovich especially recurrent ones, which are currently of high interest to the data analysis and machine learning community in general, beyond the more specific signal processing and blind source separation communitie978-3-030-64976-0978-3-030-64977-7Series ISSN 2191-8112 Series E-ISSN 2191-8120

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Lev Kantorovich especially recurrent ones, which are currently of high interest to the data analysis and machine learning community in general, beyond the more specific signal processing and blind source separation communitie978-3-030-64976-0978-3-030-64977-7Series ISSN 2191-8112 Series E-ISSN 2191-8120

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Lev Kantorovichms at the University of Catania. ..Reporting on the work fostered by several national and international research projects, the book offers researchers novel ideas on how neuro-inspired dynamics can be used in d978-3-319-73346-3978-3-319-73347-0Series ISSN 2191-530X Series E-ISSN 2191-5318

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Lev Kantorovichased nonlinear oscillators and locally-coupled neural networks can be applied in the field of analog computing architectures, for example for pattern recognition.. .The book will be of interest to scientists an978-3-030-55653-2978-3-030-55651-8

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Recent work on extracting the energy in a fluid stream by piezoelectric elements is reviewed, including some of the underlying physics. Whilst the energy extracted from fluttering elements is low, it is a subject of interest for powering Ultra-Low Power (ULP) devices and systems since this method of

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rm approxima­ tion is strongly connected with his name. By making use of his ideas, the theories of best uniform approximation by rational functions and by polynomials were developed over the years in an almost unified framework. The difference between linear and rational approximation and its impli

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