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Algebraic Identification of Smart Systems Theory аnd Practice 1st edition by Natalia Serdyukova, Vladimir Serdyukov ISBN 3030544702 978-3030544706

Name: Algebraic Identification of Smart Systems Theory аnd Practice 1st edition by Natalia Serdyukova, Vladimir Serdyukov ISBN 3030544702 978-3030544706
SKU: EB-22500400
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Algebraic Identification of Smart Systems: Theory аnd Practice Natalia A. Serdyukova Digital Instant Download

Author(s): Natalia A. Serdyukova, Vladimir I. Serdyukov

ISBN(s): 9783030544690, 9783030544706, 3030544699, 3030544702

Edition: 1st ed.

File Details: PDF, 5.75 MB

Year: 2021

Language: English

SKU: EB-22500400 Category: Computers Tags: Natalia A. Serdyukova, Vladimir I. Serdyukov

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Algebraic Identification of Smart Systems: Theory аnd Practice 1st edition by Natalia A. Serdyukova, Vladimir I. Serdyukov – Ebook PDF Instant Download/Delivery: 3030544702, 978-3030544706
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Product details:

ISBN 10: 3030544702
ISBN 13: 978-3030544706
Author: Natalia A. Serdyukova, Vladimir I. Serdyukov

This book is a continuation of our recently published book “Algebraic formalization of smart systems. Theory and practice.” It incorporates a new concept of quasi-fractal algebraic systems, based on A.I. Maltsev’s theory of algebraic systems and the theory of fractals developed by Benoit Mandelbrot, to investigate smart systems in more detail.

The main tool used in the book, quasi-fractal algebraic systems, helps us to see smart systems in more detail by adding new factors, which e.g. make it possible to describe the previously indivisible elements of the initial model of factors. The techniques presented include fixed-point theorem, theorems of group theory, theory of Boolean algebras, and Erdös-Renyi algorithms. Given its focus, the book is intended for anyone interested in smart system theory.

Algebraic Identification of Smart Systems: Theory аnd Practice 1st Table of contents:

1. Smart Systems Identification Problem

2. The Complexity of the Identification Problem. Transition from by Element-Wise Model of the System to the Model of Factors Determining the System. Quasi-fractal Algebraic Systems

3. General System Function

4. Smart Systems’ Scales for Measuring

5. Testing Problems. Testing as a Coding of Knowledge System

6. Smart System’s Potential

7. System Structure Randomness and Integrity. Random Graphs Models

8. Cayley Graphs and Probability Isomorphic Groups

9. Smart System Sustainability and Smart System Management

10. Interpretation of Solvable Groups in the Theory of Smart Systems

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