Computational methods and mathematical modeling in cyberphysics and engineering applications. (Record no. 95823)

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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number :9781789452433
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781394454549
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA345
Item number .C66 2024
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number 23
Classification number 620.00285
245 00 - TITLE STATEMENT
Title Computational methods and mathematical modeling in cyberphysics and engineering applications.
Number of part/section of a work 3 /
Statement of responsibility, etc coordinated by Dmitri Koroliouk, Sergiy Lyashko, Nikolaos Limnios.
264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc London, UK :
Name of publisher, distributor, etc ISTE Ltd ;
Place of publication, distribution, etc Hoboken, NJ :
Name of publisher, distributor, etc John Wiley & Sons, Inc.,
Date of publication, distribution, etc 2024.
264 #4 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Date of publication, distribution, etc ©2024
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource
336 ## - CONTENT TYPE
Content type term text
Content type code txt
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337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
490 0# - SERIES STATEMENT
Series statement Mathematics. Mathematics in engineering
505 0# - CONTENTS
Formatted contents note Table of Contents<br/>Chapter 1. Prediction of Pixel Component Brightness in the Process of Progressive Hierarchical Lossless Image Compression 1<br/>A. SHPORTKO and A. BOMBA<br/><br/>1.1. Introduction 1<br/>1.2. Problem statement 3<br/>1.3. Pixel bypass sequence for implementing progressive hierarchical lossless image compression 6<br/>1.4. Basic and additional symmetric hierarchical predictors 9<br/>1.5. Asymmetric hierarchical predictors 14<br/>1.6. Integrated application of hierarchical predictors 21<br/>1.7. Conclusions and further prospects 26<br/>1.8. References 27<br/><br/>Chapter 2. Spatial Analogues of Numerical Quasiconformal Mapping Methods for Identifying the Parameters of Quasiideal Fields 29<br/>A. BOMBA and M. BOICHURA<br/><br/>2.1. Introduction 29<br/>2.2. Problem statement 30<br/>2.3. Problem statement in the complex quasipotential domain 37<br/>2.4. An approximate representation of the problem 42<br/>2.5. Conclusions and further prospects 58<br/>2.6. References 59<br/><br/>Chapter 3. Complexity of Extragradient-type Methods for Variational Inequalities in Banach Space 61<br/>V. SEMENOV, O. KOVALENKO and S. DENYSOV<br/><br/>3.1. Introduction 61<br/>3.2. Preliminaries 65<br/>3.3. Variational inequalities 69<br/>3.4. Algorithms 71<br/>3.5. Analysis 73<br/>3.6. Conclusions 81<br/>3.7. Acknowledgments 82<br/>3.8. References 82<br/><br/>Chapter 4. Effect of Heat Generation Resulting from Biodegradation on the Surface Subsidence of a Solid Waste Storage Facility 87<br/>L. SHOSTAK and P. MARTYNIUK<br/><br/>4.1. Introduction 87<br/>4.2. Heat generation during the biodegradation of organic residues 89<br/>4.3. Generation of greenhouse gases during the biodegradation of organic residues 95<br/>4.4. Kinetics of biodegradation processes 97<br/>4.5. Surface settlement of a solid waste landfill 99<br/>4.6. The kinematic boundary condition at the upper moving boundary in the case of biodegradation 101<br/>4.7. Modified consolidation equation considering biodegradation 104<br/>4.8. Mathematical model of MSW landfill compaction considering the effect of biodegradation and heat release 107<br/>4.9. Finite element method in the problem of non-isothermal waste consolidation 109<br/>4.10. Approximation of the kinematic boundary condition 113<br/>4.11. Results of numerical experiments 114<br/>4.12. Conclusion 122<br/>4.13. References 122<br/><br/>Chapter 5. Grid Computing in the Study of Magnetic Levitation Systems 127<br/>S. LYASHKO, S.S. ZUB, I.G. YALOVEGA and V.S. LYASHKO<br/><br/>5.1. Overview of the computational approach 127<br/>5.2. Introduction 128<br/>5.3. Poisson brackets and motion equations 129<br/>5.4. Mathematical model 131<br/>5.5. Numerical experiment method 134<br/>5.6. Geometric integrator 135<br/>5.7. Estimation of the model's physical quantities 136<br/>5.8. Methods and programming tools 137<br/>5.9. Parallel computing using grid and cloud resources for Monte Carlo trajectory generation 138<br/>5.10. Conclusions 140<br/>5.11. References 140<br/><br/>Chapter 6. Simulation and Optimization of Water Transfer in a Porous Pipe System and Polygon Porous Medium 143<br/>D.A. KLYUSHIN, V.A. KOLESNYKOV and A.A. TYMOSHENKO<br/><br/>6.1. Introduction 143<br/>6.2. Physical model 144<br/>6.3. Richards–Klute equation on a graph 146<br/>6.4. Weak form of the Richards–Klute equation on a graph 148<br/>6.5. Existence theorem 151<br/>6.6. Stability results 152<br/>6.7. Numerical approximation 154<br/>6.8. Numerical experiments 155<br/>6.9. Optimal control of source intensity in Richards' equation for polygon-type areas in a porous medium 158<br/>6.10. Variational method 160<br/>6.11. Numerical approach 161<br/>6.12. Area examples 164<br/>6.13. Alternating direction method 165<br/>6.14. Conclusion 167<br/>6.15. References 168<br/><br/>Chapter 7. Some Basic Properties of Gamma Processes 171<br/>F. FOURATI and N. LIMNIOS<br/><br/>7.1. Introduction 171<br/>7.3. Gamma processes 181<br/>7.4. Gamma process as a Markov process 188<br/>7.5. Gamma processes in random environment 190<br/>7.6. Extended gamma processes and their connection with Cox processes 192<br/>7.7. References 196<br/><br/>Chapter 8. A Hidden Markov Model Framework for Reliability Evaluation and Maintenance Planning 199<br/>M.L. GAMIZ, N. LIMNIOS and M.C. SEGOVIA-GARCIA<br/><br/>8.1. Introduction 199<br/>8.2. Hidden Markov models 202<br/>8.3. Reliability estimation and maintenance policies 220<br/>8.4. Conclusion 234<br/>8.5. Acknowledgments 235<br/>8.6. References 235<br/><br/>Chapter 9. Matrix Polynomials on a Set of Noncommutative Matrices: Basic Properties 237<br/>V.L. MAKAROV, O.F. KASHPUR and B.O. BOICHENKO<br/><br/>9.1. Introduction 237<br/>9.2. Laguerre and Laguerre–Cayley matrix polynomials: basic properties 238<br/>9.3. Hermite matrix polynomials: basic properties 244<br/>9.4. Fundamental Lagrange matrix polynomials 245<br/>9.5. Conclusion 246<br/>9.6. References 246<br/><br/>Chapter 10. Quantum Hypothesis of Olfactory Perception. 249<br/>D. KOROLIOUK, V. COLIZZI, M. ZOZIUK, M. MATTEI, and S. MARINI<br/><br/>10.1. Introduction 249<br/>10.2. Functional-analytic framework 251<br/>10.3. Molecular vibrational spectra and spectral theory 254<br/>10.4. Spectroscopic observables and selection rules 257<br/>10.5. Inelastic electron tunneling model: Hamiltonian formulation 260<br/>10.6. Transition rates and resonance conditions 262<br/>10.7. Thermal and open-system effects 265<br/>10.8. Relation to Marcus theory and semiclassical limits 267<br/>10.9. Engineering implications and design principles 270<br/>10.10. Critical assessment and limitations 272<br/>10.11. Conclusions and outlook 273<br/>10.12. Appendix. Implications for medical sciences and biomedical ligand design 274<br/>10.13. References 281<br/><br/>List of Authors 285<br/>Index 289
520 ## - SUMMARY, ETC.
Summary, etc Responding to the growing demand for rigorous modeling frameworks capable of addressing complex technological challenges across disciplines, this book offers a coherent panorama of contemporary methodologies. These span lossless image compression algorithms, electrical impedance tomography and extragradient methods for variational inequalities in Banach spaces. It further examines multiphysics modeling in environmental engineering, grid-supported magnetic levitation systems and the optimization of water transport in porous media for sustainable irrigation. Foundational stochastic tools – such as gamma processes and hidden Markov models for reliability and maintenance planning – are integrated with theoretical advances, including matrix polynomials on noncommutative sets.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Description based on online resource; title from digital title page (viewed on June 29, 2026).
588 0# - SOURCE OF DESCRIPTION NOTE
Source of description note Print version record.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer-aided engineering.
Authority record control number http://id.loc.gov/authorities/subjects/sh89002586
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Koroliouk, Dmitri,
Relator term editor.
Authority record control number http://id.loc.gov/authorities/names/nb2022012565
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Lyashko, Sergei I.,
Relator term editor.
Authority record control number http://id.loc.gov/authorities/names/n2001010030
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Limnios, N.
Fuller form of name (Nikolaos),
Relator term editor.
Authority record control number http://id.loc.gov/authorities/names/n98057246
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://onlinelibrary.wiley.com/doi/book/10.1002/9781394454549
Link text Full text is available at Wiley Online Library. Click here to view.
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Item type EBOOK
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          COLLEGE LIBRARY COLLEGE LIBRARY 2026-06-29 620.00285 C7392 2026 2026-06-29 2026-06-29 EBOOK

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