Methods Of Mathematical Modelling And Computation For Complex Systems

Download Methods Of Mathematical Modelling And Computation For Complex Systems full books in PDF, epub, and Kindle. Read online Methods Of Mathematical Modelling And Computation For Complex Systems ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Methods of Mathematical Modelling and Computation for Complex Systems

Author : Jagdev Singh
Publisher : Springer Nature
ISBN 13 : 3030771695
Total Pages : 433 pages
Book Rating : 4.0/5 (37 download)

DOWNLOAD NOW!

Book Synopsis Methods of Mathematical Modelling and Computation for Complex Systems by : Jagdev Singh

Download or read book Methods of Mathematical Modelling and Computation for Complex Systems written by Jagdev Singh and published by Springer Nature. This book was released on 2021-08-26 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains several contemporary topics in the areas of mathematical modelling and computation for complex systems. The readers find several new mathematical methods, mathematical models and computational techniques having significant relevance in studying various complex systems. The chapters aim to enrich the understanding of topics presented by carefully discussing the associated problems and issues, possible solutions and their applications or relevance in other scientific areas of study and research. The book is a valuable resource for graduate students, researchers and educators in understanding and studying various new aspects associated with complex systems. Key Feature • The chapters include theory and application in a mix and balanced way. • Readers find reasonable details of developments concerning a topic included in this book. • The text is emphasized to present in self-contained manner with inclusion of new research problems and questions.

Model Emergent Dynamics in Complex Systems

Author : A. J. Roberts
Publisher : SIAM
ISBN 13 : 1611973562
Total Pages : 750 pages
Book Rating : 4.6/5 (119 download)

DOWNLOAD NOW!

Book Synopsis Model Emergent Dynamics in Complex Systems by : A. J. Roberts

Download or read book Model Emergent Dynamics in Complex Systems written by A. J. Roberts and published by SIAM. This book was released on with total page 750 pages. Available in PDF, EPUB and Kindle. Book excerpt: Arising out of the growing interest in and applications of modern dynamical systems theory, this book explores how to derive relatively simple dynamical equations that model complex physical interactions. The author?s objectives are to use sound theory to explore algebraic techniques, develop interesting applications, and discover general modeling principles. Model Emergent Dynamics in Complex Systems unifies into one powerful and coherent approach the many varied extant methods for mathematical model reduction and approximation. Using mathematical models at various levels of resolution and complexity, the book establishes the relationships between such multiscale models and clarifying difficulties and apparent paradoxes and addresses model reduction for systems, resolves initial conditions, and illuminates control and uncertainty. The basis for the author?s methodology is the theory and the geometric picture of both coordinate transforms and invariant manifolds in dynamical systems; in particular, center and slow manifolds are heavily used. The wonderful aspect of this approach is the range of geometric interpretations of the modeling process that it produces?simple geometric pictures inspire sound methods of analysis and construction. Further, pictures drawn of state spaces also provide a route to better assess a model?s limitations and strengths. Geometry and algebra form a powerful partnership and coordinate transforms and manifolds provide a powerfully enhanced and unified view of a swathe of other complex system modeling methodologies such as averaging, homogenization, multiple scales, singular perturbations, two timing, and WKB theory.

A Mathematical Modeling Approach from Nonlinear Dynamics to Complex Systems

Author : Elbert E. N. Macau
Publisher : Springer
ISBN 13 : 3319785125
Total Pages : 228 pages
Book Rating : 4.3/5 (197 download)

DOWNLOAD NOW!

Book Synopsis A Mathematical Modeling Approach from Nonlinear Dynamics to Complex Systems by : Elbert E. N. Macau

Download or read book A Mathematical Modeling Approach from Nonlinear Dynamics to Complex Systems written by Elbert E. N. Macau and published by Springer. This book was released on 2018-06-14 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects recent developments in nonlinear and complex systems. It provides up-to-date theoretic developments and new techniques based on a nonlinear dynamical systems approach that can be used to model and understand complex behavior in nonlinear dynamical systems. It covers symmetry groups, conservation laws, risk reduction management, barriers in Hamiltonian systems, and synchronization and chaotic transient. Illustrating mathematical modeling applications to nonlinear physics and nonlinear engineering, the book is ideal for academic and industrial researchers concerned with machinery and controls, manufacturing, and controls. · Introduces new concepts for understanding and modeling complex systems; · Explains risk reduction management in complex systems; · Examines the symmetry group approach to understanding complex systems; · Illustrates the relation between transient chaos and crises.

Computational Models of Complex Systems

Author : Vijay Kumar Mago
Publisher : Springer Science & Business Media
ISBN 13 : 3319012851
Total Pages : 196 pages
Book Rating : 4.3/5 (19 download)

DOWNLOAD NOW!

Book Synopsis Computational Models of Complex Systems by : Vijay Kumar Mago

Download or read book Computational Models of Complex Systems written by Vijay Kumar Mago and published by Springer Science & Business Media. This book was released on 2013-10-31 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational and mathematical models provide us with the opportunities to investigate the complexities of real world problems. They allow us to apply our best analytical methods to define problems in a clearly mathematical manner and exhaustively test our solutions before committing expensive resources. This is made possible by assuming parameter(s) in a bounded environment, allowing for controllable experimentation, not always possible in live scenarios. For example, simulation of computational models allows the testing of theories in a manner that is both fundamentally deductive and experimental in nature. The main ingredients for such research ideas come from multiple disciplines and the importance of interdisciplinary research is well recognized by the scientific community. This book provides a window to the novel endeavours of the research communities to present their works by highlighting the value of computational modelling as a research tool when investigating complex systems. We hope that the readers will have stimulating experiences to pursue research in these directions.

Extraction of Quantifiable Information from Complex Systems

Author : Stephan Dahlke
Publisher : Springer
ISBN 13 : 3319081594
Total Pages : 432 pages
Book Rating : 4.3/5 (19 download)

DOWNLOAD NOW!

Book Synopsis Extraction of Quantifiable Information from Complex Systems by : Stephan Dahlke

Download or read book Extraction of Quantifiable Information from Complex Systems written by Stephan Dahlke and published by Springer. This book was released on 2014-11-13 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: In April 2007, the Deutsche Forschungsgemeinschaft (DFG) approved the Priority Program 1324 “Mathematical Methods for Extracting Quantifiable Information from Complex Systems.” This volume presents a comprehensive overview of the most important results obtained over the course of the program. Mathematical models of complex systems provide the foundation for further technological developments in science, engineering and computational finance. Motivated by the trend toward steadily increasing computer power, ever more realistic models have been developed in recent years. These models have also become increasingly complex, and their numerical treatment poses serious challenges. Recent developments in mathematics suggest that, in the long run, much more powerful numerical solution strategies could be derived if the interconnections between the different fields of research were systematically exploited at a conceptual level. Accordingly, a deeper understanding of the mathematical foundations as well as the development of new and efficient numerical algorithms were among the main goals of this Priority Program. The treatment of high-dimensional systems is clearly one of the most challenging tasks in applied mathematics today. Since the problem of high-dimensionality appears in many fields of application, the above-mentioned synergy and cross-fertilization effects were expected to make a great impact. To be truly successful, the following issues had to be kept in mind: theoretical research and practical applications had to be developed hand in hand; moreover, it has proven necessary to combine different fields of mathematics, such as numerical analysis and computational stochastics. To keep the whole program sufficiently focused, we concentrated on specific but related fields of application that share common characteristics and as such, they allowed us to use closely related approaches.

Data-Driven Modeling & Scientific Computation

Author : J. Nathan Kutz
Publisher : Oxford University Press
ISBN 13 : 0199660336
Total Pages : 657 pages
Book Rating : 4.1/5 (996 download)

DOWNLOAD NOW!

Book Synopsis Data-Driven Modeling & Scientific Computation by : J. Nathan Kutz

Download or read book Data-Driven Modeling & Scientific Computation written by J. Nathan Kutz and published by Oxford University Press. This book was released on 2013-08-08 with total page 657 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combining scientific computing methods and algorithms with modern data analysis techniques, including basic applications of compressive sensing and machine learning, this book develops techniques that allow for the integration of the dynamics of complex systems and big data. MATLAB is used throughout for mathematical solution strategies.

Methods of Mathematical Modelling

Author : Thomas Witelski
Publisher : Springer
ISBN 13 : 3319230425
Total Pages : 305 pages
Book Rating : 4.3/5 (192 download)

DOWNLOAD NOW!

Book Synopsis Methods of Mathematical Modelling by : Thomas Witelski

Download or read book Methods of Mathematical Modelling written by Thomas Witelski and published by Springer. This book was released on 2015-09-18 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents mathematical modelling and the integrated process of formulating sets of equations to describe real-world problems. It describes methods for obtaining solutions of challenging differential equations stemming from problems in areas such as chemical reactions, population dynamics, mechanical systems, and fluid mechanics. Chapters 1 to 4 cover essential topics in ordinary differential equations, transport equations and the calculus of variations that are important for formulating models. Chapters 5 to 11 then develop more advanced techniques including similarity solutions, matched asymptotic expansions, multiple scale analysis, long-wave models, and fast/slow dynamical systems. Methods of Mathematical Modelling will be useful for advanced undergraduate or beginning graduate students in applied mathematics, engineering and other applied sciences.

Mathematical Modeling and Optimization of Complex Structures

Author : Pekka Neittaanmäki
Publisher : Springer
ISBN 13 : 3319235648
Total Pages : 328 pages
Book Rating : 4.3/5 (192 download)

DOWNLOAD NOW!

Book Synopsis Mathematical Modeling and Optimization of Complex Structures by : Pekka Neittaanmäki

Download or read book Mathematical Modeling and Optimization of Complex Structures written by Pekka Neittaanmäki and published by Springer. This book was released on 2015-10-07 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains selected papers in three closely related areas: mathematical modeling in mechanics, numerical analysis, and optimization methods. The papers are based upon talks presented on the International Conference for Mathematical Modeling and Optimization in Mechanics, held in Jyväskylä, Finland, March 6-7, 2014 dedicated to Prof. N. Banichuk on the occasion of his 70th birthday. The articles are written by well-known scientists working in computational mechanics and in optimization of complicated technical models. Also, the volume contains papers discussing the historical development, the state of the art, new ideas, and open problems arising in modern continuum mechanics and applied optimization problems. Several papers are concerned with mathematical problems in numerical analysis, which are also closely related to important mechanical models. The main topics treated include: * Computer simulation methods in mechanics, physics, and biology; * Variational problems and methods; minimization algorithms; * Optimal control problems with distributed and discrete control; * Shape optimization and shape design problems in science and engineering; * Sensitivity analysis and parameters optimization of complex systems.

Modeling Complex Living Systems

Author : N. Bellomo
Publisher : Springer Science & Business Media
ISBN 13 : 0817645101
Total Pages : 229 pages
Book Rating : 4.8/5 (176 download)

DOWNLOAD NOW!

Book Synopsis Modeling Complex Living Systems by : N. Bellomo

Download or read book Modeling Complex Living Systems written by N. Bellomo and published by Springer Science & Business Media. This book was released on 2008 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: Develops different mathematical methods and tools to model living systems. This book presents material that can be used in such real-world applications as immunology, transportation engineering, and economics. It is of interest to those involved in modeling complex social systems and living matter in general.

Industrial Mathematics and Complex Systems

Author : Pammy Manchanda
Publisher : Springer
ISBN 13 : 9811037582
Total Pages : 357 pages
Book Rating : 4.8/5 (11 download)

DOWNLOAD NOW!

Book Synopsis Industrial Mathematics and Complex Systems by : Pammy Manchanda

Download or read book Industrial Mathematics and Complex Systems written by Pammy Manchanda and published by Springer. This book was released on 2017-10-18 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book discusses essential topics in industrial and applied mathematics such as image processing with a special focus on medical imaging, biometrics and tomography. Applications of mathematical concepts to areas like national security, homeland security and law enforcement, enterprise and e-government services, personal information and business transactions, and brain-like computers are also highlighted. These contributions – all prepared by respected academicians, scientists and researchers from across the globe – are based on papers presented at the international conference organized on the occasion of the Silver Jubilee of the Indian Society of Industrial and Applied Mathematics (ISIAM) held from 29 to 31 January 2016 at Sharda University, Greater Noida, India. The book will help young scientists and engineers grasp systematic developments in those areas of mathematics that are essential to properly understand challenging contemporary problems.

Mathematical and Computational Approaches in Advancing Modern Science and Engineering

Author : Jacques Bélair
Publisher : Springer
ISBN 13 : 3319303791
Total Pages : 806 pages
Book Rating : 4.3/5 (193 download)

DOWNLOAD NOW!

Book Synopsis Mathematical and Computational Approaches in Advancing Modern Science and Engineering by : Jacques Bélair

Download or read book Mathematical and Computational Approaches in Advancing Modern Science and Engineering written by Jacques Bélair and published by Springer. This book was released on 2016-08-10 with total page 806 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focusing on five main groups of interdisciplinary problems, this book covers a wide range of topics in mathematical modeling, computational science and applied mathematics. It presents a wealth of new results in the development of modeling theories and methods, advancing diverse areas of applications and promoting interdisciplinary interactions between mathematicians, scientists, engineers and representatives from other disciplines. The book offers a valuable source of methods, ideas, and tools developed for a variety of disciplines, including the natural and social sciences, medicine, engineering, and technology. Original results are presented on both the fundamental and applied level, accompanied by an ample number of real-world problems and examples emphasizing the interdisciplinary nature and universality of mathematical modeling, and providing an excellent outline of today’s challenges. Mathematical modeling, with applied and computational methods and tools, plays a fundamental role in modern science and engineering. It provides a primary and ubiquitous tool in the context making new discoveries, as well as in the development of new theories and techniques for solving key problems arising in scientific and engineering applications. The contributions, which are the product of two highly successful meetings held jointly in Waterloo, Ontario, Canada on the main campus of Wilfrid Laurier University in June 2015, i.e. the International Conference on Applied Mathematics, Modeling and Computational Science, and the Annual Meeting of the Canadian Applied and Industrial Mathematics (CAIMS), make the book a valuable resource for any reader interested in a broader overview of the methods, ideas and tools involved in mathematical and computational approaches developed for other disciplines, including the natural and social sciences, engineering and technology.

Mathematical Modeling

Author : Ludmilla A. Uvarova
Publisher : Springer Science & Business Media
ISBN 13 : 1475733976
Total Pages : 285 pages
Book Rating : 4.4/5 (757 download)

DOWNLOAD NOW!

Book Synopsis Mathematical Modeling by : Ludmilla A. Uvarova

Download or read book Mathematical Modeling written by Ludmilla A. Uvarova and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains review articles and original results obtained in various fields of modern science using mathematical simulation methods. The basis of the articles are the plenary and some section reports that were made and discussed at the Fourth International Mathematical Simulation Conference, held in Moscow on June 27 through July 1, 2000. The conference was devoted to the following scientific areas: • mathematical and computer discrete systems models; • non-linear excitation in condensed media; • complex systems evolution; • mathematical models in economics; • non-equilibrium processes kinematics; • dynamics and structure of the molecular and biomolecular systems; • mathematical transfer models in non-linear systems; • numerical simulation and algorithms; • turbulence and determined chaos; • chemical physics of polymer. This conference was supported by the Russian Ministry of Education, Russian foundation for Basic Research and Federal Program "Integration". This volume contains the following sections: 1. models of non-linear phenomena in physics; 2. numerical methods and computer simulations; 3. mathematical computer models of discrete systems; 4. mathematical models in economics; 5. non-linear models in chemical physics and physical chemistry; 6. mathematical models of transport processes in complex systems. In Sections One and Five a number of fundamental and sufficiently general problems, concerning real physical and physical-chemical systems simulation, is discussed.

Mathematical and Computational Modeling

Author : Roderick Melnik
Publisher : John Wiley & Sons
ISBN 13 : 111885411X
Total Pages : 336 pages
Book Rating : 4.1/5 (188 download)

DOWNLOAD NOW!

Book Synopsis Mathematical and Computational Modeling by : Roderick Melnik

Download or read book Mathematical and Computational Modeling written by Roderick Melnik and published by John Wiley & Sons. This book was released on 2015-04-30 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Illustrates the application of mathematical and computational modeling in a variety of disciplines With an emphasis on the interdisciplinary nature of mathematical and computational modeling, Mathematical and Computational Modeling: With Applications in the Natural and Social Sciences, Engineering, and the Arts features chapters written by well-known, international experts in these fields and presents readers with a host of state-of-the-art achievements in the development of mathematical modeling and computational experiment methodology. The book is a valuable guide to the methods, ideas, and tools of applied and computational mathematics as they apply to other disciplines such as the natural and social sciences, engineering, and technology. Mathematical and Computational Modeling: With Applications in the Natural and Social Sciences, Engineering, and the Arts also features: Rigorous mathematical procedures and applications as the driving force behind mathematical innovation and discovery Numerous examples from a wide range of disciplines to emphasize the multidisciplinary application and universality of applied mathematics and mathematical modeling Original results on both fundamental theoretical and applied developments in diverse areas of human knowledge Discussions that promote interdisciplinary interactions between mathematicians, scientists, and engineers Mathematical and Computational Modeling: With Applications in the Natural and Social Sciences, Engineering, and the Arts is an ideal resource for professionals in various areas of mathematical and statistical sciences, modeling and simulation, physics, computer science, engineering, biology and chemistry, industrial, and computational engineering. The book also serves as an excellent textbook for graduate courses in mathematical modeling, applied mathematics, numerical methods, operations research, and optimization.

Computation of Mathematical Models for Complex Industrial Processes

Author : Yu-Chu Tian
Publisher : World Scientific
ISBN 13 : 9814616575
Total Pages : 164 pages
Book Rating : 4.8/5 (146 download)

DOWNLOAD NOW!

Book Synopsis Computation of Mathematical Models for Complex Industrial Processes by : Yu-Chu Tian

Download or read book Computation of Mathematical Models for Complex Industrial Processes written by Yu-Chu Tian and published by World Scientific. This book was released on 2014-05-29 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed for undergraduate and postgraduate students, academic researchers and industrial practitioners, this book provides comprehensive case studies on numerical computing of industrial processes and step-by-step procedures for conducting industrial computing. It assumes minimal knowledge in numerical computing and computer programming, making it easy to read, understand and follow. Topics discussed include fundamentals of industrial computing, finite difference methods, the Wavelet-Collocation Method, the Wavelet-Galerkin Method, High Resolution Methods, and comparative studies of various methods. These are discussed using examples of carefully selected models from real processes of industrial significance. The step-by-step procedures in all these case studies can be easily applied to other industrial processes without a need for major changes. Thus, they provide readers with useful frameworks for the applications of engineering computing in fundamental research problems and practical development scenarios. Contents:IntroductionFundamentals of Process Modelling and Model ComputationFinite Difference Methods for Ordinary Differential Equation ModelsFinite Difference Methods for Partial Differential Equation ModelsWavelets-Based MethodsHigh Resolution MethodsComparative Studies of Numerical Methods for SMB Chromatographic ProcessesConclusion Readership: Students, academics and practitioners in the field of chemical engineering, numerical analysis and computational mathematics. Key Features:Comprehensive and representative examples and case studiesFocus on computational aspectsDeals with modelingStep-by-step procedures for industrial computingKeywords:Process Modeling;Model Computation;Numerical Computing;Process Systems Engineering;Process Dynamics;Complex Processes

Mathematical Modelling and Optimization of Engineering Problems

Author : J. A. Tenreiro Machado
Publisher : Springer Nature
ISBN 13 : 3030370623
Total Pages : 204 pages
Book Rating : 4.0/5 (33 download)

DOWNLOAD NOW!

Book Synopsis Mathematical Modelling and Optimization of Engineering Problems by : J. A. Tenreiro Machado

Download or read book Mathematical Modelling and Optimization of Engineering Problems written by J. A. Tenreiro Machado and published by Springer Nature. This book was released on 2020-02-12 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent developments in modelling and optimization of engineering systems and the use of advanced mathematical methods for solving complex real-world problems. It provides recent theoretical developments and new techniques based on control, optimization theory, mathematical modeling and fractional calculus that can be used to model and understand complex behavior in natural phenomena including latest technologies such as additive manufacturing. Specific topics covered in detail include combinatorial optimization, flow and heat transfer, mathematical modelling, energy storage and management policy, artificial intelligence, optimal control, modelling and optimization of manufacturing systems.

Modeling of Complex Systems

Author : V. Vemuri
Publisher : Academic Press
ISBN 13 : 1483267520
Total Pages : 464 pages
Book Rating : 4.4/5 (832 download)

DOWNLOAD NOW!

Book Synopsis Modeling of Complex Systems by : V. Vemuri

Download or read book Modeling of Complex Systems written by V. Vemuri and published by Academic Press. This book was released on 2014-05-10 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modeling of Complex Systems: An Introduction describes the framework of complex systems. This book discusses the language of system theory, taxonomy of system concepts, steps in model building, and establishing relations using physical laws. The statistical attributes of data, generation of random numbers fundamental problems of recognition, and input-output type models are also elaborated. This text likewise covers the optimization with equality constraints, transfer function models, and competition among species. This publication is written primarily for senior undergraduate students and beginning graduate students who are interested in an interdisciplinary or multidisciplinary approach to large-scale or complex problems of contemporary societal interest.

Mathematical Modeling of Complex Biological Systems

Author : Abdelghani Bellouquid
Publisher : Springer Science & Business Media
ISBN 13 : 0817645039
Total Pages : 194 pages
Book Rating : 4.8/5 (176 download)

DOWNLOAD NOW!

Book Synopsis Mathematical Modeling of Complex Biological Systems by : Abdelghani Bellouquid

Download or read book Mathematical Modeling of Complex Biological Systems written by Abdelghani Bellouquid and published by Springer Science & Business Media. This book was released on 2007-10-10 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the evolution of several socio-biological systems using mathematical kinetic theory. Specifically, it deals with modeling and simulations of biological systems whose dynamics follow the rules of mechanics as well as rules governed by their own ability to organize movement and biological functions. It proposes a new biological model focused on the analysis of competition between cells of an aggressive host and cells of a corresponding immune system. Proposed models are related to the generalized Boltzmann equation. The book may be used for advanced graduate courses and seminars in biological systems modeling.