New Paradigms In Computational Modeling And Its Applications

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New Paradigms in Computational Modeling and Its Applications

Snehashish Chakraverty
New Paradigms in Computational Modeling and Its Applications Book PDF

Author : Snehashish Chakraverty
Publisher : Academic Press
Page : 280 pages
File Size : 46,7 Mb
Release : 2021-01-09
Category : Science
ISBN : 9780128221686

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New Paradigms in Computational Modeling and Its Applications by Snehashish Chakraverty Pdf

In general, every problem of science and engineering is governed by mathematical models. There is often a need to model, solve and interpret the problems one encounters in the world of practical problems. Models of practical application problems usually need to be handled by efficient computational models. New Paradigms in Computational Modeling and Its Applications deals with recent developments in mathematical methods, including theoretical models as well as applied science and engineering. The book focuses on subjects that can benefit from mathematical methods with concepts of simulation, waves, dynamics, uncertainty, machine intelligence, and applied mathematics. The authors bring together leading-edge research on mathematics combining various fields of science and engineering. This perspective acknowledges the inherent characteristic of current research on mathematics operating in parallel over different subject fields. New Paradigms in Computational Modeling and Its Applications meets the present and future needs for the interaction between various science and technology/engineering areas on the one hand and different branches of mathematics on the other. As such, the book contains 13 chapters covering various aspects of computational modeling from theoretical to application problems. The first six chapters address various problems of structural and fluid dynamics. The next four chapters include solving problems where the governing parameters are uncertain regarding fuzzy, interval, and affine. The final three chapters will be devoted to the use of machine intelligence in artificial neural networks. Presents a self-contained and up to date review of modelling real life scientific and engineering application problems Introduces new concepts of various computing techniques to handle different engineering and science problems Demonstrates the efficiency and power of the various algorithms and models in a simple and easy to follow style, including numerous examples to illustrate concepts and algorithms

Mathematical and Computational Modeling

Roderick Melnik
Mathematical and Computational Modeling Book PDF

Author : Roderick Melnik
Publisher : John Wiley & Sons
Page : 321 pages
File Size : 40,7 Mb
Release : 2015-05-18
Category : Mathematics
ISBN : 9781118853986

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Mathematical and Computational Modeling by Roderick Melnik Pdf

Mathematical and Computational Modeling 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-theart 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. The book 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, and 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.

Soft Computing in Interdisciplinary Sciences

S. Chakraverty
Soft Computing in Interdisciplinary Sciences Book PDF

Author : S. Chakraverty
Publisher : Springer Nature
Page : 264 pages
File Size : 50,9 Mb
Release : 2021-11-01
Category : Technology & Engineering
ISBN : 9789811647130

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Soft Computing in Interdisciplinary Sciences by S. Chakraverty Pdf

This book meets the present and future needs for the interaction between various science and technology/engineering areas on the one hand and different branches of soft computing on the other. Soft computing is the recent development about the computing methods which include fuzzy set theory/logic, evolutionary computation (EC), probabilistic reasoning, artificial neural networks, machine learning, expert systems, etc. Soft computing refers to a partnership of computational techniques in computer science, artificial intelligence, machine learning, and some other engineering disciplines, which attempt to study, model, and analyze complex problems from different interdisciplinary problems. This, as opposed to traditional computing, deals with approximate models and gives solutions to complex real-life problems. Unlike hard computing, soft computing is tolerant of imprecision, uncertainty, partial truth, and approximations. Interdisciplinary sciences include various challenging problems of science and engineering. Recent developments in soft computing are the bridge to handle different interdisciplinary science and engineering problems. In recent years, the correspondingly increased dialog between these disciplines has led to this new book. This is done, firstly, by encouraging the ways that soft computing may be applied in traditional areas, as well as point towards new and innovative areas of applications and secondly, by encouraging other scientific disciplines to engage in a dialog with the above computation algorithms outlining their problems to both access new methods as well as to suggest innovative developments within itself.

Advances in Computational Modeling and Simulation

Rallapalli Srinivas,Rajesh Kumar,Mainak Dutta
Advances in Computational Modeling and Simulation Book PDF

Author : Rallapalli Srinivas,Rajesh Kumar,Mainak Dutta
Publisher : Springer Nature
Page : 243 pages
File Size : 47,6 Mb
Release : 2022-02-15
Category : Computers
ISBN : 9789811678578

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Advances in Computational Modeling and Simulation by Rallapalli Srinivas,Rajesh Kumar,Mainak Dutta Pdf

The book presents select proceedings of Global meet on ‘Computational Modelling and Simulation, Recent Innovations, Challenges and Perspectives, 2020. This book covers leading-edge technologies from different domains such as computation in optimization and control, multiscale and multiphysics modeling and computation analysis, environmental modeling, modeling approaches to enterprise systems and services, finite element analysis, dependability and security, high-performance computation/cloud computing applications, computational biology and chemistry and computational mechanics. The primary goal of this book is to strengthen pre-eminence in computational modeling and simulation by catalyzing the transformative use of innovative developments in a wide range of disciplines to achieve lasting societal impact. The book discusses on how to perform simulation of large complex dynamic systems in an efficient manner using advanced computational analysis. The inter-disciplinary nature of the book would be a valuable reference for academicians and research scientists, industrialists interested in modelling and simulation driven by computational technology.

Handbook of Research on Technological Advances of Library and Information Science in Industry 5.0

Holland, Barbara Jane
Handbook of Research on Technological Advances of Library and Information Science in Industry 5 0 Book PDF

Author : Holland, Barbara Jane
Publisher : IGI Global
Page : 584 pages
File Size : 45,8 Mb
Release : 2022-12-29
Category : Language Arts & Disciplines
ISBN : 9781668447567

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Handbook of Research on Technological Advances of Library and Information Science in Industry 5.0 by Holland, Barbara Jane Pdf

Industry 5.0 is advancing the collaboration between humans and machines and is finding value through connected virtual and human experiences. This technological revolution benefits numerous fields; however, the library and information science industry in particular can evolve and expand by embracing Industry 5.0. The Handbook of Research on Technological Advances of Library and Information Science in Industry 5.0 considers the current research and future trends of technological advances in library and information science related to Industry 5.0. Covering key topics such as robotics, smart libraries, augmented reality, digital libraries, and artificial intelligence, this major reference work is ideal for librarians, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.

Mathematical Methods in Dynamical Systems

S. Chakraverty,Subrat Kumar Jena
Mathematical Methods in Dynamical Systems Book PDF

Author : S. Chakraverty,Subrat Kumar Jena
Publisher : CRC Press
Page : 508 pages
File Size : 44,8 Mb
Release : 2023-05-19
Category : Mathematics
ISBN : 9781000833805

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Mathematical Methods in Dynamical Systems by S. Chakraverty,Subrat Kumar Jena Pdf

The art of applying mathematics to real-world dynamical problems such as structural dynamics, fluid dynamics, wave dynamics, robot dynamics, etc. can be extremely challenging. Various aspects of mathematical modelling that may include deterministic or uncertain (fuzzy, interval, or stochastic) scenarios, along with integer or fractional order, are vital to understanding these dynamical systems. Mathematical Methods in Dynamical Systems offers problem-solving techniques and includes different analytical, semi-analytical, numerical, and machine intelligence methods for finding exact and/or approximate solutions of governing equations arising in dynamical systems. It provides a singular source of computationally efficient methods to investigate these systems and includes coverage of various industrial applications in a simple yet comprehensive way.

New Computational Paradigms

S.B. Cooper,Benedikt Löwe,Andrea Sorbi
New Computational Paradigms Book PDF

Author : S.B. Cooper,Benedikt Löwe,Andrea Sorbi
Publisher : Springer Science & Business Media
Page : 560 pages
File Size : 46,9 Mb
Release : 2007-11-28
Category : Computers
ISBN : 9780387685465

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New Computational Paradigms by S.B. Cooper,Benedikt Löwe,Andrea Sorbi Pdf

This superb exposition of a complex subject examines new developments in the theory and practice of computation from a mathematical perspective, with topics ranging from classical computability to complexity, from biocomputing to quantum computing. This book is suitable for researchers and graduate students in mathematics, philosophy, and computer science with a special interest in logic and foundational issues. Most useful to graduate students are the survey papers on computable analysis and biological computing. Logicians and theoretical physicists will also benefit from this book.

Generative Social Science: Studies in Agent-Based Computational Modeling

Joshua M. Epstein
Generative Social Science Studies in Agent Based Computational Modeling Book PDF

Author : Joshua M. Epstein
Publisher : Princeton University Press
Page : 378 pages
File Size : 50,9 Mb
Release : 2006
Category : Business & Economics
ISBN : 9780691125473

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Generative Social Science: Studies in Agent-Based Computational Modeling by Joshua M. Epstein Pdf

Agent-based computational modeling is changing the face of social science. This book argues that this powerful technique permits the social sciences to meet an explanation, in which one 'grows' the phenomenon of interest in an artificial society of interacting agents: heterogeneous, boundedly rational actors.

Echnology Assessment in Software Applications

Harold F. O'Neil, Jr.,Eva Baker,Harold F. O'Neil
Echnology Assessment in Software Applications Book PDF

Author : Harold F. O'Neil, Jr.,Eva Baker,Harold F. O'Neil
Publisher : Routledge
Page : 296 pages
File Size : 42,6 Mb
Release : 2013-11-05
Category : Education
ISBN : 9781135442828

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Echnology Assessment in Software Applications by Harold F. O'Neil, Jr.,Eva Baker,Harold F. O'Neil Pdf

This volume offers an expansion of ideas presented at a recent conference convened to identify the major strategies and more promising practices for assessing technology. The authors -- representing government, business, and university sectors -- helped to set the boundaries of present technology assessment by offering perspectives from computer science, cognitive and military psychology, and education. Their work explores both the use of techniques to assess technology and the use of technology to facilitate the assessment process. The book's main purpose is to portray the state of the art in technology assessment and to provide conceptual options to help readers understand the power of technology. Technological innovation will continue to develop its own standards of practice and effectiveness. To the extent that these practices are empirically based, designers, supporters, and consumers will be given better information for their decisions.

Computational Modelling of Objects Represented in Images. Fundamentals, Methods and Applications

João Manuel R.S. Tavares,Jorge R.M. Natal
Computational Modelling of Objects Represented in Images Fundamentals Methods and Applications Book PDF

Author : João Manuel R.S. Tavares,Jorge R.M. Natal
Publisher : CRC Press
Page : 704 pages
File Size : 54,9 Mb
Release : 2018-05-08
Category : Technology & Engineering
ISBN : 9781351377126

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Computational Modelling of Objects Represented in Images. Fundamentals, Methods and Applications by João Manuel R.S. Tavares,Jorge R.M. Natal Pdf

This book contains keynote lectures and full papers presented at the International Symposium on Computational Modelling of Objects Represented in Images (CompIMAGE), held in Coimbra, Portugal, on 20-21 October 2006. International contributions from nineteen countries provide a comprehensive coverage of the current state-of-the-art in the fields of: - Image Processing and Analysis; - Image Segmentation; - Data Interpolation; - Registration, Acquisition and Compression; - 3D Reconstruction; - Objects Tracking; - Motion and Deformation Analysis; - Objects Simulation; - Medical Imaging; - Computational Bioimaging and Visualization. Related techniques also covered in this book include the finite element method, modal analyses, stochastic methods, principal and independent components analyses and distribution models. Computational Modelling of Objects Represented in Images will be useful to academics, researchers and professionals in Computational Vision (image processing and analysis), Computer Sciences, and Computational Mechanics.

Advances in Intelligent Modelling and Simulation

Joanna Kołodziej,Samee Ullah Khan,Tadeusz Burczy ́nski
Advances in Intelligent Modelling and Simulation Book PDF

Author : Joanna Kołodziej,Samee Ullah Khan,Tadeusz Burczy ́nski
Publisher : Springer
Page : 384 pages
File Size : 42,5 Mb
Release : 2012-07-11
Category : Technology & Engineering
ISBN : 9783642301544

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Advances in Intelligent Modelling and Simulation by Joanna Kołodziej,Samee Ullah Khan,Tadeusz Burczy ́nski Pdf

One of the most challenging issues in today’s large-scale computational modeling and design is to effectively manage the complex distributed environments, such as computational clouds, grids, ad hoc, and P2P networks operating under various types of users with evolving relationships fraught with uncertainties. In this context, the IT resources and services usually belong to different owners (institutions, enterprises, or individuals) and are managed by different administrators. Moreover, uncertainties are presented to the system at hand in various forms of information that are incomplete, imprecise, fragmentary, or overloading, which hinders in the full and precise resolve of the evaluation criteria, subsequencing and selection, and the assignment scores. Intelligent scalable systems enable the flexible routing and charging, advanced user interactions and the aggregation and sharing of geographically-distributed resources in modern large-scale systems. This book presents new ideas, theories, models, technologies, system architectures and implementation of applications in intelligent scalable computing systems. In 15 chapters, several important Artificial Intelligence-based techniques, such as fuzzy logic, neural networks, evolutionary, and memetic algorithms are studied and implemented. All of those technologies have formed the foundation for the intelligent scalable computing that we know of today. We believe that this book will serve as a reference for students, researchers, and industry practitioners working or interested in joining interdisciplinary research in the areas of intelligent decision systems using emergent distributed computing paradigms. It will also allow newcomers (students and researchers alike) to grasp key issues and potential solutions on the selected topics. This book presents new ideas, theories, models, technologies, system architectures and implementation of applications in intelligent scalable computing systems. In 15 chapters, several important Artificial Intelligence-based techniques, such as fuzzy logic, neural networks, evolutionary, and memetic algorithms are studied and implemented. All of those technologies have formed the foundation for the intelligent scalable computing that we know of today. We believe that this book will serve as a reference for students, researchers, and industry practitioners working or interested in joining interdisciplinary research in the areas of intelligent decision systems using emergent distributed computing paradigms. It will also allow newcomers (students and researchers alike) to grasp key issues and potential solutions on the selected topics.

Multi-Chaos, Fractal and Multi-Fractional Artificial Intelligence of Different Complex Systems

Yeliz Karaca,Dumitru Baleanu,Yu-Dong Zhang,Osvaldo Gervasi,Majaz Moonis
Multi Chaos Fractal and Multi Fractional Artificial Intelligence of Different Complex Systems Book PDF

Author : Yeliz Karaca,Dumitru Baleanu,Yu-Dong Zhang,Osvaldo Gervasi,Majaz Moonis
Publisher : Academic Press
Page : 352 pages
File Size : 47,8 Mb
Release : 2022-06-22
Category : Science
ISBN : 9780323886161

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Multi-Chaos, Fractal and Multi-Fractional Artificial Intelligence of Different Complex Systems by Yeliz Karaca,Dumitru Baleanu,Yu-Dong Zhang,Osvaldo Gervasi,Majaz Moonis Pdf

Multi-Chaos, Fractal and Multi-Fractional Artificial Intelligence of Different Complex Systems addresses different uncertain processes inherent in the complex systems, attempting to provide global and robust optimized solutions distinctively through multifarious methods, technical analyses, modeling, optimization processes, numerical simulations, case studies as well as applications including theoretical aspects of complexity. Foregrounding Multi-chaos, Fractal and Multi-fractional in the era of Artificial Intelligence (AI), the edited book deals with multi- chaos, fractal, multifractional, fractional calculus, fractional operators, quantum, wavelet, entropy-based applications, artificial intelligence, mathematics-informed and data driven processes aside from the means of modelling, and simulations for the solution of multifaceted problems characterized by nonlinearity, non-regularity and self-similarity, frequently encountered in different complex systems. The fundamental interacting components underlying complexity, complexity thinking, processes and theory along with computational processes and technologies, with machine learning as the core component of AI demonstrate the enabling of complex data to augment some critical human skills. Appealing to an interdisciplinary network of scientists and researchers to disseminate the theory and application in medicine, neurology, mathematics, physics, biology, chemistry, information theory, engineering, computer science, social sciences and other far-reaching domains, the overarching aim is to empower out-of-the-box thinking through multifarious methods, directed towards paradoxical situations, uncertain processes, chaotic, transient and nonlinear dynamics of complex systems. Constructs and presents a multifarious approach for critical decision-making processes embodying paradoxes and uncertainty. Includes a combination of theory and applications with regard to multi-chaos, fractal and multi-fractional as well as AI of different complex systems and many-body systems. Provides readers with a bridge between application of advanced computational mathematical methods and AI based on comprehensive analyses and broad theories.

Applied Computational Materials Modeling

Guillermo Bozzolo,Ronald D. Noebe,Phillip B. Abel
Applied Computational Materials Modeling Book PDF

Author : Guillermo Bozzolo,Ronald D. Noebe,Phillip B. Abel
Publisher : Springer
Page : 0 pages
File Size : 40,5 Mb
Release : 2010-10-29
Category : Technology & Engineering
ISBN : 1441935754

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Applied Computational Materials Modeling by Guillermo Bozzolo,Ronald D. Noebe,Phillip B. Abel Pdf

The scope of this book is to identify and emphasize the successful link between computational materials modeling as a simulation and design tool and its synergistic application to experimental research and alloy development. The book provides a more balanced perspective of the role that computational modeling can play in every day research and development efforts. Each chapter describes one or more particular computational tool and how they are best used.

Advances in Computational Modeling Research

Anna Belya Kora
Advances in Computational Modeling Research Book PDF

Author : Anna Belya Kora
Publisher : Nova Science Publishers
Page : 206 pages
File Size : 55,9 Mb
Release : 2013
Category : Mathematics
ISBN : 1626180660

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Advances in Computational Modeling Research by Anna Belya Kora Pdf

Agent-based models (ABM) and computational models simulate the actions and interactions of autonomous agents (both individual or collective entities such as organizations or groups) with a view to assessing their effects on the system as a whole. They combine elements of game theory, complex systems, emergence, computational sociology, multi-agent systems, and evolutionary programming. In this book, the authors discuss the modeling, simulation and optimization of resources management in hospital emergency departments using the agent-based approach; computational modeling in male reproduction; consumer-centric agent-based marketing models; Lattice-Boltzmann simulation of transport phenomena in agroindustrial biosystems; agent-based models in cancer prevention research; model-based approaches to diagnosis of multi-agent plans; and modeling behavior of web users as agents with reason and sentiment.

Advances in Applied Mathematics, Modeling, and Computational Science

Roderick Melnik,Ilias S. Kotsireas
Advances in Applied Mathematics Modeling and Computational Science Book PDF

Author : Roderick Melnik,Ilias S. Kotsireas
Publisher : Springer Science & Business Media
Page : 242 pages
File Size : 47,8 Mb
Release : 2012-09-22
Category : Mathematics
ISBN : 9781461453895

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Advances in Applied Mathematics, Modeling, and Computational Science by Roderick Melnik,Ilias S. Kotsireas Pdf

The volume presents a selection of in-depth studies and state-of-the-art surveys of several challenging topics that are at the forefront of modern applied mathematics, mathematical modeling, and computational science. These three areas represent the foundation upon which the methodology of mathematical modeling and computational experiment is built as a ubiquitous tool in all areas of mathematical applications. This book covers both fundamental and applied research, ranging from studies of elliptic curves over finite fields with their applications to cryptography, to dynamic blocking problems, to random matrix theory with its innovative applications. The book provides the reader with state-of-the-art achievements in the development and application of new theories at the interface of applied mathematics, modeling, and computational science. This book aims at fostering interdisciplinary collaborations required to meet the modern challenges of applied mathematics, modeling, and computational science. At the same time, the contributions combine rigorous mathematical and computational procedures and examples from applications ranging from engineering to life sciences, providing a rich ground for graduate student projects.