Mathematical Modeling of Technological Processes

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Publisher : Springer
ISBN 13 : 3319250582
Total Pages : 223 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Mathematical Modeling of Technological Processes by : Nargozy Danaev

Download or read book Mathematical Modeling of Technological Processes written by Nargozy Danaev and published by Springer. This book was released on 2015-10-15 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Mathematical modeling of technological processes track of the 8th International Conference on Computational and Information Technologies in Science, Engineering and Education, CITech 2015, held in Almaty, Kazakhstan, in September 2015. The 20 papers and one short paper presented were carefully reviewed and selected from 56 submissions to the track. They provide a forum for sharing new aspects of the progresses in the areas of mathematical modeling of technological processes; process automation and control; high performance computing; simulation.

Optimization Methods in Mathematical Modeling of Technological Processes

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Publisher : Springer Nature
ISBN 13 : 3031353390
Total Pages : 181 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Optimization Methods in Mathematical Modeling of Technological Processes by : Alena Vagaská

Download or read book Optimization Methods in Mathematical Modeling of Technological Processes written by Alena Vagaská and published by Springer Nature. This book was released on 2023-07-20 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on selected methods of applied mathematics that are aimed at mathematical optimization, with an emphasis on their application in engineering practice. It delves into the current mathematical modeling of processes and systems, with a specific focus on the optimization modeling of technological processes. The authors discuss suitable linear, convex, and nonlinear optimization methods for solving problems in engineering practice. Real-world examples and data are used to numerically illustrate the implementation of these methods, utilizing the popular MATLAB software system and its extension to convex optimization. The book covers a wide range of topics, including mathematical modeling, linear programming, convex programming, and nonlinear programming, all with an engineering optimization perspective. It serves as a comprehensive guide for engineers, researchers, and students interested in the practical application of optimization methods in engineering.

Progress in Applied Mathematical Modeling

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Publisher : Nova Publishers
ISBN 13 : 9781600219764
Total Pages : 386 pages
Book Rating : 4.2/5 (197 download)

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Book Synopsis Progress in Applied Mathematical Modeling by : Fengshan Yang

Download or read book Progress in Applied Mathematical Modeling written by Fengshan Yang and published by Nova Publishers. This book was released on 2008 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents new research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. It includes heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimisation; finite volume, finite element, and boundary element procedures; decision sciences in an industrial and manufacturing context; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering.

Structural Mathematical Modeling Applications in Technological Machines and Transportation Vehicles

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Publisher : IGI Global
ISBN 13 : 1668472392
Total Pages : 302 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Structural Mathematical Modeling Applications in Technological Machines and Transportation Vehicles by : Eliseev, Andrey

Download or read book Structural Mathematical Modeling Applications in Technological Machines and Transportation Vehicles written by Eliseev, Andrey and published by IGI Global. This book was released on 2023-06-09 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: As technology continues to advance, the complexity of technological machines and transportation vehicles increases, presenting new challenges in assessing their dynamic properties. A thorough explanation of new forms of construction of mathematical models that take into account the potential occurrence of new standard links in the initial oscillatory structures is needed for a comprehensive solution to the challenges posed by the dynamics of machines. Structural Mathematical Modeling Applications in Technological Machines and Transportation Vehicles by Andrey Eliseev evaluates solutions on how to accurately assess the dynamic properties of modern machines. Eliseev's in-depth analysis of the interconnectedness of the processes of studying the state of the technical object, evaluating its dynamic properties, and solving specific problems of dynamic interaction of machine elements provides a unique perspective on the challenges posed by machine dynamics. This book is an essential resource for specialists in the field of research, design, and calculations of technical objects exposed to dynamic loads, as well as students and postgraduates of technical specialties related to the application of system analysis and mathematical modeling.

Mathematical Modeling for Industrial Processes

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Publisher : Springer Science & Business Media
ISBN 13 : 3642874274
Total Pages : 132 pages
Book Rating : 4.6/5 (428 download)

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Book Synopsis Mathematical Modeling for Industrial Processes by : L.P. Hyvärinen

Download or read book Mathematical Modeling for Industrial Processes written by L.P. Hyvärinen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: These notes are based on the material presented in a series of lec tures in the IBM Systems Research Institute (ESRI) in Geneva durJng 1967-1969 to systems engineers working in the design and programming of computer systems for control and monitoring of i~nustrial proc esses. The purpose of the lectures and this book is to give a survey of dif ferent approaches in developing models to describe the behavior of the process in terms of controllable variables. It does not cover the theory of control, stability of control systems, nor techniques in data acquisition or problems in instrumentation and sampling. But certain aspects in the organization of data collection and design of experiments are obtained as side products, notably the concept of orthogonality. The reader is assumed to have a working knowledge of elementary prob ability theory and mathematical statistics. Therefore, the text con tains no introduction to these concepts. The author is aware of some inaccuracies in not making proper dis tinction between population parameters and their sample estimates in the text, but this should alw~s be evident from the context. The same applies to the occasional replacement of number of degrees of freedom by the number of samples in the data. In practice, computer collected sets of data consist of a high number of samples and the difference between the two is inSignificant.

Mathematical Modeling and Simulation of Systems

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Publisher : Springer Nature
ISBN 13 : 3030899020
Total Pages : 489 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Mathematical Modeling and Simulation of Systems by : Serhiy Shkarlet

Download or read book Mathematical Modeling and Simulation of Systems written by Serhiy Shkarlet and published by Springer Nature. This book was released on 2022-02-23 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains works on mathematical and simulation modeling of processes in various domains: ecology and geographic information systems, IT, industry, and project management. The development of complex multicomponent systems requires an increase in accuracy, efficiency, and adequacy while reducing the cost of their creation. The studies presented in the book are useful to specialists who involved in the development of real events models-analog, management and decision-making models, production models, and software products. Scientists can get acquainted with the latest research in various decisions proposed by leading scholars and identify promising directions for solving complex scientific and practical problems. The chapters of this book contain the contributions presented on the 16th International Scientific-practical Conference, MODS, June 28–July 01, 2021, Chernihiv, Ukraine.

Mathematical Modelling in Science and Technology

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Publisher : Elsevier
ISBN 13 : 1483190595
Total Pages : 1023 pages
Book Rating : 4.4/5 (831 download)

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Book Synopsis Mathematical Modelling in Science and Technology by : Xavier J.R. Avula

Download or read book Mathematical Modelling in Science and Technology written by Xavier J.R. Avula and published by Elsevier. This book was released on 2014-05-09 with total page 1023 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical Modelling in Science and Technology: The Fourth International Conference covers the proceedings of the Fourth International Conference by the same title, held at the Swiss Federal Institute of Technology, Zurich, Switzerland on August 15-17, 1983. Mathematical modeling is a powerful tool to solve many complex problems presented by scientific and technological developments. This book is organized into 20 parts encompassing 180 chapters. The first parts present the basic principles, methodology, systems theory, parameter estimation, system identification, and optimization of mathematical modeling. The succeeding parts discuss the features of stochastic and numerical modeling and simulation languages. Considerable parts deal with the application areas of mathematical modeling, such as in chemical engineering, solid and fluid mechanics, water resources, medicine, economics, transportation, and industry. The last parts tackle the application of mathematical modeling in student management and other academic cases. This book will prove useful to researchers in various science and technology fields.

Mathematical Modeling and Simulation of Systems

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Publisher : Springer
ISBN 13 : 303025741X
Total Pages : 260 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Mathematical Modeling and Simulation of Systems by : Alexander Palagin

Download or read book Mathematical Modeling and Simulation of Systems written by Alexander Palagin and published by Springer. This book was released on 2019-07-17 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents current investigations in the field of mathematical modeling and simulation to support the development of intelligent information systems in domains such as ecology and geology, manufacturing, project management, and safety of distributed information systems. The book will be of interest to developers of modern high-tech software complexes for situational control centers, based on mathematical modeling and simulation methods. In addition, it will appeal to software engineers and programmers, offering them new implementation and application methods. Gathering the latest research, prepared by leading scholars, and identifying promising new directions for solving complex scientific and practical problems, the book presents selected outcomes of the 14th International Scientific-Practical Conference, MODS2019, held in Chernihiv, Ukraine, on June 24 to 26, 2019.

Modeling and Optimization of the Lifetime of Technologies

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Publisher : Springer Science & Business Media
ISBN 13 : 1461334462
Total Pages : 282 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Modeling and Optimization of the Lifetime of Technologies by : N.V. Hritonenko

Download or read book Modeling and Optimization of the Lifetime of Technologies written by N.V. Hritonenko and published by Springer Science & Business Media. This book was released on 2013-12-01 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern economic growth is characterized by structural changes based on the introduction of new technologies into economics. The replacement and renova tion of technologies in industrial environments undergoing technical change is clearly one of the key aspects of economic development. The mathematical modeling of evolutionary economics under technical change (TC) has been rigorously considered by many authors during last decades. There is a wide variety of economic approaches and models describing different aspects of technical change. Among these are the models of embodied technical progress [19], [35], [70], [129], endogenous growth models [94], [102], the models of technological innovations [31], [32], [41], and others. The perspective self organization evolutionary approach is developed in [20], [38], [122], [123], [124], [126], which unites the aspects of diffusion of new technologies, technological and behavioral diversity of firms, learning mechanisms, age-dependent effects, and other important features of real-life economics. On the whole, an interest in evolutionary economics has brought considerable progress in the description and conceptualization of the sources, characteristics, direction and effects of technical change [125]. However, the modeling and control of technology lifetime under technical change has received rather little attention in mathematical economics in con trary to other aspects of technical progress. The lifetime of technologies has rarely been formally treated as a part of more general mathematical theory of economic dynamics. A problem which is still to be resolved consists in establishing the rational strategies of technologies' replacement under various assumptions on the behavior of technical change.

Applications of Mathematical Modeling, Machine Learning, and Intelligent Computing for Industrial Development

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Publisher : CRC Press
ISBN 13 : 1000885550
Total Pages : 425 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Applications of Mathematical Modeling, Machine Learning, and Intelligent Computing for Industrial Development by : Madhu Jain

Download or read book Applications of Mathematical Modeling, Machine Learning, and Intelligent Computing for Industrial Development written by Madhu Jain and published by CRC Press. This book was released on 2023-06-07 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: The text focuses on mathematical modeling and applications of advanced techniques of machine learning, and artificial intelligence, including artificial neural networks, evolutionary computing, data mining, and fuzzy systems to solve performance and design issues more precisely. Intelligent computing encompasses technologies, algorithms, and models in providing effective and efficient solutions to a wide range of problems, including the airport’s intelligent safety system. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in fields that include industrial engineering, manufacturing engineering, computer engineering, and mathematics. The book: Discusses mathematical modeling for traffic, sustainable supply chain, vehicular Ad-Hoc networks, and internet of things networks with intelligent gateways Covers advanced machine learning, artificial intelligence, fuzzy systems, evolutionary computing, and data mining techniques for real- world problems Presents applications of mathematical models in chronic diseases such as kidney and coronary artery diseases Highlights advances in mathematical modeling, strength, and benefits of machine learning and artificial intelligence, including driving goals, applicability, algorithms, and processes involved Showcases emerging real-life topics on mathematical models, machine learning, and intelligent computing using an interdisciplinary approach The text presents emerging real-life topics on mathematical models, machine learning, and intelligent computing in a single volume. It will serve as an ideal text for senior undergraduate students, graduate students, and researchers in diverse fields, including industrial and manufacturing engineering, computer engineering, and mathematics.

Differential Models

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Publisher : Springer Science & Business Media
ISBN 13 : 3540268200
Total Pages : 238 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Differential Models by : Alexander Solodov

Download or read book Differential Models written by Alexander Solodov and published by Springer Science & Business Media. This book was released on 2005-11-27 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Differential equations are often used in mathematical models for technological processes or devices. However, the design of a differential mathematical model is crucial and difficult in engineering. As a hands-on approach to learn how to pose a differential mathematical model the authors have selected 9 examples with important practical application and treat them as following: - Problem-setting and physical model formulation - Designing the differential mathematical model - Integration of the differential equations - Visualization of results Each step of the development of a differential model is enriched by respective Mathcad 11 commands, todays necessary linkage of engineering significance and high computing complexity. To support readers of the book with respect to changes that might occur in future versions of Mathcad (Mathcad 12 for example), updates of examples, codes etc. can be downloaded from the following web page www.thermal.ru. Readers can work with Mathcad-sheets of the book without any Mathcad by help Mathcad Application Server Technology.

Mathematical Modeling and Computation of Real-Time Problems

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Publisher : CRC Press
ISBN 13 : 1000288676
Total Pages : 172 pages
Book Rating : 4.0/5 (2 download)

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Book Synopsis Mathematical Modeling and Computation of Real-Time Problems by : Rakhee Kulshrestha

Download or read book Mathematical Modeling and Computation of Real-Time Problems written by Rakhee Kulshrestha and published by CRC Press. This book was released on 2021-01-04 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers an interdisciplinary approach for understanding mathematical modeling by offering a collection of models, solved problems related to the models, the methodologies employed, and the results using projects and case studies with insight into the operation of substantial real-time systems. The book covers a broad scope in the areas of statistical science, probability, stochastic processes, fluid dynamics, supply chain, optimization, and applications. It discusses advanced topics and the latest research findings, uses an interdisciplinary approach for real-time systems, offers a platform for integrated research, and identifies the gaps in the field for further research. The book is for researchers, students, and teachers that share a goal of learning advanced topics and the latest research in mathematical modeling.

Mathematical Modeling in Economics, Ecology and the Environment

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Publisher : Springer Science & Business Media
ISBN 13 : 1441997334
Total Pages : 225 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Mathematical Modeling in Economics, Ecology and the Environment by : N.V. Hritonenko

Download or read book Mathematical Modeling in Economics, Ecology and the Environment written by N.V. Hritonenko and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: The problems of interrelation between human economics and natural environment include scientific, technical, economic, demographic, social, political and other aspects that are studied by scientists of many specialities. One of the important aspects in scientific study of environmental and ecological problems is the development of mathematical and computer tools for rational management of economics and environment. This book introduces a wide range of mathematical models in economics, ecology and environmental sciences to a general mathematical audience with no in-depth experience in this specific area. Areas covered are: controlled economic growth and technological development, world dynamics, environmental impact, resource extraction, air and water pollution propagation, ecological population dynamics and exploitation. A variety of known models are considered, from classical ones (Cobb Douglass production function, Leontief input-output analysis, Solow models of economic dynamics, Verhulst-Pearl and Lotka-Volterra models of population dynamics, and others) to the models of world dynamics and the models of water contamination propagation used after Chemobyl nuclear catastrophe. Special attention is given to modelling of hierarchical regional economic-ecological interaction and technological change in the context of environmental impact. Xlll XIV Construction of Mathematical Models ...

Mathematical Modeling of Fluid/particle Separation Processes

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Publisher :
ISBN 13 :
Total Pages : 404 pages
Book Rating : 4.:/5 (332 download)

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Book Synopsis Mathematical Modeling of Fluid/particle Separation Processes by : Prasad Chodavarapu

Download or read book Mathematical Modeling of Fluid/particle Separation Processes written by Prasad Chodavarapu and published by . This book was released on 1995 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Modeling of Transportation Aviation Processes

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Publisher : Springer Nature
ISBN 13 : 9811976074
Total Pages : 191 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Modeling of Transportation Aviation Processes by : Georgy Alekseevich Kryzhanovsky

Download or read book Modeling of Transportation Aviation Processes written by Georgy Alekseevich Kryzhanovsky and published by Springer Nature. This book was released on 2023-03-14 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the fundamental methods of modeling, analysis and synthesis of transport processes which allow: - to optimize the work of transport organizations according to different criteria of their functioning; - to evaluate the quality of decisions made in conditions of high entropy and uncertainty of technological processes when applying new technologies and systems; -to reduce the negative impact of the human factor on the safety of ongoing transport processes by increasing the motivational component of the training processes for the operator of active transport systems. The structural diagrams presented in this book make it possible to visualize the processes of training, self-training of operators and the mechanisms of the formation of volitional motivational efforts under various external influences of the environment and the teacher–instructor. The obtained functional dependencies serve as an assessment for determining and forming the dynamics of motivation and making a decision about the readiness for safe work of the operator of active transport systems and the decision-maker in the new conditions of the technological process.

Mathematical Modeling in Economics, Ecology and the Environment

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Publisher : Springer Science & Business Media
ISBN 13 : 1461493110
Total Pages : 305 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Mathematical Modeling in Economics, Ecology and the Environment by : Natali Hritonenko

Download or read book Mathematical Modeling in Economics, Ecology and the Environment written by Natali Hritonenko and published by Springer Science & Business Media. This book was released on 2014-01-08 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: Updated to textbook form by popular demand, this second edition discusses diverse mathematical models used in economics, ecology, and the environmental sciences with emphasis on control and optimization. It is intended for graduate and upper-undergraduate course use, however, applied mathematicians, industry practitioners, and a vast number of interdisciplinary academics will find the presentation highly useful. Core topics of this text are: · Economic growth and technological development · Population dynamics and human impact on the environment · Resource extraction and scarcity · Air and water contamination · Rational management of the economy and environment · Climate change and global dynamics The step-by-step approach taken is problem-based and easy to follow. The authors aptly demonstrate that the same models may be used to describe different economic and environmental processes and that similar investigation techniques are applicable to analyze various models. Instructors will appreciate the substantial flexibility that this text allows while designing their own syllabus. Chapters are essentially self-contained and may be covered in full, in part, and in any order. Appropriate one- and two-semester courses include, but are not limited to, Applied Mathematical Modeling, Mathematical Methods in Economics and Environment, Models of Biological Systems, Applied Optimization Models, and Environmental Models. Prerequisites for the courses are Calculus and, preferably, Differential Equations.

Leading-edge Applied Mathematical Modeling Research

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Publisher : Nova Publishers
ISBN 13 : 9781600219771
Total Pages : 404 pages
Book Rating : 4.2/5 (197 download)

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Book Synopsis Leading-edge Applied Mathematical Modeling Research by : Matías P. Álvarez

Download or read book Leading-edge Applied Mathematical Modeling Research written by Matías P. Álvarez and published by Nova Publishers. This book was released on 2008 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers new and significant research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. It includes heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimisation; finite volume, finite element, and boundary element procedures; decision sciences in an industrial and manufacturing context; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering.