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Mathematical modeling
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ISBN: 0124876528 9780124876521 Year: 1999 Publisher: San Diego (Calif.) : Academic press,

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Book
Mathematical modeling
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Year: 2013 Publisher: Waltham, MA : Academic Press/Elsevier,

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"Meerschaert's new edition strengthens his position as the survey text of choice for mathematical modeling courses, adding ample instructor support and leveraging on-line delivery for solutions manuals and software ancillaries. From genetic engineering to hurricane prediction, mathematical models guide much of the decision-making in our society, and if the assumptions and methods underlying the modeling are flawed, the outcome can be disastrously poor, as recent events have proved. Since mathematical modeling is a rapidly growing specialty with applications in so many scientific and technical disciplines, there is a need for mathematically rigorous treatments of the subject, and particularly for texts that expose students to a range of possible approaches."--Publisher's website.


Periodical
The Journal of Grey System
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ISSN: 23969040 Year: 1989 Publisher: ENGLAND : Sci-Tech Information Services,

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2016 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH)
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ISBN: 9897582371 150905894X Year: 2016 Publisher: Piscataway, NJ : IEEE,

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The purpose of the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH) is to bring together researchers, engineers, applied mathematicians and practitioners interested in the advances and applications in the field of system simulation Four simultaneous tracks will be held, covering on one side domain independent methodologies and technologies and on the other side practical work developed in specific application areas The specific topics listed under each of these tracks highlight the interest of this conference in aspects related to computing, including Conceptual Modeling, Agent Based Modeling and Simulation, Interoperability, Ontologies, Knowledge Based Decision Support, Petri Nets, Business Process Modeling and Simulation, amongst others.

Principles of mathematical modeling.
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ISBN: 0122265513 0128047445 9786610961320 1280961325 0080470289 9780122265518 9780080470283 9781280961328 6610961328 Year: 2004 Publisher: Amsterdam Boston Elsevier Academic Press

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Book
1584.1-2022 - IEEE Guide for the Specification of Scope and Deliverable Requirements for an Arc-Flash Hazard Calculation Study in Accordance with IEEE Std 1584
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ISBN: 1504491920 Year: 2022 Publisher: New York : IEEE,

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Guidance for the specification and performance of an arc-flash hazard calculation study, in accordance with the process defined in IEEE Std 1584, is provided in this document. It outlines the minimum recommended requirements to enable the owner or its representative to specify an arc-flash hazard study, including scope of work and associated deliverables. Keywords: arc fault currents, arc-flash boundary, arc-flash hazard, arc-flash hazard analysis, arc-flash hazard marking, arc in enclosures, arc in open air, bolted fault currents, electrical hazard, IEEE 1584.1, incident energy, protective device coordination study, short-circuit study, working distances.


Book
Mathematical Modelling and Machine Learning Methods for Bioinformatics and Data Science Applications
Authors: ---
Year: 2022 Publisher: [Place of publication not identified] : MDPI - Multidisciplinary Digital Publishing Institute,

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Mathematical modeling is routinely used in physical and engineering sciences to help understand complex systems and optimize industrial processes. Mathematical modeling differs from Artificial Intelligence because it does not exclusively use the collected data to describe an industrial phenomenon or process, but it is based on fundamental laws of physics or engineering that lead to systems of equations able to represent all the variables that characterize the process. Conversely, Machine Learning methods require a large amount of data to find solutions, remaining detached from the problem that generated them and trying to infer the behavior of the object, material or process to be examined from observed samples. Mathematics allows us to formulate complex models with effectiveness and creativity, describing nature and physics. Together with the potential of Artificial Intelligence and data collection techniques, a new way of dealing with practical problems is possible. The insertion of the equations deriving from the physical world in the data-driven models can in fact greatly enrich the information content of the sampled data, allowing to simulate very complex phenomena, with drastically reduced calculation times. Combined approaches will constitute a breakthrough in cutting-edge applications, providing precise and reliable tools for the prediction of phenomena in biological macro/microsystems, for biotechnological applications and for medical diagnostics, particularly in the field of precision medicine.


Book
Mathematical modeling using fuzzy logic : applications to sustainability
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ISBN: 0429423349 0429751729 0429751710 Year: 2021 Publisher: Boca Raton, Florida ; London ; New York : CRC Press,

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Mathematical Methods in Applied Sciences
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Year: 2020 Publisher: [Place of publication not identified] : MDPI AG,

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This book includes the seven papers that contributed to the Special Issue of Mathematics entitled "Mathematical Methods in Applied Sciences". The papers are authored by eminent specialists and aim at presenting to a broad audience some mathematical models which appear in different aspects of modern life. New results in Computational Mathematics are given as well. Emphasis is on Medicine and Public Health, in relation also with Social Sciences. The models in this collection apply in particular to the study of brain cells during a stroke, training management efficiency for elite athletes, and optimal surgical operation scheduling. Other models concern Industry and Economy, as well as Biology and Chemistry. Numerical Methods are represented in particular by scattered data interpolation, spectral collocation, and the use of eigenvalues and eigenvectors of the Laplacian matrix. This book will appeal to scientists, teachers, and graduate students in Mathematics, in particular Numerical Analysis, and will be of interest for scholars in Applied Sciences, particularly in Medicine and Public Health.


Book
Topics in Mathematical Modeling
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ISBN: 1400884055 Year: 2016 Publisher: Princeton, NJ : Princeton University Press,

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Topics in Mathematical Modeling is an introductory textbook on mathematical modeling. The book teaches how simple mathematics can help formulate and solve real problems of current research interest in a wide range of fields, including biology, ecology, computer science, geophysics, engineering, and the social sciences. Yet the prerequisites are minimal: calculus and elementary differential equations. Among the many topics addressed are HIV; plant phyllotaxis; global warming; the World Wide Web; plant and animal vascular networks; social networks; chaos and fractals; marriage and divorce; and El Niño. Traditional modeling topics such as predator-prey interaction, harvesting, and wars of attrition are also included. Most chapters begin with the history of a problem, follow with a demonstration of how it can be modeled using various mathematical tools, and close with a discussion of its remaining unsolved aspects. Designed for a one-semester course, the book progresses from problems that can be solved with relatively simple mathematics to ones that require more sophisticated methods. The math techniques are taught as needed to solve the problem being addressed, and each chapter is designed to be largely independent to give teachers flexibility. The book, which can be used as an overview and introduction to applied mathematics, is particularly suitable for sophomore, junior, and senior students in math, science, and engineering.

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