Last edited by Magami
Saturday, August 1, 2020 | History

3 edition of Modeling in applied sciences found in the catalog.

Modeling in applied sciences

a kinetic theory approach

  • 182 Want to read
  • 13 Currently reading

Published by Birkhäuser in Boston .
Written in English

    Subjects:
  • Mathematical models.

  • Edition Notes

    Includes bibliographical references.

    StatementNicola Bellomo, Mario Pulvirenti, editors.
    SeriesModeling and simulation in science, engineering and technology, Modeling and simulation in science, engineering & technology
    ContributionsBellomo, N., Pulvirenti, M. 1946-
    Classifications
    LC ClassificationsQA401 .M53715 2000, QA401 .M53715 2000
    The Physical Object
    Paginationxiv, 419 p. :
    Number of Pages419
    ID Numbers
    Open LibraryOL18140048M
    ISBN 100817641025, 3764341025
    LC Control Number99057789

    • Modeling depends on your goal – A single system may have many models – Large ‘libraries’ of standard model templates exist – A conceptually new model is a big deal (economics, biology) • Main goals of modeling in control engineering – conceptual analysis – detailed simulation. Today multivariate statistics and mathematical modeling procedures are applied regularly to problems arising in the physical sciences, biological sciences, social sciences, and humanities. This chapter introduces five topics in roughly the order users encounter them in the data analysis process.

    Generalized Kinetic Models in Applied Sciences / N. Bellomo and M. Pulvirenti --Ch. 2. Rapid Granular Flows: Kinetics and Hydrodynamics / I. Goldhirsch -- Ch. 3. Collective Behavior of One-Dimensional Granular Media / D. Benedetto, E. Caglioti and M. Pulvirenti -- Ch. 4. Comprehensive Applied Mathematical Modeling in the Natural and Engineering Sciences Theoretical Predictions Compared with Data. Authors: Wollkind, David J., Dichone, Bonni J. Free Preview.

    The articles cover both fundamental and applied research, and provide the reader with state-of-the-art achievements in the development and application of new theories at the interfaces of applied mathematics, modeling, and computational science. The book can serve as a reference on several important current topics in modern applied mathematics.   Modeling Complex Systems by N. Boccara. This book explains the creative process involved when building a model in great detail. It is not as heavy on mathematical methods as Lin and Segel but still rigorous. It also includes other modeling ideas such as Chaos and Agent - Based models.


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Modeling in applied sciences Download PDF EPUB FB2

Product details Series: Modeling and Simulation in Science, Engineering and Technology Hardcover: pages Publisher: Birkhäuser; edition (Ap ) Language: English ISBN ISBN Product Dimensions: x 1 x Cited by: Modeling complex biological, chemical, and physical systems, in the context of spatially heterogeneous mediums, Modeling in applied sciences book a challenging task for scientists and engineers using traditional methods of analysis.

  Modeling in Applied Sciences is a comprehensive survey of modeling large systems using. Modeling in Applied Sciences is a comprehensive survey of modeling large systems using kinetic equations, and in particular the Boltzmann equation and its generalizations.

An interdisciplinary group of leading authorities carefully develop the foundations of kinetic models and discuss the connections and interactions between model theories, qualitative and computational analysis and real-world applications.

Books focus on modeling and simulation in applied sciences, engineering, and technology. The goal is to create a bridge between applied mathematicians, scientists, and engineers utilizing modeling and simulation methods and tools for complex-problem solving.

"Mathematical Models in Applied Sciences is highly recommended for advance students of mathematics, engineering, and a wide range of applied sciences. Every library of a university that has a program in science and technology should have a copy of this book."Reviews: 3.

The book is designed for undergraduate courses that introduce students to mathematical modeling of medical and life science systems. As stated in the Preface, students should have at least one term of calculus. While we have based graduate courses on topics presented in this book, they involve substantial supplemental materials/5(8).

Modeling and Simulation in Medicine and the Life Sciences (Texts in Applied Mathematics (10)) 2nd Edition by Frank C. Hoppensteadt (Author), Charles S.

Peskin (Author) out of Cited by: About this book Mathematical models have become a crucial way for the Earth scientist to understand and predict how our planet functions and evolves through time and space.

The finite element method (FEM) is a remarkably flexible and powerful tool with enormous potential in the Earth Sciences. The book contains cutting-edge discourses on emerging technology in optics that provides significant challenges and opportunities for applied mathematicians, researchers, and engineers.

Each of the three topics is presented through a series of survey papers to provide a broad overview focusing on the mathematical models. Mathematical Methods in Engineering and Science Preliminary Backgro Theme of the Course Course Contents Sources for More Detailed Study Logistic Strategy Expected Background Sources for More Detailed Study If you have the time, need and interest, then you may consult individual books.

Mathematical Modeling in Science and Engineering is Differential Equations and President of the Mexican Society of Numerical Methods in Engineering and Applied Sciences. Herrera has received the National Science, Mexican Academy of Sciences, and Luis Elizondo Awards, the three most prestigious awards in Mexico granted for scientific.

Cambridge University Press, - Mathematics - pages 0 Reviews This book presents a thorough grounding in the techniques of modeling, and proceeds to explore a range of continuum. Mathematics in Medicine and the Life Sciences grew from lectures given by the authors at New York University, the University of Utah, and Michigan State University.

The material is written for students who have had but one term of calculus, but it contains material that can be used in modeling courses in applied mathematics at all levels. Mathematical Models for Society and Biology, 2e, is a useful resource for researchers, graduate students, and post-docs in the applied mathematics and life science fields.

Mathematical modeling is one of the major subfields of mathematical biology. "Mathematical Models in Applied Sciences is highly recommended for advance students of mathematics, engineering, and a wide range of applied sciences. Every library of a university that has a program in science and technology should have a copy of this book."5/5(1).

This book covers tools and techniques used for developing mathematical methods and modelling related to real-life situations. It brings forward significant aspects of mathematical research by using different mathematical methods such as analytical, computational, and numerical with relevance or applications in engineering and applied sciences.

Modeling in Applied Sciences by Nicola Bellomo,available at Book Depository with free delivery worldwide.

Description Applied Dimensional Analysis and Modeling provides the full mathematical background and step-by-step procedures for employing dimensional analyses, along with a wide range of applications to problems in engineering and applied science, such as fluid dynamics, heat flow, electromagnetics, astronomy and economics.

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There's little discussion of coefficients outside of "After centering and scaling, magnitude could help", and no canned problems.

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