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Books in Modelling

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11-15 of 15 results in All results

System Requirements Analysis

  • 2nd Edition
  • September 19, 2013
  • Jeffrey O. Grady
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 4 1 7 1 0 7 - 7
  • eBook
    9 7 8 - 0 - 1 2 - 4 1 7 1 3 0 - 5
System Requirements Analysis gives the professional systems engineer the tools to set up a proper and effective analysis of the resources, schedules and parts needed to successfully undertake and complete any large, complex project. This fully revised text offers readers the methods for rationally breaking down a large project into a series of stepwise questions, enabling you to determine a schedule, establish what needs to be procured, how it should be obtained, and what the likely costs in dollars, manpower, and equipment will be to complete the project at hand. System Requirements Analysis is compatible with the full range of popular engineering management tools, from project management to competitive engineering to Six Sigma, and will ensure that a project gets off to a good start before it's too late to make critical planning changes. The book can be used for either self-instruction or in the classroom, offering a wealth of detail about the advantages of requirements analysis to the individual reader or the student group.

Mathematical Models for Society and Biology

  • 2nd Edition
  • June 19, 2013
  • Edward Beltrami
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 4 0 4 6 2 4 - 5
  • eBook
    9 7 8 - 0 - 1 2 - 4 0 4 6 9 3 - 1
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. A mathematical model may be used to help explain a system, to study the effects of different components, and to make predictions about behavior. Mathematical Models for Society and Biology, 2e, draws on current issues to engagingly relate how to use mathematics to gain insight into problems in biology and contemporary society. For this new edition, author Edward Beltrami uses mathematical models that are simple, transparent, and verifiable. Also new to this edition is an introduction to mathematical notions that every quantitative scientist in the biological and social sciences should know. Additionally, each chapter now includes a detailed discussion on how to formulate a reasonable model to gain insight into the specific question that has been introduced.

Engineering Turbulence Modelling and Experiments 6

  • 1st Edition
  • May 5, 2005
  • Wolfgang Rodi
  • English
  • Hardback
    9 7 8 - 0 - 0 8 - 0 4 4 5 4 4 - 1
  • eBook
    9 7 8 - 0 - 0 8 - 0 5 3 0 9 5 - 6
Proceedings of the world renowned ERCOFTAC (International Symposium on Engineering Turbulence Modelling and Measurements).The proceedings include papers dealing with the following areas of turbulence:· Eddy-viscosity and second-order RANS models · Direct and large-eddy simulations and deductions for conventional modelling · Measurement and visualization techniques, experimental studies · Turbulence control · Transition and effects of curvature, rotation and buoyancy on turbulence · Aero-acoustics · Heat and mass transfer and chemically reacting flows · Compressible flows, shock phenomena · Two-phase flows · Applications in aerospace engineering, turbomachinery and reciprocating engines, industrial aerodynamics and wind engineering, and selected chemical engineering problems Turbulence remains one of the key issues in tackling engineering flow problems. These problems are solved more and more by CFD analysis, the reliability of which depends strongly on the performance of the turbulence models employed. Successful simulation of turbulence requires the understanding of the complex physical phenomena involved and suitable models for describing the turbulent momentum, heat and mass transfer. For the understanding of turbulence phenomena, experiments are indispensable, but they are equally important for providing data for the development and testing of turbulence models and hence for CFD software validation. As in other fields of Science, in the rapidly developing discipline of turbulence, swift progress can be achieved only by keeping up to date with recent advances all over the world and by exchanging ideas with colleagues active in related fields.

Engineering Turbulence Modelling and Experiments - 4

  • 1st Edition
  • April 14, 1999
  • D. Laurence + 1 more
  • English
  • Hardback
    9 7 8 - 0 - 0 8 - 0 4 3 3 2 8 - 8
  • eBook
    9 7 8 - 0 - 0 8 - 0 5 3 0 9 8 - 7
These proceedings contain the papers presented at the 4th International Symposium on Engineering Turbulence Modelling and Measurements held at Ajaccio, Corsica, France from 24-26 May 1999. It follows three previous conferences on the topic of engineering turbulence modelling and measurements. The purpose of this series of symposia is to provide a forum for presenting and discussing new developments in the area of turbulence modelling and measurements, with particular emphasis on engineering-related problems.Turbulence is still one of the key issues in tackling engineering flow problems. As powerful computers and accurate numerical methods are now available for solving the flow equations, and since engineering applications nearly always involve turbulence effects, the reliability of CFD analysis depends more and more on the performance of the turbulence models. Successful simulation of turbulence requires the understanding of the complex physical phenomena involved and suitable models for describing the turbulent momentum, heat and mass transfer. For the understanding of turbulence phenomena, experiments are indispensable, but they are equally important for providing data for the development and testing of turbulence models and hence for CFD software validation.

Mathematical Modelling

  • 1st Edition
  • June 17, 1995
  • John Berry + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 3 4 0 - 6 1 4 0 4 - 4
  • eBook
    9 7 8 - 0 - 0 8 - 0 5 7 1 9 2 - 8
Mathematical modelling modules feature in most university undergraduate mathematics courses. As one of the fastest growing areas of the curriculum it represents the current trend in teaching the more complex areas of mathematics. This book introduces mathematical modelling to the new style of undergraduate - those with less prior knowledge, who require more emphasis on application of techniques in the following sections: What is mathematical modelling?; Seeing modelling at work through population growth; Seeing modelling at work through published papers; Modelling in mechanics.Written in the lively interactive style of the Modular Mathematics Series, this text will encourage the reader to take part in the modelling process.