Computer Modeling in Engineering & Sciences

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Publisher :
ISBN 13 :
Total Pages : 324 pages
Book Rating : 4.38/5 ( download)

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Book Synopsis Computer Modeling in Engineering & Sciences by :

Download or read book Computer Modeling in Engineering & Sciences written by and published by . This book was released on 2009 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computer Simulations in Science and Engineering

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Publisher : Springer
ISBN 13 : 3319908820
Total Pages : 209 pages
Book Rating : 4.23/5 ( download)

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Book Synopsis Computer Simulations in Science and Engineering by : Juan Manuel Durán

Download or read book Computer Simulations in Science and Engineering written by Juan Manuel Durán and published by Springer. This book was released on 2018-09-20 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses key conceptual issues relating to the modern scientific and engineering use of computer simulations. It analyses a broad set of questions, from the nature of computer simulations to their epistemological power, including the many scientific, social and ethics implications of using computer simulations. The book is written in an easily accessible narrative, one that weaves together philosophical questions and scientific technicalities. It will thus appeal equally to all academic scientists, engineers, and researchers in industry interested in questions (and conceivable answers) related to the general practice of computer simulations.

Methods of Computer Modeling in Engineering & the Sciences: A unified treatment of finite volume, finite element, field-boundary element, meshless, & boundary methods

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Publisher : Crest
ISBN 13 :
Total Pages : 584 pages
Book Rating : 4.90/5 ( download)

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Book Synopsis Methods of Computer Modeling in Engineering & the Sciences: A unified treatment of finite volume, finite element, field-boundary element, meshless, & boundary methods by : Satya N. Atluri

Download or read book Methods of Computer Modeling in Engineering & the Sciences: A unified treatment of finite volume, finite element, field-boundary element, meshless, & boundary methods written by Satya N. Atluri and published by Crest. This book was released on 2005 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt:

What Every Engineer Should Know about Computer Modeling and Simulation

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Publisher : CRC Press
ISBN 13 : 9780824774448
Total Pages : 180 pages
Book Rating : 4.42/5 ( download)

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Book Synopsis What Every Engineer Should Know about Computer Modeling and Simulation by : Ingels

Download or read book What Every Engineer Should Know about Computer Modeling and Simulation written by Ingels and published by CRC Press. This book was released on 1985-10-02 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a brief description of what constitutes computer modeling and simulation with techniques given to get a feel for how some of the simulation software packages involving hundreds of thousands of lines of code were developed.

Computer Modeling in Bioengineering

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Publisher : John Wiley & Sons
ISBN 13 : 0470751754
Total Pages : 484 pages
Book Rating : 4.56/5 ( download)

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Book Synopsis Computer Modeling in Bioengineering by : Miloš Kojić

Download or read book Computer Modeling in Bioengineering written by Miloš Kojić and published by John Wiley & Sons. This book was released on 2008-09-15 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bioengineering is a broad-based engineering discipline that applies engineering principles and design to challenges in human health and medicine, dealing with bio-molecular and molecular processes, product design, sustainability and analysis of biological systems. Applications that benefit from bioengineering include medical devices, diagnostic equipment and biocompatible materials, amongst others. Computer Modeling in Bioengineering offers a comprehensive reference for a large number of bioengineering topics, presenting important computer modeling problems and solutions for research and medical practice. Starting with basic theory and fundamentals, the book progresses to more advanced methods and applications, allowing the reader to become familiar with different topics to the desired extent. It includes unique and original topics alongside classical computational modeling methods, and each application is structured to explain the physiological background, phenomena that are to be modeled, the computational methods used in the model, and solutions of typical cases. The accompanying software contains over 80 examples, enabling the reader to study a topic using the theory and examples, then run the software to solve the same, or similar examples, varying the model parameters within a given range in order to investigate the problem at greater depth. Tutorials also guide the user in further exploring the modeled problem; these features promote easier learning and will help lecturers with presentations. Computer Modeling in Bioengineering includes computational methods for modelling bones, tissues, muscles, cardiovascular components, cartilage, cells and cancer nanotechnology as well as many other applications. It bridges the gap between engineering, biology and medicine, and will appeal not only to bioengineering students, lecturers and researchers, but also medical students and clinical researchers.

Science in the Age of Computer Simulation

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Publisher : University of Chicago Press
ISBN 13 : 0226902056
Total Pages : 168 pages
Book Rating : 4.50/5 ( download)

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Book Synopsis Science in the Age of Computer Simulation by : Eric Winsberg

Download or read book Science in the Age of Computer Simulation written by Eric Winsberg and published by University of Chicago Press. This book was released on 2010-10-15 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer simulation was first pioneered as a scientific tool in meteorology and nuclear physics in the period following World War II, but it has grown rapidly to become indispensible in a wide variety of scientific disciplines, including astrophysics, high-energy physics, climate science, engineering, ecology, and economics. Digital computer simulation helps study phenomena of great complexity, but how much do we know about the limits and possibilities of this new scientific practice? How do simulations compare to traditional experiments? And are they reliable? Eric Winsberg seeks to answer these questions in Science in the Age of Computer Simulation. Scrutinizing these issue with a philosophical lens, Winsberg explores the impact of simulation on such issues as the nature of scientific evidence; the role of values in science; the nature and role of fictions in science; and the relationship between simulation and experiment, theories and data, and theories at different levels of description. Science in the Age of Computer Simulation will transform many of the core issues in philosophy of science, as well as our basic understanding of the role of the digital computer in the sciences.

Mathematical and computer modelling in engineering sciences

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Publisher :
ISBN 13 :
Total Pages : 116 pages
Book Rating : 4.78/5 ( download)

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Book Synopsis Mathematical and computer modelling in engineering sciences by : S. K. Dey

Download or read book Mathematical and computer modelling in engineering sciences written by S. K. Dey and published by . This book was released on 2000 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction to Computational Science

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Publisher : Princeton University Press
ISBN 13 : 140085055X
Total Pages : 857 pages
Book Rating : 4.56/5 ( download)

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Book Synopsis Introduction to Computational Science by : Angela B. Shiflet

Download or read book Introduction to Computational Science written by Angela B. Shiflet and published by Princeton University Press. This book was released on 2014-03-30 with total page 857 pages. Available in PDF, EPUB and Kindle. Book excerpt: The essential introduction to computational science—now fully updated and expanded Computational science is an exciting new field at the intersection of the sciences, computer science, and mathematics because much scientific investigation now involves computing as well as theory and experiment. This textbook provides students with a versatile and accessible introduction to the subject. It assumes only a background in high school algebra, enables instructors to follow tailored pathways through the material, and is the only textbook of its kind designed specifically for an introductory course in the computational science and engineering curriculum. While the text itself is generic, an accompanying website offers tutorials and files in a variety of software packages. This fully updated and expanded edition features two new chapters on agent-based simulations and modeling with matrices, ten new project modules, and an additional module on diffusion. Besides increased treatment of high-performance computing and its applications, the book also includes additional quick review questions with answers, exercises, and individual and team projects. The only introductory textbook of its kind—now fully updated and expanded Features two new chapters on agent-based simulations and modeling with matrices Increased coverage of high-performance computing and its applications Includes additional modules, review questions, exercises, and projects An online instructor's manual with exercise answers, selected project solutions, and a test bank and solutions (available only to professors) An online illustration package is available to professors

Computer Modeling in Engineering & Sciences

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Publisher :
ISBN 13 :
Total Pages : 352 pages
Book Rating : 4.85/5 ( download)

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Book Synopsis Computer Modeling in Engineering & Sciences by :

Download or read book Computer Modeling in Engineering & Sciences written by and published by . This book was released on 2009 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Mathematical Modeling in Science and Engineering

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Publisher : John Wiley & Sons
ISBN 13 : 1118207203
Total Pages : 259 pages
Book Rating : 4.08/5 ( download)

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Book Synopsis Mathematical Modeling in Science and Engineering by : Ismael Herrera

Download or read book Mathematical Modeling in Science and Engineering written by Ismael Herrera and published by John Wiley & Sons. This book was released on 2012-03-19 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: A powerful, unified approach to mathematical and computational modeling in science and engineering Mathematical and computational modeling makes it possible to predict the behavior of a broad range of systems across a broad range of disciplines. This text guides students and professionals through the axiomatic approach, a powerful method that will enable them to easily master the principle types of mathematical and computational models used in engineering and science. Readers will discover that this axiomatic approach not only enables them to systematically construct effective models, it also enables them to apply these models to any macroscopic physical system. Mathematical Modeling in Science and Engineering focuses on models in which the processes to be modeled are expressed as systems of partial differential equations. It begins with an introductory discussion of the axiomatic formulation of basic models, setting the foundation for further topics such as: Mechanics of classical and non-classical continuous systems Solute transport by a free fluid Flow of a fluid in a porous medium Multiphase systems Enhanced oil recovery Fluid mechanics Throughout the text, diagrams are provided to help readers visualize and better understand complex mathematical concepts. A set of exercises at the end of each chapter enables readers to put their new modeling skills into practice. There is also a bibliography in each chapter to facilitate further investigation of individual topics. Mathematical Modeling in Science and Engineering is ideal for both students and professionals across the many disciplines of science and engineering that depend on mathematical and computational modeling to predict and understand complex systems.