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Classical Mechanics A Computational Approach With Examples Using Mathematica And Python Edition 2020 at Meripustak

Classical Mechanics A Computational Approach With Examples Using Mathematica And Python Edition 2020 by KULP C W, TAYLOR & FRANCIS

Books from same Author: KULP C W

Books from same Publisher: TAYLOR & FRANCIS

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  • General Information  
    Author(s)KULP C W
    PublisherTAYLOR & FRANCIS
    ISBN9781138495289
    Pages440
    BindingPaperback
    LanguageEnglish
    Publish YearNovember 2020

    Description

    TAYLOR & FRANCIS Classical Mechanics A Computational Approach With Examples Using Mathematica And Python Edition 2020 by KULP C W

    Classical Mechanics: A Computational Approach with Examples using Python and Mathematica provides a unique contemporary introduction to classical mechanics with a focus on computational methods. In addition to providing clear and thorough coverage of key topics this textbook includes integrated instructions and treatments of computation.Full of pedagogy it contains both analytical and computational example problems within the body of each chapter. The example problems teach readers both analytical methods and how to use computer algebra systems and computer programming to solve problems in classical mechanics. End-of-chapter problems allow students to hone their skills in problem solving with and without the use of a computer. The methods presented in this book can then be used by students when solving problems in other fields both within and outside of physics.It is an ideal textbook for undergraduate students in physics mathematics and engineering studying classical mechanics.Features:Gives readers the "big picture" of classical mechanics and the importance of computation in the solution of problems in physicsNumerous example problems using both analytical and computational methods as well as explanations as to how and why specific techniques were usedOnline resources containing specific example codes to help students learn computational methods and write their own algorithmsA solutions manual is available via the Routledge Instructor Hub and extra code is available via the Support Material tab



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