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Modelling physics with Microsoft Excel
Údaje o názvu Modelling physics with Microsoft Excel / Bernard V. Liengme. [elektronický zdroj] Variantní názvy Modeling physics with Microsoft Excel Nakladatel San Rafael [California] (40 Oak Drive, San Rafael, CA, 94903, USA) : Morgan & Claypool Publishers, [2014] Distributor Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing Fyz.popis 1 online resource (96 pages) : illustrations. ISBN 9781627054195 (online) Poznámka "Version: 20141001"--Title page verso. "A Morgan & Claypool publication as part of IOP Concise Physics"-Title page verso. Poznámky o skryté bibliografii a rejstřících Includes bibliographical references. Úplný obsah Preface -- Acknowledgments -- Author biography Poznámka o obsahu Projectile trajectory -- Football trajectory -- Adding air resistance. The pursuit problem -- The numerical approach -- Comparison with the analytical solution. Equation solving with and without Solver -- The van der Waals equation : the fixed point iteration method -- van der Waals equation : using Solver -- Finding roots graphically -- Newton-Raphson method -- Using Solver to obtain multiple roots -- The secant method and goal seek -- The inverse quadratic method -- Solving systems of linear equations -- Solving a system of non-linear equations -- Closing note on Solver. Temperature profile -- A formula method -- A matrix method -- A Solver method. Numerical integration -- Trapezoid rule and Simpson's 1/3 rule -- Centroid of a plane using Simpson's 1/3 rule -- Monte Carlo method I -- Monte Carlo method II -- Buffon's needle. Approximate solutions to differential equations -- Ordinary differential equations (ODEs) -- Euler's method -- The Runge-Kutta method -- Testing for convergence -- Systems of ODEs and second-order ODEs. Superposition of sine waves and Fourier series -- Addition of sine waves; generation of beats -- Fourier series -- Parametric plots and Lissajous curves. Fast Fourier transform. Applying statistics to experimental data -- Comparing averages -- Comparing variances -- Are my data normally distributed?. Electrostatics -- Coulomb's law -- Electrostatic potential -- Discrete form of Laplace equation. Random events -- Random walk and Brownian motion -- A random self-avoiding walk. Poznámky k dostupnosti Přístup pouze pro oprávněné uživatele Určeno pro Professional and scholarly. Poznámky "The workbooks for this project were made using Excel 2013 but they should all work with the earlier Excel 2007 or Excel 2010 versions" --Preface.. Způsob přístupu: World Wide Web.. Požadavky na systém: Adobe Acrobat Reader. Dal.odpovědnost Institute of Physics (Great Britain), Předmět.hesla Physics - Data processing. * Mathematics - Data processing. * Electronic spreadsheets. * Mathematical modelling. * SCIENCE / Physics / Mathematical & Computational. Forma, žánr elektronické knihy electronic books Země vyd. Kalifornie Jazyk dok. angličtina Druh dok. Elektronické knihy URL Plný text pro studenty a zaměstnance UPOL 
kniha
This book demonstrates some of the ways in which Microsoft Excel may be used to solve numerical problems in the field of physics. But why use Excel in the first place? Certainly Excel is never going to out-perform the wonderful symbolic algebra tools that we have today - Mathematica, Mathcad, Maple, MATLAB, etc. However, from a pedagogical stance Excel has the advantage of not being a 'black box' approach to problem solving. The user must do a lot more work than just call up a function. The intermediate steps in a calculation are displayed on the worksheet. Another advantage is the somewhat less steep learning curve. This book shows Excel in action in various areas within Physics. Some Visual Basic for Applications (VBA) has been introduced, the purpose here is to show how the power of Excel can be greatly extended and hopefully to whet the appetite of a few readers to get familiar with the power of VBA. Those with programming experience in any other language should be able to follow the code.
Preface -- Acknowledgments -- Author biographyProjectile trajectory -- Football trajectory -- Adding air resistanceThe pursuit problem -- The numerical approach -- Comparison with the analytical solutionEquation solving with and without Solver -- The van der Waals equation : the fixed point iteration method -- van der Waals equation : using Solver -- Finding roots graphically -- Newton-Raphson method -- Using Solver to obtain multiple roots -- The secant method and goal seek -- The inverse quadratic method -- Solving systems of linear equations -- Solving a system of non-linear equations -- Closing note on SolverTemperature profile -- A formula method -- A matrix method -- A Solver methodNumerical integration -- Trapezoid rule and Simpson's 1/3 rule -- Centroid of a plane using Simpson's 1/3 rule -- Monte Carlo method I -- Monte Carlo method II -- Buffon's needleApproximate solutions to differential equations -- Ordinary differential equations (ODEs) -- Euler's method -- The Runge-Kutta method -- Testing for convergence -- Systems of ODEs and second-order ODEsSuperposition of sine waves and Fourier series -- Addition of sine waves; generation of beats -- Fourier series -- Parametric plots and Lissajous curvesFast Fourier transformApplying statistics to experimental data -- Comparing averages -- Comparing variances -- Are my data normally distributed?Electrostatics -- Coulomb's law -- Electrostatic potential -- Discrete form of Laplace equationRandom events -- Random walk and Brownian motion -- A random self-avoiding walk.
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