دسترسی نامحدود
برای کاربرانی که ثبت نام کرده اند
برای ارتباط با ما می توانید از طریق شماره موبایل زیر از طریق تماس و پیامک با ما در ارتباط باشید
در صورت عدم پاسخ گویی از طریق پیامک با پشتیبان در ارتباط باشید
برای کاربرانی که ثبت نام کرده اند
درصورت عدم همخوانی توضیحات با کتاب
از ساعت 7 صبح تا 10 شب
ویرایش: 1
نویسندگان: Leonid Burstein
سری:
ISBN (شابک) : 0128191155, 9780128191156
ناشر: Woodhead Pub Ltd
سال نشر: 2020
تعداد صفحات: 276
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 26 مگابایت
در صورت تبدیل فایل کتاب A Matlab Primer for Technical Programming for Materials Science and Engineering به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب پرایمر متلب برای برنامه نویسی فنی برای علم و مهندسی مواد نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
یک پرایمر MATLAB® برای برنامهنویسی فنی برای علم و مهندسی مواد از نمونههایی از این زمینه استفاده میکند و آخرین اطلاعات را در مورد این ابزار برنامهنویسی ارائه میکند که به سمت علم مواد میرود. . این کتاب غیر برنامه نویسان را قادر می سازد تا به MATLAB® تسلط پیدا کنند تا بتوانند مسائل علم مواد را حل کنند، تنها با فرض پیشینه ریاضی متوسط. علاوه بر این، این کتاب برنامهنویسی و مفاهیم فنی را به شیوهای منطقی معرفی میکند تا به دانشآموزان کمک کند تا از MATLAB® برای پروژههای بعدی استفاده کنند. این عنوان به دانشمندان علم مواد که متخصصان غیربرنامه نویسی هستند، مقدمه ای منسجم و متمرکز بر MATLAB® ارائه می دهد.
A MATLAB® Primer for Technical Programming for Materials Science and Engineering draws on examples from the field, providing the latest information on this programming tool that is targeted towards materials science. The book enables non-programmers to master MATLAB® in order to solve problems in materials science, assuming only a modest mathematical background. In addition, the book introduces programming and technical concepts in a logical manner to help students use MATLAB® for subsequent projects. This title offers materials scientists who are non-programming specialists with a coherent and focused introduction to MATLAB®.
Front matter Copyright Dedication Preface Introduction Some history Purpose and audience of the book About the book topics The structure of the chapters About MATLAB versions Order of presentation Basics of MATLAB® Launching MATLAB MATLAB Desktop and its toolstrip and windows Toolstrip Command window Workspace window Current folder window Interactive calculations with elementary math functions Help commands and Help Window About toolboxes About variables and commands to variable management Output formats Output commands Application examples Bravais lattice: Volume of the triclinic crystal unit cell Brinell hardness number Friction coefficient Stress intensity factor Vectors, matrices, and arrays Vectors and matrices: Generation and handling Generation of vectors Generation of matrices and arrays Matrix operations Addition and subtraction Multiplication Division Array operations Commands for generation of some special matrices Displaying table with the disp and fprintf commands Application examples Volume via vectors Generating table of names of statistical measures Diffusion coefficient statistics Mean time between failures Flow control Relational and logical operators Relational operators Logical operators Application example: Screening of the metals in respect to their density The If statements Loops in MATLAB Application examples Isothermal liquid density: Defining coefficients of the linear fit Bulk modulus of a material Molar concentration Questions and exercises for self-testing Answers to selected questions and exercises Graphics and presentations Two- and three-dimensional plots Two-dimensional plots Multiple curves on the 2D plot The plot command for multiple curves The hold command for generating multiple curves Several plots on the same page Formatting 2D plots using commands or the Plot Tools editor Commands for 2D plot formatting The Image 103 commands The axis commands The xlabel, ylabel, and title commands The gtext and text commands The legend command Formatting text strings About interactive plot formatting Three-dimensional plots Presenting line in 3D plots Presenting mesh in 3D plots Surfaces in 3D plots Formatting and rotating 3D plots Setting the figure colors with the colormap command The view command, viewpoint, and different 3D projections of the graph About the 3D plot rotation Specialized two- and threedimensional plots Plot with error bars Plot with semilogarithmic axes Plot with two y-axes Statistical plots The hist command The bar command The Data Statistics tool Supplementary commands for generating 2D and 3D graphs Application examples Surface tension of fluid as a function of temperature Stress-strain graph generated by the experimental data The Lennard-Jones interatomic potential Transient one-dimensional diffusion Temperature of a square plate Velocity distribution of the gas molecules Questions and exercises for self-testing Answer to selected questions and exercises Writing programs for technical computing Scripts and script files How to create, save, and run the script file Saving the script file About the Current folder Running script file Input the variable values from the Command Window User-defined functions and function files Creating the user-defined function Definition line of the function Lines with the help comments Function body, local, and global variables Function file Running a user-defined function Script and user-defined function files, comparison Selected MATLAB functions and its applications in MSE The interp1 function for interpolation and extrapolation Nonlinear algebraic equation solution Finding of the extremal points of a function Integration The quad function The trapz function Derivative calculation Supplementary commands for interpolation, equation solution, integration, and differentiation Live Editor Launching the Live Editor Creating the life script with the Live Editor Supplementary information for using the Live Editor Creating Live Function Opening the existing script as a live script and user-defined function as a live function Text formatting options About the interactive controls Application examples Convertor from Brinell to Vickers and Rockwell hardness Dynamic viscosity: Reyn to pascal-second and vice versa convertor Thermal conductivity data interpolation Density of a solid at given pressure and temperature Maximal radiance of a surface by the Planck\'s law Isochoric thermal pressure coefficient of a substance in the solid state Isothermal compressibility for a gaseous substance Questions and exercises for self-testing Answers to selected questions and exercises Curve fitting commands and the Basic Fitting tool Fitting with polynomials and some other functions Fitting by polynomials Fitting with nonpolynomial functions About the goodness of fit Interactive fitting with the Basic Fitting interface The ``Plot fits´´ panel items ``Select data´´ field ``Center and scale x data´´ box ``Check to display fits on figure´´ area ``Show equation´´ box and ``Significant digits´´ field ``Plot residuals´´ box with two adjacent fields ``Show norm of residuals´´ box The ``Numerical results´´ panel items ``Fit´´ dropdown list ``Coefficients and norm of residuals´´ box ``Save to workspace´´ button The ``Find y=f(x)´´ panel items ``Enter value(s) or a valid MATLAB expression´´ ``Save to workspace´´ button ``Plot evaluated results´´ box An example of using the ``Basic Fitting´´ tool Single- and multivariate fitting via optimization Application examples Fitting of the compressibility factor with the virial series Thermal conductivity fitting with the 3rd and 4th degree polynomials Fitting the stress-strain data by the nonpolynomial equation Fitting of the specific heat of a metal with the Basic Fitting interface Fitting the dynamical viscosity-temperature-pressure data by optimization Questions and exercises for self-testing Answers to selected questions and exercises ODE-, PDEPE-solvers, and PDE Modeler tool with applications Ordinary differential equations and ODE solver About numerical methods for solving ODEs The ode45 and ode15s commands for solving ODEs ODE solution steps Extended command forms of the ODE solver Supplementary commands of the ODE solver Solving partial differential equations with PDE solver About numerical methods for solving PDEs The pdepe command for solving one-dimensional PDEs The steps for solving a PDE with the pdepe command Partial differential equations with the PDE toolbox interface Solution steps in the PDE Modeler Exporting the obtained solution and mesh to the MATLAB workspace Conversion of the solution from the triangular to rectangular grid Drawing in PDE Modeler Application examples Examples with the ODE applications Heat transfer with a temperature-dependent material property Polymeric materials kinetics; step-growth polymerization Examples with one-dimensional PDEs One-dimensional diffusion equation with Neumann boundaries The diffusion Brusselator PDEs Examples with solving the two-dimensional PDEs with the PDE Modeler Two-dimensional heat transfer equation with temperature-dependent property of a material Two-dimensional transient diffusion equation with coordinate-dependent initial conditions Questions and exercises for self-testing Answers to selected questions and exercises Appendix: Characters, operators, and commands for mastering programs Index