MATLAB Primer

Highlighting the new aspects of MATLAB® 7.10 and expanding on many existing features, MATLAB® Primer, Eighth Edition shows you how to solve problems in science, engineering, and mathematics. Now in its eighth edition, this popular primer continues to offer a hands-on, step-by-step introduction to using the powerful tools of MATLAB. New to the Eighth Edition A new chapter on object-oriented programming Discussion of the MATLAB File Exchange window, which provides direct access to over 10,000 submissions by MATLAB users Major changes to the MATLAB Editor, such as code folding and the integration of the Code Analyzer (M-Lint) into the Editor Explanation of more powerful Help tools, such as quick help popups for functions via the Function Browser The new bsxfun function A synopsis of each of the MATLAB Top 500 most frequently used functions, operators, and special characters The addition of several useful features, including sets, logical indexing, isequal, repmat, reshape, varargin, and varargout The book takes you through a series of simple examples that become progressively more complex. Starting with the core components of the MATLAB desktop, it demonstrates how to handle basic matrix operations and expressions in MATLAB. The text then introduces commonly used functions and explains how to write your own functions, before covering advanced features, such as object-oriented programming, calling other languages from MATLAB, and MATLAB graphics. It also presents an in-depth look at the Symbolic Toolbox, which solves problems analytically rather than numerically.

Getting Started The MATLAB DesktopCommand window Command history window Current folder window Workspace window Help window File exchange window Variable editor window Matrices and Matrix OperationsReferencing individual entries Matrix operators Matrix division (slash and backslash) Entry-wise operators Relational operators Complex numbers Strings Submatrices and Colon NotationGenerating vectors Accessing submatrices MATLAB FunctionsConstructing matrices Scalar functions Vector functions and data analysis Matrix functions The linsolve function The find function1-D indexing and the reshape function Logical indexing The bsxfun and repmat functions M-FilesM-file editor window Script files Function files Multiple inputs and outputs Variable arguments Unused arguments Comments and documentation The MATLAB path Control Flow StatementsThe for loop The while loop The if statement The switch statement The try/catch statement Matrix expressions (if and while) Infinite loops Advanced Data Structures Cell arrays Structs Sets Other data types Object-Oriented ProgrammingObject methods Object inheritance and abstract classes Object attributes A more extensive example Object handle classes Advanced M-File FeaturesFunction handles and anonymous functions Name resolution Error and warning messages User input Performance measures Efficient code Code Development ToolsCode analyzer (M-lint) report Advanced editor features TODO/FIXME report Help report Contents report Dependency report Profiler tool and coverage report File and folder comparison tool Calling C from MATLABA simple example C versus MATLAB arrays A matrix computation in C MATLAB mx and mex routines Online help for MEX routines Larger examples on the web Calling Fortran from MATLABSolving a transposed system A Fortran mexFunction with %val If you cannot use %val Calling Java from MATLABA simple example Encryption/decryption Java class path Calling your own Java methods Loading a URL as a matrix Two-Dimensional GraphicsPlanar plots Multiple figures Graph of a function Parametrically defined curves Titles, labels, text in a graph Control of axes and scaling Multiple plots Line types, marker types, colors Subplots and specialized plots Graphics hard copy Three-Dimensional GraphicsCurve plots Mesh and surface plots Parametrically defined surfaces Volume and vector visualization Color shading and color profile Perspective of view Advanced GraphicsHandle graphics Graphical user interface Images Sparse Matrix ComputationsStorage modes Generating sparse matrices Computation with sparse matrices Permutation vectors and matrices Visualizing matrices The Symbolic Math ToolboxSymbolic variables Calculus Variable precision arithmetic Numeric and symbolic substitutionAlgebraic simplification Two-dimensional graphs Three-dimensional surface graphs Three-dimensional curves Symbolic matrix operations Symbolic linear algebraic functions Solving algebraic equations Solving differential equations Further MuPAD access Polynomials, Interpolation, and IntegrationRepresenting polynomials Evaluating polynomials Polynomial interpolation Numeric integration (quadrature) Solving EquationsSymbolic equations Linear systems of equations Polynomial roots Nonlinear equations Ordinary differential equations Other differential equations Displaying Results Cell Publishing Appendix A: The MATLAB Top 500 Appendix B: Desktop Tools and Development EnvironmentAppendix C: Data Import and ExportAppendix D: MathematicsAppendix E: Data AnalysisAppendix F: Programming and Data TypesAppendix G: Object-Oriented ProgrammingAppendix H: GraphicsAppendix I: 3-D VisualizationAppendix J: GUI DevelopmentAppendix K: External InterfacesAppendix L: Symbolic Math Toolbox Index

Timothy A. Davis is a professor in the Department of Computer & Information Science & Engineering at the University of Florida. A member of ACM, SIAM, IEEE, IEEE Computer Society, SIAM-SC, SIAM-OPT, and SIAM-CSE, Dr. Davis is an associate editor of both ACM Transactions on Mathematical Software and Computational Optimization and Applications.