MATLAB Differential Equations - Cesar Lopez

MATLAB Differential Equations (eBook)

(Autor)

eBook Download: PDF
2014 | 1st ed.
IX, 188 Seiten
Apress (Verlag)
978-1-4842-0310-1 (ISBN)
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56,99 inkl. MwSt
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MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java.

MATLAB Differential Equations introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. In addition to giving an introduction to the MATLAB environment and MATLAB programming, this book provides all the material needed to work on differential equations using MATLAB. It includes techniques for solving ordinary and partial differential equations of various kinds, and systems of such equations, either symbolically or using numerical methods (Euler’s method, Heun’s method, the Taylor series method, the Runge–Kutta method,…). It also describes how to implement mathematical tools such as the Laplace transform, orthogonal polynomials, and special functions (Airy and Bessel functions), and find solutions of finite difference equations.



    César Perez Lopez is a Professor at the Department of Statistics and Operations Research at the University of Madrid. César Perez Lopez is also a Mathematician and Economist at the National Statistics Institute (INE) in Madrid, a body which belongs to the Superior Systems and Information Technology Department of the Spanish Government. César also currently works at the Institute for Fiscal Studies in Madrid.
    MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java.MATLAB Differential Equations introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. In addition to giving an introduction to the MATLAB environment and MATLAB programming, this book provides all the material needed to work on differential equations using MATLAB. It includes techniques for solving ordinary and partial differential equations of various kinds, and systems of such equations, either symbolically or using numerical methods (Euler’s method, Heun’s method, the Taylor series method, the Runge–Kutta method,…). It also describes how to implement mathematical tools such as the Laplace transform, orthogonal polynomials, and special functions (Airy and Bessel functions), and find solutions of finite difference equations.

    César Perez Lopez is a Professor at the Department of Statistics and Operations Research at the University of Madrid. César Perez Lopez is also a Mathematician and Economist at the National Statistics Institute (INE) in Madrid, a body which belongs to the Superior Systems and Information Technology Department of the Spanish Government. César also currently works at the Institute for Fiscal Studies in Madrid.

    Contents at a Glance 3
    Contents 173
    About the Author 177
    Chapter 1: Introducing MATLAB and the MATLAB Working Environment 4
    Introduction 4
    Developing Algorithms and Applications 5
    Data Access and Analysis 8
    Data Visualization 9
    Numerical Calculation 12
    Publication of Results and Distribution of Applications 13
    The MATLAB working environment 14
    Help in MATLAB 18
    Numerical Computation with MATLAB 21
    Symbolic Calculations with MATLAB 22
    Graphics with MATLAB 24
    General Notation 28
    Help with Commands 29
    MATLAB and Programming 31
    Commands to Escape and Exit to the MS-DOS Environment 32
    Chapter 2: First Order Differential Equations. Exact Equations, Separation of Variables, Homogeneous and Linear Equations 35
    First Order Differential Equations 35
    Separation of Variables 38
    Homogeneous Differential Equations 40
    Exact Differential Equations 43
    Linear Differential Equations 45
    Chapter 3: Higher Order Differential Equations. The Laplace Transform and Special Types of Equations 47
    Ordinary High-Order Equations 47
    Linear Higher-Order Equations. Homogeneous Equations with Constant Coefficients 49
    Non-Homogeneous Equations with Constant Coefficients. Variation of Parameters 50
    Non-Homogeneous Equations with Variable Coefficients. Cauchy–Euler Equations 54
    The Laplace Transform 54
    Orthogonal Polynomials 57
    Chebychev Polynomials of the First and Second Kind 57
    Legendre Polynomials 58
    Associated Legendre Polynomials 58
    Hermite Polynomials 58
    Generalized Laguerre Polynomials 58
    Laguerre Polynomials 59
    Jacobi Polynomials 59
    Gegenbauer Polynomials 59
    Bessel and Airy Functions 60
    Chapter 4: Differential Equations Via Approximation Methods 62
    Higher Order Equations and Approximation Methods 62
    The Taylor Series Method 62
    The Runge–Kutta Method 65
    Chapter 5: Systems of Differential Equations and Finite Difference Equations 67
    Systems of Linear Homogeneous Equations with Constant Coefficients 67
    Systems of Linear Non-Homogeneous Equations with Constant Coefficients 68
    Finite Difference Equations 69
    Partial Differential Equations 71
    Chapter 6: Numerical Calclus with MATLAB. Applications to Differential Equations 73
    MATLAB and Programming 73
    Text Editor 73
    Scripts 76
    Functions and M-Files. Function, Eval and Feval 78
    Local and Global Variables 82
    Data Types 84
    Flow Control: FOR Loops, WHILE and IF ELSEIF 85
    The FOR Loop 85
    The WHILE Loop 86
    IF ELSEIF ELSE END Loops 87
    Switch and Case 88
    Continue 89
    Break 90
    Try ... Catch 91
    Return 91
    Subfunctions 92
    Ordinary Differential Equations Using Numerical Analysis 93
    Euler’s Method 94
    Heun’s Method 94
    The Taylor Series Method 95
    Chapter 7: Ordinary and Partial Differential Equations with Initial and Boundary Values 101
    Numerical Solutions of Differential Equations 101
    Ordinary Differential Equations with Initial Values 101
    Ordinary Differential Equations with Boundary Values 105
    Partial Differential Equations 108
    Exercise 7-1 115
    Exercise 7-2 117
    Exercise 7-3 119
    Chapter 8: Symbolic Differential and Integral Calculus 124
    Symbolic Computation with MATLAB. Symbolic Variables 124
    Symbolic Functions. Substitution and Functional Operations 130
    Mathematical Analysis Functions. Limits, Continuity, and Series 134
    Derivatives, Integrals and Differential Equations 138
    Linear Algebra: Simplifying and Solving Equations 143

    Erscheint lt. Verlag 22.9.2014
    Zusatzinfo IX, 188 p. 107 illus.
    Verlagsort Berkeley
    Sprache englisch
    Themenwelt Mathematik / Informatik Informatik Programmiersprachen / -werkzeuge
    Informatik Theorie / Studium Compilerbau
    Mathematik / Informatik Mathematik Computerprogramme / Computeralgebra
    Technik
    ISBN-10 1-4842-0310-0 / 1484203100
    ISBN-13 978-1-4842-0310-1 / 9781484203101
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