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MATLAB differential equations /

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Pérez López, César (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berkeley, CA : Apress, 2014.
Colección:MATLAB solutions series.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Machine generated contents note: ch. 1 Introducing MATLAB and the MATLAB Working Environment
  • Introduction
  • Developing Algorithms and Applications
  • Data Access and Analysis
  • Data Visualization
  • Numerical Calculation
  • Publication of Results and Distribution of Applications
  • MATLAB working environment
  • Help in MATLAB
  • Numerical Computation with MATLAB
  • Symbolic Calculations with MATLAB
  • Graphics with MATLAB
  • General Notation
  • Help with Commands
  • MATLAB and Programming
  • Commands to Escape and Exit to the MS-DOS Environment
  • ch. 2 First Order Differential Equations. Exact Equations, Separation of Variables, Homogeneous and Linear Equations
  • First Order Differential Equations
  • Separation of Variables
  • Homogeneous Differential Equations
  • Exact Differential Equations
  • Linear Differential Equations
  • ch. 3 Higher Order Differential Equations. The Laplace Transform and Special Types of Equations
  • Ordinary High-Order Equations
  • Linear Higher-Order Equations. Homogeneous Equations with Constant Coefficients
  • Non-Homogeneous Equations with Constant Coefficients. Variation of Parameters
  • Non-Homogeneous Equations with Variable Coefficients. Cauchy
  • Euler Equations
  • Laplace Transform
  • Orthogonal Polynomials
  • Chebychev Polynomials of the First and Second Kind
  • Legendre Polynomials
  • Associated Legendre Polynomials
  • Hermite Polynomials
  • Generalized Laguerre Polynomials
  • Laguerre Polynomials
  • Jacobi Polynomials
  • Gegenbauer Polynomials
  • Bessel and Airy Functions
  • ch. 4 Differential Equations Via Approximation Methods
  • Higher Order Equations and Approximation Methods
  • Taylor Series Method
  • Runge
  • Kutta Method
  • ch. 5 Systems of Differential Equations and Finite Difference Equations
  • Systems of Linear Homogeneous Equations with Constant Coefficients
  • Systems of Linear Non-Homogeneous Equations with Constant Coefficients
  • Finite Difference Equations
  • Partial Differential Equations
  • ch. 6 Numerical Calclus with MATLAB. Applications to Differential Equations
  • MATLAB and Programming
  • Text Editor
  • Scripts
  • Functions and M-Files. Function, Eval and Feval
  • Local and Global Variables
  • Data Types
  • Flow Control: FOR Loops, WHILE and IF ELSEIF
  • FOR Loop
  • WHILE Loop
  • IF ELSEIF ELSE END Loops
  • Switch and Case
  • Continue
  • Break
  • Try ... Catch
  • Return
  • Subfunctions
  • Ordinary Differential Equations Using Numerical Analysis
  • Euler's Method
  • Heun's Method
  • Taylor Series Method
  • ch. 7 Ordinary and Partial Differential Equations with Initial and Boundary Values
  • Numerical Solutions of Differential Equations
  • Ordinary Differential Equations with Initial Values
  • Ordinary Differential Equations with Boundary Values
  • Partial Differential Equations
  • ch. 8 Symbolic Differential and Integral Calculus
  • Symbolic Computation with MATLAB. Symbolic Variables
  • Symbolic Functions. Substitution and Functional Operations
  • Mathematical Analysis Functions. Limits, Continuity, and Series
  • Derivatives, Integrals and Differential Equations.