Description

Book Synopsis

For one-semester sophomore- or junior-level courses in Differential Equations.


Fosters the conceptual development and geometric visualization students neednow available with MyLab Math

Differential Equations: Computing and Modeling blends traditional algebra problem-solving skills with the conceptual development and geometric visualization of a modern differential equations course that is essential to science and engineering students. It balances traditional manual methods with the new, computer-based methods that illuminate qualitative phenomenaa comprehensive approach that makes accessible a wider range of more realistic applications.

 

The book starts and ends with discussions of mathematical modeling of real-world phenomena, evident in figures, examples, problems, and applications throughout. For

Table of Contents
Table of Contents

  1. First-Order Differential Equations
    • 1.1 Differential Equations and Mathematical Models
    • 1.2 Integrals as General and Particular Solutions
    • 1.3 Slope Fields and Solution Curves
    • 1.4 Separable Equations and Applications
    • 1.5 Linear First-Order Equations
    • 1.6 Substitution Methods and Exact Equations
  2. Mathematical Models and Numerical Methods
    • 2.1 Population Models
    • 2.2 Equilibrium Solutions and Stability
    • 2.3 Acceleration—Velocity Models
    • 2.4 Numerical Approximation: Euler’s Method
    • 2.5 A Closer Look at the Euler Method
    • 2.6 The Runge—Kutta Method
  3. Linear Equations of Higher Order
    • 3.1 Introduction: Second-Order Linear Equations
    • 3.2 General Solutions of Linear Equations
    • 3.3 Homogeneous Equations with Constant Coefficients
    • 3.4 Mechanical Vibrations
    • 3.5 Nonhomogeneous Equations and Undetermined Coefficients
    • 3.6 Forced Oscillations and Resonance
    • 3.7 Electrical Circuits
    • 3.8 Endpoint Problems and Eigenvalues
  4. Introduction to Systems of Differential Equations
    • 4.1 First-Order Systems and Applications
    • 4.2 The Method of Elimination
    • 4.3 Numerical Methods for Systems
  5. Linear Systems of Differential Equations
    • 5.1 Matrices and Linear Systems
    • 5.2 The Eigenvalue Method for Homogeneous Systems
    • 5.3 A Gallery of Solution Curves of Linear Systems
    • 5.4 Second-Order Systems and Mechanical Applications
    • 5.5 Multiple Eigenvalue Solutions
    • 5.6 Matrix Exponentials and Linear Systems
    • 5.7 Nonhomogeneous Linear Systems
  6. Nonlinear Systems and Phenomena
    • 6.1 Stability and the Phase Plane
    • 6.2 Linear and Almost Linear Systems
    • 6.3 Ecological Models: Predators and Competitors
    • 6.4 Nonlinear Mechanical Systems
    • 6.5 Chaos in Dynamical Systems
  7. Laplace Transform Methods
    • 7.1 Laplace Transforms and Inverse Transforms
    • 7.2 Transformation of Initial Value Problems
    • 7.3 Translation and Partial Fractions
    • 7.4 Derivatives, Integrals, and Products of Transforms
    • 7.5 Periodic and Piecewise Continuous Input Functions
    • 7.6 Impulses and Delta Functions

Differential Equations

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    £216.17

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    Order before 4pm today for delivery by Mon 29 Jun 2026.

    A Hardback by C. Edwards, David Penney, David Calvis

    3 in stock


      View other formats and editions of Differential Equations by C. Edwards

      Publisher: Pearson Education (US)
      Publication Date: 24/01/2018
      ISBN13: 9780134850474, 978-0134850474
      ISBN10: 0134850475

      Description

      Book Synopsis

      For one-semester sophomore- or junior-level courses in Differential Equations.


      Fosters the conceptual development and geometric visualization students neednow available with MyLab Math

      Differential Equations: Computing and Modeling blends traditional algebra problem-solving skills with the conceptual development and geometric visualization of a modern differential equations course that is essential to science and engineering students. It balances traditional manual methods with the new, computer-based methods that illuminate qualitative phenomenaa comprehensive approach that makes accessible a wider range of more realistic applications.

       

      The book starts and ends with discussions of mathematical modeling of real-world phenomena, evident in figures, examples, problems, and applications throughout. For

      Table of Contents
      Table of Contents

      1. First-Order Differential Equations
        • 1.1 Differential Equations and Mathematical Models
        • 1.2 Integrals as General and Particular Solutions
        • 1.3 Slope Fields and Solution Curves
        • 1.4 Separable Equations and Applications
        • 1.5 Linear First-Order Equations
        • 1.6 Substitution Methods and Exact Equations
      2. Mathematical Models and Numerical Methods
        • 2.1 Population Models
        • 2.2 Equilibrium Solutions and Stability
        • 2.3 Acceleration—Velocity Models
        • 2.4 Numerical Approximation: Euler’s Method
        • 2.5 A Closer Look at the Euler Method
        • 2.6 The Runge—Kutta Method
      3. Linear Equations of Higher Order
        • 3.1 Introduction: Second-Order Linear Equations
        • 3.2 General Solutions of Linear Equations
        • 3.3 Homogeneous Equations with Constant Coefficients
        • 3.4 Mechanical Vibrations
        • 3.5 Nonhomogeneous Equations and Undetermined Coefficients
        • 3.6 Forced Oscillations and Resonance
        • 3.7 Electrical Circuits
        • 3.8 Endpoint Problems and Eigenvalues
      4. Introduction to Systems of Differential Equations
        • 4.1 First-Order Systems and Applications
        • 4.2 The Method of Elimination
        • 4.3 Numerical Methods for Systems
      5. Linear Systems of Differential Equations
        • 5.1 Matrices and Linear Systems
        • 5.2 The Eigenvalue Method for Homogeneous Systems
        • 5.3 A Gallery of Solution Curves of Linear Systems
        • 5.4 Second-Order Systems and Mechanical Applications
        • 5.5 Multiple Eigenvalue Solutions
        • 5.6 Matrix Exponentials and Linear Systems
        • 5.7 Nonhomogeneous Linear Systems
      6. Nonlinear Systems and Phenomena
        • 6.1 Stability and the Phase Plane
        • 6.2 Linear and Almost Linear Systems
        • 6.3 Ecological Models: Predators and Competitors
        • 6.4 Nonlinear Mechanical Systems
        • 6.5 Chaos in Dynamical Systems
      7. Laplace Transform Methods
        • 7.1 Laplace Transforms and Inverse Transforms
        • 7.2 Transformation of Initial Value Problems
        • 7.3 Translation and Partial Fractions
        • 7.4 Derivatives, Integrals, and Products of Transforms
        • 7.5 Periodic and Piecewise Continuous Input Functions
        • 7.6 Impulses and Delta Functions

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