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    Numerical Methods for Engineers

    ISBN-10: 0073101567
    ISBN-13: 9780073101569
    Author(s): Steven C. Chapra, Raymond Canale
    Description: The fifth edition of "Numerical Methods for Engineers continues its tradition of excellence. Instructors love this text because it is a comprehensive text that is easy to teach from. Students love it because it is written for them--with great  More...
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    List Price: $163.13
    Edition: 5th
    Publisher: McGraw-Hill Higher Education
    Binding: Hardcover
    Pages: 926
    Size: 9.00" wide x 9.50" long x 1.50" tall
    Weight: 4.202
    Language: English

    The fifth edition of "Numerical Methods for Engineers continues its tradition of excellence. Instructors love this text because it is a comprehensive text that is easy to teach from. Students love it because it is written for them--with great pedagogy and clear explanations and examples throughout. The text features a broad array of applications, including all engineering disciplines. The revision retains the successful pedagogy of the prior editions. Chapra and Canale's unique approach opens each part of the text with sections called Motivation, Mathematical Background, and Orientation, preparing the student for what is to come in a motivating and engaging manner. Each part closes with an Epilogue containing sections called Trade-Offs, Important Relationships and Formulas, and Advanced Methods and Additional References. Much more than a summary, the Epilogue deepens understanding of what has been learned and provides a peek into more advanced methods. Users will find use of software packages, specifically MATLAB and Excel with VBA. This includes material on developing MATLAB m-files and VBA macros. Approximately 80% of the problems are new or revised for this edition. The expanded breadth of engineering disciplines covered is especially evident in the problems, which now cover such areas as biotechnology and biomedical engineering.

    Modeling, Computers, and Error Analysis
    Mathematical Modeling and Engineering Problem Solving
    Programming and Software
    Approximations and Round-Off Errors
    Truncation Errors and the Taylor Series
    Roots of Equations
    Bracketing Methods
    Open Methods
    Roots of Polynomials
    Case Studies: Roots of Equations
    Linear Algebraic Equations
    Gauss Elimination
    LU Decomposition and Matrix Inversion
    Special Matrices and Gauss-Seidel
    Case Studies: Linear Algebraic Equations
    One-Dimensional Unconstrained Optimization
    Multidimensional Unconstrained Optimization
    Constrained Optimization
    Case Studies: Optimization
    Curve Fitting
    Least-Squares Regression
    Fourier Approximation
    Case Studies: Curve Fitting
    Numerical Differentiation and Integration
    Newton-Cotes Integration Formulas
    Integration of Equations
    Numerical Differentiation
    Case Studies: Numerical Integration and Differentiation
    Ordinary Differential Equations
    Runge-Kutta Methods
    Stiffness and Multistep Methods
    Boundary-Value and Eigenvalue Problems
    Case Studies: Ordinary Differential Equations
    Partial Differential Equations
    Finite Difference: Elliptic Equations
    Finite Difference: Parabolic Equations
    Finite-Element Method
    Case Studies: Partial Differential Equations
    The Fourier Series
    Getting Started with Matlab

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