Numerical Methods for Engineers by Steven Chapra

Numerical Methods for Engineers

bySteven Chapra, Raymond Canale

Hardcover | January 24, 2014

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The seventh edition of Chapra and Canale&#39s Numerical Methods for Engineers retains the instructional techniques that have made the text so successful. Chapra and Canale&#39s unique approach opens each part of the text with sections called &#8220Motivation,&#8220 &#8220Mathematical Background,&#8221 and &#8220Orientation&#8221 Each part closes with an &#8220Epilogue&#8221 containing &#8220Trade-Offs,&#8221 &#8220Important Relationships and Formulas,&#8221 and &#8220Advanced Methods and Additional References.&#8221 Much more than a summary, the Epilogue deepens understanding of what has been learned and provides a peek into more advanced methods. Helpful separate Appendices. &#8220Getting Started with MATLAB&#8221 and &#8220Getting Started with Mathcad&#8221 which make excellent references.

Numerous new or revised problems are drawn from actual engineering practice. The expanded breadth of engineering disciplines covered is especially evident in these exercises, which now cover such areas as biotechnology and biomedical engineering. Excellent new examples and case studies span all areas of engineering giving students a broad exposure to various fields in engineering.

Users will find use of files for many popular software packages, specifically MATLAB&#174, Excel&#174 with VBA, and Mathcad&#174. There is also material on developing MATLAB&#174 m-files and VBA macros.

Details & Specs

Title:Numerical Methods for EngineersFormat:HardcoverDimensions:9.4 × 8.4 × 1.9 inPublished:January 24, 2014Publisher:McGraw-Hill EducationLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:007339792X

ISBN - 13:9780073397924

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Extra Content

Table of Contents

Part 1 - Modeling, Computers, and Error Analysis

1) Mathematical Modeling and Engineering Problem Solving

2) Programming and Software

3) Approximations and Round-Off Errors

4) Truncation Errors and the Taylor Series

Part 2 - Roots of Equations

5) Bracketing Methods

6) Open Methods

7) Roots of Polynomials

8) Case Studies: Roots of Equations

Part 3 - Linear Algebraic Equations

9) Gauss Elimination

10) LU Decomposition and Matrix Inversion

11) Special Matrices and Gauss-Seidel

12) Case Studies: Linear Algebraic Equations

Part 4 - Optimization

13) One-Dimensional Unconstrained Optimization

14) Multidimensional Unconstrained Optimization

15) Constrained Optimization

16) Case Studies: Optimization

Part 5 - Curve Fitting

17) Least-Squares Regression

18) Interpolation

19) Fourier Approximation

20) Case Studies: Curve Fitting

Part 6 - Numerical Differentiation and Integration

21) Newton-Cotes Integration Formulas

22) Integration of Equations

23) Numerical Differentiation

24) Case Studies: Numerical Integration and Differentiation

Part 7 - Ordinary Differential Equations

25) Runge-Kutta Methods

26) Stiffness and Multistep Methods

27) Boundary-Value and Eigenvalue Problems

28) Case Studies: Ordinary Differential Equations

Part 8 - Partial Differential Equations

29) Finite Difference: Elliptic Equations

30) Finite Difference: Parabolic Equations

31) Finite-Element Method

32) Case Studies: Partial Differential Equations

Appendix A - The Fourier Series

Appendix B - Getting Started with Matlab

Appendix C - Getting Starte dwith Mathcad