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Numerical Methods for Engineers

Numerical Methods for Engineers

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About the Book

The seventh edition of Chapra and Canale's Numerical Methods for Engineers retain the instructional techniques that have
made the text so successful. Chapra and Canale's unique approach opens each part of the text with sections called
“Motivation,“ “Mathematical Background,” and “Orientation”. Each part closes with an “Epilogue” containing “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.
Salient Features:
• Clear Explanations and Elegantly Rendered Examples are central to the reputation of Chapra and Canale's Numerical
Methods for Engineers
• Challenging Problems are drawn from all engineering disciplines and included in the exercise sets and examples
• Numerous New and Revised Problems drawn from actual engineering practice as well as exciting new areas such as
“Bioengineering and Biotechnology are included in this edition

About the Author

Steven C. Chapra, Professor of Civil and Environmental Engineering, Tufts University Raymond Canale



Table of Contents:
Part 1 Modeling, Computers, and Error Analysis Chapter 1 Mathematical Modeling and Engineering Problem Solving Chapter 2 Programming and Software Chapter 3 Approximations and Round-Off Errors Chapter 4 Truncation Errors and the Taylor Series Part 2 Roots of Equations Chapter 5 Bracketing Methods Chapter 6 Open Methods Chapter 7 Roots of Polynomials Chapter 8 Case Studies: Roots of Equations Part 3 Linear Algebraic Equations Chapter 9 Gauss Elimination Chapter 10 LU Decomposition and Matrix Inversion Chapter 11 Special Matrices and Gauss-Seidel Chapter 12 Case Studies: Linear Algebraic Equations Part 4 Optimization Chapter 13 One-Dimensional Unconstrained Optimization Chapter 14 Multidimensional Unconstrained Optimization Chapter 15 Constrained Optimization Chapter 16 Case Studies: Optimization Part 5 Curve Fitting Chapter 17 Least-Squares Regression Chapter 18 Interpolation Chapter 19 Fourier Approximation Chapter 20 Case Studies: Curve Fitting Part 6 Numerical Differentiation and Integration Chapter 21 Newton-Cotes Integration Formulas Chapter 22 Integration of Equations Chapter 23 Numerical Differentiation Chapter 24 Case Studies: Numerical Integration and Differentiation Part 7 Ordinary Differential Equations Chapter 25 Runge-Kutta Methods Chapter 26 Stiffness and Multistep Methods Chapter 27 Boundary-Value and Eigenvalue Problems Chapter 28 Case Studies: Ordinary Differential Equations Part 8 Partial Differential Equations Chapter 29 Finite Difference: Elliptic Equations Chapter 30 Finite Difference: Parabolic Equations Chapter 31 Finite-Element Method Chapter 32 Case Studies: Partial Differential Equations Appendix A The Fourier Series Appendix B Getting Started with Matlab Appendix C Getting Started with Mathcad Bibliography Index


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Product Details
  • ISBN-13: 9789352602131
  • Publisher: McGraw Hill Education (India) Pvt Ltd.
  • Binding: Paperback
  • No of Pages: 988
  • ISBN-10: 9352602137
  • Publisher Date: Aug-2016
  • Edition: 7

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