Numerical Methods for Engineers

Numerical Methods for Engineers

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The fifth edition of "Numerical Methods for Engineers with Software and Programming Applications" continues its tradition of excellence. 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. Also, many, many more challenging problems are included. The expanded breadth of engineering disciplines covered is especially evident in the problems, which now cover such areas as biotechnology and biomedical more

Product details

  • Paperback | 960 pages
  • 210 x 228 x 32mm | 1,542.23g
  • McGraw-Hill Education - Europe
  • McGraw-Hill Education (Ise Editions)
  • London, United Kingdom
  • Revised
  • 5th Revised edition
  • Illustrations (some col.)
  • 0071244298
  • 9780071244299
  • 1,367,266

About Steven C. Chapra

Steven C. Chapra (Medford, MA) is Professor of Civil and Environmental Engineering, Tufts University. Retiredshow more

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 < of Roots> 8 Engineering Applications: Roots of Equations Part 3 Linear Algebraic Equations 9 Gauss Elimination 10 LU Decomposition and Matrix Inversion 11 Special Matrices and Gauss-Seidel 12 Engineering Applications: Linear Algebraic Equations Part 4 Optimization 13 One-Dimensional Unconstrained Optimization 14 Multidimensional Unconstrained Optimization 15 Constrained Optimization 16 Engineering Applications: Optimization Part 5 Curve Fitting 17 Least-Squares Regression 18 Interpolation 19 Fourier Approximation 20 Engineering Applications: Curve Fitting Part 6 Numerical Differentiation and Integration 21 Newton-Cotes Integration Formulas 22 Integration of Equations 23 Numerical Differentiation 24 Engineering Applications: 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 Engineering Applications: Ordinary Differential Equations Part 8 Partial Differential Equations 29 Finite Difference: Elliptic Equations 30 Finite Difference: Parabolic Equations 31 Finite-Element Method 32 Engineering Applications: Partial Differential Equations Appendix A The Fourier Series Appendix B Getting Started with Matlab Bibliography Indexshow more

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150 ratings
3.8 out of 5 stars
5 39% (58)
4 28% (42)
3 14% (21)
2 14% (21)
1 5% (8)
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