Numerical Methods for Engineers

ISBN-10: 0073101567

ISBN-13: 9780073101569

Edition: 5th 2006 (Revised)

List price: $163.13
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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.
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Book details

List price: $163.13
Edition: 5th
Copyright year: 2006
Publisher: McGraw-Hill Higher Education
Binding: Hardcover
Pages: 926
Size: 9.00" wide x 9.50" long x 1.50" tall
Weight: 4.158
Language: English

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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