Numerical Methods for Engineering Applications

State-of-the-art numerical methods for solving complex engineering problems

Great strides in computer technology have been made in the years since the popular first edition of this book was published. Several excellent software packages now help engineers solve complex problems. Making the most of these programs requires a working knowledge of the numerical methods on which the programs are based. Numerical Methods for Engineering Application provides that knowledge.

While it avoids intense mathematical detail, Numerical Methods for Engineering Application supplies more in-depth explanations of methods than found in the typical engineer's numerical "cookbook." It offers complete coverage of most commonly encountered algebraic, interpolation, and integration problems. Ordinary differential equations are examined in great detail, as are three common types of partial differential equations—parabolic, elliptic, and hyperbolic. The author also explores a wide range of methods for solving initial and boundary value problems.

This complete guide to numerical methods for solving engineering problems on computers provides:
* Practical advice on how to select the best method for a given problem
* Valuable insights into how each method works and why it is the best choice
* Complete algorithms and source code for all programs covered
* Code from the book and problem-solving programs designed by the author available from the author's website

Numerical Methods for Engineering Application is a valuable working resource for engineers and applied physicists. It also serves as an excellent upper-level text for physics and engineering students in courses on modern numerical methods.

State-of-the-art numerical methods for solving complex engineering problems

Great strides in computer technology have been made in the years since the popular first edition of this book was published. Several excellent software packages now help engineers solve complex problems. Making the most of these programs requires a working knowledge of the numerical methods on which the programs are based. Numerical Methods for Engineering Application provides that knowledge.

While it avoids intense mathematical detail, Numerical Methods for Engineering Application supplies more in-depth explanations of methods than found in the typical engineer's numerical "cookbook." It offers complete coverage of most commonly encountered algebraic, interpolation, and integration problems. Ordinary differential equations are examined in great detail, as are three common types of partial differential equations—parabolic, elliptic, and hyperbolic. The author also explores a wide range of methods for solving initial and boundary value problems.

This complete guide to numerical methods for solving engineering problems on computers provides:
* Practical advice on how to select the best method for a given problem
* Valuable insights into how each method works and why it is the best choice
* Complete algorithms and source code for all programs covered
* Code from the book and problem-solving programs designed by the author available from the author's website

Numerical Methods for Engineering Application is a valuable working resource for engineers and applied physicists. It also serves as an excellent upper-level text for physics and engineeringstudents in courses on modern numerical methods.

Booknews

Provides background on numerical methods on which engineering software is based. Covers most commonly encountered algebraic, interpolation, and integration problems, avoiding intense mathematical detail. Ordinary differential equations are examined in depth, as are three types of partial differential equations: parabolic, elliptic, and hyperbolic. Also explores methods for solving initial and boundary value problems, and gives advice on how to select the best method for a given problem. Includes chapter problems. For engineers, applied physicists, and engineering students. This second edition reflects advances in computer technology and computational engineering that have affected the field since the first edition was published 15 years ago. This edition divides material into eight rather than four chapters, and lengthy code has been removed from the text and made available on the Internet. Annotation c. by Book News, Inc., Portland, Or.

JOEL H. FERZIGER, PhD, is a professor in the Stanford University Department of Mechanical Engineering. Dr. Ferziger holds a doctorate in nuclear engineering from the University of Michigan. He is a Max Planck Award recipient, a Humboldt Fellow, and a Fellow of ASME and APS. His other books include Computational Methods for Fluid Dynamics.