Computer Methods for Engineering with MATLAB(R) Applications

2. Auflage 2011
ISBN: 978-1-59169-036-8
Verlag: Taylor & Francis Ltd (Sales)

Buch, Englisch, 632 Seiten, Format (B × H): 163 mm x 236 mm, Gewicht: 1020 g

Reihe: Computational and Physical Processes in Mechanics and Thermal Sciences

Substantially revised and updated, Computer Methods for Engineering with MATLAB® Applications, Second Edition presents equations to describe engineering processes and systems. It includes computer methods for solving these equations and discusses the nature and validity of the numerical results for a variety of engineering problems. This edition now uses MATLAB in its discussions of computer solution.

New to the Second Edition

- Recent advances in computational software and hardware

- A large number of MATLAB commands and programs for solving exercises and to encourage students to develop their own computer programs for specific problems

- Additional exercises and examples in all chapters

- New and updated references

The text follows a systematic approach for obtaining physically realistic, valid, and accurate results through numerical modeling. It employs examples from many engineering areas to explain the elements involved in the numerical solution and make the presentation relevant and interesting. It also incorporates a wealth of solved exercises to supplement the discussion and illustrate the ideas and methods presented. The book shows how a computational approach can provide physical insight and obtain inputs for the analysis and design of practical engineering systems.

Zielgruppe

Undergraduate

Autoren/Hrsg.

Jaluria, Yogesh

Fachgebiete

• Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie

Inhaltsverzeichnis

Introduction. Basic Considerations in Computer Methods. A Review of MATLAB Programming. Taylor Series and Numerical Differentiation. Roots of Equations. Numerical Solutions of Simultaneous Algebraic Equations. Numerical Curve Fitting and Interpolation. Numerical Integration. Numerical Solution of Ordinary Differential Equations. Numerical Solution of Partial Differential Equations. Appendices. References. Index.

Über Autor(innen)

Yogesh Jaluria is a Board of Governors Professor in the Mechanical and Aerospace Engineering Department at Rutgers University. He has contributed to more than 450 technical articles and received numerous honors, including the Kern Award from AIChE, the Max Jakob Memorial Award from ASME and AIChE, and the Robert Henry Thurston Lecture Award, Freeman Scholar Award, Worcester Reed Warner Medal, and Heat Transfer Memorial Award, all from ASME.