Numerical Analysis for Engineers
Chapman & Hall/CRC (Verlag)
978-1-4822-5035-0 (ISBN)
Each chapter contains many computational examples, as well as a section on applications that contain additional engineering examples. Each chapter also includes a set of exercise problems.
The problems are designed to meet the needs of instructors in assigning homework and to help students with practicing the fundamental concepts. Although the book was developed with emphasis on engineering and technological problems, the numerical methods can also be used to solve problems in other fields of science.
Bilal Ayyub, PhD, is a professor of civil and environmental engineering at the University of Maryland, College Park, and the director of the Center for Technology and Systems Management at the A. James Clark School of Engineering. Dr. Ayyub is a fellow of the American Society of Civil Engineers, the American Society of Mechanical Engineers, the Society of Naval Architects and Marine Engineers, and the Society for Risk Analysis, and is also a senior member of the Institute of Electrical and Electronics Engineers (IEEE). He has completed many research and development projects for many governmental and private entities. Dr. Ayyub has received numerous awards and is the author or coauthor of more than 600 publications in journals, conference proceedings, and reports including 8 textbooks and 14 edited books. Richard H. McCuen, PhD, is the Ben Dyer Professor of civil and environmental engineering at the University of Maryland, College Park. Dr. McCuen earned degrees from Carnegie Mellon University and the Georgia Institute of Technology. Topics in statistical hydrology and stormwater management are his primary research interests. He received numerous awards and is the author of 26 books and over 250 professional papers.
Introduction. Matrices. Introduction to Numerical Methods. Roots of Equations. Simultaneous Linear Equations. Numerical Interpolation. Differentiation and Integration. Differential Equations. Data Description and Treatment. Curve Fitting and Regression Analysis. Numerical Optimization.
| Erscheint lt. Verlag | 4.1.2016 |
|---|---|
| Reihe/Serie | Textbooks in Mathematics |
| Zusatzinfo | 84 Tables, black and white; 106 Illustrations, black and white |
| Sprache | englisch |
| Maße | 178 x 254 mm |
| Gewicht | 954 g |
| Themenwelt | Mathematik / Informatik ► Informatik |
| Mathematik / Informatik ► Mathematik ► Analysis | |
| Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
| Technik ► Maschinenbau | |
| ISBN-10 | 1-4822-5035-7 / 1482250357 |
| ISBN-13 | 978-1-4822-5035-0 / 9781482250350 |
| Zustand | Neuware |
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