Bilal Ayyub, Richard H. Mccuen

Numerical Analysis for Engineers (eBook, ePUB)

Methods and Applications, Second Edition

• Format: ePub

Produktbeschreibung

Numerical Analysis for Engineers: Methods and Applications demonstrates the power of numerical methods in the context of solving complex engineering and scientific problems. The book helps to prepare future engineers and assists practicing engineers in understanding the fundamentals of numerical methods, especially their applications, limitations,

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 451
• Erscheinungstermin: 18. September 2015
• Englisch
• ISBN-13: 9781482250381
• Artikelnr.: 58643743

Autorenporträt

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.

Inhaltsangabe

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.