
An Introduction to MATLAB (R) Programming and Numerical Methods for Engineers
Academic Press
Published on 9. June 2014
Book
Paperback/Softback
340 pages
978-0-12-420228-3 (ISBN)
Description
Assuming no prior background in linear algebra or real analysis, An Introduction to MATLAB (R) Programming and Numerical Methods for Engineers enables you to develop good computational problem solving techniques through the use of numerical methods and the MATLAB (R) programming environment. Part One introduces fundamental programming concepts, using simple examples to put new concepts quickly into practice. Part Two covers the fundamentals of algorithms and numerical analysis at a level allowing you to quickly apply results in practical settings.
Reviews / Votes
"The book is well written and provides a very good introduction to the field of MATLAB programming and the basic numerical methods necessary for solving engineering problems....a clear and easy-to-read book that introduces two fundamental subjects for future scientists and engineers: computer programming and numerical computing." --Computing Reviews
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
College/higher education
Engineering students and practicing engineers learning MATLABĀ® programming and numerical methods for the first time.
Product notice
Paperback (trade)
Dimensions
Height: 233 mm
Width: 189 mm
Thickness: 22 mm
Weight
591 gr
ISBN-13
978-0-12-420228-3 (9780124202283)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Timmy Siauw | Alexandre Bayen
An Introduction to MATLAB® Programming and Numerical Methods for Engineers
E-Book
04/2014
Academic Press
€45.99
Available for download
Persons
Alexandre Bayen is the Liao-Cho Professor of Engineering at UC Berkeley. He is a Professor of Electrical Engineering and Computer Science, and Civil and Environmental Engineering. He is currently the Director of the Institute of Transportation Studies (ITS). He is also a Faculty Scientist in Mechanical Engineering, at the Lawrence Berkeley National Laboratory (LBNL). He received the Engineering Degree in applied mathematics from the Ecole Polytechnique, France, in 1998, the M.S. and Ph.D. in aeronautics and astronautics from Stanford University in 1998 and 1999 respectively. He was a Visiting Researcher at NASA Ames Research Center from 2000 to 2003. Between January 2004 and December 2004, he worked as the Research Director of the Autonomous Navigation Laboratory at the Laboratoire de Recherches Balistiques et Aerodynamiques, (Ministere de la Defense, Vernon, France), where he holds the rank of Major. He has been on the faculty at UC Berkeley since 2005. Bayen has authored two books and over 200 articles in peer reviewed journals and conferences. He is the recipient of the Ballhaus Award from Stanford University, 2004, of the CAREER award from the National Science Foundation, 2009 and he is a NASA Top 10 Innovators on Water Sustainability, 2010. His projects Mobile Century and Mobile Millennium received the 2008 Best of ITS Award for 'Best Innovative Practice', at the ITS World Congress and a TRANNY Award from the California Transportation Foundation, 2009. Mobile Millennium has been featured more than 200 times in the media, including TV channels and radio stations (CBS, NBC, ABC, CNET, NPR, KGO, the BBC), and in the popular press (Wall Street Journal, Washington Post, LA Times). Bayen is the recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE) award from the White House, 2010. He is also the recipient of the Okawa Research Grant Award, the Ruberti Prize from the IEEE, and the Huber Prize from the ASCE.
Author
University of California, Berkeley, USA
Associate Professor, Department of Electrical Engineering and Computer Sciences and the Department of Civil and Environmental Engineering, University of California, Berkeley, USA
Content
MATLAB (R) Basics
Variables and Basic Data Structures
Functions
Branching Statement
Iteration
Recursion
Complexity
Representation of Numbers
Errors, Good Practices, and Debugging
Visualization and Plotting
Linear Algebra and Systems of Linear Equations
Least Squares Regression
Interpolation
Series
Root Finding
Finite Differences and Numerical Differentiation
Numerical Integration
Ordinary Differential Equations
Variables and Basic Data Structures
Functions
Branching Statement
Iteration
Recursion
Complexity
Representation of Numbers
Errors, Good Practices, and Debugging
Visualization and Plotting
Linear Algebra and Systems of Linear Equations
Least Squares Regression
Interpolation
Series
Root Finding
Finite Differences and Numerical Differentiation
Numerical Integration
Ordinary Differential Equations