An Introduction to MATLAB® Programming and Numerical Methods for Engineers
Nonfiction, Science & Nature, Mathematics, Applied, Computers, Application Software, Business Software, Technology
| Author: | Timmy Siauw, Alexandre Bayen, Ph.D., Aeronautics and Astronautics, Stanford University | ISBN: | 9780127999142 |
| Publisher: | Elsevier Science | Publication: | April 5, 2014 |
| Imprint: | Academic Press | Language: | English |
| Author: | Timmy Siauw, Alexandre Bayen, Ph.D., Aeronautics and Astronautics, Stanford University |
| ISBN: | 9780127999142 |
| Publisher: | Elsevier Science |
| Publication: | April 5, 2014 |
| Imprint: | Academic Press |
| Language: | English |
Assuming no prior background in linear algebra or real analysis, An Introduction to MATLAB® Programming and Numerical Methods for Engineers enables you to develop good computational problem solving techniques through the use of numerical methods and the MATLAB® 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.
- Tips, warnings, and "try this" features within each chapter help the reader develop good programming practices
- Chapter summaries, key terms, and functions and operators lists at the end of each chapter allow for quick access to important information
- At least three different types of end of chapter exercises — thinking, writing, and coding — let you assess your understanding and practice what you've learned
Assuming no prior background in linear algebra or real analysis, An Introduction to MATLAB® Programming and Numerical Methods for Engineers enables you to develop good computational problem solving techniques through the use of numerical methods and the MATLAB® 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.
- Tips, warnings, and "try this" features within each chapter help the reader develop good programming practices
- Chapter summaries, key terms, and functions and operators lists at the end of each chapter allow for quick access to important information
- At least three different types of end of chapter exercises — thinking, writing, and coding — let you assess your understanding and practice what you've learned
