An Introduction To Matlab Programming And Numerical Methods For Engineers by Timmy Siauw

An Introduction To Matlab Programming And Numerical Methods For Engineers

byTimmy Siauw, Alexandre BayenEditorTimmy Siauw

Paperback | April 18, 2014

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Assuming no prior background in linear algebra or real analysis,An Introduction to MATLAB®Programming and Numerical Methods for Engineersenables 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

About The Author

Associate Professor, Systems EngineeringDepartment of Electrical Engineering and Computer SciencesDepartment of Civil and Environmental EngineeringUniversity of California BerkeleyPh.D. Aeronautics and Astronautics, Stanford University, 2003Research interests: Mobile internet applications (location based services), participatory sensin...

Details & Specs

Title:An Introduction To Matlab Programming And Numerical Methods For EngineersFormat:PaperbackDimensions:340 pages, 8.75 × 6.35 × 0.68 inPublished:April 18, 2014Publisher:Academic PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0124202284

ISBN - 13:9780124202283

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Extra Content

Table of Contents

  1. MATLAB® Basics
  2. Variables and Basic Data Structures
  3. Functions
  4. Branching Statement
  5. Iteration
  6. Recursion
  7. Complexity
  8. Representation of Numbers
  9. Errors, Good Practices, and Debugging
  10. Visualization and Plotting
  11. Linear Algebra and Systems of Linear Equations
  12. Least Squares Regression
  13. Interpolation
  14. Series
  15. Root Finding
  16. Finite Differences and Numerical Differentiation
  17. Numerical Integration
  18. Ordinary Differential Equations

Editorial Reviews

"...a clear and easy-to-read book that introduces two fundamental subjects for future scientists and engineers: computer programming and numerical computing."-Computing Reviews