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
Author(s): Timmy Siauw and Alexandre Bayen (Auth.)
Edition: 1
Publisher: Academic Press
Year: 2015
Language: English
Pages: 350
Tags: Библиотека;Компьютерная литература;Matlab / Simulink;
Content:
An Introduction to MATLAB® Programming and Numerical Methods for Engineers, Page i
An Introduction to MATLAB® Programming and Numerical Methods for Engineers, Page iii
Copyright, Page iv
Dedication, Page v
Preface, Pages xi-xiv
Acknowledgments, Page xv
List of Figures, Pages xvii-xix
Chapter 1 - MATLAB® Basics, Pages 3-15
Chapter 2 - Variables and Basic Data Structures, Pages 17-41
Chapter 3 - Functions, Pages 43-65
Chapter 4 - Branching Statements, Pages 67-79
Chapter 5 - Iteration, Pages 81-94
Chapter 6 - Recursion, Pages 95-111
Chapter 7 - Complexity, Pages 113-122
Chapter 8 - Representation of Numbers, Pages 123-133
Chapter 9 - Errors, Good Programming Practices, and Debugging, Pages 135-143
Chapter 10 - Reading and Writing Data, Pages 145-150
Chapter 11 - Visualization and Plotting, Pages 151-173
Chapter 12 - Linear Algebra and Systems of Linear Equations, Pages 177-200
Chapter 13 - Least Squares Regression, Pages 201-210
Chapter 14 - Interpolation, Pages 211-223
Chapter 15 - Series, Pages 225-231
Chapter 16 - Root Finding, Pages 233-243
Chapter 17 - Numerical Differentiation, Pages 245-257
Chapter 18 - Numerical Integration, Pages 259-275
Chapter 19 - Ordinary Differential Equations (ODEs), Pages 277-299
Index, Pages 301-317
