MATLAB Scientific Plotting and Data Analysis combines the author's extensive experience in data analysis and scientific plotting to provide detailed explanations of the methods and techniques for using MATLAB. The book is divided into three parts, consisting of 12 chapters. The first part covers the basics of MATLAB, including the operating environment, data types and basic operations, file operations, and programming. The second part focuses on MATLAB's data visualization capabilities, with topics such as figure window information, 2D plotting, 3D plotting, specialized plotting, and handle graphics objects.
The third part covers descriptive data analysis, interpolation and fitting, regression analysis, and optimization problem solving. Furthermore, this book provides links to over 200 examples of teaching videos and hands-on exercise resource files, enhancing readers' learning efficiency.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. About the author - p. xiii 7. Preface - p. xv 8. Summary - p. xvii 9. Chapter 1. Basic MATLAB operations∗ - p. 1 10. Chapter 2. Data types and basic operations∗ - p. 27 11. Chapter 3. Programming∗ - p. 67 12. Chapter 4. Graphics window information∗ - p. 89 13. Chapter 5. 2D plotting∗ - p. 141 14. Chapter 6. 3D plotting∗ - p. 169 15. Chapter 7. Specialized plots∗ - p. 201 16. Chapter 8. Handle graphics objects∗ - p. 251 17. Chapter 9. Descriptive data analysis∗ - p. 293 18. Chapter 10. Interpolation and fitting - p. 319 19. Chapter 11. Regression analysis∗ - p. 341 20. Chapter 12. Solving optimization problems∗ - p. 359 21. References - p. 395 22. Index - p. 397
MATLAB Scientific Plotting and Data Analysis combines the author's extensive experience in data analysis and scientific plotting to provide detailed explanations of the methods and techniques for using MATLAB. The book is divided into three parts, consisting of 12 chapters. The first part covers the basics of MATLAB, including the operating environment, data types and basic operations, file operations, and programming. The second part focuses on MATLAB's data visualization capabilities, with topics such as figure window information, 2D plotting, 3D plotting, specialized plotting, and handle graphics objects.
The third part covers descriptive data analysis, interpolation and fitting, regression analysis, and optimization problem solving. Furthermore, this book provides links to over 200 examples of teaching videos and hands-on exercise resource files, enhancing readers' learning efficiency.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. About the author - p. xiii 7. Preface - p. xv 8. Summary - p. xvii 9. Chapter 1. Basic MATLAB operations∗ - p. 1 10. Chapter 2. Data types and basic operations∗ - p. 27 11. Chapter 3. Programming∗ - p. 67 12. Chapter 4. Graphics window information∗ - p. 89 13. Chapter 5. 2D plotting∗ - p. 141 14. Chapter 6. 3D plotting∗ - p. 169 15. Chapter 7. Specialized plots∗ - p. 201 16. Chapter 8. Handle graphics objects∗ - p. 251 17. Chapter 9. Descriptive data analysis∗ - p. 293 18. Chapter 10. Interpolation and fitting - p. 319 19. Chapter 11. Regression analysis∗ - p. 341 20. Chapter 12. Solving optimization problems∗ - p. 359 21. References - p. 395 22. Index - p. 397
