MATLAB: A Practical Introduction to Programming and Problem Solving, winner of TAA’s 2017 Textbook Excellence Award ("Texty"), guides the reader through both programming and built-in functions to easily exploit MATLAB’s extensive capabilities for tackling engineering and scientific problems. Assuming no knowledge of programming, this book starts with programming concepts, such as variables, assignments, and selection statements, moves on to loops, and then solves problems using both the programming concept and the power of MATLAB. The sixth edition has been updated to reflect the functionality of the current version of MATLAB (R2021a), including the introduction of machine learning concepts and the Machine Learning Toolbox, and new sections on data formats and data scrubbing.
1. Part 1: Introduction to Programming Using MATLAB® - p. 1 2. Chapter 1: Introduction to MATLAB® - p. 3 3. Chapter 2: Vectors and Matrices - p. 39 4. Chapter 3: Introduction to MATLAB Programming - p. 84 5. Chapter 4: Selection Statements - p. 131 6. Chapter 5: Loop Statements and Vectorizing Code - p. 157 7. Chapter 6: MATLAB Programs - p. 203 8. Chapter 7: Text Manipulation - p. 249 9. Chapter 8: Data Structures - p. 277 10. Part 2: Advanced Topics for Problem Solving with MATLAB - p. 315 11. Chapter 9: Data Transfer - p. 317 12. Chapter 10: Advanced Functions - p. 341 13. Chapter 11: Introduction to Object-Oriented Programming and Graphics - p. 369 14. Chapter 12: Advanced Plotting Techniques - p. 411 15. Chapter 13: Sights and Sounds - p. 445 16. Chapter 14: Advanced Mathematics - p. 497 17. Chapter 15: Basic Machine Learning Algorithms and Concepts - p. 533 18. Appendix I: MATLAB® Functions (Not Including Those Listed in the “Explore Other Interesting Features” Sections or in the “Data Science and Machine Learning Supplement” Sections) - p. 549 19. Appendix II: MATLAB® and Simulink Toolboxes - p. 561 20. Index - p. 563
MATLAB: A Practical Introduction to Programming and Problem Solving, winner of TAA’s 2017 Textbook Excellence Award ("Texty"), guides the reader through both programming and built-in functions to easily exploit MATLAB’s extensive capabilities for tackling engineering and scientific problems. Assuming no knowledge of programming, this book starts with programming concepts, such as variables, assignments, and selection statements, moves on to loops, and then solves problems using both the programming concept and the power of MATLAB. The sixth edition has been updated to reflect the functionality of the current version of MATLAB (R2021a), including the introduction of machine learning concepts and the Machine Learning Toolbox, and new sections on data formats and data scrubbing.
1. Part 1: Introduction to Programming Using MATLAB® - p. 1 2. Chapter 1: Introduction to MATLAB® - p. 3 3. Chapter 2: Vectors and Matrices - p. 39 4. Chapter 3: Introduction to MATLAB Programming - p. 84 5. Chapter 4: Selection Statements - p. 131 6. Chapter 5: Loop Statements and Vectorizing Code - p. 157 7. Chapter 6: MATLAB Programs - p. 203 8. Chapter 7: Text Manipulation - p. 249 9. Chapter 8: Data Structures - p. 277 10. Part 2: Advanced Topics for Problem Solving with MATLAB - p. 315 11. Chapter 9: Data Transfer - p. 317 12. Chapter 10: Advanced Functions - p. 341 13. Chapter 11: Introduction to Object-Oriented Programming and Graphics - p. 369 14. Chapter 12: Advanced Plotting Techniques - p. 411 15. Chapter 13: Sights and Sounds - p. 445 16. Chapter 14: Advanced Mathematics - p. 497 17. Chapter 15: Basic Machine Learning Algorithms and Concepts - p. 533 18. Appendix I: MATLAB® Functions (Not Including Those Listed in the “Explore Other Interesting Features” Sections or in the “Data Science and Machine Learning Supplement” Sections) - p. 549 19. Appendix II: MATLAB® and Simulink Toolboxes - p. 561 20. Index - p. 563
