MATLAB: A Practical Introduction to Programming and Problem Solving
Attaway, Dorothy C.
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. Presents programming concepts and MATLAB built-in functions side by side, giving students the ability to program efficiently and exploit the power of MATLAB to solve technical problems Offers sections on common pitfalls and programming guidelines that direct students to best practice procedures Tests conceptual understanding of the material with Quick Questions! and Practice sections within each chapter Content in this edition has been updated to MATLAB version R2021a where appropriate For this edition, new sections introducing concepts relevant to machine learning have been added to the end of every chapter along with a new Introduction to Machine Learning chapter INDICE: Part 1 Introduction to Programming Using MATLAB1. Introduction to MATLAB2. Vectors and Matrices3. Introduction to MATLAB Programming4. Selection Statements5. Loop Statements and Vectorizing Code6. MATLAB Programs7. Text Manipulation8. Data StructuresPart 2 Advanced Topics for Problem Solving with MATLAB9. Data Transfer10. Advanced Functions11. Introduction to Object-Oriented Programming and Graphics12. Advanced Plotting Techniques13. Sights and Sounds14. Advanced Mathematics15. Introduction to Machine Learning
- ISBN: 978-0-323-91750-6
- Editorial: Butterworth-Heinemann
- Encuadernacion: Rústica
- Páginas: 640
- Fecha Publicación: 15/08/2022
- Nº Volúmenes: 1
- Idioma: Inglés