MATLAB Scientific Plotting and Data Analysis

Erscheinungsjahr 2025
ISBN: 978-0-443-36757-1
Verlag: Elsevier - Health Sciences Division

Buch, Englisch, 422 Seiten, Format (B × H): 152 mm x 227 mm, Gewicht: 672 g

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.

Autoren/Hrsg.

Ding, Jinbin

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsvisualisierung
• Mathematik | Informatik EDV | Informatik Business Application Mathematische & Statistische Software

Inhaltsverzeichnis

1.1. Basic MATLAB operations
2. Data types and basic operations
3. Programming
4. Graphics window information
5. 2D plotting
6. 3D plotting
7. Specialized plots
8. Handle graphics objects
9. Descriptive data analysis
10. Interpolation and fitting
11. Regression analysis
12. Solving optimization problems

Über Autor(innen)

Ding, Jinbin
Dr Jinbin Ding graduated from the University of Aeronautics and Astronautics in China, and now works at the Chinese Academy of Sciences. He is a senior engineer and a master's supervisor at the University of the Chinese Academy of Sciences, with nearly twenty years of experience in scientific research. He is currently involved in major national science and technology projects, and is proficient in various engineering applications and data analysis software. He has received honors such as the National Patent Award, the Beijing Patent Award, and the Special Award for Achievement Transformation from the Chinese Academy of Sciences