MATLAB® for Scientific Computing and Artificial Intelligence (Chapman & Hall/CRC Mathematics and Artificial Intelligence Series)

By Stephen Lynch

MATLAB(R) for Scientific Computing and Artificial Intelligence is split into 3 parts: in Section I, the reader is introduced to the MATLAB programming language and shown how MATLAB can aid in the understanding of advanced High School Mathematics. In Section II, the reader is shown how MATLAB can be used to solve real-world problems from a broad range of scientific disciplines. The end of Section II introduces Simulink. Finally, in Section III, the reader is introduced to neuron oscillator computing, neural networks, and shown how the Deep Learning Toolbox can be used to solve a large array of problems in Artificial Intelligence (AI).

This book was developed from a series of national and international workshops that the author has been delivering for over twenty-five years. The book is beginner friendly and has a strong practical emphasis on programming and computational modelling.

Features:

No prior experience of programming is required. Online GitHub repository available with codes for readers to practice. Covers applications and examples from biology, chemistry, computer science, data science, earth sciences, economics, electrical and mechanical engineering, mathematics, physics, psychology, sports science, statistics, and neuron oscillator computing. Full solutions to exercises are available on the Web.

Support Material:

GitHub Repository of MATLAB/Simulink files, data files, and Solutions to Exercises:

https: //github.com/proflynch/MATLAB-for-Scientific-Computing-and-AI/

MATLAB Central File Exchange:

https: //mathworks.com/matlabcentral/profile/authors/63144/

• Format: Hardcover
• Language: English
• ISBN: 1041125992
• ISBN13: 9781041125990
• Release Date: January 2027
• Publisher: Chapman and Hall/CRC
• Length: 392 Pages