 Название: Engineering Mathematics with MATLAB and Simulink
Автор: Farzin Asadi
Издательство: Springer
Год: 2025
Страниц: 496
Язык: английский
Формат: pdf (true)
Размер: 43.1 MB
This book summarizes the mathematics used by engineers, with an emphasis on developing practical skills and techniques for solving mathematical problems in forms typical of engineering. In addition to paper-and-pencil techniques, the book demonstrates how to solve engineering mathematics problems using state-of-the-art software packages.
Simulink is a powerful graphical programming environment designed for modeling, simulating, and analyzing dynamical systems. It’s part of the MATLAB suite of tools, offering a user-friendly interface for creating block diagrams that represent system components and their interactions.
The Statistics and Machine Learning Toolbox is a powerful toolset within MATLAB that provides a comprehensive range of functions and apps for data analysis, statistical modeling, and machine learning. This chapter introduces key MATLAB functions for statistical analysis and probability theory. The Statistics and Machine Learning Toolbox is required for this chapter. A probability distribution is a mathematical function that describes the likelihood of occurrence of different possible values of a random variable. In simpler terms, it’s a way to model the randomness inherent in many real-world phenomena. MATLAB supports a wide range of probability distributions, both continuous and discrete.
Specifically, it:
• Offers a large collection of progressively more sophisticated mathematical problems.
• Provides a brief review of definitions and formulas at the beginning of each topic.
• Includes complete, tutorial-style solutions to all problems.
• Presents step-by-step solutions using state-of-the-art MATLAB and Simulink tools.
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Engineering Mathematics with MATLAB and Simulink 
