Free PDF | Applied Numerical Analysis with MATLAB/Simulink: For Engineers and Scientists

Free PDF | Applied Numerical Analysis with MATLAB/Simulink: For Engineers and Scientists

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【Book Description】

Free PDF | Applied Numerical Analysis with MATLAB/Simulink: For Engineers and Scientists

This textbook provides a compact but comprehensive treatment that guides students through applied numerical analysis, using MATLAB/Simulink. Ideal as a hands-on source for courses in Numerical Analysis, this text focuses on solving problems using market-standard software, corresponding to all key concepts covered in the classroom. The author uses his extensive classroom experience to guide students toward a deeper understanding of key concepts, while they gain facility with the software they will need to master for later studies and practical use in their engineering careers.

Numerical analysis is the branch of mathematics that is used to find approximations to difficult problems such as finding the roots of nonlinear equations, integration involving complex expressions, and solving differential equations for which analytical solutions do not exist. It is applied to a wide variety of disciplines such as business, all fields of engineering, computer science, education, geology, meteorology, and others.

Many good books are written about numerical analysis theories. This book doesn’t focus on the theories of numerical analysis. Instead, we focus on solving numerical analysis problems with the aid of tools that MATLAB/Simulink provides for us. This book can accompany and complete any standard theoretical textbook on numerical analysis. The prerequisite for this book is the first course on numerical analysis, and no prior knowledge of MATLAB/Simulink is assumed.

This book is written primarily for students of engineering and science. However, it can be helpful for anyone who wants to solve a numeric problem with MATLAB/Simulink. For instance, master’s or Ph.D. students can use the material presented here to solve the numerical issues of their thesis or papers. All the material presented here can be covered in one semester (14 weeks) with 3 h per week.

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