Engineering Mathematics with MATLAB Applications: Vol. 1, Fundamentals

This book provides a comprehensive approach for engineering mathematics emphasizing fundamental concepts. The book is the first two complementary textbooks. Volume 1 introduces MATLAB software, source of errors in calculations, root finding, solution of nonlinear algebraic equations, interpolation, curve fitting, numerical derivative, numerical integral and eigenvalue problems. Distinct from similar books, unique sections are covered in each chapter such as solution of nonlinear algebraic systems, interpolation and curve fitting methods for multivariate functions such as Kriging, response surface methodology and artificial neural networks, quadrature based numerical derivative and integral methods. To deepen conceptual understanding and improve overall learning, example problems are solved in each chapter illustrating both theory and software-based methods. MATLAB programs developed by the author are additionally provided in appendices to implement the methods and show the examples of program development for engineering applications. 

List of contents

Quadratic and Cubic Product Systems.- Inflection Singularity and Bifurcation Dynamics.- Saddle-node and hyperbolic-flow singular dynamics.

About the author

Prof. Dr. Hasan KURTARAN is a Professor in the Department of Aerospace Engineering at Adana Alparslan Türkeş Science and Technology University in Turkey.

Product details

• Authors: Hasan Kurtaran
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Release: 13.07.2025
• EAN: 9783031818684
• ISBN: 978-3-0-3181868-4
• No. of pages: 450
• Illustrations: Approx. 450 p. 200 illus. in color.
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; Mathematische und statistische Software, Mathematische Modellierung, Numerische Mathematik, Computational Mathematics and Numerical Analysis, Engineering mathematics, Mathematical Software, Mathematical Modeling and Industrial Mathematics, Artificial Neural Networks, interpolation and curve fitting methods, quadrature based numerical derivative, nonlinear algebraic systems, Kriging multivariate function, integral methods, response surface methodology