Engineering Mathematics With Matlab Applications: Advanced Topics (2) - Rilegato

Kurtaran, Hasan

 
9783031818752: Engineering Mathematics With Matlab Applications: Advanced Topics (2)

Sinossi

This book provides a comprehensive approach to engineering mathematics, concentrating on advanced topics. The book is the second of two complementary textbooks. Volume 2 covers analytical, approximate (semi-analytical), and numerical solution of differential equations, finite element and optimization methods. Within the context of numerical solution of differential equations, explicit and implicit methods are extensively covered. Distinct from similar books, unique sections are covered in each chapter, for example, differential quadrature method is uniquely included in the numerical solution of differential equations. In optimization section, both classical and modern optimization methods are covered in sufficient detail. 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.

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Informazioni sull?autore

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

Dalla quarta di copertina

This book provides a comprehensive approach to engineering mathematics, concentrating on advanced topics. The book is the second of two complementary textbooks. Volume 2 covers analytical, approximate (semi-analytical), and numerical solution of differential equations, finite element and optimization methods. Within the context of numerical solution of differential equations, explicit and implicit methods are extensively covered. Distinct from similar books, unique sections are covered in each chapter, for example, differential quadrature method is uniquely included in the numerical solution of differential equations. In optimization section, both classical and modern optimization methods are covered in sufficient detail. 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. 

  • Stands as an ideal resource for upper-level undergraduate/graduate students and a reference for researchers
  • Covers more-advanced topics of engineering mathematics in a lucid, rigorous treatment including many applications
  • Includes worked-out examples solved with both hand calculations and MATLAB commands

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