Mathematical Methods in Engineering
eBook - PDF

Mathematical Methods in Engineering

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Mathematical Methods in Engineering

About this book

This text focuses on a variety of topics in mathematics in common usage in graduate engineering programs including vector calculus, linear and nonlinear ordinary differential equations, approximation methods, vector spaces, linear algebra, integral equations and dynamical systems. The book is designed for engineering graduate students who wonder how much of their basic mathematics will be of use in practice. Following development of the underlying analysis, the book takes students through a large number of examples that have been worked in detail. Students can choose to go through each step or to skip ahead if they so desire. After seeing all the intermediate steps, they will be in a better position to know what is expected of them when solving assignments, examination problems, and when on the job. Chapters conclude with exercises for the student that reinforce the chapter content and help connect the subject matter to a variety of engineering problems. Students have grown up with computer-based tools including numerical calculations and computer graphics; the worked-out examples as well as the end-of-chapter exercises often use computers for numerical and symbolic computations and for graphical display of the results.

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Yes, you can access Mathematical Methods in Engineering by Joseph M. Powers,Mihir Sen in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Engineering General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half title
  3. Title
  4. Copyright
  5. Dedication
  6. Contents
  7. Preface
  8. 1 Multivariable Calculus
  9. 2 Vectors and Tensors in Cartesian Coordinates
  10. 3 First-Order Ordinary Differential Equations
  11. 4 Linear Ordinary Differential Equations
  12. 5 Approximation Methods
  13. 6 Linear Analysis
  14. 7 Linear Algebra
  15. 8 Linear Integral Equations
  16. 9 Dynamical Systems
  17. Appendix A
  18. Bibliography
  19. Index