9781441979186-1441979182-Engineering Differential Equations: Theory and Applications

Engineering Differential Equations: Theory and Applications

ISBN-13: 9781441979186
ISBN-10: 1441979182
Edition: 2011
Author: Bill Goodwine
Publication date: 2010
Publisher: Springer
Format: Hardcover 764 pages
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Book details

ISBN-13: 9781441979186
ISBN-10: 1441979182
Edition: 2011
Author: Bill Goodwine
Publication date: 2010
Publisher: Springer
Format: Hardcover 764 pages

Summary

Engineering Differential Equations: Theory and Applications (ISBN-13: 9781441979186 and ISBN-10: 1441979182), written by authors Bill Goodwine, was published by Springer in 2010. With an overall rating of 4.0 stars, it's a notable title among other Engineering (Pure Mathematics, Mathematics, System Theory, Physics) books. You can easily purchase or rent Engineering Differential Equations: Theory and Applications (Hardcover) from BooksRun, along with many other new and used Engineering books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $1.35.

Description

This book is a comprehensive treatment of engineering undergraduate differential equations as well as linear vibrations and feedback control. While this material has traditionally been separated into different courses in undergraduate engineering curricula. This text provides a streamlined and efficient treatment of material normally covered in three courses. Ultimately, engineering students study mathematics in order to be able to solve problems within the engineering realm. Engineering Differential Equations: Theory and Applications guides students to approach the mathematical theory with much greater interest and enthusiasm by teaching the theory together with applications. Additionally, it includes an abundance of detailed examples. Appendices include numerous C and FORTRAN example programs. This book is intended for engineering undergraduate students, particularly aerospace and mechanical engineers and students in other disciplines concerned with mechanical systems analysis and control. Prerequisites include basic and advanced calculus with an introduction to linear algebra.

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