Boundary Value Problems : And Partial Differential Equations

Powers, David L.

ISBN 10: 0123747198 / ISBN 13: 9780123747198

Published by Academic Press, 2009

About this Item

Seller Inventory # 6239678-n

Bibliographic Details

• Title: Boundary Value Problems : And Partial Differential Equations
• Publisher: Academic Press
• Publication Date: 2009
• Language: English
• ISBN 10: 0123747198
• ISBN 13: 9780123747198
• Binding: Hardcover
• Condition: New

About this title

Synopsis

Boundary Value Problems, Sixth Edition, is the leading text on boundary value problems and Fourier series for professionals and students in engineering, science, and mathematics who work with partial differential equations. In this updated edition, author David Powers provides a thorough overview of solving boundary value problems involving partial differential equations by the methods of separation of variables. Additional techniques used include Laplace transform and numerical methods.

The book contains nearly 900 exercises ranging in difficulty from basic drills to advanced problem solving exercises.

Professors and students agree that Powers is a master at creating examples and exercises that skillfully illustrate the techniques used to solve science and engineering problems.

Ancillary list:

• Online SSM http://www.elsevierdirect.com/product.jsp?isbn=9780123747198
• Online ISM http://textbooks.elsevier.com/web/manuals.aspx?isbn=9780123747198
• Companion site, Ebook http://www.elsevierdirect.com/companion.jsp?ISBN=9780123747198
• Student Solution Manual for Sixth Edition  https://www.elsevier.com/books/student solutions manual boundary value problems/powers/978 0 12 375664 0
• New animations and graphics of solutions, additional exercises and chapter review questions on the web
• Nearly 900 exercises ranging in difficulty from basic drills to advanced problem solving exercises
• Many exercises based on current engineering applications

About the Author

David Powers has taught applied mathematics for over 40 years. His research includes matrix theory, graph theory and applications to biochemistry and engineering.