Select Ideas in Partial Differential Equations

Peter J. Costa

ISBN 10: 3031599748 / ISBN 13: 9783031599743

Published by Springer Nature Switzerland, 2025

About this Item

Select Ideas in Partial Differential Equations | Peter J. Costa | Buch | xxxii | Englisch | 2025 | Springer Nature Switzerland | EAN 9783031599743 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 128953191

Bibliographic Details

• Title: Select Ideas in Partial Differential Equations
• Publisher: Springer Nature Switzerland
• Publication Date: 2025
• Language: English
• ISBN 10: 3031599748
• ISBN 13: 9783031599743
• Binding: Buch
• Edition: 2nd Edition
• Condition: Neu
• Dimensions: 246W x 173H x 21D millimeters 246 millimeters width by 173 millimeters height by 21 millimeters depth
• Weight: 642 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book provides a concise but thorough introduction to partial differential equations which model phenomena that vary in both space and time. The author begins with a full explanation of the fundamental linear partial differential equations of physics.  The text continues with methods to understand and solve these equations leading ultimately to the solutions of Maxwell’s equations. The author then addresses nonlinearity and provides examples of separation of variables, linearizing change of variables, inverse scattering transform, and numerical methods for select nonlinear equations. Next, the book presents rich sources of advanced techniques and strategies for the study of nonlinear partial differential equations. This second edition includes updates, additional examples, and a new chapter on reaction–diffusion equations. Ultimately, this book is an essential resource for readers in applied mathematics, physics, chemistry, biology, and engineering who are interested in learning about the myriad techniques that have been developed to model and solve linear and nonlinear partial differential equations. 

About the Author

Peter J. Costa, Ph.D., is a Principal Applied Mathematician at Hologic Incorporated in Marlborough, MA. Dr. Costa is the co–creator of MATLAB’s Symbolic Math Toolbox. He has developed mathematical methods for the diagnosis of cervical cancer, tracking of airborne vehicles, the diffusion of nonlinear optical systems, and the transmission of infectious diseases through a population. His research interests include mathematical physics and mathematical biology. He received the Ph.D. in Applied Mathematics, specializing in nonlinear partial differential equations, from the University of Massachusetts at Amherst.