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Separation of Variables for Partial Differential Equations: An Eigenfunction Approach includes many realistic applications beyond the usual model problems. The book concentrates on the method of separation of variables for partial differential equations, which remains an integral part of the training in applied mathematics. Beyond the usual model problems, the presentation includes a number of realistic applications that illustrate the power and usefulness of the ideas behind these techniques. This complete, self-contained book includes numerous exercises and error estimates, as well as a rigorous approximation and computational tool.
This text investigates the efficacy and application of the separation of variables method as a primary tool for solving partial differential equations. George L. Cain, an experienced educator in the field of mathematics, provides a rigorous framework that moves beyond standard model problems. By integrating theoretical foundations with practical computational tools, the author demonstrates how these techniques function within the broader context of applied mathematics.
What You Will Find
Experts identify this work as a robust resource for students and practitioners seeking a self-contained approach to partial differential equations. Readers frequently note the balance between theoretical rigor and the inclusion of practical, real-world applications.
Page Count:
304
Publication Date:
2011-01-01
Publisher:
Chapman and Hall/CRC
ISBN-10:
020349878X
ISBN-13:
9780203498781
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