Separation of Variables for Partial Differential Equations: An Eigenfunction Approach
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.
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Separation of Variables for Partial Differential Equations: An Eigenfunction Approach
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.
240.0 In Stock
Separation of Variables for Partial Differential Equations: An Eigenfunction Approach

Separation of Variables for Partial Differential Equations: An Eigenfunction Approach

Separation of Variables for Partial Differential Equations: An Eigenfunction Approach

Separation of Variables for Partial Differential Equations: An Eigenfunction Approach

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Overview

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.

Product Details

ISBN-13: 9781584884200
Publisher: Taylor & Francis
Publication date: 11/21/2005
Series: Studies in Advanced Mathematics Series
Edition description: New Edition
Pages: 304
Product dimensions: 6.12(w) x 9.19(h) x (d)

About the Author

Cain, George; Meyer, Gunter H.

Table of Contents

Potential, Heat, and Wave Equations. Basic Approximation Theory. Sturm–Liouville Problems. Fourier Series. Eigenfunction Expansions for Equations in Two Independent Variables. One-Dimensional Diffusion Equation. One-Dimensional Wave Equation. Potential Problems in the Plane. Multidimensional Problems. Bibliography. Index.
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