This complete, self-contained book presents many realistic applications beyond the usual model problems. It concentrates on the method of separation of variables for PDEs, which remains an integral part of the training in applied mathematics. Beyond the usual model problems, the book includes a number of realistic applications that illustrate the power and usefulness of the ideas behind these techniques. It also incorporates numerous exercises and error estimates as well as a rigorous approximation and computational tool.

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 p