The Galerkin method is a mathematical technique used to convert a continuous problem, such as a partial differential equation, into a discrete problem that can be solved numerically. This method involves selecting a set of basis functions to approximate the solution and then ensuring that the residual of the approximation is orthogonal to the chosen basis functions. This approach is particularly useful in solving boundary value problems and is a fundamental concept in spectral methods and spectral collocation techniques.
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